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[1]
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S. Acton, P. Soliz, S. Russell, and M. Pattichis.
Content Based Image Retrieval: The Foundation for Future
Case-Based and Evidence-based Ophthalmology.
In Proc. IEEE International Conference on Multimedia and
Expo, pages 541--544, June 2008.
[ bib |
.pdf ]
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[2]
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C. Agurto, S. Barriga, V. Murray, S. Murillo, G. Zamora, W. Bauman,
M. Pattichis, and P. Soliz.
Toward comprehensive detection of sight threatening retinal disease
using a multiscale AM-FM methodology.
In SPIE Medical Imaging, pages 796316--796316.
International Society for Optics and Photonics, 2011.
[ bib ]
|
|
[3]
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C. Agurto, S. Barriga, V. Murray, S. Nemeth, R. Crammer, W. Bauman, G. Zamora,
M. Pattichis, and P. Soliz.
Automatic Detection of Diabetic Retinopathy and Age-Related
Macular Degeneration in Digital Fundus Images.
Investigative Ophthalmology and Visual Science,
52(8):5862--5871, 2011.
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[4]
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C. Agurto, S. Barriga, V. Murray, M. Pattichis, and P. Soliz.
Effects of image compression and degradation on an automatic diabetic
retinopathy screening algorithm.
In Proc. SPIE Medical Imaging: Computer-Aided
Diagnosis, pages 76240H--76240H. International Society for Optics and
Photonics, 2010.
[ bib |
.pdf ]
|
|
[5]
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C. Agurto, S. Murillo, V. Murray, M. Pattichis, S. Russell, M. Abramoff, and
P. Soliz.
Detection and Phenotyping of Retinal Disease using AM-FM
Processing for Feature Extraction.
In 42nd Asilomar Conference on Signals, Systems and
Computers, pages 659--663, October 2008.
[ bib |
.pdf ]
|
|
[6]
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C. Agurto, V. Murray, S. Barriga, S. Murillo, M. Pattichis, H. Davis,
S. Russell, M. Abramoff, and P. Soliz.
Multiscale AM-FM Methods for Diabetic Retinopathy Lesion
Detection.
IEEE Transactions on Medical Imaging, 29(2):502--512, February
2010.
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[7]
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C. Agurto, V. Murray, H. Yu, J. Wigdahl, M. Pattichis, S. Nemeth, S. Barriga,
and P. Soliz.
A Multiscale Optimization Approach to Detect Exudates in
the Macula.
IEEE Journal of Biomedical and Health Informatics,
18(4):1328--1336, July 2014.
[ bib |
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[8]
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C. Agurto, H. Yu, V. Murray, M. Pattichis, S. Barriga, W. Bauman, and P. Soliz.
Detection of Neovascularization in the Optic Disc using an
AM-FM Representation, Granulometry, and Vessel Segmentation.
In IEEE EMBC, pages 4946--4949, August 2012.
[ bib |
http ]
|
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[9]
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C. Agurto, H. Yu, V. Murray, M. Pattichis, S. Barriga, and P. Soliz.
Detection of Hard Exudates and Red Lesions in the Macula
using a Multiscale Approach.
In IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 13--16, April 2012.
[ bib |
.pdf ]
|
|
[10]
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C. Agurto, H. Yu, V. Murray, M. Pattichis, S. Nemeth, S. Barriga, and P. Soliz.
A Multiscale Decomposition Approach to Detect Abnormal
Vasculature in the Optic Disc.
Computer Graphics and Image Processing, 42:137--149, July 2015.
[ bib |
.pdf ]
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[11]
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Z. Antoniou, A. Panayides, M. Pantziaris, A. Constantinides, C. Pattichis, and
Pattichis M.
Dynamic Network Adaptation For Real-Time Medical Video
Communication.
In XIV Mediterranean Conference on Medical and
Biological Engineering and Computing, pages 1099--1104, Paphos,
Cyprus, 2016. Springer.
[ bib |
http ]
|
|
[12]
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Z. Antoniou, A. Panayides, and M.S. Pattichis.
Adaptive Emergency Scenery Video Communications using HEVC
for Responsive Decision Support in Disaster Incidents.
In 37th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society (EMBC), pages
173--176, 2015.
[ bib |
.pdf ]
|
|
[13]
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Zinonas C Antoniou, Andreas S Panayides, Marios Pantziaris, Anthony G
Constantinides, Constantinos S Pattichis, and Marios S Pattichis.
Real-Time Adaptation to Time-Varying Constraints for
Medical Video Communications.
IEEE journal of biomedical and health informatics, 2017.
[ bib |
.pdf ]
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[14]
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M. Arbabshirani, M. Pattichis, A. Ulloa, and V. Calhoun.
Detecting Volumetric Changes in fMRI Connectivity Networks
in Schizophrenia Patients.
In 36th IEEE EMBC, pages 726--729, August 2014.
[ bib |
http ]
|
|
[15]
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S. Barriga, V. Murray, C. Agurto, M. Pattichis, W. Bauman, G. Zamora, and
P. Soliz.
Automatic system for diabetic retinopathy screening based on
AM-FM, partial least squares, and support vector machines.
In IEEE International Symposium on Biomedical
Imaging, pages 1349--1352, April 2010.
[ bib |
.pdf ]
|
|
[16]
|
S. Barriga, V. Murray, C. Agurto, M. Pattichis, S. Russell, M. Abramoff,
H. Davis, and P. Soliz.
Multi-scale AM-FM for lesion phenotyping on age-related macular
degeneration.
In 22nd IEEE Symposium on Computer-Based Medical
Systems, pages 1--5, August 2009.
[ bib |
.pdf ]
|
|
[17]
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S. Barriga, M. Pattichis, M. Abramoff, D. Ts'o, R. Kardon, Y. Kwon, and
P. Soliz.
Spatiotemporal Independent Component Analysis for Retinal
Images.
In 40th Asilomar Conference on Signals, Systems and
Computers, pages 1961--1965, October 2006.
[ bib |
.pdf ]
|
|
[18]
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S. Barriga, M. Pattichis, M. Abramoff, D. Ts'o, R. Kardon, Y. Kwon, and
P. Soliz.
Spatiotemporal Independent Component Analysis for the
Detection of Functional Responses in Cat Retinal Images.
IEEE Transactions on Medical Imaging, 26(8):1035--1045, August
2007.
[ bib |
.pdf ]
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[19]
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S. Barriga, M. Pattichis, M. Abramoff, D. Ts'o, Y. Kwon, R. Kardon, and
P. Soliz.
Independent component analysis for the detection of in-vivo intrinsic
signals from an optical imager of retinal function.
In Poc. of Photonics West, pages 64261K--64261K.
International Society for Optics and Photonics, 2007.
[ bib |
.pdf ]
|
|
[20]
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S. Barriga, M. Pattichis, D. Ts'o, M. Abramoff, Randy Kardon, Young Kwon, and
P. Soliz.
Independent Component Analysis using Prior Information for
Signal Detection in a Functional Imaging System of the Retina.
Medical image analysis, 15(1):35--44, 2011.
[ bib |
.pdf ]
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[21]
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S. Barriga, P. Truitt, M. Pattichis, D. Ts'o, Y. Kwon, R. Kardon, and P. Soliz.
Blind Source Separation in Retinal Videos.
In Proc. of the SPIE Medical Imaging Conference, volume
5032, pages 1591--1601, 2003.
[ bib |
.pdf ]
|
|
[22]
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S. Barriga, D. Ts'o, M. Pattichis, Y. Kwon, R. Kardon, M. Abramoff, and
P. Soliz.
Detection of low-amplitude in vivo intrinsic signals from an optical
imager of retinal function.
In Proc. SPIE Photonics, volume 6138, pages
61380F--61380F--12, 2006.
[ bib |
.pdf ]
|
|
[23]
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S. Barriga, D. Ts'o, M. Pattichis, and P. Soliz.
Independent component analysis for processing of retinal responses to
patterned stimuli.
In Proc. of the 25th International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 1, pages
1006--1009 Vol.1, September 2003.
[ bib |
.pdf ]
|
|
[24]
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T. Cacoullos and M. Pattichis.
Classification Under a Multivariate Bernoulli: An
Application to Pneumoconiosis.
In Proc. of the Panhellenic Conference on Statistics,
pages 419--426, 2005.
[ bib |
.pdf ]
|
|
[25]
|
T. Cacoullos and M. Pattichis.
Pneumoconiosis Revisited: Classifier Viewed Via ROC
Curves and Logic Functions.
In Proc. of the Panhellenic Conference on Statistics,
2006.
[ bib ]
|
|
[26]
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C. Carranza, D. Llamocca, and M. Pattichis.
A Scalable Architecture for Implementing the Fast Discrete
Periodic Radon Transform for Prime Sized Images.
In IEEE International Conference on Image Processing,
pages 1208--1212, October 2014.
[ bib |
.pdf ]
|
|
[27]
|
C. Carranza, D. Llamocca, and M. Pattichis.
Fast and Scalable Computation of the Forward and Inverse
Discrete Periodic Radon Transform.
IEEE Transactions on Image Processing, 25(1):119--133, January
2016.
[ bib |
.pdf ]
|
|
[28]
|
C. Carranza, D. Llamocca, and M.S. Pattichis.
The Fast Discrete Periodic Radon Transform for prime sized
images: Algorithm, architecture, and VLSI/FPGA implementation.
In IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 169--172, April 2014.
[ bib |
http ]
|
|
[29]
|
C. Carranza, V. Murray, M. Pattichis, and S. Barriga.
Multiscale AM-FM Decompositions with GPU Acceleration for
Diabetic Retinopathy Screening.
In IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 121--124, April 2012.
[ bib |
http ]
|
|
[30]
|
Cesar Carranza, Daniel Llamocca, and Marios Pattichis.
Fast 2D Convolutions and Cross-Correlations Using
Scalable Architectures.
IEEE Transactions on Image Processing, 26(5):2230--2245, 2017.
[ bib |
.pdf ]
|
|
[31]
|
Cesar Carranza, Daniel Llamocca, and Marios Pattichis.
Fast and scalable 2d convolutions and cross-correlations for
processing image databases and videos on cpus.
In 2020 IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 70--73. IEEE, 2020.
[ bib |
http ]
|
|
[32]
|
Cesar Carranza, Daniel Llamocca, and Marios S. Pattichis.
Fast and Scalable 2D Convolutions and Cross-correlations for
Processing Image Databases and Videos on CPUs, April 2024.
[ bib |
http ]
|
|
[33]
|
Cesar Carranza, Marios Pattichis, and Daniel Llamocca.
Fast and Parallel Computation of the Discrete Periodic
Radon Transform on GPUs, Multicore CPUs and FPGAs.
In 2018 25th IEEE International Conference on Image
Processing (ICIP), pages 4158--4162. IEEE, 2018.
[ bib |
http ]
|
|
[34]
|
S. Celedón-Pattichis, C. LópezLeiva, M. Pattichis, and D. Llamocca.
An Interdisciplinary Collaboration between Computer
Engineering and Mathematics/Bilingual Education to develop a
Curriculum for Underrepresented Middle School Students.
Cultural Studies of Science Education, 8(4):873--887, 2013.
[ bib |
.pdf ]
|
|
[35]
|
C. Christodoulou, P. Kaplanis, V. Murray, M. Pattichis, and C. Pattichis.
Classification of surface electromyographic signals using AM-FM
features.
In 9th International Conference on Information
Technology and Applications in Biomedicine, pages 1--4, November 2009.
[ bib |
http ]
|
|
[36]
|
C. Christodoulou, P. Kaplanis, V. Murray, M. Pattichis, and C. Pattichis.
Comparison of AM-FM Features with Standard Features for the
Classification of Surface Electromyographic Signals.
In XII Mediterranean Conference on Medical and
Biological Engineering and Computing, pages 69--72. Springer, 2010.
[ bib |
http ]
|
|
[37]
|
C. Christodoulou, P. Kaplanis, V. Murray, M. Pattichis, C. Pattichis, and
T. Kyriakides.
Multi-scale AM–FM analysis for the Classification of
Surface Electromyographic Signals.
Biomedical Signal Processing and Control, 7(3):265 -- 269,
2012.
[ bib |
.pdf ]
|
|
[38]
|
C. Christodoulou, E. Kyriacou, M. Pattichis, and C. Pattichis.
Plaque Feature Extraction.
In A. Nicolaides, K. Beach, E. Kyriacou, and C. S. Pattichis,
editors, Ultrasound and Carotid Bifurcation Atherosclerosis,
pages 223--246. Spinger, 2012.
Section: 14.
[ bib ]
|
|
[39]
|
C. Christodoulou, E. Kyriacou, M. Pattichis, C. Pattichis, and A. Nicolaides.
A Comparative Study of Morphological and other Texture
Features for the Characterization of Atherosclerotic Carotid
Plaques.
In N. Petkov, M. Westenberg, Springer Verlag, and Groningen,
editors, Computer Analysis of Images and Patterns, Lecture
Notes in Computer Science (LNCS2756), pages 503--511. 10th
International Conference, CAIP 2003, The Netherlands, 2003.
[ bib |
.pdf ]
|
|
[40]
|
C. Christodoulou, C. Loizou, C. Pattichis, M. Pantziaris, E. Kyriacou,
M. Pattichis, C. Schizas, and A. Nicolaides.
De-speckle Filtering in Ultrasound Imaging of the Carotid
Artery.
In IEEE 24th International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 2, pages
1027--1028 vol.2, 2002.
[ bib |
.pdf ]
|
|
[41]
|
C. Christodoulou, C. Pattichis, E. Kyriacou, M. Pattichis, M. Pantziaris, and
A. Nicolaides.
Ultrasound Imaging in the Assessment of Carotid Plaque
Morphology.
In L. Costaridou, editor, Medical Image Analysis Methods,
pages 87--135. CRC Press, 2005.
[ bib ]
|
|
[42]
|
C. Christodoulou, C. Pattichis, V. Murray, M. Pattichis, and A. Nicolaides.
AM-FM representations for the characterization of carotid plaque
ultrasound images.
In Proc. 4th European Conference of the International
Federation for Medical and Biological Engineering, pages 546--549.
Springer, 2009.
[ bib |
.pdf ]
|
|
[43]
|
I. Constantinou, M. Neofytou, V. Tanos, M. Pattichis, C. Christodoulou, and
C. Pattichis.
A comparison of color correction algorithms for endoscopic cameras.
In 13th IEEE International Conference on Bioinformatics
and Bioengineering, pages 1--4, November 2013.
[ bib |
.pdf ]
|
|
[44]
|
I. Constantinou, M. Pattichis, and C. Pattichis.
Multiscale AM-FM Image Reconstructions based on Elastic
Net Regression and Gabor Filterbanks.
In Asilomar Conference on Signals, Systems and
Computers, pages 1985--1989, November 2013.
[ bib |
http ]
|
|
[45]
|
I. Constantinou, M. Pattichis, V. Tanos, M. Neofytou, and C. Pattichis.
An Adaptive Multiscale AM-FM Texture Analysis System
with Application to Hysteroscopy Imaging.
In IEEE 12th International Conference on Bioinformatics
Bioengineering (BIBE), pages 744--747, November 2012.
[ bib |
.pdf ]
|
|
[46]
|
I. Constantinou, M. Pattichis, C. Tziakouri, C. Pattichis, and S. Petroudi.
Multiscale AM-FM Models and Instantaneous Amplitude
Evaluation for Mammographic Density Classification.
In Medical Image Understanding and Analysis (MIUA),
2014.
[ bib |
http ]
|
|
[47]
|
K. P. Constantinou, I. Constantinou, C. S. Pattichis, and M. Pattichis.
Medical Image Analysis Using AM-FM Models and Methods.
IEEE Reviews in Biomedical Engineering, pages 270--286, 2020.
[ bib |
DOI |
http ]
|
|
[48]
|
Kyriacos P Constantinou, Ioannis P Constantinou, Efthyvoulos Kyriacou,
Christos P Loizou, Constantinos S Pattichis, Andreas Panayides, and Marios S
Pattichis.
Stroke Risk Assessment Through Sparse AM-FM
Decompositions of Carotid Plaque Ultrasound Images.
In 2024 IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 29--32. IEEE, 2024.
[ bib |
http ]
|
|
[49]
|
Kyriacos P Constantinou, Ioannis P Constantinou, Christos P Loizou, Efthyvoulos
Kyriacou, Andreas Panayides, Andrew N Nicolaides, Constantinos S Pattichis,
and Marios S Pattichis.
Atherosclerotic Carotid Plaque AM-FM Texture Feature
Variability in Ultrasound Video.
In 2024 IEEE International Symposium on Biomedical
Imaging (ISBI), pages 1--4. IEEE, 2024.
[ bib |
http ]
|
|
[50]
|
Kyriacos P Constantinou, Ioannis P Constantinou, Marios S Pattichis,
Efthyvoulos Kyriacou, and Constantinos S Pattichis.
Carotid plaque stroke risk assessment using multiscale AM-FM
analysis based on DoG filterbanks.
In 2023 24th International Conference on Digital Signal
Processing (DSP), pages 1--4. IEEE, 2023.
[ bib |
.pdf ]
|
|
[51]
|
Cody W Eilar, Venkatesh Jatla, Marios S Pattichis, Carlos LópezLeiva, and
Sylvia Celedón-Pattichis.
Distributed video analysis for the advancing out of school learning
in mathematics and engineering project.
In 50th Asilomar Conference on Signals, Systems and
Computers, pages 571--575. IEEE, 2016.
[ bib |
http ]
|
|
[52]
|
G. Esakki, V. Jatla, and M. Pattichis.
Optimal HEVC Encoding Based on GOP Configurations.
In IEEE Southwest Symposium on Image Analysis and
Interpretation, Santa Fe, New Mexico, 2016.
[ bib |
.pdf ]
|
|
[53]
|
Gangadharan Esakki, Venkatesh Jatla, and Marios S Pattichis.
Adaptive High Efficiency Video Coding Based on Camera
Activity Classification.
In DCC, page 438, 2017.
[ bib |
http ]
|
|
[54]
|
Gangadharan Esakki, Andreas Panayides, Sravani Teeparthi, and Marios Pattichis.
A comparative performance evaluation of VP9, x265, SVT-AV1,
VVC codecs leveraging the VMAF perceptual quality metric.
In Applications of Digital Image Processing XLIII,
volume 11510, pages 181--191. SPIE, 2020.
[ bib |
.pdf ]
|
|
[55]
|
Gangadharan Esakki, Andreas S Panayides, Venkatesh Jalta, and Marios S
Pattichis.
Adaptive video encoding for different video codecs.
IEEE Access, 9:68720--68736, 2021.
[ bib |
http ]
|
|
[56]
|
Antonio Gomez, Marios S Pattichis, and Sylvia Celedón-Pattichis.
Speaker diarization and identification from single channel classroom
audio recordings using virtual microphones.
IEEE Access, 10:56256--56266, 2022.
[ bib |
http ]
|
|
[57]
|
J. Havlicek, M. Pattichis, D. Harding, A. Christofides, and A. Bovik.
AM-FM image analysis techniques.
In Proc. of the IEEE Southwest Symposium on Image
Analysis and Interpretation, pages 195--200, April 1996.
[ bib |
.pdf ]
|
|
[58]
|
Victor Manuel Murray Herrera, Marios S. Pattichis, and P. A.
Rodriguez-Valderrama.
System and methods for parallel motion estimation in digital videos,
March 2021.
[ bib |
http ]
|
|
[59]
|
Victor Manuel Murray Herrera, Marios S. Pattichis, Peter Soliz, Carla
Paola Agurto Rios, and Herbert T. Davis III.
System and Methods of Amplitude-Modulation
Frequency-Modulation (AM-FM) Demodulation for Image and Video
Processing, August 2013.
[ bib |
http ]
|
|
[60]
|
J. Hoffman and M. Pattichis.
A High-Speed Dynamic Partial Reconfiguration Controller
using Direct Memory Access through a Multiport Memory Controller
and Overclocking with Active Feedback.
International Journal of Reconfigurable Computing, 2011, 2011.
[ bib |
.pdf ]
|
|
[61]
|
Abigail Ruth Jacoby, Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Context-sensitive human activity classification in collaborative
learning environments.
In 2018 IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 1--4. IEEE, 2018.
[ bib |
.pdf ]
|
|
[62]
|
A. Jakomulska and K. Clarke.
Variogram-Derived Measures of Textural Image
Classification.
In Pascal Monestiez, Denis Allard, and Roland Froidevaux, editors,
geoENV III — Geostatistics for Environmental
Applications, volume 11 of Quantitative Geology and
Geostatistics, pages 345--355. Springer Netherlands, 2001.
[ bib |
http ]
|
|
[63]
|
Sebastian Janampa and Marios Pattichis.
SOFI: Multi-Scale Deformable Transformer for Camera
Calibration with Enhanced Line Queries.
arXiv preprint arXiv:2409.15553, 2024.
[ bib |
http ]
|
|
[64]
|
Sebastian Janampa and Marios Pattichis.
SOFI: Multi-Scale Deformable Transformer for Camera
Calibration with Enhanced Line Queries.
In 35th British Machine Vision Conference 2024, BMVC
2024, Glasgow, UK, November 25-28, 2024. BMVA, 2024.
[ bib |
.pdf ]
|
|
[65]
|
V. Jatla, M. S. Pattichis, and C. N. Arge.
Image Processing Methods for Coronal Hole Segmentation,
Matching, and Map Classification.
IEEE Transactions on Image Processing, 29:1641--1653, 2020.
[ bib |
DOI |
http ]
|
|
[66]
|
Venkatesh Jatla, Sravani Teeparthi, Marios S Pattichis, Sylvia
Celedón-Pattichis, and Carlos LópezLeiva.
Long-term human video activity quantification of student
participation.
In 2021 55th Asilomar Conference on Signals, Systems,
and Computers, pages 1132--1135. IEEE, 2021.
[ bib |
.pdf ]
|
|
[67]
|
O. Jeromin, V. Calhoun, and M. Pattichis.
Optimal Sampling Geometries for TV-Norm Reconstruction of
fMRI Data.
In 42nd Asilomar Conference on Signals, Systems and
Computers, pages 1397--1401, October 2008.
[ bib |
.pdf ]
|
|
[68]
|
O. Jeromin and M. Pattichis.
Reconstruction of Aerial Image from Fourier Spectral
Samples Using Statistical Models.
In Proc. 43rd Asilomar Conference on Signals, Systems
and Computers, pages 1397--1401, 2009.
[ bib |
.pdf ]
|
|
[69]
|
O. Jeromin and M. Pattichis.
Multiscale sampling geometries and methods for deterministic and
stochastic reconstructions of magnitude and phase spectra of satellite
imagery.
IEEE Transactions on Geoscience and Remote Sensing,
50(10):3678--3692, 2012.
[ bib |
.pdf ]
|
|
[70]
|
O. Jeromin, M. Pattichis, and V. Calhoun.
Optimal Compressed Sensing Reconstructions of fMRI using 2D
Deterministic and Stochastic Sampling Geometries.
Biomedical engineering online, 11(1):25, 2012.
[ bib |
.pdf ]
|
|
[71]
|
Y. Jiang, G. Esakki, and M. Pattichis.
Dynamically reconfigurable architecture system for time-varying image
constraints (DRASTIC) for HEVC intra encoding.
In Asilomar Conference on Signals, Systems and
Computers, pages 1112--116, November 2013.
[ bib |
.pdf ]
Keywords: DRASTIC
|
|
[72]
|
Y. Jiang, D. Llamocca, M. Pattichis, and G. Esakki.
A unified and pipelined hardware architecture for implementing intra
prediction in HEVC.
In IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 29--32, April 2014.
[ bib |
http ]
|
|
[73]
|
Y. Jiang and M. Pattichis.
JPEG Image Compression using Quantization Table
Optimization based on Perceptual Image Quality Assessment.
In Proc. 45th Asilomar Conference on Signals, Systems
and Computers, pages 225--229, November 2011.
[ bib |
.pdf ]
|
|
[74]
|
Y. Jiang and M. Pattichis.
A Dynamically Reconfigurable DCT Architecture for Maximum
Image Quality Subject to Dynamic Power and Bitrate Constraints.
In IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 189--192, April 2012.
[ bib |
.pdf ]
|
|
[75]
|
Y. Jiang and M. Pattichis.
Dynamically Reconfigurable DCT Architectures based on
Bitrate, Power, and Image Quality Considerations.
In 19th IEEE International Conference on Image
Processing (ICIP), pages 2465--2468, September 2012.
[ bib |
.pdf ]
|
|
[76]
|
Y. Jiang and M. Pattichis.
A dynamically reconfigurable deblocking filter for H.264/AVC
codec.
In Asilomar Conference on Signals, Systems and
Computers, pages 2189--2193, November 2012.
[ bib |
http ]
Keywords: DRASTIC
|
|
[77]
|
Y. Jiang and M. Pattichis.
A Dynamically Reconfigurable Architecture System for
Time-Varying Image Constraints (DRASTIC) for Motion JPEG.
Journal of Real-Time Image Processing, pages 1--17, 2014.
[ bib |
.pdf ]
|
|
[78]
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Y. Jiang, T. Perez, M. Pattichis, and B. Khan.
A Configurable System for Role-Specific Video Imaging
during Laparoscopic Surgery.
In IEEE 12th International Conference on Bioinformatics
Bioengineering (BIBE), pages 738--743, November 2012.
[ bib |
.pdf ]
|
|
[79]
|
Y. Jiang, C. Zong, and M.S. Pattichis.
Scalable HEVC intra frame complexity control subject to quality and
bitrate constraints.
In 3rd IEEE Global Conference on Signal and
Information Processing, pages 290--294, 2015.
[ bib |
.pdf ]
|
|
[80]
|
Yuebing Jiang and Marios S Pattichis.
A dynamically reconfigurable architecture system for time-varying
image constraints (drastic) for motion jpeg.
Journal of Real-Time Image Processing, 14(2):395--411, 2018.
[ bib |
.pdf ]
|
|
[81]
|
Robert B Kent and Marios S Pattichis.
Design, implementation, and analysis of high-speed single-stage
N-sorters and N-filters.
IEEE Access, 9:2576--2591, 2020.
[ bib |
http ]
|
|
[82]
|
Robert B Kent and Marios S Pattichis.
Use of carry chain logic and design system extensions to construct
significantly faster and larger single-stage N-sorters and N-filters.
IEEE Access, 10:79689--79702, 2022.
[ bib |
http ]
|
|
[83]
|
Robert B Kent and Marios S Pattichis.
Beyond 0-1: The 1-N Principle and Fast Validation of
N-Sorter Sorting Networks.
IEEE Access, 2023.
[ bib |
http ]
|
|
[84]
|
Robert Bernard Kent and Marios S. Pattichis.
Single-Stage Hardware Sorting Blocks and Associated
Multiway Merge Sorting Networks (2022), June 2022.
[ bib |
http ]
|
|
[85]
|
Robert Bernard Kent and Marios S. Pattichis.
Single-Stage Hardware Sorting Blocks and Associated
Multiway Merge Sorting Networks (2022), June 2022.
[ bib |
http ]
|
|
[86]
|
Robert Bernard Kent and Marios S. Pattichis.
Single-Stage Hardware Sorting Blocks and Associated
Multiway Merge Sorting Networks (2024), July 2023.
[ bib |
http ]
|
|
[87]
|
Robert Bernard Kent and Marios S. Pattichis.
System and methods for Constructing Single-Stage N-Sorters
and N-Filters, September 2024.
[ bib |
http ]
|
|
[88]
|
J. Kern and M. Pattichis.
Robust Multispectral Image Registration using
Mutual-Information Models.
IEEE Transactions on Geoscience and Remote Sensing,
45(5):1494--1505, May 2007.
[ bib |
.pdf ]
|
|
[89]
|
J. Kern, M. Pattichis, and S. Stearns.
Registration of image cubes using multivariate mutual information.
In Proc. 37th Asilomar Conference on Signals, Systems
and Computers, volume 2, pages 1645--1649 Vol.2, November 2003.
[ bib |
.pdf ]
|
|
[90]
|
J. Kief, M. Pattichis, H. Pollard, A. Vera, and E. Parra.
An XUP–UNM Educational Platform: A Dual-FPGA
Platform for Reconfigurable Logic.
Computer Applications in Engineering Education, 17(2):232--239,
2009.
[ bib |
.pdf ]
|
|
[91]
|
E. Kyriacou, C. Christodoulou, C. Loizou, M. Pattichis, C. Pattichis,
S. Kakkos, and A. Nicolaides.
Assessment of Stroke by Analyzing Carotid Plaque
Morphology.
In T. P. Exarchos, A. Papadopoulos, and D. I. Fotiadis, editors,
Handbook of Research on Advanced Techniques in Diagnostic Imaging
and Biomedical Applications, page 21. IGI Global, PA, USA, 2009.
Section: 11.
[ bib ]
|
|
[92]
|
E. Kyriacou, C. Christodoulou, M. Pattichis, C. Pattichis, and S. Kakkos.
Plaque Classification.
In A. Nicolaides, K. Beach, E. Kyriacou, and C. S. Pattichis,
editors, Ultrasound and Carotid Bifurcation Atherosclerosis,
pages 247--262. Spinger, 2012.
Section: 15.
[ bib ]
|
|
[93]
|
E. Kyriacou, A. Constantinides, C. Pattichis, M. Pattichis, and A. Panayides.
eEmergency Health Care Information Systems.
In 33rd Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, IEEE EMBC, pages
2501--2504, August 2011.
[ bib |
.pdf ]
|
|
[94]
|
E. Kyriacou, A. Constantinides, C. Pattichis, M. Pattichis, and A. Panayides.
eEmergency Healthcare Informatics.
In J. D. Bronzino and D. R. Peterson, editors, Biomedical
Signals, Imaging, and Informatics. CRC Press, 4th edition, 2015.
Section: 64.
[ bib ]
|
|
[95]
|
E. Kyriacou, A. Kounoudes, L. Paraskeva, A. Constantinides, C. Pattichis,
A. Jossif, M. Pattichis, and D. Vogiatzis.
Continuous Monitoring of Children with Suspected Cardiac
Arrhythmias.
In Dasun Weerasinghe, editor, Proc. of eHealth, volume 0001
of Lecture Notes of the Institute for Computer Sciences,
Social Informatics and Telecommunications Engineering, pages 1--8.
Springer Berlin Heidelberg, 2009.
[ bib |
http ]
|
|
[96]
|
E. Kyriacou, A. Nicolaides, C. Pattichis, S. Petroudi, M. Pattichis,
M. Griffin, S. Kakkos, and G. Makris.
First and Second Order Statistical Texture Features in
Carotid Plaque Image Analysis: Preliminary Results from Ongoing
Research.
In 33rd Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, IEEE EMBC, pages
6655--6658, August 2011.
[ bib |
.pdf ]
|
|
[97]
|
E. Kyriacou, C. Pattichis, M. Karaolis, C. Loizou, C. Christodoulou,
M. Pattichis, S. Kakkos, and A. Nicolaides.
An Integrated System for Assessing Stroke Risk.
IEE Engineering in Medicine and Biology Magazine, 26(5):43--50,
September 2007.
[ bib |
.pdf ]
|
|
[98]
|
E. Kyriacou, C. Pattichis, and M. Pattichis.
An overview of recent health care support systems for eEmergency
and mHealth applications.
In 34th IEEE Annual International Conference of the
Engineering in Medicine and Biology Society, pages 1246--1249,
September 2009.
[ bib |
.pdf ]
|
|
[99]
|
E. Kyriacou, C. Pattichis, M. Pattichis, A. Jossif, L. Paraskeva,
A. Constantinides, and D. Vogiatzis.
An m-Health Monitoring System for Children with Suspected
Arrhythmias.
In Engineering in Medicine and Biology Society, 2007.
EMBS 2007. 29th Annual International Conference of the IEEE, pages
1794--1797, August 2007.
[ bib |
.pdf ]
|
|
[100]
|
E. Kyriacou, C. Pattichis, M. Pattichis, A. Jossif, D. Vogiatzis, L. Paraskeva,
A. Constantinides, and A. Kounoudes.
An M-Health System for Continuous Monitoring of Children
with Suspected Cardiac Arrhythmias.
In Proc. 4th European Conference of the International
Federation for Medical and Biological Engineering, pages 1325--1328.
Springer, 2009.
[ bib |
http ]
|
|
[101]
|
E. Kyriacou, C. Pattichis, M. Pattichis, C. Loizou, C. Christodoulou,
K. Kakkos, and A. Nicolaides.
A Review of Noninvasive Ultrasound Image Processing
Methods in the Analysis of Carotid Plaque Morphology for the
Assessment of Stroke Risk.
IEEE Transactions on Information Technology in Biomedicine,
14(4):1027--1038, July 2010.
[ bib |
.pdf ]
|
|
[102]
|
E. Kyriacou, C. Pattichis, M. Pattichis, A. Mavrommatis, S. Panagiotou,
C. Christodoulou, Kakkos S, and A. Nicolaides.
Classification of Atherosclerotic Carotid Plaques Using
Gray Level Morphological Analysis on Ultrasound images.
In Ilias Maglogiannis, Kostas Karpouzis, and Max Bramer, editors,
Proc. of the 3rd IFIP Conference on Artificial Intelligence
Applications and Innovations, volume 204 of IFIP International
Federation for Information Processing, pages 737--744. Springer US,
2006.
[ bib |
.pdf ]
|
|
[103]
|
E. Kyriacou, M. Pattichis, K. Anastasis, C. Pattichis, L. Paraskeva, A. Jossif,
D. Hoplaros, and D. Vogiatzis.
A wireless system for monitoring of children with suspected cardiac
arrhythmias.
In Proc. of the 2nd International Conference on PErvasive
Technologies Related to Assistive Environments, page 52. ACM, 2009.
[ bib |
.pdf ]
|
|
[104]
|
E. Kyriacou, M. Pattichis, C. Christodoulou, C. Pattichis, S. Kakkos,
M. Griffin, and A. Nicolaides.
Ultrasound imaging in the analysis of carotid plaque morphology for
the assessment of stroke.
In J. S. Suri, C. Yuan, D. L. Wilson, and S. Laxminarayan, editors,
Plaque Imaging: Pixel To Molecular, pages 241--275. IOS Press,
2005.
[ bib ]
|
|
[105]
|
E. Kyriacou, M. Pattichis, C. Christodoulou, C. Pattichis, Kakkos S, and
A. Nicolaides.
Multiscale Morphological Analysis of the Atherosclerotic
Carotid Plaque.
In 27th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, pages 1626--1629,
January 2005.
[ bib |
.pdf ]
|
|
[106]
|
E. Kyriacou, M. Pattichis, C. Pattichis, A. Mavrommatis, C. Christodoulou,
S. Kakkos, and A. Nicolaides.
Classification of Atherosclerotic Carotid Plaques using
Morphological Analysis on Ultrasound Images.
Applied Intelligence, 30(1):3--23, 2009.
[ bib |
.pdf ]
|
|
[107]
|
E. Kyriacou, M. Pattichis, C. Pattichis, A. Panayides, and A. Pitsillides.
m-Health e-Emergency Systems: Current Status and Future
Directions.
IEEE Antennas and Propagation Magazine, 49(1):216--231,
February 2007.
[ bib |
.pdf ]
|
|
[108]
|
E. Kyriacou, S. Petroudi, C. Pattichis, M. Pattichis, M. Griffin, S. Kakkos,
and A. Nicolaides.
Prediction of High-Risk Asymptomatic Carotid Plaques
Based on Ultrasonic Image Features.
IEEE Transactions on Information Technology in Biomedicine,
16(5):966--973, September 2012.
[ bib |
.pdf ]
|
|
[109]
|
E. Kyriacou, P. Vogazianos, C. Christodoulou, C. Loizou, A. Panayides,
S. Petroudi, M. Pattichis, M. Pantziaris, A. Nicolaides, and C. Pattichis.
Prediction of the time period of stroke based on ultrasound image
analysis of initially asymptomatic carotid plaques.
In Engineering in Medicine and Biology Society (EMBC),
2015 37th Annual International Conference of the IEEE, pages
334--337, August 2015.
[ bib |
http ]
|
|
[110]
|
E. Kyriacou, S. Voskarides, C. Pattichis, R. Istepanian, M. Pattichis, and
C. Schizas.
Wireless Telemedicine Systems: a brief overview.
In Proc. 4th International Workshop on Enterpise
Networking and Computing in Healthcare Industry (HEALTHCOM), 2002.
[ bib ]
|
|
[111]
|
A. Lambrou, H. Papadopoulos, E. Kyriacou, C. Pattichis, M. Pattichis,
A. Gammerman, and A. Nicolaides.
Assessment of stroke risk based on morphological ultrasound image
analysis with conformal prediction.
In Artificial Intelligence Applications and Innovations,
pages 146--153. Springer, 2010.
[ bib |
http ]
|
|
[112]
|
A. Lambrou, H. Papadopoulos, E. Kyriacou, C. Pattichis, M. Pattichis,
A. Gammerman, and A. Nicolaides.
Evaluation of the Risk of Stroke with Confidence Predictions
based on Ultrasound Carotid Image Analysis.
International Journal on Artificial Intelligence Tools, 21(04),
2012.
[ bib |
.pdf ]
|
|
[113]
|
Hakeoung Hannah Lee, Sylvia Celedón-Pattichis, Carlos LópezLeiva, Marios
Pattichis, and Yukyeong Song.
Emergent interests to well-developed interests in stem.
In Proceedings of the 18th International Conference of the
Learning Sciences-ICLS 2024, pp. 1295-1298. International Society of
the Learning Sciences, 2024.
[ bib |
.pdf ]
|
|
[114]
|
S. Lee, M. Pattichis, and A. Bovik.
Foveated image/video quality assessment in curvilinear coordinates.
In Int. Workshop on Very Low Bitrate Video Coding,
pages 189--192, 1998.
[ bib ]
|
|
[115]
|
S. Lee, M. Pattichis, and A. Bovik.
Rate control for foveated MPEG/H.263 video.
In Proc. IEEE Int. Conf. on Image Processing,
volume 2, pages 365--369 vol.2, October 1998.
[ bib |
.pdf ]
|
|
[116]
|
S. Lee, M. Pattichis, and A. Bovik.
Foveated Video Compression with Optimal Rate Control.
IEEE Transactions on Image Processing, 10(7):977--992, July
2001.
[ bib |
.pdf ]
|
|
[117]
|
S. Lee, M. Pattichis, and A. Bovik.
Foveated Video Quality Assessment.
IEEE Transactions on Multimedia, 4(1):129--132, March 2002.
[ bib |
.pdf ]
|
|
[118]
|
Georgia D Liapi, Christos P Loizou, Constantinos S Pattichis, Marios S
Pattichis, Andrew N Nicolaides, Maura Griffin, and Efthyvoulos Kyriacou.
Assessing the impact of ultrasound image standardization in deep
learning-based segmentation of carotid plaque types.
Computer Methods and Programs in Biomedicine, 257:108460, 2024.
[ bib |
http ]
|
|
[119]
|
D. Llamocca, C. Carranza, and M. Pattichis.
Separable FIR Filtering in FPGA and GPU Implementations:
Energy, Performance, and Accuracy Considerations.
In 21st Conference on Field Programmable Logic and
Applications (FPL), pages 363--368, September 2011.
[ bib |
.pdf ]
|
|
[120]
|
D. Llamocca, C. Carranza, and M. Pattichis.
Dynamic Multiobjective Optimization Management of the
Energy-Performance-Accuracy Space for Separable 2-D Complex
Filters.
In 22nd IEEE International Conference on Field
Programmable Logic and Applications (FPL), pages 579--582, August
2012.
[ bib |
http ]
|
|
[121]
|
D. Llamocca, V. Murray, Y. Jiang, M. Pattichis, J. Lyke, and K. Avery.
A Scalable Open-Source Architecture for Real-Time
Monitoring of Adaptive Wiring Panels.
Journal of Aerospace Information Systems, 11(6):344--358, 2014.
[ bib |
.pdf ]
|
|
[122]
|
D. Llamocca and M. Pattichis.
Real-time dynamically reconfigurable 2-D filterbanks.
In IEEE Southwest Symposium on Image Analysis
Interpretation, pages 181--184, May 2010.
[ bib |
.pdf ]
|
|
[123]
|
D. Llamocca and M. Pattichis.
A Dynamically Reconfigurable Pixel Processor System Based
on Power/Energy-Performance-Accuracy Optimization.
IEEE Transactions on Circuits and Systems for Video Technology,
23(3):488--502, March 2013.
[ bib |
.pdf ]
|
|
[124]
|
D. Llamocca and M. Pattichis.
Dynamic Energy, Performance, and Accuracy Optimization and
Management Using Automatically Generated Constraints for
Separable 2D FIR Filtering for Digital Video Processing.
ACM Trans. Reconfigurable Technol. Syst., 7(4):31:1--31:30,
December 2014.
[ bib |
.pdf ]
|
|
[125]
|
D. Llamocca and M. Pattichis.
A Self-Reconfigurable Platform for the Implementation of 2D
Filterbanks with Real and Complex-valued Inputs, Outputs, and
Filter Coefficients.
VLSI Design, 2014:5, 2014.
[ bib |
.pdf ]
|
|
[126]
|
D. Llamocca, M. Pattichis, and C. Carranza.
A Framework for Self-Reconfigurable DCTs based on
Multiobjective Optimization of the Power-Performance-Accuracy
Space.
In 7th International Workshop on Reconfigurable
Communication-centric Systems-on-Chip (ReCoSoC), pages 1--6, July
2012.
[ bib |
http ]
|
|
[127]
|
D. Llamocca, M. Pattichis, and A. Vera.
Partial Reconfigurable FIR Filtering System Using
Distributed Arithmetic.
International Journal of Reconfigurable Computing, 2010, 2010.
[ bib |
.pdf ]
|
|
[128]
|
D. Llamocca, M. Pattichis, and G. Vera.
A dynamic computing platform for image and video processing
applications.
In 42nd Asilomar Conference on Signals, Systems and
Computers., pages 412--416, November 2009.
[ bib |
.pdf ]
|
|
[129]
|
D. Llamocca, M. Pattichis, and G. Vera.
A dynamically reconfigurable parallel pixel processing system.
In 19th IEEE International Conference on Field
Programmable Logic, pages 462--466, August 2009.
[ bib |
.pdf ]
|
|
[130]
|
D. Llamocca, M. Pattichis, and G. Vera.
A Dynamically Reconfigurable Platform for Fixed-Point FIR
Filters.
In International Conference on Reconfigurable Computing
and FPGAs, pages 332--337, December 2009.
[ bib |
.pdf ]
|
|
[131]
|
D. Llamocca, M. Pattichis, G. Vera, and J. Lyke.
Dynamic Partial Reconfiguration through Ethernet Link.
In AIAA Infotech@ Aerospace 2010. 2010.
[ bib |
http ]
|
|
[132]
|
Daniel Llamocca and Brian K Dean.
A scalable pipelined architecture for biomimetic vision sensors.
In 25th International Conference on Field Programmable
Logic and Applications (FPL), pages 1--6. IEEE, 2015.
[ bib |
.pdf ]
|
|
[133]
|
C. Loizou, M. Morega, E Kyriacou, S. Pasca, S Petroudi, P. Bamidis,
M. Pattichis, and C. Pattichis.
Guest Editorial to Special Issue on Biomedical Monitoring
Technologies.
International Journal of Monitoring and Surveillance
Technologies Research (IJMSTR), 2013.
[ bib |
.pdf ]
|
|
[134]
|
C. Loizou, V. Murray, M. Pattichis, M. Pantziaris, A. Nicolaides, and
C. Pattichis.
AM-FM Texture Image Analysis and Retrieval of the
Intima and Media Layers of the Carotid Artery.
In 19th International Conference on Artificial Neural
Networks, 2009.
[ bib |
.pdf ]
|
|
[135]
|
C. Loizou, V. Murray, M. Pattichis, M. Pantziaris, A. Nicolaides, and
C. Pattichis.
Despeckle Filtering for Multiscale Amplitude-Modulation
Frequency-Modulation (AM-FM) Texture Analysis of Ultrasound
Images of the Intima-Media Complex.
International journal of biomedical imaging, 2014, 2014.
[ bib |
.pdf ]
|
|
[136]
|
C. Loizou, V. Murray, M. Pattichis, M. Pantziaris, and C. Pattichis.
AM-FM texture image analysis in brain white matter lesions in the
progression of Multiple Sclerosis.
In Proc. IEEE Southwest Symposium on Image Analysis
Interpretation, pages 61--64, May 2010.
[ bib |
http ]
|
|
[137]
|
C. Loizou, V. Murray, M. Pattichis, M. Pantziaris, and C. Pattichis.
Multiscale Amplitude-Modulation Frequency-Modulation
(AM-FM) Analysis of Ultrasound Images of the Intima and Media
Layers of the Carotid Artery.
IEEE Transactions on Information Technology in Biomedicine,
15(2):178--188, March 2011.
[ bib |
.pdf ]
|
|
[138]
|
C. Loizou, V. Murray, M. Pattichis, M. Pantziaris, I. Seimenis, and
C. Pattichis.
AM-FM texture image analysis in multiple sclerosis brain white
matter lesions.
In Proc. of IFMBE, pages 446--449. Springer, 2010.
[ bib |
http ]
|
|
[139]
|
C. Loizou, V. Murray, M. Pattichis, I. Seimenis, M. Pantziaris, and
C. Pattichis.
Multiscale Amplitude-Modulation Frequency-Modulation
(AM-FM) Texture Analysis of Multiple Sclerosis in Brain MRI
Images.
IEEE Transactions on Information Technology in Biomedicine,
15(1):119--129, January 2011.
[ bib |
.pdf ]
|
|
[140]
|
C. Loizou, M. Pantziaris, A. Nicolaides, A. Spanias, M. Pattichis, and
C. Pattichis.
Ultrasound Imaging Media Layer Texture Analysis of the
Carotid Artery.
In 8th IEEE International Conference on BioInformatics
and BioEngineering, pages 1--6, October 2008.
[ bib |
.pdf ]
|
|
[141]
|
C. Loizou, M. Pantziaris, M. Pattichis, E Kyriacou, and C. Pattichis.
Ultrasound Image Texture Analysis of the Intima and Media
Layers of the Common Carotid Artery and its Correlation with Age
and Gender.
Computerized Medical Imaging and Graphics, 33(4):317--324,
2009.
[ bib |
.pdf ]
|
|
[142]
|
Christos P Loizou, Kevin Fotso, Antria Nicolaou, Marios Pantzaris, Marios S
Pattichis, and Constantinos S Pattichis.
Multiple sclerosis disease evolution assessment in brain MRI
lesions based on texture and multi-scale amplitude modulation-frequency
modulation (AM-FM) features.
IEEE Access, 11:29918--29933, 2023.
[ bib |
http ]
|
|
[143]
|
C. LopezLeiva, S. Celedon-Pattichis, and M. Pattichis.
Participation in the Advancing Out-of-School Learning in
Mathematics and Engineering (AOLME) project: Supporting middle school
Latinas’ bilingual and STEM identities.
In Women of color in STEM: Navigating the waters of public
schools. Information Age Publishing.
[ bib ]
|
|
[144]
|
C. LopezLeiva, S. Celedon-Pattichis, and M. Pattichis.
Participation in the Advancing Out-of-School Learning in
Mathematics and Engineering (AOLME) project: Supporting middle school
Latinas' bilingual and STEM identities.
In B. Polnick, B. Irby, and J. Ballenger, editors, Girls and
women of color in STEM: Navigating the double blind in K-12 education.
Information Age Publishing Inc., Charlotte, NC, 2016.
[ bib ]
|
|
[145]
|
C. LopezLeiva, S. Celedon-Pattichis, M. Pattichis, and J. Morales Flores.
Teaching and learning binary numbers: Underrepresented students
accessing high-quality STEM practices.
In Access and equity: Promoting high-quality mathematics in
grades 6-8. Reston, pages 89--103. National Council of Teachers of
Mathematics., 2017.
[ bib ]
|
|
[146]
|
C. LopezLeiva, M. Pattichis, J. Morales Flores, and S. Celedon-Pattichis.
Modelling and Programming of Digital Video: A source for the
Integration of Mathematics, Engineering, and Technology.
In Monograph of Topic Study Group 22 of the 13th
International Congress of Mathematics Education (ICME). Hamburg,
Germany.
[ bib ]
|
|
[147]
|
C. LopezLevia, S. Celedon-Pattichis, and M. Pattichis.
Integrating mathematics, engineering and technology through
mathematics modeling and video representations.
In 13th International Congress on Mathematical
Education, Hamburg, Germany, 2016.
[ bib ]
|
|
[148]
|
C LópezLeiva, S Celedón-Pattichis, I Demir, J. A Lecea Yanguas, and M. S.
& Pattichis.
Attitude scale results of student confidence over time:
Participation in an integrated mathematics/computer programming curriculum.
In Proceedings of the International Colloquium on
Languages, Cultures, Identity in School and Society, Soria, Spain,
2018.
[ bib |
http ]
|
|
[149]
|
Carlos A LópezLeiva, Gabino Noriega, Sylvia Celedón-Pattichis, and Marios S
Pattichis.
From students to cofacilitators: Latinx students’ experiences in
mathematics and computer programming.
Teachers College Record, 124(5):146--165, 2022.
[ bib |
http ]
|
|
[150]
|
G. Martin and M. Pattichis.
The Characterization of Scanning Noise and Quantization on
Texture Feature Analysis.
In Proc. 6th IEEE Southwest Symposium on Image
Analysis and Interpretation, pages 152--156, March 2004.
[ bib |
.pdf ]
|
|
[151]
|
U. Meyer-Baese, A. Vera, A. Meyer-Baese, M. Pattichis, and J. Perry.
An Undergraduate Course and Laboratory in Digital Signal
Processing with Field Programmable Gate Arrays.
IEEE Transactions on Education, 53(4):638--645, November 2010.
[ bib |
.pdf ]
|
|
[152]
|
U. Meyer-Baese, G. Vera, A. Meyer-Baese, M. Pattichis, and R. Perry.
Discrete Wavelet Transform FPGA Design using
MatLab/Simulink.
In Proc. SPIE Independent Component Analysis,
Wavelets, Unsupervised Smart Sensors, and Neural Networks,
volume 6247, pages 624703--624703--10, 2006.
[ bib |
.pdf ]
|
|
[153]
|
U. Meyer-Baese, G. Vera, A. Meyer-Baese, M. Pattichis, and R. Perry.
Smart Altera Firmware for DSP with FPGAs.
In Proc. SPIE Defense & Security Symposium, volume
6576, pages 65760T--65760T--11, 2007.
[ bib |
http ]
|
|
[154]
|
U. Meyer-Baese, G. Vera, A. Meyer-Baese, M. Pattichis, and R. Perry.
DSP with FPGAs: a Xilinx/Simulink-based course and
laboratory.
In Proc. SPIE, volume 6979, pages 697907--697907--12, 2008.
[ bib |
http ]
|
|
[155]
|
U. Meyer-Baese, G. Vera, S. Rao, K. Lenk, and M. Pattichis.
FPGA Wavelet Processor Design using Language for
Instruction-set Architectures (LISA).
In Proc. SPIE Defense & Security Symposium, volume
6576, pages 65760U--65760U--12, 2007.
[ bib |
http ]
|
|
[156]
|
S. Murillo, V. Murray, C. Loizou, C. Pattichis, M. Pattichis, and S. Barriga.
Motion and deformation analysis of ultrasound videos with
applications to classification of carotid artery plaques.
In SPIE Medical Imaging, 2012.
[ bib ]
|
|
[157]
|
S. Murillo and M. Pattichis.
Motion Estimation of Carotid Artery Plaques.
In A. Nicolaides, K. Beach, E. Kyriacou, and C. S. Pattichis,
editors, Ultrasound and Carotid Bifurcation Atherosclerosis,
pages 355--378. Spinger, 2012.
Section: 21.
[ bib ]
|
|
[158]
|
S. Murillo, M. Pattichis, and S. Barriga.
A review of Motion Estimation Methods for Non-Invasive
Ultrasound Motion and Emerging Strain Imaging Methods of
Carotid Artery Plaques.
International Journal of Experimental and Computational
Biomechanics, 1(4):359--380, 2011.
[ bib |
http ]
|
|
[159]
|
S. Murillo, M. Pattichis, C. Loizou, E. Kyriacou, A. Constantinides, and
A. Nicolaides.
Atherosclerotic Plaque Motion Analysis from Ultrasound
Videos.
In 40th Asilomar Conference on Signals, Systems and
Computers, pages 836--840, October 2006.
[ bib |
.pdf ]
|
|
[160]
|
S. Murillo, M. Pattichis, C. Loizou, C. Pattichis, E. Kyriacou,
A. Constantinides, and A. Nicolaides.
Atherosclerotic Plaque Motion Trajectory Analysis from
Ultrasound Videos.
In CD-ROM Proc. of the 5th International IEEE EMBS
Special Topic Conference on Information Technology in
Biomedicine, pages 1--5, 2006.
[ bib |
.pdf ]
|
|
[161]
|
S. Murillo, M. Pattichis, P. Soliz, S. Barriga, C. Loizou, and C. Pattichis.
Global optimization for motion estimation with applications to
ultrasound videos of carotid artery plaques.
In Proc. SPIE Medical Imaging: Computer-Aided
Diagnosis, pages 76290X--76290X. International Society for Optics and
Photonics, 2010.
[ bib |
.pdf ]
|
|
[162]
|
V. Murray, C. Agurto, S. Barriga, M. Pattichis, and P. Soliz.
Real-time Diabetic Retinopathy Patient Screening using
Multiscale AM-FM Methods.
In 19th IEEE International Conference on Image
Processing (ICIP), pages 525--528, September 2012.
[ bib |
http ]
|
|
[163]
|
V. Murray, S. Barriga, P. Soliz, and M. Pattichis.
Survey of AM-FM methods for Applications on Medical
Imaging.
In Ibero-American Conference on Trends in Engineering
Education and Collaboration, 2009.
[ bib |
.pdf ]
|
|
[164]
|
V. Murray, G. Feucht, J. Lyke, M. Pattichis, and J. Plusquellic.
Cell-based architecture for reconfigurable wiring manifolds.
In AIAA Infotech@ Aerospace Conference, 2010.
[ bib |
.pdf ]
|
|
[165]
|
V. Murray, D. Llamocca, J. Lyke, K. Avery, Y. Jiang, and M. Pattichis.
Cell-Based Architecture for Adaptive Wiring Panels: A
First Prototype.
Cell, 10(4), 2013.
[ bib |
http ]
|
|
[166]
|
V. Murray, S. Murillo, M. Pattichis, C. Loizou, C. Pattichis, E. Kyriacou, and
A. Nicolaides.
An AM-FM model for Motion Estimation in Atherosclerotic
Plaque Videos.
In 41st Asilomar Conference on Signals, Systems and
Computers, pages 746--750, November 2007.
[ bib |
.pdf ]
|
|
[167]
|
V. Murray and M. Pattichis.
AM-FM Demodulation Methods for Reconstruction, Analysis
and Motion Estimation in Video signals.
In IEEE Southwest Symposium on Image Analysis and
Motion Estimation in Video signals, pages 17--20, March 2008.
[ bib |
http ]
|
|
[168]
|
V. Murray, M. Pattichis, S. Barriga, and P. Soliz.
Recent multiscale AM-FM methods in emerging applications in
medical imaging.
EURASIP Journal on Advances in Signal Processing, 2012(1),
2012.
[ bib |
http ]
|
|
[169]
|
V. Murray, M. Pattichis, H. Davis, S. Barriga, and P. Soliz.
Multiscale AM-FM analysis of pneumoconiosis x-ray images.
In 16th IEEE International Conference on Image
Processing, pages 4201--4204, November 2009.
[ bib |
.pdf ]
|
|
[170]
|
V. Murray, M. Pattichis, D. Llamocca, and J. Lyke.
Field-Programmable Wiring Systems.
Proceedings of the IEEE, 103(7):1159--1180, July 2015.
[ bib |
.pdf ]
|
|
[171]
|
V. Murray, M. Pattichis, and P. Soliz.
Analysis Methods for Retinal Image Characterization.
In Proc. 42nd Asilomar Conference on Signals, Systems
and Computers, pages 664--668, 2008.
[ bib |
.pdf ]
|
|
[172]
|
V. Murray, M. Pattichis, and P. Soliz.
Retrieval and classification of pneumoconiosis chest radiograph
images using multiscale AM-FM methods.
In Proc. 43rd Asilomar Conference on Signals, Systems
and Computers, pages 12--16. IEEE, 2009.
[ bib |
.pdf ]
|
|
[173]
|
V. Murray, M. Pattichis, and P. Soliz.
Multiscale Directional AM-FM Demodulation of Images using a
2D Optimized Method.
In 18th IEEE International Conference on Image
Processing (ICIP), pages 249--252, September 2011.
[ bib |
.pdf ]
|
|
[174]
|
V. Murray, P. Rodriguez, M. Noriega, A. Dasso, and M. Pattichis.
2D amplitude-modulation frequency-modulation - based method for
motion estimation.
In Circuits Systems (LASCAS), 2015 IEEE 6th Latin
American Symposium on, pages 1--4, February 2015.
[ bib |
http ]
|
|
[175]
|
V. Murray, P. Rodriguez, and M. Pattichis.
Robust Multiscale AM-FM Demodulation of Digital Images.
In IEEE International Conference on Image Processing,
volume 1, pages I -- 465--I -- 468, September 2007.
[ bib |
.pdf ]
|
|
[176]
|
V. Murray, P. Rodriguez, and M. Pattichis.
Multi-scale AM-FM Demodulation and Image Reconstruction
Methods with Improved Accuracy.
IEEE Transactions on Image Processing, 19(5):1138--1152, May
2010.
[ bib |
.pdf ]
|
|
[177]
|
V. Murray, P. Rodriguez, and M. Pattichis.
2D instantaneous frequency-based method for motion estimation using
total variation.
In IEEE GlobalSIP, pages 1009--1013, December 2014.
[ bib |
http ]
|
|
[178]
|
H. Nasrabadi, M. Pattichis, P. Fisher, A. Nicolaides, M. Griffin, G. Makris,
E. Kyriacou, and C. Pattichis.
Measurement of Motion of Carotid Bifurcation Plaques.
In IEEE 12th International Conference on Bioinformatics
Bioengineering (BIBE), pages 506--511, November 2012.
[ bib |
.pdf ]
|
|
[179]
|
M. Neofytou, C. Loizou, V. Tanos, M. Pattichis, and C. Pattichis.
Classification and Data Mining for Hysteroscopy Imaging in
Gynaecology.
In 4th European Conference of the International
Federation for Medical and Biological Engineering, pages 918--922.
Springer, 2009.
[ bib |
http ]
|
|
[180]
|
M. Neofytou, C. Pattichis, M. Pattichis, V. Tonos, E. Kyriacou, S. Pavlopoulos,
and D. Koutsouris.
Texture Analysis of the Endometrium during Hysteroscopy:
Preliminary Results.
In Proc. IEEE 26th International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 1, pages
1483--1486, September 2004.
[ bib |
.pdf ]
|
|
[181]
|
M. Neofytou, C. Pattichis, V. Tanos, M. Pattichis, and E. Kyriacou.
Quantitative Analysis of Hysteroscopy Imaging in
Gynaecological Cancer.
In T. P. Exarchos, A. Papadopoulos, and D. I. Fotiadis, editors,
Handbook of Research on Advanced Techniques in Diagnostic Imaging
and Biomedical Applications, page 16. IGI Global, PA, USA, 2009.
Section: 16.
[ bib |
http ]
|
|
[182]
|
M. Neofytou, C. Pattichis, V. Tonos, M. Pattichis, E. Kyriacou, and
D. Koutsouris.
The Effect of Color Correction of Endoscopy Images for
Quantitative Analysis in Endometrium.
In 27th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, pages 3336--3339,
January 2005.
[ bib |
http ]
|
|
[183]
|
M. Neofytou, M. Pattichis, C. Pattichis, V. Tanos, E. Kyriacou, and
D. Koutsouris.
Texture-Based Classification of Hysteroscopy Images of the
Endometrium.
In 28th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, pages 3005--3008,
August 2006.
[ bib |
http ]
|
|
[184]
|
M. Neofytou, V. Tanos, I. Constantinou, E. Kyriacou, M. Pattichis, and
C. Pattichis.
Computer Aided Diagnosis in Hysteroscopic Imaging.
IEEE Journal of Biomedical and Health Informatics, PP(99):1--1,
2014.
[ bib |
.pdf ]
|
|
[185]
|
M. Neofytou, V. Tanos, M. Pattichis, E. Kyriacou, C. Pattichis, and C. Schizas.
Color Multiscale Texture Classification of Hysteroscopy
Images of the Endometrium.
In Proc. of 30th Annual International conference of the
IEEE engineering in Medicine and Biology Society, pages 1226--1229,
August 2008.
[ bib |
.pdf ]
|
|
[186]
|
M. Neofytou, V. Tanos, M. Pattichis, C. Pattichis, E. Kyriacou, and
S. Pavlopoulos.
Color Based Texture - Classification of Hysteroscopy Images
of the Endometrium.
In Proc. of the 29th Annual International Conference of
the IEEE Engineering In Medicine and Biology Society, pages
864--867, August 2007.
[ bib |
http ]
|
|
[187]
|
M. Neofytou, Vasilis Tanos, M. Pattichis, Efthyvoulos Pattichis, C. Kyriacou,
and Dimitris Koutsouris.
A Standardized protocol for Texture Feature Analysis of
Endoscopic Images in Gynaecological Cancer.
BioMedical Engineering OnLine, 6(1):44, 2007.
[ bib |
DOI |
.pdf ]
|
|
[188]
|
C. Nguyen, J. Havlicek, G. Fan, J. Caulfield, and M. Pattichis.
Robust dual-band MWIR/LWIR infrared target tracking.
In 48th Asilomar Conference on Signals, Systems and
Computers, pages 78--83, November 2014.
[ bib |
.pdf ]
|
|
[189]
|
Andria Nicolaou, Antonis Kakas, Constantinos S Pattichis, Marios S Pattichis,
Kevin Fotso, Christos P Loizou, and Marios Pantzaris.
An explainable artificial intelligence model in the assessment of
brain MRI lesions in multiple sclerosis using amplitude
modulation–frequency modulation multi-scale feature sets.
In 2023 24th International Conference on Digital Signal
Processing (DSP), pages 1--4. IEEE, 2023.
[ bib |
.pdf ]
|
|
[190]
|
F. Ourique, V. Licks, R. Jordan, and M. Pattichis.
Automatic segmentation of scanning electron microscopy images for
molecular aggregation profiling.
In Proc. IEEE 25th International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 1, pages
702--705 Vol.1, September 2003.
[ bib |
.pdf ]
|
|
[191]
|
A. Panayides, Z. Antoniou, V. Barberis, M. Pattichis, C. Pattichis, and
E. Kyriacou.
Abdominal Aortic Aneurysm Medical Video Transmission.
In IEEE-EMBS International Conference on Biomedical
and Health Informatics, pages 679--682, January 2012.
[ bib |
http ]
|
|
[192]
|
A. Panayides, Z. Antoniou, Y. Mylonas, M. Pattichis, A. Pitsillides, and
C. Pattichis.
High-Resolution, Low-Delay, and Error-Resilient Medical
Ultrasound Video Communication Using H.264/AVC Over Mobile
WiMAX Networks.
IEEE Journal of Biomedical and Health Informatics,
17(3):619--628, May 2013.
[ bib |
.pdf ]
|
|
[193]
|
A. Panayides, Z. Antoniou, M. Pattichis, and C. Pattichis.
The Use of H.264/AVC and the Emerging High Efficiency
Video Coding (HEVC) Standard for Developing Wireless Ultrasound
Video Telemedicine Systems.
In Asilomar Conference on Signals, Systems and Computers
(invited), pages 337--341, November 2012.
[ bib |
http ]
|
|
[194]
|
A. Panayides, Z. Antoniou, M. Pattichis, C. Pattichis, and A. Constantinides.
High Efficiency Video Coding for Ultrasound Video
Communication in M-Health Systems.
In IEEE EMBC, pages 2170--2173, August 2012.
[ bib |
.pdf ]
|
|
[195]
|
A. Panayides, A. Constantinides, M. Pattichis, E. Kyriacou, and C. Pattichis.
Adaptive real-time HEVC encoding of emergency scenery video.
In EAI 4th International Conference on Wireless Mobile
Communication and Healthcare (Mobihealth), pages 217--217, November
2014.
[ bib |
http ]
|
|
[196]
|
A. Panayides, C. Loizou, M. Pattichis, E. Kyriacou, C. Shizas, A. Nicolaides,
and C. Pattichis.
Ultrasound Video Despeckle Filtering for High Efficiency
Video Coding in M-Health systems.
In CIWSP Workshop (in honor of the 70th birthday of Prof.
Constantinides), pages 1--4, January 2013.
[ bib |
http ]
|
|
[197]
|
A. Panayides, M. Pattichis, A. Constantinides, and C. Pattichis.
M-Health Medical Video Communication Systems: An
Overview of Design Approaches and Recent Advances.
In IEEE EMBC, pages 7253--7256, July 2013.
[ bib |
http ]
|
|
[198]
|
A. Panayides, M. Pattichis, and E. Kyriacou.
Effective, Real-time Ultrasound Video Communications Over
HSPA Networks Using Despeckle Filtering.
36th IEEE EMBC, 2014.
[ bib |
.pdf ]
|
|
[199]
|
A. Panayides, M. Pattichis, C. Loizou, M. Pantziaris, A. Constantinides, and
C. Pattichis.
An Effective Ultrasound Video Communication System Using
Despeckle Filtering and HEVC.
IEEE Journal of Biomedical and Health Informatics,
19(2):668--676, March 2015.
[ bib |
.pdf ]
|
|
[200]
|
A. Panayides, M. Pattichis, and C. Pattichis.
Wireless medical ultrasound video transmission through noisy
channels.
In Proc. of 30th Annual International Conference of the
IEEE engineering in Medicine and Biology Society, pages 5326--5329,
August 2008.
[ bib |
.pdf ]
|
|
[201]
|
A. Panayides, M. Pattichis, and C. Pattichis.
HEVC encoding for Reproducible Medical Ultrasound Video
Diagnosis.
In Asilomar Conference on Signals, Systems and
Computers(invited), pages 1117--1121, November 2013.
[ bib |
.pdf ]
|
|
[202]
|
A. Panayides, M. Pattichis, and C. Pattichis.
Mobile-Health Systems Use Diagnostically Driven Medical
Video Technologies.
IEEE Signal Processing Magazine, 30(6):163--172, November 2013.
[ bib |
.pdf ]
|
|
[203]
|
A. Panayides, M. Pattichis, C. Pattichis, C. Loizou, and M. Pantziaris.
Wireless Ultrasound Video Transmission for Stroke Risk
Assessment: Quality Metrics and System Design.
In International Workshop on Video Processing and
Quality Metrics for Consumer Electronics (VPQM), 2013.
[ bib |
.pdf ]
|
|
[204]
|
A. Panayides, M. Pattichis, C. Pattichis, C. Loizou, M. Pantziaris, and
A. Pitsillides.
Robust and Efficient ultrasound video coding in noisy channels
using H.264.
In 34th IEEE Annual International Conference of the
Engineering in Medicinge and Biology Society, pages 5143--5146,
September 2009.
[ bib |
.pdf ]
|
|
[205]
|
A. Panayides, M. Pattichis, C. Pattichis, C. Loizou, M. Pantziaris, and
A. Pitsillides.
Towards Diagnostically Robust Medical Ultrasound Video
Streaming Using H.264.
In A. Alexandre Barros De Mello, editor, Biomedical
Engineering, pages 219--237. IN-TECH, Vienna, Austria, 2009.
[ bib ]
|
|
[206]
|
A. Panayides, M. Pattichis, C. Pattichis, C. Loizou, M. Pantziaris, and
A. Pitsillides.
Atherosclerotic Plaque Ultrasound Video Encoding, Wireless
Transmission, and Quality Assessment Using H.264.
IEEE Transactions on Information Technology in Biomedicine,
15(3):387--397, May 2011.
[ bib |
.pdf ]
|
|
[207]
|
A. Panayides, M. Pattichis, C. Pattichis, and A. Pitsillides.
A Review of Error Resilience Techniques in Video
Streaming.
In Proc. of ISYC, International Conference On
Intelligent Systems and Computing: Theory and Application, pages
39--48, 2006.
[ bib |
.pdf ]
|
|
[208]
|
A. Panayides, M. Pattichis, C. Pattichis, and A. Pitsillides.
A Tutorial for Emerging Wireless Medical Video
Transmission Systems.
IEEE Antennas and Propagation Magazine, 53(2):202--213, April
2011.
[ bib |
.pdf ]
|
|
[209]
|
A. Panayides, M. Pattichis, C. Pattichis, C. Schizas, A. Spanias, and
E. Kyriacou.
An overview of recent end-to-end wireless medical video telemedicine
systems using 3G.
In Proc. of 32nd Annual International Conference of the
IEEE Engineering in Medicine and Biology Society, pages
1045--1048, August 2010.
[ bib |
.pdf ]
|
|
[210]
|
A. S. Panayides, M. S. Pattichis, S. Leandrou, C. Pitris, A. Constantinidou,
and C. S. Pattichis.
Radiogenomics for Precision Medicine With a Big Data
Analytics Perspective.
IEEE Journal of Biomedical and Health Informatics,
23(5):2063--2079, September 2019.
[ bib |
DOI |
.pdf ]
|
|
[211]
|
Andreas Panayides, Marios Pattichis, Marios Pantzaris, and A. Constantinides.
The Battle of the Video Codecs in the Healthcare Domain -
A Comparative Performance Evaluation Study Leveraging VVC and
AV1.
IEEE Access, PP:1--1, January 2020.
[ bib |
DOI |
http ]
|
|
[212]
|
C. Pattichis, P. Bamidis, C. Christodoulou, E. Kyriacou, D. Mitsis,
M. Pattichis, and C. Pitris.
Guest Editorial introduction to the special issue on Biomedical
Signal Processing and Analysis selected papers from ITAB 2009.
Biomedical Signal Processing and Control, 6(3):217--218, 2011.
[ bib |
.pdf ]
|
|
[213]
|
C. Pattichis, C. Christodoulou, M. Pattichis, M. Pantziaris, and A. Nicolaides.
An integrated system for the assessment of ultrasonic imaging
atherosclerotic carotid plaques.
In Proc. IEEE Int. Conf. on Image Processing,
volume 1, pages 325--328 vol.1, 2001.
[ bib |
.pdf ]
|
|
[214]
|
C. Pattichis, E. Kyriacou, C. Christodoulou, M. Pattichis, C. Loizou,
M. Pantziaris, and A. Nicolaides.
Cardiovascular: Ultrasonic Imaging in Vascular Cases.
In Wiley M. Akay, editor, Wiley Encyclopedia of Biomedical
Engineering, page 12. 2006.
[ bib |
DOI ]
|
|
[215]
|
C. Pattichis, E. Kyriacou, M. Pattichis, A. Panayides, S. Mougiakakou,
A. Pitsillides, and C. Schizas.
A Brief Overview of m-Health e-Emergency Systems.
In Proc. of the 6th International Special Topic
Conference on Information Technology Applications in Biomedicine,
pages 53--57, November 2007.
[ bib |
.pdf ]
|
|
[216]
|
C. Pattichis, E. Kyriacou, M. Pattichis, A. Panayides, and A. Pitsillides.
A Review of m-Health e-Emergency Systems.
In CD-ROM Proc. of the 5th International IEEE EMBS
Special Topic Conference on Information Technology in
Biomedicine, 2006.
[ bib |
.pdf ]
|
|
[217]
|
C. Pattichis, E. Kyriacou, S. Voskarides, M. Pattichis, R. Istepanian, and
C. Schizas.
Wireless Telemedicine Systems: An Overview.
IEEE Antennas and Propagation Magazine, 44(2):143--153, April
2002.
[ bib |
.pdf ]
|
|
[218]
|
C. Pattichis, E. Kyriacou, S. Voskarides, M. Pattichis, R. Istepanian, and
C. Schizas.
Wireless Telemedicine Systems: An Overview.
In M.Perdikouri, P. Giovas, and D. Papadogiannis, editors,
Telemedicine in Practice, pages 149--169. En Plo Publishers, Greece, 2005.
[ bib ]
|
|
[219]
|
C. Pattichis and M. Pattichis.
Time-scale analysis of motor unit action potentials.
IEEE Transactions on Biomedical Engineering, 46(11):1320--1329,
November 1999.
[ bib |
.pdf ]
|
|
[220]
|
C. Pattichis and M. Pattichis.
Adaptive neural network imaging in medical systems.
In Proc. of the 35th Asilomar Conference on Signals,
Systems and Computers, volume 1, pages 313--317. IEEE, 2001.
[ bib |
.pdf ]
|
|
[221]
|
C. Pattichis, M. Pattichis, and E. Micheli-Tzanakou.
Medical imaging fusion applications: An overview.
In Proc. of the 35th Asilomar Conference on Signals,
Systems, and Computers, volume 2, pages 1263--1267 vol.2, November 2001.
[ bib |
.pdf ]
|
|
[222]
|
C. Pattichis, M. Pattichis, and C. Schizas.
Wavelet analysis of motor unit action potentials.
In Proc. of Engineering in Medicine and Biology
Society, volume 4, pages 1493--1495 vol.4, October 1996.
[ bib |
.pdf ]
|
|
[223]
|
C. Pattichis, C. Schizas, C. Kyriacou, Efthyvoulos, I. Fotiadis, Dimitris,
M. Pattichis, and D. Bamidis, Panagiotis.
Guest Editorial Introduction to the Special Issue on
Citizen Centered e-Health Systems in a Global Healthcare
Environment: Selected Papers From ITAB 2009.
IEEE Transactions on Information Technology in Biomedicine,
15(1):3--10, 2011.
[ bib |
.pdf ]
|
|
[224]
|
C. Pattichis, C. Schizas, M. Pattichis, E. Micheli-Tzanakou, E. Kyriacou, and
D. Fotiadis.
Guest Editorial: Introduction to the Special Section on
Computational Intellegence in Medical Systems.
IEEE Transacitons on Information Technology in Biomedicine,
13(5), September 2009.
[ bib |
.pdf ]
|
|
[225]
|
C. Pattichis, F. Schnorrenberg, C. Schizas, M. Pattichis, and K. Kyriacou.
A Modular Neural Network System for the Analysis of
Nuclei in Histopathological Sections.
In L. C. Jain, editor, Computational Intelligence Processing
in Medical Diagnosis, pages 291--322. Physica-Verlag, 2002.
[ bib ]
|
|
[226]
|
C. Pattichis, F. Schnorrenberg, N. Tsapatsoulis, C. Schizas, M. Pattichis, and
E. Kyriacou.
A Biopsy Analysis Support System for the Detection and
Classification of Breast Cancer Nuclei.
In J. Suri, R. M. Rangayan, and S. Laxminarayan, editors,
Emerging Technology in Breast Imaging and Mammography, pages
441--462. American Scientific Publishers, CA, USA, 2008.
[ bib ]
|
|
[227]
|
M. Pattichis.
Least Squares FIR filter design using frequency domain piecewise
polynomial approximations.
In 10th European Signal Processing Conference, pages
1--4, September 2000.
[ bib |
.pdf ]
|
|
[228]
|
M. Pattichis.
Novel algorithms for the accurate, efficient, and parallel
computation of multidimensional, regional discrete Fourier transforms.
In 10th Mediterranean Electrotechnical
Conference(MELECON), volume 2, pages 530--533 vol.2, 2000.
[ bib |
.pdf ]
|
|
[229]
|
M. Pattichis.
Future Challenges and Recommendations.
In R. H. Istepanian, S. Laxminarayan, and C. S. Pattichis, editors,
M-Health: Emerging Mobile Health Systems, pages 365--370.
2006.
[ bib ]
|
|
[230]
|
M. Pattichis.
Section Overview.
In R. H. Istepanian, S. Laxminarayan, and C. S. Pattichis, editors,
M-Health: Emerging Mobile Health Systems, pages 273--276.
2006.
[ bib ]
|
|
[231]
|
M. Pattichis.
Multidimensional AM-FM models and methods for biomedical image
computing.
In 34th IEEE Annual International Conference of the
Engineering in Medicine and Biology Society, pages 5641--5644,
September 2009.
[ bib |
.pdf ]
|
|
[232]
|
M. Pattichis and F. Bostick.
Fast Wavelet Transform Applications in Electromagnetics.
In Proc. of the Int. Conf. on Digital Singal
processing, 1993.
[ bib ]
|
|
[233]
|
M. Pattichis and A. Bovik.
Multi-Dimensional frequency modulation in texture images.
In International Conference on Digital Signal
Processing, pages 753--758, 1995.
[ bib ]
|
|
[234]
|
M. Pattichis and A. Bovik.
A nonlinear fluid model for describing frequency modulation of image
orientations.
In Proc. IEEE Workshop on Non-Linear Signal and
Image Proc, pages 198--201, 1995.
[ bib ]
|
|
[235]
|
M. Pattichis and A. Bovik.
AM-FM expansions for images.
In Proc. European Signal Processing Conf., pages
10--13, 1996.
[ bib |
.pdf ]
|
|
[236]
|
M. Pattichis and A. Bovik.
A Fluid Model for Texture Images.
In Proc. Workshop on Image and Multidimensional Signal
Processing, 1996.
[ bib ]
|
|
[237]
|
M. Pattichis and A. Bovik.
Latent Fingerprint Analysis using an AM-FM Model.
In Automatic Fingerprint Recognition Systems, pages
317--338. Springer Verlag, 2003.
[ bib ]
|
|
[238]
|
M. Pattichis and A. Bovik.
Analyzing Image Structure by Multidimensional Frequency
Modulation.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
29(5):753--766, May 2007.
[ bib |
.pdf ]
|
|
[239]
|
M. Pattichis, A. Bovik, J. Havlicek, and N. Sidiropoulos.
On the representation of wideband images using permutations for
lossless coding.
In Proc. of 4th IEEE Southwest Symposium Image
Analysis and Interpretation, pages 237--241, 2000.
[ bib |
.pdf ]
|
|
[240]
|
M. Pattichis, A. Bovik, J. Havlicek, and N. Sidiropoulos.
Multidimensional Orthogonal FM Transforms.
IEEE Transactions on Image Processing, 10(3):448--464, March
2001.
[ bib |
.pdf ]
|
|
[241]
|
M. Pattichis, T. Cacoullos, and P. Soliz.
Spatial image variability analysis.
In 45th IEEE Midwest Symposium on Circuits and
Systems, volume 1, pages I--224--7 vol.1, August 2002.
[ bib |
.pdf ]
|
|
[242]
|
M. Pattichis, T. Cacoullos, and P. Soliz.
New Models for Region of Interest Reader Classification
Analysis in Chest Radiographs.
Pattern Recognition, Special Issue of Digital Image Processing
and Pattern Recoginition Techniques for the Detection of Cancer,
42(6):1058--1066, 2009.
[ bib |
.pdf ]
|
|
[243]
|
M. Pattichis, S. Cai, C. Pattichis, and R. Abdallah.
An Overview of Digital Video Compression for Mobile
Health Systems.
In R. H. Istepanian, S. Laxminarayan, and C. S. Pattichis, editors,
M-Health: Emerging Mobile Health Systems, pages 345--364.
Springer, 2006.
[ bib ]
|
|
[244]
|
M. Pattichis, C. Christodoulou, C. Pattichis, and A. Bovik.
Non-stationary Texture Classification Using an AM-FM model.
In Proceeding sof International Conference on Neural
Networks, volume 3, pages 1552--1557 vol.3, June 1997.
[ bib |
http ]
|
|
[245]
|
M. Pattichis, J. Havlicek, S. Acton, and A. Bovik.
Multidimensional AM-FM models with image processing applications.
In Advances in Image Processing and Understanding: A
Festschrift for Thomas S Huang, pages 277--306. World Scientific
Publishing, Singapore, 2002.
[ bib ]
|
|
[246]
|
M. Pattichis, V. Jatla, R. Hock, C. Henney, and C. Arge.
Detecting coronal holes for solar activity modeling.
In 48th Asilomar Conference on Signals, Systems and
Computers, pages 89--93, November 2014.
[ bib |
.pdf ]
|
|
[247]
|
M. Pattichis, H. Muralldharan, C. Pattichis, and P. Soliz.
New Image processing models for opacity image analysis in chest
radiographs.
In 5th IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 260--264, 2002.
[ bib |
.pdf ]
|
|
[248]
|
M. Pattichis and V. Murray.
AM-FM analysis over spatially bounded domains for applications in
medical imaging.
In 9th International Conference on Information
Technology and Applications in Biomedicine, pages 1--4, November 2009.
[ bib |
.pdf ]
|
|
[249]
|
M. Pattichis, G. Panayi, A. Bovik, and Shun-Pin Hsu.
Fingerprint Classification Using an AM-FM Model.
IEEE Transactions on Image Processing, 10(6):951--954, June
2001.
[ bib |
.pdf ]
|
|
[250]
|
M. Pattichis and C. Pattichis.
Fast wavelet transform in motor unit action potential analysis.
In Proc. Int. Conf. of the IEEE Engineering in
Medicine and Biology Society, pages 1225--1226, 1993.
[ bib |
.pdf ]
|
|
[251]
|
M. Pattichis, C. Pattichis, M. Avraam, A. Bovik, and K. Kyriacou.
AM-FM Texture Segmentation in Electron Microscopic
Muscle Imaging.
IEEE Transactions on Medical Imaging, 19(12):1253--1258,
December 2000.
[ bib |
.pdf ]
|
|
[252]
|
M. Pattichis, C. Pattichis, C. Christodoulou, D. James, L. Ketai, and P. Soliz.
A Screening system for the assessment of opacity profusion in chest
radiographs of miners with pneumoconiosis.
In 5th IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 130--133, 2002.
[ bib |
.pdf ]
|
|
[253]
|
M. Pattichis, H. Petropoulos, and W. Brooks.
MRI brain image segmentation using an AM-FM model.
In 34th Asilomar Conference on Signals, Systems and
Computers, volume 2, pages 906--910 vol.2, October 2000.
[ bib |
.pdf ]
|
|
[254]
|
M. Pattichis, H. Pollard, J. Parra, A. Vera, C. Kief, and D. Bouldin.
Educational Uses of FPGAs, invited article describing UNM's
lab.
IEEE Circuits and Devices Magazine, October 2004.
[ bib ]
|
|
[255]
|
M. Pattichis, J. Ramachandran, M. Wilson, C. Pattichis, and P. Soliz.
Optimal scanning, display, and segmentation of the International
Labor Organization (ILO) X-ray images set for pneumoconiosis.
In Proceedings of the 14th IEEE Symposium on
Computer-Based Medical Systems, pages 511--515, 2001.
[ bib |
.pdf ]
|
|
[256]
|
M. Pattichis, P. Soliz, C. Pattichis, D. James, , and L Ketai.
Computer assisted morphological analysis of opacities on the
International Labor Organization standard radiographs for the
pneumoconioses.
American Journal of Respiratory and Critical Care Medicine,
2002.
[ bib ]
|
|
[257]
|
M. Pattichis, R. Zhou, and B. Raman.
New algorithms for computing directional discrete Fourier
transforms.
In Proc. IEEE Int. Conf. on Image Processing,
volume 3, pages 322--325 vol.3, 2001.
[ bib |
.pdf ]
|
|
[258]
|
Marios Pattichis, Hakeoung Hannah Lee, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Teaching Computer Programming with Mathematics for Generating
Digital Videos and Machine Learning Optimization.
In International Conference on Computer Analysis of
Images and Patterns, pages 195--204. Springer, 2023.
[ bib |
http ]
|
|
[259]
|
Marios S Pattichis, Scott T Acton, Constantinos S Pattichis, and Andreas S
Panayides.
Guest Editorial Large-Scale Medical Image and Video
Analytics for Clinical Decision Support.
IEEE Journal of Biomedical and Health Informatics, 27(1):4--6,
2023.
[ bib |
http ]
|
|
[260]
|
Marios S. Pattichis, Cesar Carranza, and Daniel Llamocca.
System And Methods For Computing Forward and Inverse
Discrete Periodic Radon Transform, August 2018.
[ bib |
http ]
|
|
[261]
|
Marios S. Pattichis, Cesar Carranza, and Daniel Llamocca.
System and Methods for Computing 2-D Convolutions and
Cross-correlations, October 2020.
[ bib |
http ]
|
|
[262]
|
Marios S. Pattichis, Cesar Carranza, and Daniel Llamocca.
System and Methods for the Computation of the Forward and
Inverse Discrete Periodic Radon Transform on CPUs and GPUs,
March 2021.
[ bib |
http ]
|
|
[263]
|
Marios S. Pattichis, Cesar Carranza, and Daniel Llamocca.
System and Methods for Computing 2-D Convolutions and
Cross-correlations, February 2023.
[ bib |
http ]
|
|
[264]
|
Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos LópezLeiva.
Teaching image and video processing using middle-school mathematics
and the Raspberry Pi.
In 2017 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), pages 6349--6353. IEEE, 2017.
[ bib |
.pdf ]
|
|
[265]
|
Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos LópezLeiva.
Digital Video Representations for Teaching Mathematics and
Coding to Middle School Students.
In 2023 24th International Conference on Digital Signal
Processing (DSP), pages 1--4. IEEE, 2023.
[ bib |
.pdf ]
|
|
[266]
|
Marios S Pattichis, Venkatesh Jatla, and Alvaro E ulloa Cerna.
A Review of Machine Learning Methods Applied to Video
Analysis Systems.
In 2023 57th Asilomar Conference on Signals, Systems,
and Computers, pages 1161--1165. IEEE, 2023.
[ bib |
http ]
|
|
[267]
|
Marios S. Pattichis, Yuebing Jiang, Gangadharan Esakki, and Andreas Panayides.
System and Methods for Joint and Adaptive Control of Rate,
Quality, and Computational Complexity for Video Coding and
Delivery, July 2021.
[ bib |
http ]
|
|
[268]
|
Marios S. Pattichis, Yuebing Jiang, and Daniel Llamocca.
System and Methods for Dynamic Management of Hardware
Resources, August 2015.
[ bib |
http ]
|
|
[269]
|
Marios S. Pattichis, Yuebing Jiang, and Daniel Llamocca.
System and Methods for Dynamic Management of Hardware
Resources, January 2017.
[ bib |
http ]
|
|
[270]
|
Marios S Pattichis, Hakeoung Hannah Lee, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Teaching Computer Programming Using Mathematics: Examples
from Middle-School and Graduate School.
SN Computer Science, 5(8):1006, 2024.
[ bib |
http ]
|
|
[271]
|
Rebecca Pattichis and Marios S Pattichis.
Understanding Neural Network Systems for Image Analysis
Using Vector Spaces.
In 2024 IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 73--76. IEEE, 2024.
[ bib |
http ]
|
|
[272]
|
Rebecca Pattichis and Marios S Pattichis.
Understanding Neural Network Systems for Image Analysis
using Vector Spaces and Inverse Maps.
arXiv preprint arXiv:2402.00261, 2024.
[ bib |
http ]
|
|
[273]
|
R. Paul and M. Pattichis.
Nested Random Phase Sequence Sets: A Link between
AM-FM Demodulation and Increasing Operators with Application to
Cardiac Image Analysis.
In Proc. IEEE Southwest Symposium on Image Analysis
and Interpretation, pages 196--200, March 2004.
[ bib |
.pdf ]
|
|
[274]
|
Timothy Perez, Marios S. Pattichis, and Yuebing Jiang.
System and methods for video image processing, September 2016.
[ bib |
http ]
|
|
[275]
|
S. Petroudi, I. Constantinou, M. Pattichis, C. Tziakouri, K. Marias, and
C. Pattichis.
6th European Conference of the International Federation for
Medical and Biological Engineering: MBEC 2014, 7-11 September 2014,
Dubrovnik, Croatia.
pages 156--159. Springer International Publishing, Cham, 2015.
[ bib |
http ]
|
|
[276]
|
S. Petroudi, I. Constantinou, M. Pattichis, C. Tziakouri, K. Marias, and
C. Pattichis.
Evaluation of Spatial Dependence Matrices on Multiscale
Instantaneous Amplitude for Mammogram Classification.
In I. Lacković and D. Vasic, editors, 6th European
Conference of the International Federation for Medical and
Biological Engineering, volume 45 of IFMBE Proceedings, pages
156--159. Springer International Publishing, 2015.
[ bib |
http ]
|
|
[277]
|
S. Petroudi, I. Constantinou, C. Tziakouri, M. Pattichis, and C. Pattichis.
Investigation of AM-FM Methods for Mammographic Breast
Density Classification.
In 13th IEEE International Conference on Bioinformatics
and Bioengineering, pages 1--4, November 2013.
[ bib |
.pdf ]
|
|
[278]
|
S. Petroudi, C. Loizou, M. Pantziaris, M. Pattichis, and C. Pattichis.
A Fully Automated Method using Active Contours for the
Evaluation of the Intima-Media Thickness in Carotid US Images.
In 33rd Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, IEEE EMBC, pages
8053--8057, August 2011.
[ bib |
.pdf ]
|
|
[279]
|
C. Pizano, G. Heileman, C. Abdallah, and M. Pattichis.
Are perfect image watermarking schemes possible?
In 10th IEEE Mediterranean Electrotechnical
Conference(MELECON), volume 2, pages 669--672 vol.2, 2000.
[ bib |
.pdf ]
|
|
[280]
|
J. Ramachandran, M. Pattichis, L. Scuderi, and J. Baba.
Tree Image Growth Analysis Using Instantaneous Phase
Modulation.
EURASIP Journal on Advances in Signal Processing, 2011, 2011.
[ bib |
.pdf ]
|
|
[281]
|
J. Ramachandran, M. Pattichis, and P. Soliz.
Pre-classification of chest radiographs for improved active shape
model segmentation of ribs.
In 5th IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 188--192, 2002.
[ bib |
.pdf ]
|
|
[282]
|
J. Ramachandran, M. Pattichis, P. Soliz, and M. Wilson.
A hierarchical segmentation model for the lung and the inter-costal
parenchymal regions of chest radiographs.
In 45th IEEE Midwest Symposium on Circuits and
Systems, volume 1, pages I--439--42 vol.1, August 2002.
[ bib |
.pdf ]
|
|
[283]
|
K. Ramamurthy, A. Spanias, L. Hinnov, C. Akujuobi, M. Stiber, M. Pattichis,
E. Doering, C. Pattichis, H. Thornburg, A. Papandreou-Suppappola, A. Spanias,
R. Ayyanar, E. Campana, and S. Haag.
Work in progress - collaborative multidisciplinary J-DSP software
project.
In 39th ASEE/IEEE Frontiers in Education Conference,
pages 1--2, October 2009.
[ bib |
.pdf ]
|
|
[284]
|
N. Ray, J. Havlicek, S. Acton, and M. Pattichis.
Active contour segmentation guided by AM-FM dominant component
analysis.
In Proc. IEEE Int. Conf. on Image Processing,
volume 1, pages 78--81 vol.1, 2001.
[ bib |
.pdf ]
|
|
[285]
|
P. Rodriguez, V. Murray, and M. Pattichis.
A regularized optimization approach for AM-FM reconstructions.
In Proc. Asilomar Conference on Signals, Systems and
Computers, pages 219--221, November 2010.
[ bib |
.pdf ]
|
|
[286]
|
P. Rodriguez and M. Pattichis.
Adaptive Sampling and Processing of Ultrasound Images.
In Proc. of the 35th Asilomar Conference on Signals,
Systems and Computers, volume 1, pages 323--327 vol.1, November 2001.
[ bib |
.pdf ]
|
|
[287]
|
P. Rodriguez and M. Pattichis.
Real-time AM-FM analysis of ultrasound video.
In 45th IEEE Midwest Symposium on Circuits and
Systems, volume 1, pages 216--219. IEEE, 2002.
[ bib |
.pdf ]
|
|
[288]
|
P. Rodriguez and M. Pattichis.
New Algorithms for fast and accurate AM-FM Demodulation of
Digital Images.
In IEEE International Conference on Image Processing,
volume 2, pages II--1294--7, September 2005.
[ bib |
.pdf ]
|
|
[289]
|
P. Rodriguez, M. Pattichis, and M. Goens.
M-mode echocardiography image and video segmentation based on am-fm
demodulation techniques.
In Proc. of the 25th International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 2, pages
1176--1179 Vol.2, September 2003.
[ bib |
.pdf ]
|
|
[290]
|
P. Rodriguez, M. Pattichis, M. Goens, and R. Abdallah.
Object-based Ultrasound Video Processing for Wireless
Transmission in Cardiology.
In R. H. Istepanian, S. Laxminarayan, and C. S. Pattichis, editors,
M-Health: Emerging Mobile Health Systems, pages 491--508.
2006.
[ bib ]
|
|
[291]
|
P. Rodriguez, M. Pattichis, and R. Jordan.
Computational SIMD framework: split-radix SIMD-FFT algorithm,
derivation, implementation and performance.
In Proceedings of 14th International Conference on DSP,
volume 2, pages 861--864 vol.2, 2002.
[ bib |
.pdf ]
|
|
[292]
|
Paul Rodriguez, Ramiro Jordan, Marios Pattichis, and M. Goens.
Fast AM-FM Demodulation Image and Video Analysis using
Single Instruction Multiple Data (SIMD) Architectures.
In Proc. IASTED International Conference on Signal
Processing, Pattern Recognition and Applications, SPRA., pages
230--233, 2003.
[ bib |
.pdf ]
|
|
[293]
|
Paul Rodriguez-Valderrama, Marios S. Pattichis, and Victor Manuel
Murray-Herrera.
System and Methods of Regularized Optimization For Matrix
Factorization And Image and Video Reconstruction, December 2014.
[ bib |
http ]
|
|
[294]
|
Luis Sanchez Tapia, Antonio Gomez, Mario Esparza, Venkatesh Jatla, Marios
Pattichis, Sylvia Celedón-Pattichis, and Carlos LópezLeiva.
Bilingual speech recognition by estimating speaker geometry from
video data.
In International Conference on Computer Analysis of
Images and Patterns, pages 79--89. Springer, 2021.
[ bib |
http ]
|
|
[295]
|
F. Saqib, A. Dutta, J. Plusquellic, P. Ortiz, and M. Pattichis.
Pipelined Decision Tree Classification Accelerator
Implementation in FPGA (DT-CAIF).
IEEE Transactions on Computers, 64(1):280--285, January 2015.
[ bib |
.pdf ]
|
|
[296]
|
Wenjing Shi, Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Dynamic Group Interactions in Collaborative Learning
Videos.
In 2018 52nd Asilomar Conference on Signals, Systems,
and Computers, pages 1528--1531. IEEE, 2018.
[ bib |
http ]
|
|
[297]
|
Wenjing Shi, Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Robust head detection in collaborative learning environments using
am-fm representation s.
In 2018 IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 1--4. IEEE, 2018.
[ bib |
.pdf ]
|
|
[298]
|
Wenjing Shi, Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Person detection in collaborative group learning environments using
multiple representations.
In 2021 55th Asilomar Conference on Signals, Systems,
and Computers, pages 1109--1112. IEEE, 2021.
[ bib |
http ]
|
|
[299]
|
Wenjing Shi, Marios S Pattichis, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Talking detection in collaborative learning environments.
In International Conference on Computer Analysis of
Images and Patterns, pages 242--251. Springer, 2021.
[ bib |
http ]
|
|
[300]
|
Wenjing Shi, Phuong Tran, Sylvia Celedón-Pattichis, and Marios S Pattichis.
Long-term Human Participation Assessment In Collaborative
Learning Environments Using Dynamic Scene Analysis.
IEEE Access, 2024.
[ bib |
http ]
|
|
[301]
|
N. Sidiropoulos, M. Pattichis, A. Bovik, and J. Havlicek.
COPERM: Transform-Domain Energy Compaction by Optimal
Permutation.
IEEE Transactions on Signal Processing, 47(6):1679--1688, June
1999.
[ bib |
.pdf ]
|
|
[302]
|
Rogers F Silva, Sergey M Plis, Tülay Adalı, Marios S Pattichis, and Vince D
Calhoun.
Multidataset independent subspace analysis with application to
multimodal fusion.
IEEE Transactions on Image Processing, 30:588--602, 2020.
[ bib |
.pdf ]
|
|
[303]
|
P. Soliz, H. Davis, V. Murray, M. Pattichis, S. Barriga, and S. Russell.
Toward automatic phenotyping of retinal images from genetically
determined mono-and dizygotic twins using amplitude modulation-frequency
modulation methods.
In SPIE Medical Imaging, pages 76243F--76243F.
International Society for Optics and Photonics, 2010.
[ bib |
.pdf ]
|
|
[304]
|
P. Soliz, C. Pattichis, M. Pattichis, D. James, , and L. Ketai.
Texture analysis of opacity profusion in chest radiographs of miners
with pneumoconiosis.
American Journal of Respiratory & Critical Care Medicine,
2002.
[ bib ]
|
|
[305]
|
P. Soliz, M. Pattichis, J. Ramachandran, and D. James.
Computer-assisted diagnosis of chest radiographs for pneumoconioses.
In Proceedings of the SPIE Medical Imaging Conference,
pages 667--675. International Society for Optics and Photonics, 2001.
[ bib |
http ]
|
|
[306]
|
P. Soliz, S. Russell, M. Abramoff, S. Murillo, M. Pattichis, and H. Davis.
Independent Component Analysis for Vision-inspired
Classification of Retinal Images with Age-related Macular
Degeneration.
In IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 65--68, March 2008.
[ bib |
.pdf ]
|
|
[307]
|
Jaclynn J Stubbs, Marios S Pattichis, and Gabriel C Birch.
Interactive image and video classification using compressively sensed
images.
In 2017 51st Asilomar Conference on Signals, Systems,
and Computers, pages 2038--2041. IEEE, 2017.
[ bib |
http ]
|
|
[308]
|
Luis Sanchez Tapia, Marios S Pattichis, Sylvia Celedón-Pattichis, and
Carlos López Leiva.
The importance of the instantaneous phase for face detection using
simple convolutional neural networks.
In 2020 IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI), pages 1--4. IEEE, 2020.
[ bib |
http ]
|
|
[309]
|
Sravani Teeparthi, Venkatesh Jatla, Marios S Pattichis, Sylvia
Celedón-Pattichis, and Carlos LópezLeiva.
Fast hand detection in collaborative learning environments.
In International Conference on Computer Analysis of
Images and Patterns, pages 445--454. Springer, 2021.
[ bib |
http ]
|
|
[310]
|
M. Thurgood, R. Jordan, and C. Abdallah.
Fast Algorithms for Generating the Original and Symmetric
PONS Matrices.
In 10th Digital Signal Processing Workshop, 2002.
[ bib ]
|
|
[311]
|
Phuong Tran, Marios Pattichis, Sylvia Celedón-Pattichis, and Carlos
LópezLeiva.
Facial recognition in collaborative learning videos.
In International Conference on Computer Analysis of
Images and Patterns, pages 252--261. Springer, 2021.
[ bib |
http ]
|
|
[312]
|
Nicolas Tsapatsoulis, Andreas Lanitis, Marios Pattichis, Constantinos
Pattichis, Christos Kyrkou, Efthyvoulos Kyriacou, Zenonas Theodosiou, and
Andreas Panayides, editors.
Computer Analysis of Images and Patterns: 20th
International Conference, CAIP 2023, Limassol, Cyprus, September
25–28, 2023, Proceedings, Part I, volume 14184 of Lecture
Notes in Computer Science.
Springer Nature, Cham, 2023.
[ bib |
DOI ]
|
|
[313]
|
Nicolas Tsapatsoulis, Andreas Lanitis, Marios Pattichis, Constantinos S.
Pattichis, Christos Kyrkou, Efthyvoulos Kyriacou, Zenonas Theodosiou, and
Andreas Panayides, editors.
Computer Analysis of Images and Patterns: 20th
International Conference, CAIP 2023, Limassol, Cyprus, September
25–28, 2023, Proceedings, Part II, volume 14185 of Lecture
Notes in Computer Science.
Springer Nature, Cham, 2023.
[ bib |
DOI ]
|
|
[314]
|
A. Ulloa, J. Liu, V. Vergara, J. Chen, V. Calhoun, and M. Pattichis.
Three-way Parallel Independent Component Analysis for
Imaging Genetics using Multi-Objective Optimization.
In 36th IEEE EMBC, pages 6651--6654, August 2014.
[ bib |
.pdf ]
|
|
[315]
|
A. Ulloa, P. Rodriguez, J. Liu, V. Calhoun, and M. Pattichis.
A Quasi-Local Method for Instantaneous Frequency
Estimation with Application to Structural Magnetic Resonance
Images.
In 36th Annual International Conference of the IEEE,
EMBC, pages 1477--1480, August 2014.
[ bib |
.pdf ]
|
|
[316]
|
Alvaro E Ulloa Cerna, Linyuan Jing, Christopher W Good, David P vanMaanen,
Sushravya Raghunath, Jonathan D Suever, Christopher D Nevius, Gregory J
Wehner, Dustin N Hartzel, Joseph B Leader, and others.
Deep-learning-assisted analysis of echocardiographic videos improves
predictions of all-cause mortality.
Nature Biomedical Engineering, 5(6):546--554, 2021.
[ bib |
.pdf ]
|
|
[317]
|
Ioanna Valiandi, Andreas S Panayides, Efthyvoulos Kyriacou, Constantinos S
Pattichis, and Marios S Pattichis.
A Comparative Performance Assessment of Different Video
Codecs.
In International Conference on Computer Analysis of
Images and Patterns, pages 265--275. Springer, 2023.
[ bib |
.pdf ]
|
|
[318]
|
A. Vera, M. Pattichis, and J. Lyke.
A Dynamic Dual Fixed-Point Arithmetic Architecture for
FPGAs.
International Journal of Reconfigurable Computing, 2011, 2011.
[ bib |
.pdf ]
|
|
[319]
|
G. Vera, D. Llamocca, M. Pattichis, W. Kemp, W. Shedd, D. Alexander, and
J. Lyke.
Dose Rate Upset Investigations on the Xilinx Virtex IV
Field Programmable Gate Arrays.
In IEEE Radiation Effects Data Workshop, volume 0,
pages 172--176, July 2007.
[ bib |
.pdf ]
|
|
[320]
|
G. Vera, D. Llamocca, M. Pattichis, and J. Lyke.
A dynamically reconfigurable computing model for video processing
applications.
In Proc. 43rd Asilomar Conference on Signals, Systems
and Computers, pages 327--331, November 2009.
[ bib |
.pdf ]
|
|
[321]
|
G. Vera, U. Meyer-Baese, and M. Pattichis.
An FPGA-based Rapid Prototyping Platform for Wavelet
Coprocessors.
In Proc. SPIE Defense & Security Symposium, volume
6576, pages 657615--657615--10, 2007.
[ bib |
http ]
|
|
[322]
|
G. Vera, J. Parra, C. Kief, M. Pattichis, and L. Pollard.
Integrating Reconfigurable Logic in the First Digital Logic
Course.
In Proc. 9th Intl Conf on Engineering Education, 2006.
[ bib |
http ]
|
|
[323]
|
P. Vieyres, G. Poisson, G. Triantafyllidis, M. Pattichis, and G. Kontaxakis.
Future Challenges and Recommendations on Echography Systems
and Services.
In R. H. Istepanian, S. Laxminarayan, and C. S. Pattichis, editors,
M-Health: Emerging Mobile Health Systems, pages 509--514.
2006.
[ bib ]
|
|
[324]
|
S. Voskarides, C. Pattichis, R. Istepanian, E. Kyriacou, M. Pattichis, and
C. Schizas.
Mobile health systems: A brief overview.
In Proceedings of SPIE AeroSense, pages 124--131.
International Society for Optics and Photonics, 2002.
[ bib |
.pdf ]
|
|
[325]
|
S Wallace, CN Arge, M Pattichis, RA Hock-Mysliwiec, and CJ Henney.
Estimating Total Open Heliospheric Magnetic Flux.
Solar Physics, 294(2):19, 2019.
[ bib |
http ]
|
|
[326]
|
H. Yu, S. Barriga, C. Agurto, S. Echegaray, M. Pattichis, W. Bauman, and
P. Soliz.
Fast Localization and Segmentation of Optic Disc in Retinal
Images Using Directional Matched Filtering and Level Sets.
IEEE Transactions on Information Technology in Biomedicine,
16(4):644--657, July 2012.
[ bib |
.pdf ]
|
|
[327]
|
H. Yu, S. Barriga, C. Agurto, S. Echegaray, M. Pattichis, G. Zamora, W. Bauman,
and P. Soliz.
Fast localization of optic disc and fovea in retinal images for eye
disease screening.
In SPIE Medical Imaging, pages 796317--796317.
International Society for Optics and Photonics, 2011.
[ bib |
.pdf ]
|
|
[328]
|
H. Yu, M. Pattichis, and M. Goens.
A robust multi-view freehand three-dimensional ultrasound imaging
system using volumetric registration.
In Proc. IEEE International Conference on Systems, Man
and Cybernetics, volume 4, pages 3106--3111 Vol. 4, October 2005.
[ bib |
http ]
|
|
[329]
|
H. Yu, M. Pattichis, and M. Goens.
Multi-view 3D reconstruction with volumetric registration in a
freehand ultrasound imaging system.
In Proc. SPIE Medical Imaging, volume 6147, pages
614706--614706--12, 2006.
[ bib |
http ]
|
|
[330]
|
H. Yu, M. Pattichis, and M. Goens.
Robust Segmentation and Volumetric Registration in a
Multi-view 3D Freehand Ultrasound Reconstruction System.
In 40th Asilomar Conference on Signals, Systems, and
Computers, pages 1978--1982, October 2006.
[ bib |
.pdf ]
|
|
[331]
|
H. Yu, M. Pattichis, and M. Goens.
Robust Segmentation of Freehand Ultrasound Image Slices
Using Gradient Vector Flow Fast Geometric Active Contours.
In IEEE Southwest Symposium on Image Analysis and
Interpretation, pages 115--119, 2006.
[ bib |
.pdf ]
|
|
[332]
|
Honggang Yu, M. Pattichis, C. Agurto, and B. Goens.
A 3D Freehand Ultrasound System for Multi-view
Reconstructions from Sparse 2D Scanning Planes.
Biomedical engineering online, 10(1):7, 2011.
[ bib |
.pdf ]
|