Publications

Found 832 results
Author Title Type [ Year(Asc)]
2016
Wang, Y., X. Wang, A. K. Katsaggelos, and T. B. Parrish, "3D Convolutional Neural Network for Chronic Stroke Lesion Segmentation", The Organization for Human Brain Mapping (OHBM), Geneva, Switzerland, 01/2016.
Zabihi, M., S. Kiranyaz, A. Bahrami Rad, A. K. Katsaggelos, M. Gabbouj, and T. Ince, "Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, pp. 386–398, 2016.
Rad, A. Bahrami, K. Engan, A. K. Katsaggelos, J. Terje Kvaløy, L. Wik, J. Kramer-Johansen, U. Irusta, and T. Eftestøl, "Automatic cardiac rhythm interpretation during resuscitation", Resuscitation, vol. 102, pp. 44–50, 2016.
AlSaafin, W., S. Villena, M. Vega, R. Molina, and A. K. Katsaggelos, "Compressive sensing super resolution from multiple observations with application to passive millimeter wave images", Digital Signal Processing, vol. 50, pp. 180–190, 2016.
Huang, X., E. Uffelman, O. Cossairt, M. Walton, and A. K. Katsaggelos, "Computational Imaging for Cultural Heritage: Recent developments in spectral imaging, 3-D surface measurement, image relighting, and X-ray mapping", IEEE Signal Processing Magazine, vol. 33, pp. 130–138, 2016. SPM_0916.pdf (2.41 MB)
Wang, Y., X. Wang, A. K. Katsaggelos, and T. B. Parrish, "A DEEP SYMMETRY CONVNET FOR STROKE LESION SEGMENTATION", IEEE International Conference on Image Processing, Phoenix, Arizona, USA, 02/2016. ICIP2016_Joyce_2_9.pdf (867.7 KB)
Ruiz, P., R. Molina, and A. K. Katsaggelos, "Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers", IEEE Transactions on Image Processing, vol. 25, pp. 3059–3072, 2016. 07460233.pdf (2.83 MB)
Watt, J., R. Borhani, and A.. K. Katsaggelos, Machine Learning Refined: Foundations, Algorithms, and Applications, , 2016.
Watt, J., R. Borhani, and A. K. Katsaggelos, Machine Learning Refined: Foundations, Algorithms, and Applications, : Cambridge University Press, 2016.
Sankisa, A., K. Pandremmenou, P. V. Pahalawatta, L. P. Kondi, and A. K. Katsaggelos, "SSIM-Based Distortion Estimation for Optimized Video Transmission over Inherently Noisy Channels", International Journal of Multimedia Data Engineering and Management (IJMDEM), vol. 7, pp. 34–52, 2016.
Kappeler, A., S. Yoo, Q. Dai, and A. K. Katsaggelos, "Super-resolution of compressed videos using convolutional neural networks", Image Processing (ICIP), 2016 IEEE International Conference on: IEEE, 2016. 07532538 (3).pdf (1.14 MB)
Chen, Z., R. Molina, and A. K. Katsaggelos, "A Variational Approach for Sparse Component Estimation and Low- Rank Matrix Recovery", Handbook of Robust Low-Rank and Sparse Matrix Decomposition: CRC Press, 2016.
Kappeler, A., S. Yoo, Q. Dai, and A. K. Katsaggelos, "Video Super-Resolution With Convolutional Neural Networks", IEEE Transactions on Computational Imaging, vol. 2, pp. 109–122, 2016. 07444187.pdf (5.61 MB)
Kappeler, A.., S.. Yoo, Q.. Dai, and A. K. Katsaggelos, Video Super-Resolution With Convolutional Neural Networks, , 2016. 07444187.pdf (5.61 MB)
Dai, Q., E. Pouyet, O. Cossairt, M. Walton, F. Casadio, and A. Katsaggelos, "X-Ray fluorescence image super-resolution using dictionary learning", Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 IEEE 12th: IEEE, 2016. IVMSP_2016.pdf (1004.26 KB)
2015
Wang, B., X. Wang, A.K.. Katsaggelos, and T.B.. Parrish, "Automatic Segmentation of Chronic Stroke Employing 3D Mean-Shift and Symmetry of the Human Brain", Organization for Human Brain Mapping (OHBM), Honolulu, HI, 06/2015.
Wang, B., X. Wang, A. K. Katsaggelos, and T. B. Parrish, "An Automatic Segmentation Pipeline for Chronic Stroke Lesions Employing Mean-Shift and Symmetry of the Human Brain", American Society of Neuroradiology (ASNR), Chicago, IL, 04/2015.
Kotu, L.. P., K. Engan, R.. Borhani, A. K. Katsaggelos, S. Orn, L. Woie, and T. Eftestol, "Cardiac magnetic resonance image-based classification of the risk ofarrhythmias in post-myocardial infarction patients", Artificial Intelligence in Medicine, 2015. paper.pdf (2.15 MB)
Dai, Q., S. Yoo, A. Kappeler, and A. K. Katsaggelos, "Dictionary-based multiple frame video super-resolution", Image Processing (ICIP), 2015 IEEE International Conference on: IEEE, 2015.
Sankisa, A., AK. Katsaggelos, and P. V. Pahalawatta, "Distortion Estimation Using Structural Similarity for Video Transmission over Wireless Networks", 2015 IEEE International Symposium on Multimedia (ISM): IEEE, 2015.
Peláez, N., A. Gavalda-Miralles, B. Wang, H. Tejedor Navarro, H. Gudjonson, I. Rebay, A. R. Dinner, A. K. Katsaggelos, L. A. N. Amaral, and R. W. Carthew, "Dynamics and heterogeneity of a fate determinant during transition towards cell differentiation", eLife, vol. 4, pp. e08924, 2015.
I Maqueda, G., P. N de la Blanca, R. Molina, and AK. Katsaggelos, "Fast millimeter wave threat detection algorithm", Signal Processing Conference (EUSIPCO), 2015 23rd European: IEEE, 2015.
Koller, R., L. Schmid, N. Matsuda, T. Niederberger, L. Spinoulas, O. Cossairt, G. Schuster, and A. K. Katsaggelos, "High spatio-temporal resolution video with compressed sensing", Opt. Express, vol. 23, pp. 15992–16007, 06/2015. manuscript_small.pdf (5.95 MB)
Saafin, W., M. Vega, R. Molina, and A. K. Katsaggelos, "Image super-resolution from compressed sensing observations", Image Processing (ICIP), 2015 IEEE International Conference on: IEEE, 2015.

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