2018

Video Error Concealment Using Deep Neural Networks


A. Sankisa, A. Punjabi, A. K. Katsaggelos,

25th IEEE Int. Conf. on Image Processing, pp. 380-384

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Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach


N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, A. K. Katsaggelos,

25th IEEE Int. Conf. on Image Processing, pp. 983-987

[PDF]

An Interior Point Method for Nonnegative Sparse Signal Reconstruction


X. Huang, K. He, S. Yoo, O. Cossairt, A. K. Katsaggelos, et al.,

25th IEEE Int. Conf. on Image Processing, pp. 1193-1197

[PDF]

Probabilistic Matrix Completion for Image Phase Retrieval


P. Nyfantis, P. Ruiz, A. K. Katsaggelos,

25th IEEE Int. Conf. on Image Processing, pp. 3983-3987

[PDF]

Bayesian Approach for Automatic Joint Parameter Estimation in 3D Image Reconstruction from Multi-Focus Microscope


S. Yoo, P. Ruiz, X. Huang, K. He, X. Wang, et al.,

25th IEEE Int. Conf. on Image Processing, pp. 3583-3587

[PDF]

Fully Automated Blind Color Deconvolution of Histopathological Images


N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, A. K. Katsaggelos,

Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, pp. 183-191

[PDF]

Nonlinear unmixing of hyperspectral datasets for the study of painted works of art


N. Rohani, E. Pouyet, M. Walton, O. Cossairt, A. K. Katsaggelos,

Angewandte Chemie, vol. 130(34), pp. 11076-11080

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A Novel OCT Design for Cultural Heritage Applications


D. Duggins, F. Li, M. Aalders, O. Cossairt, A. K. Katsaggelos, M. Walton,

Microscopy and Microanalysis, vol. 24(S1), pp. 2142-2143

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Image super-resolution for outdoor digital forensics. Usability and legal aspects


S. Villena, M. Vega, J. Mateos, D. Rosenberg, F. Murtagh, et al.,

Computers in Industry, vol. 98, pp. 34-47

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Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes


A. Colomer, P. Ruiz, V. Naranjo, R. Molina, A. K. Katsaggelos,

Int. Conf. on Image Analysis and Recognition, pp. 639-649

[PDF]

Automatic Characterization of Plaques and Tissue in IVOCT Images Using a Multi-step Convolutional Neural Network Framework


G. A. Cheimariotis, M. Riga, K. Toutouzas, D. Tousoulis, A. K. Katsaggelos, N. Maglaveras,

World Congress on Medical Physics and Biomedical Engineering 2018, pp. 261-265

DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data


S. Bahaadini, V. Noroozi, N. Rohani, S. Coughlin, M. Zevin, A. K. Katsaggelos,

arXiv

[PDF]

ADP: Automatic differentiation ptychography


S. Ghosh, Y. Nashed, O. Cossairt, A. K. Katsaggelos,

IEEE Int. Conf. on Computational Photography, pp.1-10

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3D image reconstruction from multi-focus microscope: axial super-resolution and multiple-frame processing


S. Yoo, P. Ruiz, X. Huang, K. He, N. J. Ferrier, et al.,

IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 1453-1457

[PDF]

Machine learning for Gravity Spy: Glitch classification and dataset


S. Bahaadini, V. Noroozi, N. Rohani, S. Coughlin, M. Zevin, et al.,

Information Sciences, vol. 444, pp. 172-186

[PDF]

Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach


E. Pouyet, N. Rohani, A. K. Katsaggelos, O. Cossairt, M. Walton,

Pure and Applied Chemistry, vol. 90(3), pp. 493-506

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Particle Tracking and Extended Object Imaging by Interferometric Super Resolution Microscopy


I. Gdor, S. Yoo, X. Wang, M. Daddysman, R. Wilton, et al.,

arXiv

[PDF]

3D snapshot microscopy of extended objects


X. Huang, A. Selewa, X. Wang, M. Daddysman, I. Gdor, et al.,

arXiv

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Efficient video object segmentation via network modulation


L. Yang, Y. Wang, X. Xiong, J. Yang, A. K. Katsaggelos,

IEEE/CVF Conf. on Computer Vision and Pattern Recognition, pp. 6499-6507

[PDF]

Using deep neural networks for inverse problems in imaging: beyond analytical methods


A. Lucas, M. Iliadis, R. Molina, A. K. Katsaggelos,

IEEE Signal Processing Magazine, vol 35(1), pp. 20-36

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An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes


A. B. Rad, T. Eftestøl, U. Irusta, J. T. Kvaløy, L. Wik, et al.,

Resuscitation, vol. 122, pp. 6-12

[PDF]

Deep fully-connected networks for video compressive sensing


M. Iliadis, L. Spinoulas, A. K. Katsaggelos,

Digital Signal Processing, vol. 72, pp. 9-18

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2017

Approximate equiangular tight frames for compressed sensing and CDMA applications


E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos,

EURASIP Journal on Advances in Signal Processing, vol. 2017(1), pp. 66

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Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings


J. Salvant, M. Walton, D. Kronkright, C.-K. Yeh, F. Li, et al.,

arXiv

[PDF]

Shape-from-shifting: Uncalibrated photometric stereo with a mobile device


C.-K. Yeh, F. Li, G. Pastorelli, M. Walton, A. K. Katsaggelos, O. Cossairt,

13th IEEE Int. Conf. on e-Science, pp. 551-558

[PDF]

Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier


M. Zabihi, A. B. Rad, A. K. Katsaggelos, S. Kiranyaz, S. Narkilahti, M. Gabbouj,

Computing in Cardiology, vol. 44, pp. 1-4

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Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection


D. Gürsoy, Y. P. Hong, K. He, K. Hujsak, S. Yoo, et al.,

Scientific Reports, vol. 7(1), pp. 11818

[PDF]

Spike and slab variational inference for blind image deconvolution


J. G. Serra, J. Mateos, R. Molina, A. K. Katsaggelos,

IEEE Int. Conf. on Image Processing, pp. 3765-3769

[PDF]

Ptychnet: CNN based fourier ptychography


A. Kappeler, S. Ghosh, J. Holloway, O. Cossairt, A. K. Katsaggelos,

IEEE Int. Conf. on Image Processing, pp. 1712-1716

[PDF]

Passive millimeter wave image classification with large scale Gaussian processes


P. Morales-Alvarez, A. Pérez-Suay, R. Molina, G. Camps-Valls, A. K. Katsaggelos,

IEEE Int. Conf. on Image Processing, pp. 370-374

[PDF]

Greedy Bayesian double sparsity dictionary learning


J. G. Serra, S. Villena, R. Molina, A. K. Katsaggelos,

IEEE Int. Conf. on Image Processing, pp. 1935-1939

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Parameter estimation in spike and slab variational inference for blind image deconvolution


J. G. Serra, J. Mateos, R. Molina, A. K. Katsaggelos,

25th European Signal Processing Conf., pp. 1495-1499

[PDF]

Visualization of feature evolution during convolutional neural network training


A. Punjabi, A. K. Katsaggelos,

25th European Signal Processing Conf., pp. 311-315

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Revealing the biography of a hidden medieval manuscript using synchrotron and conventional imaging techniques


E. Pouyet, S. Devine, T. Grafakos, R. Kieckhefer, J. Salvant, et al.,

Analytica Chimica Acta, vol. 982, pp. 20-30

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Integrated Dynamic 3D Imaging of Microbial Processes and Communities in Rhizosphere Environments: The Argonne Small Worlds Project


K. M. Kemner, M. Hereld, N. Scherer, A. Selewa, X. Wang, et al.,

Microscopy and Microanalysis, vol. 23(S1), pp. 340-341

[PDF]

A Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object Detection


D. Mery, A. K. Katsaggelos,

Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition Workshops, pp. 57-65

[PDF]

Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals


H. Vu, K. Engan, T. Eftestøl, A. K. Katsaggelos, S. Jatos, et al.,

Biomedical Signal Processing and Control, vol. 36, pp. 20-26

[PDF]

Dictionary-based phase retrieval for space-time super resolution using lens-free on-chip holographic video


Z. Wang, Q. Dai, D. Ryu, K. He, R. Horstmeyer, et al.,

Computational Optical Sensing and Imaging, pp. CTu2B. 3

[PDF]

4D tracking of biological samples using lens-free on-chip in-line holography


Z. Wang, D. Ryu, K. He, O. Cossairt, A. K. Katsaggelos,

Digital Holography and Three-Dimensional Imaging, pp. Tu2A. 4

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Spatial-Spectral Representation for X-Ray Fluorescence Image Super-Resolution


Q. Dai, E. Pouyet, O. Cossairt, M. Walton, A. K. Katsaggelos,

IEEE Trans. on Computational Imaging, vol. 3(3), pp. 432-444

[PDF]

High-speed holographic imaging using compressed sensing and phase retrieval


Z. Wang, D. Ryu, K. He, R. Horstmeyer, A. K. Katsaggelos, O. Cossairt,

Computational Imaging II, vol. 10222, pp. 102220G

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Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging


D. G. Stork, N. Rohani, A. K. Katsaggelos,

Computational Imaging II, vol. 10222, pp. 102220P

[PDF]

ECG-based classification of resuscitation cardiac rhythms for retrospective data analysis


A. B. Rad, T. Eftestøl, K. Engan, U. Irusta, J. T. Kvaløy, et al.,

IEEE Trans. on Biomedical Engineering, vol. 64(10), pp. 2411-2418

[PDF]

Bayesian K-SVD using fast variational inference


J. G. Serra, M. Testa, R. Molina, A. K. Katsaggelos,

IEEE Trans. on Image Processing, vol. 26(7), pp. 3344-3359

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A bayesian multi-frame image super-resolution algorithm using the Gaussian Information Filter


M. Woods, A. K. Katsaggelos,

IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 1368-1372

[PDF]

Deep multi-view models for glitch classification


S. Bahaadini, N. Rohani, S. Coughlin, M. Zevin, V. Kalogera, A. K. Katsaggelos,

IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 2931-2935

[PDF]

Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science


M. Zevin, S. Coughlin, S. Bahaadini, E. Besler, N. Rohani, et al.,

Classical and Quantum Gravity, vol. 34(6), pp. 064003

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