May 2022

Compressive Ptychography using Deep Image and Generative Priors


S. Barutcu, D. Gursoy, A. K. Katsaggelos,

ArXiv

[PDF]

May 2021

Removing Blocking Artifacts in Video Streams Using Event Cameras


H. H. Chopp, S. Banerjee, O. Cossairt, A. K. Katsaggelos,

arxiv.org/abs/2105.05973

[PDF]

March 2021

Adaptive Illumination based Depth Sensing using Deep Learning


Q. Dai, F. Li, O. Cossairt, A. K. Katsaggelos,

[PDF]

January 2021

SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation


M. A. Nau, F. Schiffers, Y. Li, B. Xu, A. Maier, J. Tumblin, M. Walton, A. K. Katsaggelos, F. Willomitzer, O. Cossairt,

[PDF]

Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets


G. Petmezas, K. Haris, L. Stefanopoulos, V. Kilintzis, A. Tzavelis, J. A. Rogers, A. K. Katsaggelos, N. Maglaveras,

Biomedical Signal Processing and Control, Volume 63

[PDF]

February 2021

Snapshot Compressive Imaging: Theory, Algorithms, and Applications


X. Yuan, D. J. Brady, A. K. Katsaggelos,

IEEE Signal Processing Magazine, vol. 38, no. 2, pp. 65-88

[PDF]

September 2021

Limited-Angle Computed Tomography with Deep Image and Physics Priors


S. Barutcu, S. Aslan, A. K. Katsaggelos, D. Gursoy,

Nature - Scientific Reports

[PDF]

May 2021

December 2020

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network


H. Wei, F. Schiffers, T. Würfl, D. Shen, D. Kim, A. K. Katsaggelos, O. Cossairt,

[PDF]

Quadtree Driven Lossy Event Compression


S. Banerjee, Z. W. Wang, H. H. Chopp, O. Cossairt, A. K. Katsaggelos,

[PDF]

March 2020

Knowledge Tracing to Model Learning in Online Citizen Science Projects


K. Crowston, C. S. Østerlund, T. K. Lee, C. Jackson, M. Harandi, S. Allen, S. Bahaadini, S. Coughlin, A. K. Katsaggelos, S. L. Larson, N. Rohani, J. R. Smith, L. Trouille, M. Zevin,

IEEE Transactions on Learning Technologies, vol. 13, no. 1, pp. 123-134

[PDF]

January 2020

Examining the Benefits of Capsule Neural Networks


A. Punjabi, J. Schmid, A. K. Katsaggelos,

[PDF]

Variational Bayesian Blind Color Deconvolution of Histopathological Images


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

IEEE Transactions on Image Processing, vol. 29, pp. 2026-2036

[PDF]

April 2020

Temporal capsule networks for video motion estimation and error concealment


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

SIViP 14, 1369–1377

[PDF]

September 2020

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors


F. Pérez-Bueno, M. Vega, J. Mateos, R. Molina, A. K. Katsaggelos,

Sensors 2020, 20, 5308

[PDF]

July 2020

A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models


S. López-Tapia, A. Lucas, R. Molina, A. K. Katsaggelos,

Digital Signal Processing, Volume 104

[PDF]

March 2020

A TV-based image processing framework for blind color deconvolution and classification of histological images


F. Pérez-Bueno, M. López-Pérez, M. Vega, J. Mateos, V. Naranjo, R. Molina, A. K. Katsaggelos,

Digital Signal Processing, Volume 101

[PDF]

November 2020

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large US Clinical Dataset


R. M. Wehbe, J. Sheng, S. Dutta, S. Chai, A. Dravid, S. Barutcu, Y. Wu, D. R. Cantrell, N. Xiao, B. D. Allen, G. A. MacNealy, H. Savas, R. Agrawal, N. Parekh, A. K. Katsaggelos,

Radiology

[PDF]

December 2020

E3D: Event-Based 3D Shape Reconstruction


A.Baudron, Z. W. Wang, O. Cossairt, A. K. Katsaggelos,

[PDF]

January 2019

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution


A. Lucas, S. Lopez-Tapia, R. Molina, A. K. Katsaggelos,

IEEE Trans. on Image Processing

[PDF]

September 2019

Visible transmission imaging of watermarks by suppression of occluding text or drawings


P. Ruiz, O. Dill, G. Raju, O. Cossairt, M. Walton, A. K. Katsaggelos,

Digital Applications in Archaeology and Cultural Heritage, vol.15, e00121

[PDF]

February 2019

Variational EM Method for Blur Estimation using the Spike-and-Slab Image Prior


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

Digital Signal Processing

[PDF]

April 2019

Learning from crowds with variational Gaussian processes


P. Ruiz, P. Morales-Álvarez, R. Molina, A. K. Katsaggelos,

Pattern Recognition, vol. 88, pp. 298-311

[PDF]

January 2019

Scalable and Efficient Learning from Crowds with Gaussian Processes


P. Morales-Álvarez, P. Ruiz, R. Santos-Rodríguez, R. Molina, A. K. Katsaggelos,

Information Fusion

[PDF]

December 2019

Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction


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

IEEE Trans. on Multimedia, vol. 22(10), pp. 2564-2578

[PDF]

October 2019

Optical Flow Prediction for Blind and Non-Blind Video Error Concealment Using Deep Neural Networks


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

International Journal of Multimedia Data Engineering and Management (IJMDEM)

November 2019

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO


P. Morales-Álvarez, P. Ruiz, S. Coughlin, R. Molina, A.K. Katsaggelos,

Under review at IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv preprint arXiv:1911.01915

October 2019

DeepBinaryMask: Learning a binary mask for video compressive sensing


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

Digital Signal Processing, Volume 96

[PDF]

April 2019

Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning


S. Coughlin, S. Bahaadini, N. Rohani, M. Zevin, O. Patane, M. Harandi, C. Jackson, V. Noroozi, S. Allen, J. Areeda, M. Coughlin, P. Ruiz, C. P. L. Berry, K. Crowston, A. K. Katsaggelos, A. Lundgren, C. Østerlund, J. R. Smith, L. Trouille, V. Kalogera,

Physical Review D, vol. 99, 082002

[PDF]

November 2019

Teaching citizen scientists to categorize glitches using machine learning guided training


C. B. Jackson, C. S. Østerlund, K. Crowston, M. Harandi, S. Allen, S. Bahaadini, S. Coughlin, V. Kalogera, A. K. Katsaggelos, S. L. Larson, N. Rohani, J. R. Smith, L. Trouille, M. Zevin,

Computers in Human Behavior, Volume 105

[PDF]

December 2019

Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks


A. Punjabi, A. Martersteck, Y. Wang, T. B. Parrish, A. K. Katsaggelos,

PLOS ONE

[PDF]

March 2018

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]

January 2018

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

[PDF]

October 2018

Design and simulation of a snapshot multi-focal interferometric microscope


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

Optics express, vol. 26(21), pp. 27381-27402

[PDF]

January 2018

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]

December 2018

Variational Gaussian process for multisensor classification problems


N. Rohani, P. Ruiz, R. Molina, A. K. Katsaggelos,

Pattern Recognition Letters

[PDF]

January 2018

Deep fully-connected networks for video compressive sensing


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

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

[PDF]

August 2018

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

[PDF]

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

[PDF]

December 2018

Computational multifocal microscopy


K. He, Z. Wang, X. Huang, X. Wang, S. Yoo, et al.,

Biomedical Optics Express, vol. 9(12), pp. 6477-6496

[PDF]

June 2018

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

[PDF]

May 2018

DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data


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

arXiv

[PDF]

February 2018

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

[PDF]

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

[PDF]

July 2017

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]

March 2017

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

[PDF]

May 2017

February 2017

Robust and low-rank representation for fast face identification with occlusions


M. Iliadis, H. Wang, R. Molina, A. K. Katsaggelos,

IEEE Trans. on Image Processing, vol. 26(5), pp. 2203-2218

[PDF]