Enhancement, classification and interpretation of histological images of cancer

SICAP Project DPI2016-77869-C2-2-R: Mejora, clasificación e interpretación de imágenes histológicas de cáncer

Part of the Coordinated Project Sistema de interpretación de imágenes histopatológicas para la detección de cáncer de próstata (SICAP)

Journal Papers

• J.G. Serra, M. Testa, R. Molina, and A.K. Katsaggelos, “Bayesian K-SVD Using Fast Variational Inference”, IEEE Transactions on Image Processing, vol. 26, no. 7, 3344-3348, July 2017. [BibTeX entry][Abstract][ (3247 KB.)]
• S. Villena, M. Vega, J. Mateos, D. Rosenberg, F. Murtagh, R. Molina, and A.K. Katsaggelos, “Image super-resolution for outdoor digital forensics. Usability and legal aspects”, Computers in Industry, vol. 98, 34-47, June 2018. [BibTeX entry][Abstract][ (4213 KB.)]
• A. Lucas, M. Iliadis, R. Molina, and A.K. Katsaggelos, “Using Deep Neural Networks for Inverse Problems in Imaging”, Signal Processing Magazine, vol. 35, no. 1, 20-36, 2018. [BibTeX entry][ (2903 KB.)]
• S. López Tapia, R. Molina, and N. Pérez de la Blanca, “Detection and Localization of Concealed Objects in Passive Millimeter Images”, Engineering Applications of Artificial Intelligence, vol. 67, 81-90, 2018. [BibTeX entry][ (3746 KB.)]
• P. Morales, A. Pérez-Suay, R. Molina, and G. Camps-Valls, “Remote Sensing Image Classification with Large Scale Gaussian Processes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, 1103-1114, 2018. [BibTeX entry][ (3614 KB.)]
• N. Rohani, P. Ruiz, R. Molina, and A.K. Katsaggelos, “Variational Gaussian Process for Multisensor Classification Problems”, Pattern Recognition Letters, vol. 116, 80-87, December 2018. [BibTeX entry][ (1177 KB.)]
• P. Ruiz, P. Morales-Álvarez, R. Molina, and A.K. Katsaggelos, “Learning from Crowds with Variational Gaussian Processes”, Pattern Recognition, vol. 88, 298-311, April 2019. [BibTeX entry][ (1041 KB.)]
• J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational EM Method for Blur Estimation using the Spike-and-Slab Image Prior”, Digital Signal Processing, vol. 88, 116-129, May 2019. [BibTeX entry][Abstract][ (3508 KB.)]
• A. Lucas, S. López-Tapia, R. Molina, and A.K. Katsaggelos, “Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution”, IEEE Transactions on Image Processing, vol. 28, no. 7, 3312-3327, July 2019. [BibTeX entry][ (5689 KB.)]
• S. López Tapia, R. Molina, and N. Pérez de la Blanca, “Deep CNNs for Object Detection using Passive Millimeter Sensors”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 9, 2580-2589, September 2019. [BibTeX entry][ (3351 KB.)]
• A. E. Esteban, M. López-Pérez, A. Colomer, M. A. Sales, R. Molina, and V. Naranjo, “A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes”, Computer Methods and Programs in Biomedicine, vol. 178, 303-317, September 2019. [BibTeX entry][Abstract][ (23644 KB.)]
• P. Morales-Álvarez, P. Ruiz , R. Santos-Rodríguez, R. Molina, and A.K. Katsaggelos, “Scalable and Efficient Learning from Crowds with Gaussian Processes”, Information Fusion, vol. 52, 110-127, December 2019. [BibTeX entry][Abstract][ (1893 KB.)]
• N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Variational Bayesian Blind Color Deconvolution of Histopathological Images”, IEEE Transactions on Image Processing, vol. 29, no. 1, 2026-2036, 2020. [BibTeX entry][Abstract][ (40392 KB.)]
• F. Pérez-Bueno, M. López-Pérez, M. Vega, J. Mateos, V. Naranjo, R. Molina, and A.K. Katsaggelos, “A TV-based Image Processing Framework for Blind Color Deconvolution and Classification of Histological Images,”, Digital Signal Processing, vol. 101, no. 6, 102727, June 2020. [BibTeX entry][Abstract][ (20301 KB.)]
• D. Heestermans-Svendsen, P. Morales-Álvarez, A.B. Ruescasa, R. Molina, and G. Camps-Valls, “Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 166, 68-81, August 2020. [BibTeX entry][ (6117 KB.)]
• F. Pérez-Bueno, M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors”, Sensors, vol. 20, 5308, September 2020. [BibTeX entry][Abstract][ (42170 KB.)]
• P. Morales-Álvarez, P. Ruiz, S. Coughlin, R. Molina, and A.K. Katsaggelos, “Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO”, IEEE Transactions on Pattern Analysis and Machine Intelligence, September 2020. [BibTeX entry][ (4126 KB.)]
• S. López-Tapia, A. Lucas, R. Molina, and A.K. Katsaggelos, “A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models”, Digital Signal Processing, vol. 104, 102801, September 2020. [BibTeX entry]
• J. Silva-Rodríguez, A. Colomer, M.A. Sales, R. Molina, and V. Naranjo, “Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection”, Computer Methods and Programs in Biomedicine, vol. 195, 105637, October 2020. [BibTeX entry]
• X. Zhou, R. Molina, Y. Ma, T. Wang, and D. Ni, “Parameter-free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy”, IEEE Transactions on Image Processing, vol. 29, no. 1, 3227-3238, December 2020. [BibTeX entry][ (7276 KB.)]
• M. López-Pérez, L. García, C. Benítez, and R. Molina, “A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes”, IEEE Transactions on Geoscience and Remote Sensing, September 2020. [BibTeX entry][ (3651 KB.)] (Accepted for publication).
• F. Pérez-Bueno, M. Vega, M.A. Sales, J. Aneiros-Fernández, V. Naranjo, R. Molina, and A.K. Katsaggelos, “Blind Color Deconvolution, Normalization and Classification of Histological Images Using General Super Gaussian Priors and Bayesian Inference”, IEEE Transactions on Image Processing, October 2020. [BibTeX entry] (Submitted).
• M. López-Pérez, M. Amgad, P. Morales-Álvarez, P. Ruiz, L.A.D. Cooper, R. Molina, and A.K. Katsaggelos, “Learning from crowds in digital pathology using scalable variational Gaussian processes”, Scientific Reports, 2021. [BibTeX entry] (Submitted).

Conference Papers

• P. Morales, A. Pérez-Suay, R. Molina, and G. Camps-Valls, “Efficient Remote Sensing Image Classification with Gaussian Processes and Fourier Features” in IEEE International Geoscience And Remote Sensing Symposium, vol. DOI: 10.1109/IGARSS.2017.8127431, Fort Worth, Texas (USA), July 2017. [BibTeX entry][Abstract][ (1218 KB.)]
• J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Parameter Estimation in Spike and Slab Variational Inference for Blind Image Deconvolution” in European Signal Processing Conference (EUSIPCO 2017), 1540-1544, Kos (Greece), August 2017. [BibTeX entry][Abstract][ (8829 KB.)]
• J.G. Serra, S. Villena, R. Molina, and A.K. Katsaggelos, “Greedy Bayesian Double Sparsity Dictionary Learning” in IEEE International Conference on Image Processing (ICIP 2017), 1935-1939, Beijing (China), September 2017. [BibTeX entry][Abstract][ (786 KB.)]
• J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Spike and Slab Variational Inference for Blind Image Deconvolution” in IEEE International Conference on Image Processing (ICIP 2017), 3765-3769, Beijing (China), September 2017. [BibTeX entry][Abstract][ (9057 KB.)]
• A. Colomer, P. Ruiz, V. Naranjo, R. Molina, and A.K: Katsaggelos, “Hard Exudate Detection using Local Texture Analysis and Gaussian Processes” in 15th International Conference on Image Analysis and Recognition (ICIAR2018), vol. LNCS 10882, 639-649, June 2018. [BibTeX entry][ (2597 KB.)]
• D. Heestermans-Svendsen, P. Morales-Álvarez, R. Molina, and G. Camps-Valls, “Deep Gaussian Processes for Geophysical Parameter Retrieval” in IEEE International Geoscience And Remote Sensing Symposium, vol. 10.1109/IGARSS.2018.8517647, Valencia (Spain), July 2018. [BibTeX entry][Abstract][ (302 KB.)]
• N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Fully Automated Blind Color Deconvolution of Histopathological Images” in 21st International Conference on Medical Image Computing and Computer Assisted (MICCAI 2018), Granada (Spain), September 2018. [BibTeX entry][Abstract][ (8533 KB.)]
• N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Blind Color Deconvolution of Histopathological Images using a variational Bayesian Approach” in IEEE International Conference on Image Processing (ICIP 2018), 983-987, Athens (Greece), October 2018. [BibTeX entry][Abstract][ (9480 KB.)]
• S. López-Tapia, C. Olivencia, J. Aneiros-Fernández, and N. Pérez de la Blanca, “Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features” in 15th European Congress on Digital Pathology, vol. 11435, 144-152, Coventry (UK), April 2019. [BibTeX entry][Abstract][ (10858 KB.)]
• S. López-Tapia, J. Aneiros-Fernández, and N. Pérez de la Blanca, “A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images” in 15th European Congress on Digital Pathology, vol. 11435, 135-143, Coventry (UK), April 2019. [BibTeX entry][Abstract][ (368 KB.)]
• X. Wang, A. Lucas, S. Lopez-Tapia, X. Wu, R. Molina, and A.K Katsaggelos, “Spatially Adaptive Losses for video super-resolutions with GANs” in IEEE International Conference on Audio, Speech and Signal Processing (ICAASP), 1697-1701, Brighton (UK), May 2019. [BibTeX entry] [Abstract][ (2052 KB.)].
• X. Wu, A. Lucas, S. Lopez-Tapia, X. Wang, R. Molina, and A.K Katsaggelos, “Semantic Prior Based Generative Adversarial Network for Video Super-Resolution” in 27th European Signal Processing Conference, EUSIPCO 2019, TuMP1.6, A Coruña (Spain), September 2019. [BibTeX entry][Abstract][ (2153 KB.)]
• X. Wang, A. Lucas, S. Lopez-Tapia, X. Wu, R. Molina, and A.K Katsaggelos, “A Composite Discriminator for GAN based Video Super-Resolution” in 27th European Signal Processing Conference, EUSIPCO 2019, TuMP1.5, A Coruña (Spain), September 2019. [BibTeX entry][Abstract][ (5335 KB.)]
• S. Lopez-Tapia, A. Lucas, R. Molina, and A.K. Katsaggelos, “Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model” in 27th European Signal Processing Conference, EUSIPCO 2019, WeAL5.5, A Coruña (Spain), September 2019. [BibTeX entry][Abstract][ (1391 KB.)]
• S. López-Tapia, A. Lucas, R. Molina, and A.K. Katsaggelos, “Gan-based video super-resolution with direct regularized inversion of the low resolution formation model” in IEEE International Conference on Image Processing, 2886-2890, Taipei (Taiwan), September 2019. [BibTeX entry] [Abstract][ (263 KB.)].
• M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational Bayes Color Deconvolution with a Total Variation Prior” in 27th European Signal Processing Conference, EUSIPCO 2019, TuEP3.7, A Coruña (Spain), September 2019. [BibTeX entry][Abstract][ (38859 KB.)]
• A. Lucas, S. López-Tapia, R. Molina, and A.K. Katsaggelos, “Efficient fine-tuning of neural networks for artifact removal in deep learning for inverse imaging problems” in IEEE International Conference on Image Processing, 3591-3595, Taipei (Taiwan), September 2019. [BibTeX entry] [Abstract][ (9265 KB.)].
• M. Lopez-Perez, A. Colomer, M. A. Sales, R. Molina, and V. Naranjo, “Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor” in Intelligent Data Engineering and Automated Learning - IDEAL 2019, edited by Springer International Publishing, Manchester (United Kingdom), November 2019. [BibTeX entry]
• F. Pérez-Bueno, M. Vega, V. Naranjo, R. Molina, and A.K. Katsaggelos, “SUPER GAUSSIAN PRIORS FOR BLIND COLOR DECONVOLUTION OF HISTOLOGICAL IMAGES” in IEEE International Conference on Image Processing (ICIP), Abu Dhabi (United Arab Emirates), October 2020. [BibTeX entry][Abstract][ (2422 KB.)]
• S. López-Tapia, A. Lucas, R. Molina, and A. K. Katsaggelos, “Gated Recurrent Networks for Video Super Resolution” in 28th European Signal Processing Conference (EUSIPCO), 700-704, Amsterdam (Netherlands), December 2020. [BibTeX entry]
• F. Pérez-Bueno, M. Vega, V. Naranjo, R. Molina, and A.K. Katsaggelos, “Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians” in 28th European Signal Processing Conference, EUSIPCO 2020, Amsterdam (Netherland), January 2021. [BibTeX entry][Abstract][ (37775 KB.)]

 

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