Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function von Petmezas, Georgios, Cheimariotis, Grigorios-Aris, Stefanopoulos, Leandros, Rocha, Bruno, Paiva, Rui Pedro, Katsaggelos, Aggelos K, Maglaveras, Nicos

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Sparse Bayesian Methods for Low-Rank Matrix Estimation von Babacan, S. Derin, Luessi, Martin, Molina, Rafael, Katsaggelos, Aggelos K.

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DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large US Clinical Data Set von Wehbe, Ramsey M., Sheng, Jiayue, Dutta, Shinjan, Chai, Siyuan, Dravid, Amil, Barutcu, Semih, Wu, Yunan, Cantrell, Donald R., Xiao, Nicholas, Allen, Bradley D., MacNealy, Gregory A., Savas, Hatice, Agrawal, Rishi, Parekh, Nishant, Katsaggelos, Aggelos K.

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A survey of classical methods and new trends in pansharpening of multispectral images von Amro, Israa, Mateos, Javier, Vega, Miguel, Molina, Rafael, Katsaggelos, Aggelos K

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Neuroimaging modality fusion in Alzheimer's classification using convolutional neural networks von Punjabi, Arjun, Martersteck, Adam, Wang, Yanran, Parrish, Todd B, Katsaggelos, Aggelos K

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Learning-based physical models of room-temperature semiconductor detectors with reduced data von Banerjee, Srutarshi, Rodrigues, Miesher, Ballester, Manuel, Vija, Alexander Hans, Katsaggelos, Aggelos K.

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Charge Diffusion and Repulsion in Semiconductor Detectors von Ballester, Manuel, Kaspar, Jaromir, Massanés, Francesc, Vija, Alexander Hans, Katsaggelos, Aggelos K

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Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning von Arief, Hasan Asy'ari, Thomas, Peter James, Constable, Kevin, Katsaggelos, Aggelos K

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Learning from crowds in digital pathology using scalable variational Gaussian processes von López-Pérez, Miguel, Amgad, Mohamed, Morales-Álvarez, Pablo, Ruiz, Pablo, Cooper, Lee A. D., Molina, Rafael, Katsaggelos, Aggelos K.

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A physics based machine learning model to characterize room temperature semiconductor detectors in 3D von Banerjee, Srutarshi, Rodrigues, Miesher, Ballester, Manuel, Vija, Alexander H., Katsaggelos, Aggelos K.

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Limited-angle computed tomography with deep image and physics priors von Barutcu, Semih, Aslan, Selin, Katsaggelos, Aggelos K., Gürsoy, Doğa

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Characterizing major depressive disorder and substance use disorder using heatmaps and variable interactions: The utility of operant behavior and brain structure relationships von Vike, Nicole L, Bari, Sumra, Kim, Byoung Woo, Katsaggelos, Aggelos K, Blood, Anne J, Breiter, Hans C

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Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution von Lucas, Alice, Lopez-Tapia, Santiago, Molina, Rafael, Katsaggelos, Aggelos K.

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Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation von Molina, R., Mateos, J., Katsaggelos, A.K.

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Video Variational Deep Atmospheric Turbulence Correction von Lopez-Tapia, Santiago, Wang, Xijun, Katsaggelos, Aggelos K.

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A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction von Wu, Yunan, Besson, Pierre, Azcona, Emanuel A., Bandt, S. Kathleen, Parrish, Todd B., Breiter, Hans C., Katsaggelos, Aggelos K.

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State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review von Petmezas, Georgios, Stefanopoulos, Leandros, Kilintzis, Vassilis, Tzavelis, Andreas, Rogers, John A, Katsaggelos, Aggelos K, Maglaveras, Nicos

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Deep Gaussian Processes for classification with multiple noisy annotators. Application to breast cancer tissue classification von Lopez-Perez, Miguel, Morales-Alvarez, Pablo, Cooper, Lee A. D., Molina, Rafael, Katsaggelos, Aggelos K.

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Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors von Perez-Bueno, Fernando, Vega, Miguel, Mateos, Javier, Molina, Rafael, Katsaggelos, Aggelos K.

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Variable Splitting and Fusing for Image Phase Retrieval von Nyfantis, Petros, Mataran, Pablo Ruiz, Nistazakis, Hector, Tombras, George, Katsaggelos, Aggelos K

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