Deep Learning: An Update for Radiologists von Cheng, Phillip M., Montagnon, Emmanuel, Yamashita, Rikiya, Pan, Ian, Cadrin-Chenevert, Alexandre, Romero, Francisco Perdigon, Chartrand, Gabriel, Kadoury, Samuel, Tang, An

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Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks von Le, William Trung, Vorontsov, Eugene, Romero, Francisco Perdigón, Seddik, Lotfi, Elsharief, Mohamed Mortada, Nguyen-Tan, Phuc Felix, Roberge, David, Bahig, Houda, Kadoury, Samuel

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Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction von Elforaici, Mohamed El Amine, Montagnon, Emmanuel, Romero, Francisco Perdigón, Le, William Trung, Azzi, Feryel, Trudel, Dominique, Nguyen, Bich, Turcotte, Simon, Tang, An, Kadoury, Samuel

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Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks von Romaguera, Liset Vázquez, Plantefève, Rosalie, Romero, Francisco Perdigón, Hébert, François, Carrier, Jean-François, Kadoury, Samuel

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Myocardial segmentation in cardiac magnetic resonance images using fully convolutional neural networks von Romaguera, Liset Vázquez, Romero, Francisco Perdigón, Fernandes Costa Filho, Cicero Ferreira, Fernandes Costa, Marly Guimarães

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Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis von Montagnon, Emmanuel, Cerny, Milena, Hamilton, Vincent, Derennes, Thomas, Ilinca, André, Elforaici, Mohamed El Amine, Jabbour, Gilbert, Rafie, Edmond, Wu, Anni, Perdigon Romero, Francisco, Cadrin-Chênevert, Alexandre, Kadoury, Samuel, Turcotte, Simon, Tang, An

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Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach von Maaref, Ahmad, Romero, Francisco Perdigon, Montagnon, Emmanuel, Cerny, Milena, Nguyen, Bich, Vandenbroucke, Franck, Soucy, Geneviève, Turcotte, Simon, Tang, An, Kadoury, Samuel

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HistoBCAD: herramienta de código abierto para detección de cáncer de mama en imágenes histopatológicas von Carlos Abraham Pérez Marrero, Talía Vázquez Romaguera, Alexander Mulet De Los Reyes, Carlos R. Vázquez Seisdedos, Francisco Perdigón Romero

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A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction von Le, William, Romero, Francisco Perdigón, Kadoury, Samuel

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A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction von Le, William, Romero, Francisco Perdigón, Kadoury, Samuel

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Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors von Belal, Atif, Meethal, Akhil, Romero, Francisco Perdigon, Pedersoli, Marco, Granger, Eric

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Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher von Belal, Atif, Meethal, Akhil, Romero, Francisco Perdigon, Pedersoli, Marco, Granger, Eric

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DeepFilter: an ECG baseline wander removal filter using deep learning techniques von Romero, Francisco Perdigon, Piñol, David Castro, Seisdedos, Carlos Román Vázquez

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Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images von Romero, Francisco Perdigon, Tang, An, Kadoury, Samuel

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Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes von Meethal, Akhil, Pedersoli, Marco, Zhu, Zhongwen, Romero, Francisco Perdigon, Granger, Eric

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Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction von Elforaici, Mohamed El Amine, Montagnon, Emmanuel, Romero, Francisco Perdigon, Le, William Trung, Azzi, Feryel, Trudel, Dominique, Nguyen, Bich, Turcotte, Simon, Tang, An, Kadoury, Samuel

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SEMI-WEAKLY SUPERVISED OBJECT DETECTION USING PROGRESSIVE KNOWLEDGE TRANSFER AND PSEUDO-LABEL MINING von ZHU, Zhongwen, PERDIGON ROMERO, Francisco, PEDERSOLI, Marco, GRANGER, Eric, MEETHAL, Akhil

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Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors von Belal, Atif, Meethal, Akhil, Romero, Francisco Perdigon, Pedersoli, Marco, Granger, Eric

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Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher von Belal, Atif, Meethal, Akhil, Romero, Francisco Perdigon, Pedersoli, Marco, Granger, Eric

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Spine intervertebral disc labeling using a fully convolutional redundant counting model von Rouhier, Lucas, Romero, Francisco Perdigon, Cohen, Joseph Paul, Cohen-Adad, Julien

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