Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks. - Liset Vázquez Romaguera; Marly Guimarães Fernandes Costa; Francisco Perdigón Romero; Cicero Ferreira Fernandes Costa Filho (Computer-Aided Diagnosis, 2017)

Myocardial segmentation in cardiac magnetic resonance images using fully convolutional neural networks. - Liset Vázquez Romaguera; Francisco Perdigón Romero; Cicero Ferreira Fernandes Costa Filho; Marly Guimarães Fernandes Costa (Biomed. Signal Process. Control., 2018)

End-To-End Discriminative Deep Network For Liver Lesion Classification. - Francisco Perdigón Romero; Andre Diler; Gabriel Bisson-Gregoire; Simon Turcotte; Real Lapointe; Franck Vandenbroucke-Menu; An Tang; Samuel Kadoury (ISBI, 2019)

Multi-Level Batch Normalization in Deep Networks for Invasive Ductal Carcinoma Cell Discrimination in Histopathology Images. - Francisco Perdigón Romero; An Tang; Samuel Kadoury (ISBI, 2019)

Spine intervertebral disc labeling using a fully convolutional redundant counting model. - Lucas Rouhier; Francisco Perdigón Romero; Joseph Paul Cohen; Julien Cohen-Adad (CoRR, 2020)

A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction. - William Le; Francisco Perdigón Romero; Samuel Kadoury (CoRR, 2020)

Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach. - Ahmad Maaref; Francisco Perdigón Romero; Emmanuel Montagnon; Milena Cerny; Bich Nguyen; Franck Vandenbroucke-Menu; Geneviève Soucy; Simon Turcotte; An Tang; Samuel Kadoury (J. Digit. Imaging, 2020)

Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks. - Liset Vázquez Romaguera; Rosalie Plantefève; Francisco Perdigón Romero; François Hébert; Jean-François Carrier; Samuel Kadoury (Medical Image Anal., 2020)

DeepFilter: An ECG baseline wander removal filter using deep learning techniques. - Francisco Perdigon Romero; David Castro Piñol; Carlos R. Vázquez-Seisdedos (Biomed. Signal Process. Control., 2021)

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. - Akhil Meethal; Marco Pedersoli; Zhongwen Zhu; Francisco Perdigon Romero; Eric Granger (IJCNN, 2022)

Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher. - Atif Belal; Akhil Meethal; Francisco Perdigon Romero; Marco Pedersoli; Eric Granger (WACV, 2024)

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection. - Atif Belal; Akhil Meethal; Francisco Perdigon Romero; Marco Pedersoli; Eric Granger (CoRR, 2024)

Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors. - Atif Belal; Akhil Meethal; Francisco Perdigon Romero; Marco Pedersoli; Eric Granger (WACV, 2025)

Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction. - Mohamed El Amine Elforaici; Emmanuel Montagnon; Francisco Perdigón Romero; William Trung Le; Feryel Azzi; Dominique Trudel; Bich Nguyen; Simon Turcotte; An Tang; Samuel Kadoury (Medical Image Anal., 2025)