Francisco Perdigón Romero

According to our database, Francisco Perdigón Romero authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher.

Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction.

Mohamed El Amine Elforaici, Emmanuel Montagnon, Francisco Perdigon Romero, William Trung Le, Feryel Azzi, Dominique Trudel, Bich Nguyen, Simon Turcotte, An Tang, Samuel Kadoury

CoRR, 2023

2022

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes.

Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

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

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

A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction.

William Le, Francisco Perdigón Romero, Samuel Kadoury

CoRR, 2020

Spine intervertebral disc labeling using a fully convolutional redundant counting model.

Lucas Rouhier, Francisco Perdigón Romero, Joseph Paul Cohen, Julien Cohen-Adad

CoRR, 2020

2019

Multi-Level Batch Normalization in Deep Networks for Invasive Ductal Carcinoma Cell Discrimination in Histopathology Images.

Francisco Perdigón Romero, An Tang, Samuel Kadoury

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

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

2017

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017