Simon Jégou

According to our database, Simon Jégou authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

Winning Amazon KDD Cup'24.

Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz, Simon Jégou

CoRR, 2024

2022

General Image Descriptors for Open World Image Retrieval using ViT CLIP.

Marcos V. Conde, Ivan Aerlic, Simon Jégou

CoRR, 2022

2021

Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images.

Kathryn Schutte, Olivier Moindrot, Paul Hérent, Jean-Baptiste Schiratti, Simon Jégou

CoRR, 2021

Self-supervised learning improves dMMR/MSI detection from histology slides across multiple cancers.

Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2018

ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors.

Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib

CoRR, 2018

2017

Image Segmentation by Iterative Inference from Conditional Score Estimation.

Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio

CoRR, 2017

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation.

Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017