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2020 – today
- 2024
[j1]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:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024)- [i8]Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz, Simon Jégou:
Winning Amazon KDD Cup'24. CoRR abs/2408.04658 (2024) - 2023
- [i7]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 Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - 2022
- [i6]Marcos V. Conde, Ivan Aerlic, Simon Jégou:
General Image Descriptors for Open World Image Retrieval using ViT CLIP. CoRR abs/2210.11141 (2022) - 2021
- [c2]Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou:
Self-supervised learning improves dMMR/MSI detection from histology slides across multiple cancers. COMPAY@MICCAI 2021: 191-205 - [i5]Kathryn Schutte, Olivier Moindrot, Paul Hérent, Jean-Baptiste Schiratti, Simon Jégou:
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images. CoRR abs/2101.07563 (2021) - [i4]Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou:
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers. CoRR abs/2109.05819 (2021)
2010 – 2019
- 2018
- [i3]Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib:
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors. CoRR abs/1806.04449 (2018) - 2017
- [c1]Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops 2017: 1175-1183 - [i2]Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio:
Image Segmentation by Iterative Inference from Conditional Score Estimation. CoRR abs/1705.07450 (2017) - 2016
- [i1]Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR abs/1611.09326 (2016)
Coauthor Index
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