Simon Jégou

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

Simon Jégou, Michal Drozdzal, David Vázquez et al. · 2017 · 1.7K citations

Convolutional Neural Network, Scene Analysis, Engineering +18

Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients

Nathalie Lassau, Samy Ammari, Émilie Chouzenoux et al. · Nature Communications · 2021 · 177 citations · Full text

Diagnosis of focal liver lesions from ultrasound using deep learning

Benoît Schmauch, Paul Hérent, Paul Jehanno et al. · Diagnostic and Interventional Imaging · 2019 · 159 citations

Engineering, Hepatology, Medical Imaging +13

Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.

Paul Blanc‐Durand, Simon Jégou, Salim Kanoun et al. · European Journal of Nuclear Medicine and Molecular Imaging · 2020 · 132 citations

Convolutional Neural Network, Medical Image Segmentation, Image Analysis +12

Detection and characterization of MRI breast lesions using deep learning

Paul Hérent, Benoît Schmauch, Paul Jehanno et al. · Diagnostic and Interventional Imaging · 2019 · 112 citations

Image Analysis, Machine Learning, Medical Imaging +11