Paul Desbordes

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier

Paul Desbordes, Su Ruan, Romain Modzelewski et al. · Computerized Medical Imaging and Graphics · 2016 · 129 citations

Oncology, Esophageal Cancer, Medicine +10

Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma

Mathieu Nessim Toledano, Paul Desbordes, Ayman Abdulhakim Banjar et al. · European Journal of Nuclear Medicine and Molecular Imaging · 2018 · 93 citations

Lymphoid Neoplasia, Oncologic Imaging, Gene Expression Profile +8

Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier

Paul Desbordes, Su Ruan, Romain Modzelewski et al. · PLoS ONE · 2017 · 46 citations · Full text

Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)

Sébastien Lugan, Paul Desbordes, Eliott Brion et al. · IEEE Access · 2019 · 37 citations · Full text

Blockchain Consensus Protocol, Convolutional Neural Network, Engineering +20

Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma

Pierre Decazes, Stéphanie Becker, Mathieu Nessim Toledano et al. · European Journal of Nuclear Medicine and Molecular Imaging · 2018 · 32 citations

Positron Emission Tomography, 18F-fdg Pet/ct, Lymphoid Neoplasia +10