Artificial intelligence and machine learning for medical imaging: A technology review A Barragán-Montero, U Javaid, G Valdés, D Nguyen, P Desbordes, ... Physica Medica 83, 242-256, 2021 | 350 | 2021 |
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier D Paul, R Su, M Romain, V Sébastien, V Pierre, G Isabelle Computerized Medical Imaging and Graphics 60, 42-49, 2017 | 139 | 2017 |
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 MN Toledano, P Desbordes, A Banjar, I Gardin, P Vera, P Ruminy, ... European Journal of Nuclear Medicine and Molecular Imaging 45, 680-688, 2018 | 92 | 2018 |
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 P Desbordes, S Ruan, R Modzelewski, P Pineau, S Vauclin, P Gouel, ... PLoS One 12 (3), e0173208, 2017 | 55 | 2017 |
Secure architectures implementing trusted coalitions for blockchained distributed learning (TCLearn) S Lugan, P Desbordes, E Brion, LXR Tormo, A Legay, B Macq Ieee Access 7, 181789-181799, 2019 | 46 | 2019 |
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 P Decazes, S Becker, MN Toledano, P Vera, P Desbordes, F Jardin, ... European journal of nuclear medicine and molecular imaging 45, 1672-1679, 2018 | 34 | 2018 |
Cross-domain data augmentation for deep-learning-based male pelvic organ segmentation in cone beam CT J Léger, E Brion, P Desbordes, C De Vleeschouwer, JA Lee, B Macq Applied Sciences 10 (3), 1154, 2020 | 32 | 2020 |
3D automated lymphoma segmentation in PET images based on cellular automata P Desbordes, C Petitjean, S Ruan 2014 4th International Conference on Image Processing Theory, Tools and …, 2014 | 25 | 2014 |
Reinforcement learning for radiotherapy dose fractioning automation G Moreau, V François-Lavet, P Desbordes, B Macq Biomedicines 9 (2), 214, 2021 | 22 | 2021 |
Segmentation of lymphoma tumor in PET images using cellular automata: a preliminary study P Desbordes, C Petitjean, S Ruan IRBM 37 (1), 3-10, 2016 | 8 | 2016 |
Predicting total lung capacity from spirometry: a machine learning approach L Beverin, M Topalovic, A Halilovic, P Desbordes, W Janssens, M De Vos Frontiers in Medicine 10, 1174631, 2023 | 5 | 2023 |
Implications of the new ERS/ATS standards on the interpretation of lung function tests P Desbordes, M De Vos, J Maes, F de Jongh, K Sylvester, CF Vogelmeier, ... European Respiratory Journal 61 (3), 2023 | 5 | 2023 |
Predictive value of dosimetry indices for treatment response in liver cancer patients treated with yttrium 90 microspheres using a random forest algorithm I Gardin, M Fdhila, P Desbordes, J Smadja, R Lebtahi, A Dieudonne Journal of Nuclear Medicine 58 (supplement 1), 197-197, 2017 | 5 | 2017 |
Sébastien. V., pierre, V., and Isabelle V. 2017. Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier D Paul, R Su, M Romain Computerized Medical Imaging and Graphics 60, 42-49, 2017 | 5 | 2017 |
Insights into spirometry usage and the potential for AI-based decision support software in Belgian primary care M De Vos, J Maes, K Van Orshoven, P Desbordes, V Vanheule, ... European Respiratory Journal 62 (suppl 67), 2023 | 2 | 2023 |
Lee John A BM Ana, J Umair, V Gilmer, N Dan, D Paul, M Benoit, W Siri, V Liesbeth, ... Artificial intelligence and machine learning for medical imaging: A …, 2021 | 2 | 2021 |
Méthode de sélection de caractéristiques pronostiques et prédictives basée sur les forêts aléatoires pour le suivi thérapeutique des lésions tumorales par imagerie … P Desbordes Normandie Université, 2017 | 2 | 2017 |
AI models for respiratory diseases from spirometry alone: validation based on UK Biobank A Elmahy, J Maes, P Desbordes, M De Vos, M Topalovic European Respiratory Journal 62 (suppl 67), 2023 | 1 | 2023 |
AI Over-reading Based on ATS/ERS 2019 Criteria Is a Reliable Option for Instant Spirometry Quality Control in Clinical Trials B Cuyvers, P Desbordes, E Topole, S Biondaro, I Montagna, S Corre, ... B70. INHALE THE FUTURE: NEW FINDINGS IN PULMONARY FUNCTION, A4064-A4064, 2023 | 1 | 2023 |
Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer P Desbordes, B Macq arXiv preprint arXiv:2012.12652, 2020 | 1 | 2020 |