| Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation A Amyar, R Modzelewski, H Li, S Ruan Computers in biology and medicine 126, 104037, 2020 | 431 | 2020 |
| Simultaneous positron emission tomography (PET) assessment of metabolism with 18F-fluoro-2-deoxy-d-glucose (FDG), proliferation with 18F-fluoro-thymidine (FLT), and hypoxia … P Vera, P Bohn, A Edet-Sanson, A Salles, S Hapdey, I Gardin, JF Ménard, ... Radiotherapy and Oncology 98 (1), 109-116, 2011 | 135 | 2011 |
| Sarcopenia is an independent prognostic factor in elderly patients with diffuse large B-cell lymphoma treated with immunochemotherapy H Lanic, J Kraut-Tauzia, R Modzelewski, F Clatot, S Mareschal, ... Leukemia & lymphoma 55 (4), 817-823, 2014 | 130 | 2014 |
| 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 | 122 | 2017 |
| Prognostic impact of fat tissue loss and cachexia assessed by computed tomography scan in elderly patients with diffuse large B‐cell lymphoma treated with immunochemotherapy V Camus, H Lanic, J Kraut, R Modzelewski, F Clatot, JM Picquenot, ... European Journal of Haematology 93 (1), 9-18, 2014 | 108 | 2014 |
| Phase II study of a radiotherapy total dose increase in hypoxic lesions identified by 18F-misonidazole PET/CT in patients with non–small cell lung carcinoma (RTEP5 study) P Vera, S Thureau, P Chaumet-Riffaud, R Modzelewski, P Bohn, ... Journal of Nuclear Medicine 58 (7), 1045-1053, 2017 | 71 | 2017 |
| Areas of high 18F-FDG uptake on preradiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for non–small cell lung cancer J Calais, S Thureau, B Dubray, R Modzelewski, L Thiberville, I Gardin, ... Journal of nuclear medicine 56 (2), 196-203, 2015 | 70 | 2015 |
| Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC) A Edet-Sanson, B Dubray, K Doyeux, A Back, S Hapdey, R Modzelewski, ... Radiotherapy and Oncology 102 (2), 251-257, 2012 | 66 | 2012 |
| Spotting L3 slice in CT scans using deep convolutional network and transfer learning S Belharbi, C Chatelain, R Hérault, S Adam, S Thureau, M Chastan, ... Computers in biology and medicine 87, 95-103, 2017 | 61 | 2017 |
| FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2) P Vera, S Mezzani-Saillard, A Edet-Sanson, JF Ménard, R Modzelewski, ... European journal of nuclear medicine and molecular imaging 41, 1057-1065, 2014 | 58 | 2014 |
| Pretreatment metabolic tumour volume is predictive of disease-free survival and overall survival in patients with oesophageal squamous cell carcinoma C Lemarignier, F Di Fiore, C Marre, S Hapdey, R Modzelewski, P Gouel, ... European journal of nuclear medicine and molecular imaging 41, 2008-2016, 2014 | 57 | 2014 |
| Does recombinant human thyrotropin-stimulated positron emission tomography with [18F] fluoro-2-deoxy-D-glucose improve detection of recurrence of well-differentiated thyroid … P Vera, C Kuhn-Lansoy, A Edet-Sanson, S Hapdey, R Modzelewski, ... Thyroid 20 (1), 15-23, 2010 | 56 | 2010 |
| Baseline total metabolic tumor volume measured with fixed or different adaptive thresholding methods equally predicts outcome in peripheral T cell lymphoma AS Cottereau, S Hapdey, L Chartier, R Modzelewski, O Casasnovas, E Itti, ... Journal of Nuclear Medicine 58 (2), 276-281, 2017 | 55 | 2017 |
| Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3′-deoxy-3′-18F-fluorothymidine PET images in lung cancer S Thureau, P Chaumet-Riffaud, R Modzelewski, P Fernandez, ... Journal of Nuclear Medicine 54 (9), 1543-1550, 2013 | 52 | 2013 |
| 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 | 48 | 2017 |
| Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation A Schaefer, M Vermandel, C Baillet, AS Dewalle-Vignion, R Modzelewski, ... European journal of nuclear medicine and molecular imaging 43, 911-924, 2016 | 44 | 2016 |
| 3-d rpet-net: development of a 3-d pet imaging convolutional neural network for radiomics analysis and outcome prediction A Amyar, S Ruan, I Gardin, C Chatelain, P Decazes, R Modzelewski IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 225-231, 2019 | 42 | 2019 |
| IODA: An input/output deep architecture for image labeling J Lerouge, R Hérault, C Chatelain, F Jardin, R Modzelewski Pattern Recognition 48 (9), 2847-2858, 2015 | 41 | 2015 |
| High FDG uptake areas on pre-radiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for locally advanced oesophageal cancer J Calais, B Dubray, L Nkhali, S Thureau, C Lemarignier, R Modzelewski, ... European journal of nuclear medicine and molecular imaging 42, 858-867, 2015 | 41 | 2015 |
| Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm DP Onoma, S Ruan, S Thureau, L Nkhali, R Modzelewski, GA Monnehan, ... Computerized Medical Imaging and Graphics 38 (8), 753-763, 2014 | 36 | 2014 |
Gardin IsabelleVerified email at chb.unicancer.fr
