| Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021 | 147 | 2021 |
| Radiomics: A primer for the radiation oncologist JE Bibault, L Xing, P Giraud, R El Ayachy, N Giraud, P Decazes, A Burgun Cancer/Radiothérapie 24 (5), 403-410, 2020 | 63 | 2020 |
| Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment YS Lee, N Hong, JN Witanto, YR Choi, J Park, P Decazes, F Eude, ... Clinical Nutrition 40 (8), 5038-5046, 2021 | 60 | 2021 |
| Targeted genotyping of circulating tumor DNA for classical Hodgkin lymphoma monitoring: a prospective study V Camus, M Viennot, J Lequesne, PJ Viailly, E Bohers, L Bessi, B Marcq, ... Haematologica 106 (1), 154, 2021 | 60 | 2021 |
| Immunotherapy by immune checkpoint inhibitors and nuclear medicine imaging: current and future applications P Decazes, P Bohn Cancers 12 (2), 371, 2020 | 58 | 2020 |
| Sub-cutaneous Fat Mass measured on multislice computed tomography of pretreatment PET/CT is a prognostic factor of stage IV non-small cell lung cancer treated by nivolumab G Popinat, S Cousse, L Goldfarb, S Becker, I Gardin, M Salaün, ... Oncoimmunology 8 (5), e1580128, 2019 | 47 | 2019 |
| 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 | 46 | 2019 |
| Trimodality PET/CT/MRI and radiotherapy: a mini-review P Decazes, P Hinault, O Veresezan, S Thureau, P Gouel, P Vera Frontiers in oncology 10, 614008, 2021 | 43 | 2021 |
| Radiotherapy boost in patients with hypoxic lesions identified by 18F-FMISO PET/CT in non-small-cell lung carcinoma: can we expect a better survival outcome … P Vera, SD Mihailescu, J Lequesne, R Modzelewski, P Bohn, S Hapdey, ... European Journal of Nuclear Medicine and Molecular Imaging 46, 1448-1456, 2019 | 40 | 2019 |
| Semi-automatic lymphoma detection and segmentation using fully conditional random fields Y Yu, P Decazes, J Lapuyade-Lahorgue, I Gardin, P Vera, S Ruan Computerized Medical Imaging and Graphics 70, 1-7, 2018 | 38 | 2018 |
| The phenotypical core of Alzheimer's disease-related and nonrelated variants of the corticobasal syndrome: a systematic clinical, neuropsychological, imaging, and biomarker study F Di Stefano, A Kas, MO Habert, P Decazes, F Lamari, S Lista, H Hampel, ... Alzheimer's & Dementia 12 (7), 786-795, 2016 | 38 | 2016 |
| AI-based detection, classification and prediction/prognosis in medical imaging: towards radiophenomics F Yousefirizi, P Decazes, A Amyar, S Ruan, B Saboury, A Rahmim PET clinics 17 (1), 183-212, 2022 | 32 | 2022 |
| Evaluation of an automatic classification algorithm using convolutional neural networks in oncological positron emission tomography P Pinochet, F Eude, S Becker, V Shah, L Sibille, MN Toledano, ... Frontiers in Medicine 8, 628179, 2021 | 28 | 2021 |
| 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 | 25 | 2018 |
| Prognostic value of sarcopenia in patients treated by Radiochemotherapy for locally advanced oesophageal cancer R Mallet, R Modzelewski, J Lequesne, S Mihailescu, P Decazes, ... Radiation Oncology 15, 1-9, 2020 | 24 | 2020 |
| Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy H Hu, P Decazes, P Vera, H Li, S Ruan International journal of computer assisted radiology and surgery 14, 1715-1724, 2019 | 24 | 2019 |
| Lymphoma segmentation from 3D PET-CT images using a deep evidential network L Huang, S Ruan, P Decazes, T Denœux International Journal of Approximate Reasoning 149, 39-60, 2022 | 23 | 2022 |
| Outcomes after first-line immunochemotherapy for primary mediastinal B-cell lymphoma: a LYSA study V Camus, C Rossi, P Sesques, J Lequesne, D Tonnelet, C Haioun, ... Blood advances 5 (19), 3862-3872, 2021 | 23 | 2021 |
| Anthropometer3D: automatic multi-slice segmentation software for the measurement of anthropometric parameters from CT of PET/CT P Decazes, D Tonnelet, P Vera, I Gardin Journal of digital imaging 32 (2), 241-250, 2019 | 22 | 2019 |
| Radiomics-net: Convolutional neural networks on FDG PET images for predicting cancer treatment response A Amyar, S Ruan, I Gardin, R Herault, C Clement, P Decazes, ... Journal of Nuclear Medicine 59 (supplement 1), 324-324, 2018 | 19 | 2018 |
