| Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics A Carré, G Klausner, M Edjlali, M Lerousseau, J Briend-Diop, R Sun, ... Scientific reports 10 (1), 12340, 2020 | 233 | 2020 |
| Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution T Henry, A Carré, M Lerousseau, T Estienne, C Robert, N Paragios, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 143 | 2021 |
| Weakly supervised multiple instance learning histopathological tumor segmentation M Lerousseau, M Vakalopoulou, M Classe, J Adam, E Battistella, A Carré, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 112 | 2020 |
| The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features EJ Limkin, S Reuzé, A Carré, R Sun, A Schernberg, A Alexis, E Deutsch, ... Scientific reports 9 (1), 4329, 2019 | 102 | 2019 |
| U-ReSNet: ultimate coupling of registration and segmentation with deep nets T Estienne, M Vakalopoulou, S Christodoulidis, E Battistela, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 73 | 2019 |
| Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells R Sun, N Sundahl, M Hecht, F Putz, A Lancia, A Rouyar, M Milic, A Carré, ... Journal for Immunotherapy of Cancer 8 (2), e001429, 2020 | 72 | 2020 |
| Deep learning-based concurrent brain registration and tumor segmentation T Estienne, M Lerousseau, M Vakalopoulou, E Alvarez Andres, ... Frontiers in computational neuroscience 14, 17, 2020 | 56 | 2020 |
| Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives L Dercle, T Henry, A Carré, N Paragios, E Deutsch, C Robert Methods 188, 44-60, 2021 | 46 | 2021 |
| Dosimetry-driven quality measure of brain pseudo computed tomography generated from deep learning for MRI-only radiation therapy treatment planning EA Andres, L Fidon, M Vakalopoulou, M Lerousseau, A Carré, R Sun, ... International Journal of Radiation Oncology* Biology* Physics 108 (3), 813-823, 2020 | 39 | 2020 |
| Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy? R Sun, T Henry, A Laville, A Carré, A Hamaoui, S Bockel, I Chaffai, A Levy, ... Journal for Immunotherapy of Cancer 10 (7), e004848, 2022 | 27 | 2022 |
| Development of a machine learning classifier based on radiomic features extracted from post-contrast 3D T1-weighted MR images to distinguish glioblastoma from solitary brain … A de Causans, A Carré, A Roux, A Tauziède-Espariat, S Ammari, ... Frontiers in Oncology 11, 638262, 2021 | 25 | 2021 |
| Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients … R Sun, M Lerousseau, J Briend-Diop, E Routier, S Roy, T Henry, K Ka, ... Journal for ImmunoTherapy of Cancer 10 (10), e004867, 2022 | 24 | 2022 |
| Deep learning based registration using spatial gradients and noisy segmentation labels T Estienne, M Vakalopoulou, E Battistella, A Carré, T Henry, ... Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 15 | 2021 |
| Martel AL, et al., et al M Lerousseau, M Vakalopoulou, M Classe, J Adam, E Battistella, A Carré, ... Weakly supervised multiple instance learning histopathological tumor …, 2020 | 15 | 2020 |
| AutoComBat: a generic method for harmonizing MRI-based radiomic features A Carré, E Battistella, S Niyoteka, R Sun, E Deutsch, C Robert Scientific Reports 12 (1), 12762, 2022 | 10 | 2022 |
| Improving radiotherapy workflow through implementation of delineation guidelines & AI-based annotation M Ung, A Rouyar-Nicolas, E Limkin, C Petit, T Sarrade, A Carre, G Auzac, ... Int J Radiat Oncol Biol Phys 108 (3), e315, 2020 | 10 | 2020 |
| Intelligence artificielle en radiothérapie: radiomique, pathomique, et prédiction de la survie et de la réponse aux traitements R Sun, M Lerousseau, T Henry, A Carré, A Leroy, T Estienne, S Niyoteka, ... Cancer/Radiothérapie 25 (6-7), 630-637, 2021 | 8 | 2021 |
| Deep-learning for rapid estimation of the out-of-field dose in external beam photon radiation therapy–a proof of concept N Benzazon, A Carré, F de Kermenguy, S Niyoteka, P Maury, J Colnot, ... International Journal of Radiation Oncology* Biology* Physics 120 (1), 253-264, 2024 | 5 | 2024 |
| A common [18F]-FDG PET radiomic signature to predict survival in patients with HPV-induced cancers S Niyoteka, RD Seban, R Rouhi, A Scarsbrook, C Genestie, M Classe, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (13), 4010-4023, 2023 | 5 | 2023 |
| Automatic brain tumor segmentation with a bridge-unet deeply supervised enhanced with downsampling pooling combination, atrous spatial pyramid pooling, squeeze-and-excitation … A Carré, E Deutsch, C Robert International MICCAI Brainlesion Workshop, 253-266, 2021 | 4 | 2021 |
