| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1900 | 2018 |
| 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 | 205 | 2020 |
| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 152 | 2022 |
| 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 | 115* | 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 | 95 | 2020 |
| U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets T Estienne, M Vakalopoulou, S Christodoulidis, E Battistella, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 65 | 2019 |
| 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 | 52 | 2020 |
| Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI N Lassau, T Estienne, P de Vomecourt, M Azoulay, J Cagnol, G Garcia, ... Diagnostic and interventional imaging 100 (4), 199-209, 2019 | 48 | 2019 |
| Context aware 3D CNNs for brain tumor segmentation S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 45 | 2019 |
| 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 | 32 | 2020 |
| 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 | 13 | 2021 |
| Investigation of radiomics based intra-patient inter-tumor heterogeneity and the impact of tumor subsampling strategies T Henry, R Sun, M Lerousseau, T Estienne, C Robert, B Besse, C Robert, ... Scientific Reports 12 (1), 17244, 2022 | 11 | 2022 |
| Weakly supervised pan-cancer segmentation tool M Lerousseau, M Classe, E Battistella, T Estienne, T Henry, A Leroy, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Gene expression high-dimensional clustering towards a novel, robust, clinically relevant and highly compact cancer signature E Battistella, M Vakalopoulou, T Estienne, M Lerousseau, R Sun, ... Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019 | 9 | 2019 |
| 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 | 7 | 2021 |
| Artificial intelligence radiographic analysis tool for total knee arthroplasty M Bonnin, F Müller-Fouarge, T Estienne, S Bekadar, C Pouchy, ... The Journal of Arthroplasty 38 (7), S199-S207. e2, 2023 | 4 | 2023 |
| MICS: Multi-steps, inverse consistency and symmetric deep learning registration network T Estienne, M Vakalopoulou, E Battistella, T Henry, M Lerousseau, ... arXiv preprint arXiv:2111.12123, 2021 | 4 | 2021 |
| Magnetic resonance imaging virtual histopathology from weakly paired data A Leroy, K Shreshtha, M Lerousseau, T Henry, T Estienne, M Classe, ... MICCAI Workshop on Computational Pathology, 140-150, 2021 | 3 | 2021 |
| Cancer gene profiling through unsupervised discovery E Battistella, M Vakalopoulou, R Sun, T Estienne, M Lerousseau, ... arXiv preprint arXiv:2102.07713, 2021 | 3 | 2021 |
| Combing: clustering in oncology for mathematical and biological identification of novel gene signatures E Battistella, M Vakalopoulou, R Sun, T Estienne, M Lerousseau, ... IEEE/ACM transactions on computational biology and bioinformatics 19 (6 …, 2021 | 2 | 2021 |
