| 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 | 1774 | 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 | 181 | 2020 |
| AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia G Chassagnon, M Vakalopoulou, E Battistella, S Christodoulidis, ... Medical Image Analysis 67, 101860, 2021 | 140 | 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 | 86 | 2020 |
| 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 | 61 | 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), 2020 | 56 | 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 | 50 | 2020 |
| 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 | 43 | 2019 |
| AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia G Chassagnon, M Vakalopoulou, E Battistella, S Christodoulidis, ... arXiv preprint arXiv:2004.12852, 2020 | 33 | 2020 |
| 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 | 27 | 2020 |
| 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 | 27 | 2020 |
| Using chest computed tomography and unsupervised machine learning for predicting and evaluating response to lumacaftor–ivacaftor in people with cystic fibrosis A Campredon, E Battistella, C Martin, I Durieu, L Mely, C Marguet, ... European Respiratory Journal 59 (6), 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 | 12 | 2021 |
| Systematic screening of COVID-19 disease based on chest CT and RT-PCR for cancer patients undergoing radiation therapy in a coronavirus French hotspot R Sun, S Achkar, S Ammari, S Bockel, E Gallois, A Bayle, E Battistella, ... International Journal of Radiation Oncology* Biology* Physics 110 (4), 947-956, 2021 | 10 | 2021 |
| Holistic AI-Driven Quantification, Staging and Prognosis of COVID-19 Pneumonia G Chassagnon, M Vakalopoulou, E Battistella, S Christodoulidis, ... medRxiv, 2020 | 9 | 2020 |
| 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 | 8 | 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 | 7 | 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 | 6 | 2021 |
| 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 | 5 | 2022 |
| Context aware 3-d residual networks for brain tumor segmentation S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ... International MICCAI Brainlesion Workshop, 74-82, 2018 | 5 | 2018 |
Nikos ParagiosDistinguished professor, CentraleSupélec, Université Paris-SaclayVerified email at ecp.fr
