| 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 | 1269 | 2018 |
| A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study R Sun, EJ Limkin, M Vakalopoulou, L Dercle, S Champiat, SR Han, ... The Lancet Oncology 19 (9), 1180-1191, 2018 | 701 | 2018 |
| Building detection in very high resolution multispectral data with deep learning features M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios 2015 IEEE international geoscience and remote sensing symposium (IGARSS …, 2015 | 315 | 2015 |
| 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 | 134* | 2021 |
| 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), 1-15, 2020 | 115 | 2020 |
| Demystification of AI-driven medical image interpretation: past, present and future P Savadjiev, J Chong, A Dohan, M Vakalopoulou, C Reinhold, ... European radiology 29, 1616-1624, 2019 | 112 | 2019 |
| Artificial intelligence applications for thoracic imaging G Chassagnon, M Vakalopoulou, N Paragios, MP Revel European journal of radiology 123, 108774, 2020 | 107 | 2020 |
| Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data M Papadomanolaki, S Verma, M Vakalopoulou, S Gupta, K Karantzalos IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 91 | 2019 |
| Multitemporal very high resolution from space: Outcome of the 2016 IEEE GRSS data fusion contest L Mou, X Zhu, M Vakalopoulou, K Karantzalos, N Paragios, B Le Saux, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 72 | 2017 |
| Benchmarking deep learning frameworks for the classification of very high resolution satellite multispectral data M Papadomanolaki, M Vakalopoulou, S Zagoruyko, K Karantzalos ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 69 | 2016 |
| Atlasnet: Multi-atlas non-linear deep networks for medical image segmentation M Vakalopoulou, G Chassagnon, N Bus, R Marini, EI Zacharaki, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 57 | 2018 |
| Deep learning: definition and perspectives for thoracic imaging G Chassagnon, M Vakalopolou, N Paragios, MP Revel European radiology 30, 2021-2030, 2020 | 56 | 2020 |
| 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 | 55 | 2020 |
| Linear and deformable image registration with 3d convolutional neural networks C Stergios, S Mihir, V Maria, C Guillaume, R Marie-Pierre, M Stavroula, ... Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018 | 48 | 2018 |
| 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 | 45 | 2019 |
| A novel object-based deep learning framework for semantic segmentation of very high-resolution remote sensing data: Comparison with convolutional and fully convolutional networks M Papadomanolaki, M Vakalopoulou, K Karantzalos Remote Sensing 11 (6), 684, 2019 | 44 | 2019 |
| 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, 2022 | 43 | 2022 |
| Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 42 | 2015 |
| A deep multitask learning framework coupling semantic segmentation and fully convolutional LSTM networks for urban change detection M Papadomanolaki, M Vakalopoulou, K Karantzalos IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7651-7668, 2021 | 39 | 2021 |
| Self-supervised nuclei segmentation in histopathological images using attention M Sahasrabudhe, S Christodoulidis, R Salgado, S Michiels, S Loi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
