| 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 | 1793 | 2018 |
| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 269 | 2019 |
| Multi-dimensional gated recurrent units for the segmentation of biomedical 3D-data S Andermatt, S Pezold, P Cattin Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 133 | 2016 |
| Identifying the best machine learning algorithms for brain tumor segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... progression assessment, and overall survival prediction in the BRATS …, 2018 | 115 | 2018 |
| AirLab: autograd image registration laboratory R Sandkühler, C Jud, S Andermatt, PC Cattin arXiv preprint arXiv:1806.09907, 2018 | 68 | 2018 |
| Automated segmentation of multiple sclerosis lesions using multi-dimensional gated recurrent units S Andermatt, S Pezold, PC Cattin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 68 | 2018 |
| Pathology segmentation using distributional differences to images of healthy origin S Andermatt, A Horváth, S Pezold, P Cattin Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 38 | 2019 |
| Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases L Sander, S Pezold, S Andermatt, M Amann, D Meier, MJ Wendebourg, ... Human brain mapping 40 (14), 4091-4104, 2019 | 27 | 2019 |
| The impact of segmentation on whole‐lung functional MRI quantification: repeatability and reproducibility from multiple human observers and an artificial neural network C Willers, G Bauman, S Andermatt, F Santini, R Sandkühler, KA Ramsey, ... Magnetic resonance in medicine 85 (2), 1079-1092, 2021 | 20 | 2021 |
| Recurrent registration neural networks for deformable image registration R Sandkühler, S Andermatt, G Bauman, S Nyilas, C Jud, PC Cattin Advances in Neural Information Processing Systems 32, 2019 | 20 | 2019 |
| Multi-dimensional gated recurrent units for automated anatomical landmark localization S Andermatt, S Pezold, M Amann, PC Cattin arXiv preprint arXiv:1708.02766, 2017 | 13 | 2017 |
| Multi-dimensional gated recurrent units for brain tumor segmentation S Andermatt, S Pezold, P Cattin International MICCAI BraTS Challenge. Pre-Conference Proceedings, 15-19, 2017 | 13 | 2017 |
| Spinal cord gray matter-white matter segmentation on magnetic resonance AMIRA images with MD-GRU A Horváth, C Tsagkas, S Andermatt, S Pezold, K Parmar, P Cattin Computational Methods and Clinical Applications for Spine Imaging: 5th …, 2019 | 12 | 2019 |
| Tracking the Evolution of Cerebral Gadolinium‐Enhancing Lesions to Persistent T1 Black Holes in Multiple Sclerosis: Validation of a Semiautomated Pipeline S Andermatt, A Papadopoulou, EW Radue, T Sprenger, P Cattin Journal of Neuroimaging 27 (5), 469-475, 2017 | 8 | 2017 |
| Deep learning lung segmentation in paediatric patients O Pusterla, S Andermatt, G Bauman, S Nyilas, P Madörin, T Haas, ... Proceedings of the 26th Annual Meeting of ISMRM, Paris, France, 4355, 2018 | 5 | 2018 |
| MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets O Pusterla, R Heule, F Santini, T Weikert, C Willers, S Andermatt, ... Magnetic resonance in medicine 88 (1), 391-405, 2022 | 4 | 2022 |
| Automated brain lesion segmentation in magnetic resonance images S Andermatt University_of_Basel, 2018 | 3 | 2018 |
| Inter-reader variation in lung segmentation of functional lung MRI quantification CC Willers, O Pusterla, G Bauman, S Andermatt, S Nyilas, F Santini, ... European Respiratory Journal 54 (suppl 63), 2019 | 2 | 2019 |
| Multi-dimensional gated recurrent units for the segmentation of white matter hyperintensites S Andermatt, S Pezold, P Cattin Tech. Rep., 2018.[Online]. Available: https://wmh. isi. uu. nl/wpcontent …, 2018 | 2 | 2018 |
| New or enlarging T2 weighted lesions in the white matter near to the ventricle wall and thalamic atrophy are independently associated with lateral ventricular enlargement in … T Sinnecker, E Ruberte, S Schadelin, V Canova, M Amann, Y Naegelin, ... MULTIPLE SCLEROSIS JOURNAL 25, 700-701, 2019 | 1 | 2019 |
