| ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset MR Hernandez Petzsche, E de la Rosa, U Hanning, R Wiest, ... Scientific data 9 (1), 1-9, 2022 | 93 | 2022 |
| A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms SL Liew, BP Lo, MR Donnelly, A Zavaliangos-Petropulu, JN Jeong, ... Scientific data 9 (1), 320, 2022 | 93 | 2022 |
| Emidec: a database usable for the automatic evaluation of myocardial infarction from delayed-enhancement cardiac MRI A Lalande, Z Chen, T Decourselle, A Qayyum, T Pommier, L Lorgis, ... Data 5 (4), 89, 2020 | 76 | 2020 |
| icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions M Rakić, S Vercruyssen, S Van Eyndhoven, E de la Rosa, S Jain, ... NeuroImage: Clinical 31, 102707, 2021 | 42 | 2021 |
| Unsupervised 3d brain anomaly detection J Simarro Viana, E de la Rosa, T Vande Vyvere, D Robben, DM Sima, ... International MICCAI Brainlesion Workshop, 133-142, 2020 | 23 | 2020 |
| MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... arXiv preprint arXiv:2308.16139, 2023 | 20 | 2023 |
| A contrast augmentation approach to improve multi-scanner generalization in MRI MI Meyer, E de la Rosa, N Pedrosa de Barros, R Paolella, K Van Leemput, ... Frontiers in neuroscience 15, 708196, 2021 | 20 | 2021 |
| Myocardial infarction quantification from late gadolinium enhancement MRI using top-hat transforms and neural networks E de La Rosa, D Sidibé, T Decourselle, T Leclercq, A Cochet, A Lalande Algorithms 14 (8), 249, 2021 | 20 | 2021 |
| Prognostic validation of the NINDS common data elements for the radiologic reporting of acute traumatic brain injuries: a CENTER-TBI study T Vande Vyvere, E De La Rosa, G Wilms, D Nieboer, E Steyerberg, ... Journal of neurotrauma 37 (11), 1269-1282, 2020 | 19 | 2020 |
| Early detection of chronic asymptomatic chagas infection E de la Rosa, P Paglini Oliva, LB Prato, MF Triquell, EL Benizio, ... Int Scientific Literature, Inc, 2018 | 19 | 2018 |
| AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning E de la Rosa, DM Sima, B Menze, JS Kirschke, D Robben Medical Image Analysis 74, 102211, 2021 | 15 | 2021 |
| Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... ArXiv, 2023 | 13 | 2023 |
| The brain tumor segmentation (brats) challenge 2023: Local synthesis of healthy brain tissue via inpainting F Kofler, F Meissen, F Steinbauer, R Graf, E Oswald, E de da Rosa, HB Li, ... arXiv preprint arXiv:2305.08992, 2023 | 12 | 2023 |
| Diagnostic performance of automated MRI volumetry by icobrain dm for Alzheimer’s disease in a clinical setting: a REMEMBER study MMJ Wittens, DM Sima, R Houbrechts, A Ribbens, E Niemantsverdriet, ... Journal of Alzheimer's Disease 83 (2), 623-639, 2021 | 12 | 2021 |
| A radiomics approach to traumatic brain injury prediction in CT scans E de la Rosa, DM Sima, TV Vyvere, JS Kirschke, B Menze 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 10 | 2019 |
| Differentiable deconvolution for improved stroke perfusion analysis E de la Rosa, D Robben, DM Sima, JS Kirschke, B Menze Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 7 | 2020 |
| Relevance vector machines for harmonization of MRI brain volumes using image descriptors MI Meyer, E de la Rosa, K Van Leemput, DM Sima International Workshop on OR 2.0 Context-Aware Operating Theaters, 77-85, 2019 | 6 | 2019 |
| C.-T. P. a. Investigators. Unsupervised 3d brain anomaly detection JS Viana, E de la Rosa, TV Vyvere, D Robben, DM Sima MICCAI Brainlesion Workshop, 133-142, 2021 | 5 | 2021 |
| Panoptica--instance-wise evaluation of 3D semantic and instance segmentation maps F Kofler, H Möller, JA Buchner, E de la Rosa, I Ezhov, M Rosier, I Mekki, ... arXiv preprint arXiv:2312.02608, 2023 | 4 | 2023 |
| Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions E de la Rosa, DM Sima, JS Kirschke, B Menze, D Robben PloS one 18 (3), e0283610, 2023 | 4 | 2023 |
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