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Ezequiel de la Rosa
Ezequiel de la Rosa
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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
1242022
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
1162022
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
812020
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
452021
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, ...
Biomedical Engineering/Biomedizinische Technik, 2024
262024
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
242020
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
232021
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
212020
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, arXiv: 2312.17670 v3, 2024
202024
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
202021
Early detection of chronic asymptomatic chagas infection
E de la Rosa, P Paglini-Oliva, LB Prato, E Benizio, MF Triquell, SE Muñoz, ...
Medical science monitor: international medical journal of experimental and …, 2018
202018
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
192023
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
162021
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
132021
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
102019
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
82020
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
62019
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-) acute stroke
EO Riedel, E de la Rosa, TA Baran, MH Petzsche, H Baazaoui, K Yang, ...
arXiv preprint arXiv:2408.11142, 2024
52024
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data
E de la Rosa, R Su, M Reyes, R Wiest, EO Riedel, F Kofler, K Yang, ...
arXiv preprint arXiv:2408.10966, 2024
52024
A robust ensemble algorithm for ischemic stroke lesion segmentation: Generalizability and clinical utility beyond the isles challenge
E de la Rosa, M Reyes, SL Liew, A Hutton, R Wiest, J Kaesmacher, ...
arXiv preprint arXiv:2403.19425, 2024
52024
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