A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. - Ezequiel de la Rosa; Diana Maria Sima; Thijs Vande Vyvere; Jan S. Kirschke; Björn H. Menze (ISBI, 2019)

Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. - Maria Inês Meyer; Ezequiel de la Rosa; Koen Van Leemput; Diana Maria Sima (OR/MLCN@MICCAI, 2019)

Unsupervised 3D Brain Anomaly Detection. - Jaime Simarro Viana; Ezequiel de la Rosa; Thijs Vande Vyvere; David Robben; Diana Maria Sima (BrainLes@MICCAI (1), 2020)

Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning. - Axel Aguerreberry; Ezequiel de la Rosa; Alain Lalande; Elmer Fernandez (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Differentiable Deconvolution for Improved Stroke Perfusion Analysis. - Ezequiel de la Rosa; David Robben; Diana Maria Sima; Jan S. Kirschke; Bjoern H. Menze (MICCAI (7), 2020)

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI. - Alain Lalande; Zhihao Chen 005; Thomas Decourselle; Abdul Qayyum; Thibaut Pommier; Luc Lorgis; Ezequiel de la Rosa; Alexandre Cochet; Yves Cottin; Dominique Ginhac; Michel Salomon; Raphaël Couturier; et al. (Data, 2020)

An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. - Maria Inês Meyer; Ezequiel de la Rosa; Nuno Pedrosa de Barros; Roberto Paolella; Koen Van Leemput; Diana Maria Sima (ISBI, 2021)

Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks. - Ezequiel de la Rosa; Désiré Sidibé; Thomas Decourselle; Thibault Leclercq; Alexandre Cochet; Alain Lalande (Algorithms, 2021)

AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. - Ezequiel de la Rosa; Diana Maria Sima; Bjoern H. Menze; Jan S. Kirschke; David Robben (Medical Image Anal., 2021)

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. - Florian Kofler; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Ezequiel de la Rosa; John LaMaster; Hongwei Li 004; Tom Finck; Suprosanna Shit; Johannes C. Paetzold; Spyridon Bakas; Marie Piraud; et al. (BrainLes@MICCAI, 2022)

Knowledge-Guided Segmentation of Isointense Infant Brain. - Jana Vujadinovic; Jaime Simarro Viana; Ezequiel de la Rosa; Els Ortibus; Diana Maria Sima (PIPPI@MICCAI, 2022)

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. - Moritz Roman Hernandez Petzsche; Ezequiel de la Rosa; Uta Hanning; Roland Wiest; Waldo Enrique Valenzuela Pinilla; Mauricio Reyes 001; Maria Inês Meyer; Sook-Lei Liew; Florian Kofler; Ivan Ezhov; David Robben; Alexandre Hutton; et al. (CoRR, 2022)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps. - Florian Kofler; Hendrik Kristian Möller; Josef A. Buchner; Ezequiel de la Rosa; Ivan Ezhov; Marcel Rosier; Isra Mekki; Suprosanna Shit; Moritz Negwer; Rami Al-Maskari; Ali Ertürk; Shankeeth Vinayahalingam; et al. (CoRR, 2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. - Ezequiel de la Rosa; Ruisheng Su; Mauricio Reyes 001; Roland Wiest; Evamaria Olga Riedel; Florian Kofler; Kaiyuan Yang 003; Hakim Baazaoui; David Robben; Susanne Wegener; Jan S. Kirschke; Benedikt Wiestler; et al. (CoRR, 2024)

ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. - Evamaria Olga Riedel; Ezequiel de la Rosa; The Anh Baran; Moritz Roman Hernandez Petzsche; Hakim Baazaoui; Kaiyuan Yang 003; David Robben; Joaquin Oscar Seia; Roland Wiest; Mauricio Reyes 001; Ruisheng Su; Claus Zimmer; et al. (CoRR, 2024)

A Self-Supervised Model for Multi-modal Stroke Risk Prediction. - Camille Delgrange; Olga V. Demler; Samia Mora; Bjoern H. Menze; Ezequiel de la Rosa; Neda Davoudi (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint. - Hakim Baazaoui; Stefan T. Engelter; Henrik Gensicke; Lukas S. Enz; Marios Psychogios; Matthias Mutke; Patrik Michel; Davide Strambo; Alexander Salerno; Henk A. Marquering; Paul H. J. Nederkoorn; Nabila Wali; et al. (Frontiers Neuroinformatics, 2024)

Machine Learning Characterization of Vascular Functions in Stroke Perfusion Imaging (Charakterisierung vaskulärer Funktionen in der Schlaganfall-Perfusionsbildgebung mittels maschinellem Lernen) - Ezequiel de la Rosa (2024)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

Outcome prediction and individualized treatment effect estimation in patients with large vessel occlusion stroke. - Lisa Herzog; Pascal Bühler; Ezequiel de la Rosa; Beate Sick; Susanne Wegener (CoRR, 2025)

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Hendrik Kristian Möller; Isra Mekki; Josef A. Buchner; Anton Schmick; Arianna Pfiffer; Eva Oswald; Lucas Zimmer; Ezequiel de la Rosa; Sarthak Pati; et al. (CoRR, 2025)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. - Murong Xu; Tamaz Amiranashvili; Fernando Navarro; Maksym Fritsak; Ibrahim Ethem Hamamci; Suprosanna Shit; Bastian Wittmann; Sezgin Er; Sebastian M. Christ; Ezequiel de la Rosa; Julian Deseoe; Robert Graf; et al. (CoRR, 2025)