Ezequiel de la Rosa

According to our database, Ezequiel de la Rosa authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

PhD thesis, 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, David Robben, Joaquin Oscar Seia, Roland Wiest, Mauricio Reyes, Ruisheng Su, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Bjoern H. Menze, Benedikt Wiestler, Susanne Wegener, Jan S. Kirschke

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, Roland Wiest, Evamaria Olga Riedel, Florian Kofler, Kaiyuan Yang, Hakim Baazaoui, David Robben, Susanne Wegener, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze

CoRR, 2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler

CoRR, 2024

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, Fabian Isensee, Sarthak Pati, Daniel Rueckert, Jan S. Kirschke, Stefan K. Ehrlich, Annika Reinke, Bjoern H. Menze, Benedikt Wiestler, Marie Piraud

CoRR, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.

CoRR, 2023

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, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze

CoRR, 2023

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, Maria Inês Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexandre Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern H. Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke

CoRR, 2022

Knowledge-Guided Segmentation of Isointense Infant Brain.

Jana Vujadinovic, Jaime Simarro Viana, Ezequiel de la Rosa, Els Ortibus, Diana Maria Sima

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

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, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

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

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

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI.

Alain Lalande, Zhihao Chen, Thomas Decourselle, Abdul Qayyum, Thibaut Pommier, Luc Lorgis, Ezequiel de la Rosa, Alexandre Cochet, Yves Cottin, Dominique Ginhac, Michel Salomon, Raphaël Couturier, Fabrice Mériaudeau

Data, 2020

Differentiable Deconvolution for Improved Stroke Perfusion Analysis.

Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning.

Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande, Elmer Fernandez

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Unsupervised 3D Brain Anomaly Detection.

Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

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

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019