Ezequiel de la Rosa

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All published works

Action	Title	Year	Authors
+ PDF Chat	Efficient MedSAMs: Segment Anything in Medical Images on Laptop	2024	Jun Ma Feifei Li Sumin Kim Reza Asakereh Bac Le Dang-Khoa Nguyen-Vu Alexander Pfefferle Mu-Xin Wei Ruochen Gao Donghang Lyu
+ PDF Chat	A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge	2024	Ezequiel de la Rosa Mauricio Reyes Sook‐Lei Liew A. Hutton Roland Wiest Johannes Kaesmacher Uta Hanning Arsany Hakim Richard Zubal Waldo Valenzuela
+ PDF Chat	A Self-Supervised Model for Multi-modal Stroke Risk Prediction	2024	Camille Delgrange Olga Demler Samia Mora Bjoern Menze Ezequiel de la Rosa Neda Davoudi
+ PDF Chat	ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data	2024	Ezequiel de la Rosa Ruisheng Su Mauricio Reyes Roland Wiest Evamaria Olga Riedel Florian Kofler Kaiyuan Yang Hakim Baazaoui David Robben Susanne Wegener
+ PDF Chat	ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke	2024	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
+ PDF Chat	Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings	2023	Florian Kofler Ivan Ezhov Lucas Fidon Izabela Horvath Ezequiel de la Rosa John LaMaster Hongwei Li Tom Finck Suprosanna Shit Johannes C. Paetzold
+	MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision	2023	Jianning Li Antonio Pepe Christina Gsaxner Gijs Luijten Yuan Jin Narmada Ambigapathy Enrico Nasca Naida Solak Gian Marco Melito Afaque Rafique Memon
+	Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps	2023	Florian Kofler Hendrik Möller Josef A. Buchner Ezequiel de la Rosa Ivan Ezhov Marcel Rosier Isra Mekki Suprosanna Shit Moritz Negwer Rami Al-Maskari
+	Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA	2023	Kaiyuan Yang Fabio Musio Yihui Ma Norman Juchler Johannes C. Paetzold Rami Al-Maskari Luciano Höher Hongwei Li İbrahim Ethem Hamamcı Anjany Sekuboyina
+ PDF Chat	ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset	2022	Moritz Roman Hernandez Petzsche Ezequiel de la Rosa Uta Hanning Roland Wiest Waldo Valenzuela Mauricio Reyes Maria Inês Meyer Sook‐Lei Liew Florian Kofler Ivan Ezhov
+	Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings	2022	Florian Kofler Ivan Ezhov Lucas Fidon Izabela Horvath Ezequiel de la Rosa John LaMaster Hongwei Li Tom Finck Suprosanna Shit Johannes C. Paetzold
+	ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset	2022	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
+ PDF Chat	Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks	2021	Ezequiel de la Rosa Désiré Sidibé Thomas Decourselle Thibault Leclercq Alexandre Cochet Alain Lalande
+	AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning	2021	Ezequiel de la Rosa Diana M. Sima Bjoern Menze Jan S. Kirschke David Robben
+ PDF Chat	An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI	2021	Maria Inês Meyer Ezequiel de la Rosa Nuno Pedrosa de Barros Roberto Paolella Koen Van Leemput Diana M. Sima
+	An augmentation strategy to mimic multi-scanner variability in MRI.	2021	Maria Inês Meyer Ezequiel de la Rosa Nuno Pedrosa de Barros Roberto Paolella Koen Van Leemput Diana M. Sima
+ PDF Chat	Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning	2021	Axel Aguerreberry Ezequiel de la Rosa Alain Lalande Elmer Fernández
+ PDF Chat	Unsupervised 3D Brain Anomaly Detection	2021	Jaime Simarro Viana Ezequiel de la Rosa Thijs Vande Vyvere David Robben Diana M. Sima CENTER-TBI Participants and Investigators
+	An augmentation strategy to mimic multi-scanner variability in MRI	2021	Maria Inês Meyer Ezequiel de la Rosa N. Barros Roberto Paolella Koen Van Leemput Diana M. Sima
+	AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning	2020	Ezequiel de la Rosa Diana M. Sima Bjoern Menze Jan S. Kirschke David Robben
+	Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning.	2020	Axel Aguerreberry Ezequiel de la Rosa Alain Lalande Elmer Fernández
+ PDF Chat	Differentiable Deconvolution for Improved Stroke Perfusion Analysis	2020	Ezequiel de la Rosa David Robben Diana M. Sima Jan S. Kirschke Bjoern Menze
+	Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning	2020	Axel Aguerreberry Ezequiel de la Rosa Alain Lalande Elmer A. Fernández
+ PDF Chat	A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans	2019	Ezequiel de la Rosa Diana M. Sima Thijs Vande Vyvere Jan S. Kirschke Bjoern Menze
+	Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks.	2019	Ezequiel de la Rosa Désiré Sidibé Thomas Decourselle Thibault Leclercq Alexandre Cochet Alain Lalande
+ PDF Chat	Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors	2019	Maria Inês Meyer Ezequiel de la Rosa Koen Van Leemput Diana M. Sima

Common Coauthors

Coauthor	Papers Together
Bjoern Menze	15
Jan S. Kirschke	12
Diana M. Sima	9
David Robben	9
Benedikt Wiestler	7
Ivan Ezhov	7
Mauricio Reyes	6
Roland Wiest	6
Maria Inês Meyer	6
Suprosanna Shit	5
Florian Kofler	5
Alain Lalande	5
Claus Zimmer	5
Koen Van Leemput	4
Moritz Roman Hernandez Petzsche	4
Hongwei Li	4
Florian Kofler	3
Marie Piraud	3
Uta Hanning	3
Roberto Paolella	3
Sook‐Lei Liew	3
Tobias Boeckh‐Behrens	3
Benedikt Wiestler	3
Maria Berndt	3
Gabriel Broocks	3
Tom Vercauteren	3
The Anh Baran	3
Susanne Wegener	3
Johannes C. Paetzold	3
Axel Aguerreberry	3
Hakim Baazaoui	3
Jan S. Kirschke	3
Daniel Rueckert	2
Xavier Lladó	2
Gijs Luijten	2
Tom Finck	2
Waldo Valenzuela	2
Izabela Horvath	2
Ruisheng Su	2
Nuno Pedrosa de Barros	2
Teresa Zarth	2
Spyridon Bakas	2
Désiré Sidibé	2
Tassilo Friedrich	2
Thomas Decourselle	2
Nicholas Heller	2
Christina Gsaxner	2
Lukas Meyer	2
Thibault Leclercq	2
Costantino Grana	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	3
+ PDF Chat	Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning	2019	David Robben Anna M.M. Boers Henk A. Marquering Lucianne L.C.M. Langezaal Yvo B.W.E.M. Roos Robert J. van Oostenbrugge Wim H. van Zwam Diederik W.J. Dippel Charles B.L.M. Majoie Aad van der Lugt	3
+ PDF Chat	Perfusion Parameter Estimation Using Neural Networks and Data Augmentation	2019	David Robben Paul Suetens	3
+ PDF Chat	A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images	2013	Wei Dong Ying Sun Sim Heng Ong Ping Chai Lynette Teo Adrian F. Low	2
+ PDF Chat	Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks	2018	Hoo-Chang Shin Neil Tenenholtz Jameson K. Rogers Christopher G. Schwarz Matthew L. Senjem Jeffrey L. Gunter Katherine P. Andriole Mark Michalski	2
+	PSACNN: Pulse sequence adaptive fast whole brain segmentation	2019	Amod Jog Andrew Hoopes Douglas N. Greve Koen Van Leemput Bruce Fischl	2
+ PDF Chat	Automated brain extraction of multisequence MRI using artificial neural networks	2019	Fabian Isensee Marianne Schell Irada Pflueger Gianluca Brugnara David Bonekamp Ulf Neuberger Antje Wick Heinz‐Peter Schlemmer Sabine Heiland Wolfgang Wick	2
+ PDF Chat	Left Ventricle Quantification Through Spatio-Temporal CNNs	2019	Alejandro Debus Enzo Ferrante	2
+ PDF Chat	Multiple Landmark Detection Using Multi-agent Reinforcement Learning	2019	Athanasios Vlontzos Amir Alansary Konstantinos Kamnitsas Daniel Rueckert Bernhard Kainz	2
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert	2
+ PDF Chat	Direct Quantification for Coronary Artery Stenosis Using Multiview Learning	2019	Dong Zhang Guang Yang Shu Zhao Yanping Zhang Heye Zhang Shuo Li	2
+ PDF Chat	Ischemic Stroke Lesion Segmentation in CT Perfusion Scans Using Pyramid Pooling and Focal Loss	2019	S. Mazdak Abulnaga Jonathan Rubin	2
+ PDF Chat	Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network	2017	Wufeng Xue Ilanit Ben Nachum Sachin Pandey James Warrington Stephanie Leung Shuo Li	2
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	2
+ PDF Chat	The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	2020	Gustav Mårtensson Daniel Ferreira Tobias Granberg Lena Cavallin Ketil Oppedal Alessandro Padovani Irena Rektorová Laura Bonanni Matteo Pardini Milica G. Kramberger	2
+ PDF Chat	Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis	2017	Majd Zreik Nikolas Leßmann Robbert W. van Hamersvelt Jelmer M. Wolterink Michiel Voskuil Max A. Viergever Tim Leiner Ivana Išgum	2
+ PDF Chat	Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks	2020	Guotai Wang Tao Song Qiang Dong Mei Cui Ning Huang Shaoting Zhang	2
+ PDF Chat	Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging	2019	José Bernal Kaisar Kushibar Mariano Cabezas Sergi Valverde Arnau Oliver Xavier Lladó	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis	2017	Adrián Galdrán Aitor Álvarez-Gila Maria Inês Meyer Cristina L. Saratxaga Teresa Araújo Estíbaliz Garrote Guilherme Aresta Pedro Costa Ana Maria Mendonça Aurélio Campilho	2
+ PDF Chat	Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss	2018	Çağdaş Ulaş Giles Tetteh Michael J. Thrippleton Paul A. Armitage Stephen Makin Joanna M. Wardlaw Mike E. Davies Bjoern Menze	2
+ PDF Chat	DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis	2019	Hongwei Li Johannes C. Paetzold Anjany Sekuboyina Florian Kofler Jianguo Zhang Jan S. Kirschke Benedikt Wiestler Bjoern Menze	1
+ PDF Chat	Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks	2019	Gihyun Kwon Chihye Han Dae‐Shik Kim	1
+ PDF Chat	Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model	2020	Murtadha D. Hssayeni Muayad Sadik Croock Aymen Dawood Salman Hassan Falah Al-khafaji Z. Yahya Behnaz Ghoraani	1
+	A Learning Strategy for Contrast-agnostic MRI Segmentation	2020	Benjamin Billot Douglas N. Greve Koen Van Leemput Bruce Fischl Juan Eugenio Iglesias Adrian V. Dalca	1
+	TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning	2021	Fernando Pérez‐García Rachel Sparks Sébastien Ourselin	1
+	Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study	2020	Christoph Baur Stefan Denner Benedikt Wiestler Shadi Albarqouni Nassir Navab	1
+ PDF Chat	Unsupervised lesion detection via image restoration with a normative prior	2020	Xiaoran Chen Suhang You Kerem Can Tezcan Ender Konukoglu	1
+ PDF Chat	Optimization with Soft Dice Can Lead to a Volumetric Bias	2020	Jeroen Bertels David Robben Dirk Vandermeulen Paul Suetens	1
+ PDF Chat	Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement	2020	Li Chen Thomas S. Hatsukami Jenq‐Neng Hwang Chun Yuan	1
+	pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis	2020	Alain Jungo Olivier Scheidegger Mauricio Reyes Fabian Balsiger	1
+ PDF Chat	Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data	2018	Philipp Seeböck Sebastian M. Waldstein Sophie Klimscha Hrvoje Bogunović Thomas Schlegl Bianca S. Gerendas René Donner Ursula Schmidt‐Erfurth Georg Langs	1
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	1
+ PDF Chat	Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	2021	Christoph Baur Stefan Denner Benedikt Wiestler Nassir Navab Shadi Albarqouni	1
+ PDF Chat	Differentiable Deconvolution for Improved Stroke Perfusion Analysis	2020	Ezequiel de la Rosa David Robben Diana M. Sima Jan S. Kirschke Bjoern Menze	1
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Matthias Eisenmann Minu D. Tizabi Carole H. Sudre Tim Rädsch Michela Antonelli Tal Arbel Spyridon Bakas M. Jorge Cardoso Veronika Cheplygina	1
+ PDF Chat	clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation	2021	Suprosanna Shit Johannes C. Paetzold Anjany Sekuboyina Ivan Ezhov Alexander Unger Andrey Zhylka Josien P. W. Pluim Ulrich Bauer Bjoern Menze	1
+	AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning	2021	Ezequiel de la Rosa Diana M. Sima Bjoern Menze Jan S. Kirschke David Robben	1
+ PDF Chat	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images	2022	Ali Hatamizadeh Vishwesh Nath Yucheng Tang Dong Yang Holger R. Roth Daguang Xu	1
+ PDF Chat	Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge	2022	Lucas Fidon Suprosanna Shit Ivan Ezhov Johannes C. Paetzold Sébastien Ourselin Tom Vercauteren	1
+	TotalSegmentator: robust segmentation of 104 anatomical structures in CT images	2022	Jakob Wasserthal Hanns‐Christian Breit Manfred T. Meyer Maurice Pradella Daniel Hinck Alexander Sauter Tobias Heye Daniel T. Boll Joshy Cyriac Shan Yang	1
+	Improved Training of Wasserstein GANs	2017	Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville	1
+	Training Deep Networks with Structured Layers by Matrix Backpropagation	2015	Catalin Ionescu Orestis Vantzos Cristian Sminchisescu	1
+	3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation	2022	Ho Hin Lee Shunxing Bao Yuankai Huo Bennett A. Landman	1
+	Topologically faithful image segmentation via induced matching of persistence barcodes	2022	Nico Stucki Johannes C. Paetzold Suprosanna Shit Bjoern Menze Ulrich Bauer	1
+ PDF Chat	ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset	2022	Moritz Roman Hernandez Petzsche Ezequiel de la Rosa Uta Hanning Roland Wiest Waldo Valenzuela Mauricio Reyes Maria Inês Meyer Sook‐Lei Liew Florian Kofler Ivan Ezhov	1
+	SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	2023	Benjamin Billot Douglas N. Greve Oula Puonti Axel Thielscher Koen Van Leemput Bruce Fischl Adrian V. Dalca Juan Eugenio Iglesias	1
+	NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation	2023	Pengcheng Shi Xutao Guo Yanwu Yang Chenfei Ye Ting Ma	1
+	TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images	2023	Jakob Wasserthal Hanns‐Christian Breit Manfred T. Meyer Maurice Pradella Daniel Hinck Alexander Sauter Tobias Heye Daniel T. Boll Joshy Cyriac Shan Yang	1