APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges

Authors: Santiago Gómez, Edgar Rangel, Daniel Mantilla, Andrés Ortiz, Paul Camacho, Ezequiel de la Rosa, Joaquin Seia, Jan S. Kirschke, Yihao Li, Mostafa El Habib Daho, Fabio Martínez

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Subject Terms: Ischemic stroke, Computed tomography, Image segmentation, Paired dataset, Deep learning, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/da7ee9eff9e740c69ea74a6be1ec413c

The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint

Authors: Hakim Baazaoui, Stefan T. Engelter, Henrik Gensicke, Lukas S. Enz, Marios Psychogios, Matthias Mutke, Patrik Michel, Davide Strambo, Alexander Salerno, Henk A. Marquering, Paul J. Nederkoorn, Nabila Wali, Stephanie Tanadini-Lang, Björn Menze, Ezequiel de la Rosa, Kaiyuan Yang, Gian Marco De Marchis, Tolga D. Dittrich, Francesco Valletta, Manon Germann, Carlo W. Cereda, João Pedro Marto, Lisa Herzog, Patrick Hirschi, Zsolt Kulcsar, Susanne Wegener

Source: Frontiers in Neuroinformatics, Vol 18 (2025)

Subject Terms: ischemic stroke, neuroimaging, data sharing, neurology, collaboration, repository, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fninf.2024.1508161/full; https://doaj.org/toc/1662-5196

Access URL: https://doaj.org/article/91e097eed8514c3ab7f06aa0b10be794

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Authors: Moritz R. Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Valenzuela, Mauricio Reyes, Maria Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexandre Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Björn Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke

Source: Scientific Data, Vol 9, Iss 1, Pp 1-9 (2022)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2052-4463

Access URL: https://doaj.org/article/2c9e426988f046d68bf961f529884f0c

A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms

Authors: Sook-Lei Liew, Bethany P. Lo, Miranda R. Donnelly, Artemis Zavaliangos-Petropulu, Jessica N. Jeong, Giuseppe Barisano, Alexandre Hutton, Julia P. Simon, Julia M. Juliano, Anisha Suri, Zhizhuo Wang, Aisha Abdullah, Jun Kim, Tyler Ard, Nerisa Banaj, Michael R. Borich, Lara A. Boyd, Amy Brodtmann, Cathrin M. Buetefisch, Lei Cao, Jessica M. Cassidy, Valentina Ciullo, Adriana B. Conforto, Steven C. Cramer, Rosalia Dacosta-Aguayo, Ezequiel de la Rosa, Martin Domin, Adrienne N. Dula, Wuwei Feng, Alexandre R. Franco, Fatemeh Geranmayeh, Alexandre Gramfort, Chris M. Gregory, Colleen A. Hanlon, Brenton G. Hordacre, Steven A. Kautz, Mohamed Salah Khlif, Hosung Kim, Jan S. Kirschke, Jingchun Liu, Martin Lotze, Bradley J. MacIntosh, Maria Mataró, Feroze B. Mohamed, Jan E. Nordvik, Gilsoon Park, Amy Pienta, Fabrizio Piras, Shane M. Redman, Kate P. Revill, Mauricio Reyes, Andrew D. Robertson, Na Jin Seo, Surjo R. Soekadar, Gianfranco Spalletta, Alison Sweet, Maria Telenczuk, Gregory Thielman, Lars T. Westlye, Carolee J. Winstein, George F. Wittenberg, Kristin A. Wong, Chunshui Yu

Source: Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2052-4463

Access URL: https://doaj.org/article/ff3353a6e1c645c5bf46513e3436d472

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

Authors: Ezequiel de la Rosa, Diana M. Sima, Jan S. Kirschke, Bjoern Menze, David Robben

Source: PLoS ONE, Vol 18, Iss 3 (2023)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062663/?tool=EBI; https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/d650ab2f768043229be0107c53a539c6

A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRI

Authors: Maria Ines Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana M. Sima

Source: Frontiers in Neuroscience, Vol 15 (2021)

Subject Terms: multi-scanner, magnetic resonance imaging, segmentation, data augmentation, gaussian mixture models, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2021.708196/full; https://doaj.org/toc/1662-453X

Access URL: https://doaj.org/article/5f0d2a26ae5f4c04804acaa7faed7b04

icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions

Authors: Mladen Rakić, Sophie Vercruyssen, Simon Van Eyndhoven, Ezequiel de la Rosa, Saurabh Jain, Sabine Van Huffel, Frederik Maes, Dirk Smeets, Diana M. Sima

Source: NeuroImage: Clinical, Vol 31, Iss , Pp 102707- (2021)

Subject Terms: Multiple sclerosis, Lesion segmentation, Attention-gate U-net, Combined classification, Unsupervised machine learning, Deep-learning, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158221001510; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/1e060ee9b7de418cbd9b9c04d63022b0

Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks

Authors: Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle, Thibault Leclercq, Alexandre Cochet, Alain Lalande

Source: Algorithms, Vol 14, Iss 8, p 249 (2021)

Subject Terms: cardiac magnetic resonance, late gadolinium enhancement, scar segmentation, deep learning, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/1999-4893/14/8/249; https://doaj.org/toc/1999-4893

Access URL: https://doaj.org/article/9583b105d29843abacbda5b3ba22c552

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

Authors: 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 Meriaudeau

Source: Data, Vol 5, Iss 4, p 89 (2020)

Subject Terms: MRI, heart, myocardial infarction, normal case, delayed-enhancement, segmentation, Bibliography. Library science. Information resources

File Description: electronic resource

Relation: https://www.mdpi.com/2306-5729/5/4/89; https://doaj.org/toc/2306-5729

Access URL: https://doaj.org/article/64cc46be7c7d45a4a5af899ed46638c3

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