Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ezequiel de la Rosa

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
Plos One|March 30, 2023
Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functionsEzequiel de la Rosa, Diana M Sima, Jan S Kirschke, et al.
Medical Image Analysis|August 23, 2021
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learningEzequiel de la Rosa, Diana M Sima, Bjoern Menze, et al.
Frontiers in Neuroscience|September 17, 2021
A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRIMaria Ines Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|July 3, 2018
Early Detection of Chronic Asymptomatic Chagas InfectionEzequiel de la Rosa, Patricia Paglini-Oliva, Laura B Prato, et al.
Neuroimage. Clinical|June 10, 2021
icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesionsMladen Rakić, Sophie Vercruyssen, Simon Van Eyndhoven, et al.
Journal of Imaging Informatics in Medicine|May 1, 2024
Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center DatasetsHyunsu Jeong, Hyunseok Lim, Chiho Yoon, et al.
Journal of Neurotrauma|December 10, 2019
Prognostic Validation of the NINDS Common Data Elements for the Radiologic Reporting of Acute Traumatic Brain Injuries: A CENTER-TBI StudyThijs Vande Vyvere, Ezequiel De La Rosa, Guido Wilms, et al.
Scientific Reports|September 4, 2024
APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challengesSantiago Gómez, Edgar Rangel, Daniel Mantilla, et al.
Radiology. Artificial Intelligence|April 22, 2026
The ISLES'24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical OutcomesEvamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, et al.
Scientific Data|December 10, 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetMoritz R Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Plos One|March 30, 2023
Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functionsEzequiel de la Rosa, Diana M Sima, Jan S Kirschke, et al.
Medical Image Analysis|August 23, 2021
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learningEzequiel de la Rosa, Diana M Sima, Bjoern Menze, et al.
Frontiers in Neuroscience|September 17, 2021
A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRIMaria Ines Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|July 3, 2018
Early Detection of Chronic Asymptomatic Chagas InfectionEzequiel de la Rosa, Patricia Paglini-Oliva, Laura B Prato, et al.
Neuroimage. Clinical|June 10, 2021
icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesionsMladen Rakić, Sophie Vercruyssen, Simon Van Eyndhoven, et al.
Journal of Imaging Informatics in Medicine|May 1, 2024
Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center DatasetsHyunsu Jeong, Hyunseok Lim, Chiho Yoon, et al.
Journal of Neurotrauma|December 10, 2019
Prognostic Validation of the NINDS Common Data Elements for the Radiologic Reporting of Acute Traumatic Brain Injuries: A CENTER-TBI StudyThijs Vande Vyvere, Ezequiel De La Rosa, Guido Wilms, et al.
Scientific Reports|September 4, 2024
APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challengesSantiago Gómez, Edgar Rangel, Daniel Mantilla, et al.
Radiology. Artificial Intelligence|April 22, 2026
The ISLES'24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical OutcomesEvamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, et al.
Scientific Data|December 10, 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetMoritz R Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, et al.
Pageof 2