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Showing results (11-20 of 25) with videos related to

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Medical Image Analysis|November 17, 2022
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modelingIvan Ezhov, Kevin Scibilia, Katharina Franitza, et al.
IEEE Transactions on Medical Imaging|January 19, 2024
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging BiomarkersHailong He, Johannes C Paetzold, Nils Borner, et al.
Frontiers in Neuroscience|January 17, 2022
Robust, Primitive, and Unsupervised Quality Estimation for Segmentation EnsemblesFlorian Kofler, Ivan Ezhov, Lucas Fidon, et al.
Medical Image Analysis|October 10, 2024
Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, et al.
Medical Image Analysis|January 8, 2022
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challengeMatthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, et al.
Scientific Data|July 7, 2021
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation DatasetKelly Payette, Priscille de Dumast, Hamza Kebiri, et al.
Nature Biomedical Engineering|February 12, 2026
Generalist foundation models from a multimodal dataset for 3D computed tomographyIbrahim Ethem Hamamci, Sezgin Er, Chenyu Wang, et al.
IEEE Transactions on Medical Imaging|May 3, 2021
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant DesignJianning Li, Pedro Pimentel, Angelika Szengel, et al.
Neuroimage|May 30, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challengeKimberley M Timmins, Irene C van der Schaaf, Edwin Bennink, et al.
Nature|May 20, 2026
A deep-learning framework reveals whole-body perturbations at cell levelDoris Kaltenecker, Izabela Horvath, Rami Al-Maskari, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Medical Image Analysis|November 17, 2022
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modelingIvan Ezhov, Kevin Scibilia, Katharina Franitza, et al.
IEEE Transactions on Medical Imaging|January 19, 2024
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging BiomarkersHailong He, Johannes C Paetzold, Nils Borner, et al.
Frontiers in Neuroscience|January 17, 2022
Robust, Primitive, and Unsupervised Quality Estimation for Segmentation EnsemblesFlorian Kofler, Ivan Ezhov, Lucas Fidon, et al.
Medical Image Analysis|October 10, 2024
Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, et al.
Medical Image Analysis|January 8, 2022
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challengeMatthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, et al.
Scientific Data|July 7, 2021
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation DatasetKelly Payette, Priscille de Dumast, Hamza Kebiri, et al.
Nature Biomedical Engineering|February 12, 2026
Generalist foundation models from a multimodal dataset for 3D computed tomographyIbrahim Ethem Hamamci, Sezgin Er, Chenyu Wang, et al.
IEEE Transactions on Medical Imaging|May 3, 2021
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant DesignJianning Li, Pedro Pimentel, Angelika Szengel, et al.
Neuroimage|May 30, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challengeKimberley M Timmins, Irene C van der Schaaf, Edwin Bennink, et al.
Nature|May 20, 2026
A deep-learning framework reveals whole-body perturbations at cell levelDoris Kaltenecker, Izabela Horvath, Rami Al-Maskari, et al.
Pageof 3