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Koen Van Leemput

Showing results (71-80 of 82) with videos related to

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Frontiers in Immunology|September 3, 2024
A future of AI-driven personalized care for people with multiple sclerosisJelle Praet, Lina Anderhalten, Giancarlo Comi, et al.
Neuroimage|April 21, 2009
Predicting the location of entorhinal cortex from MRIBruce Fischl, Allison A Stevens, Niranjini Rajendran, et al.
Elife|June 19, 2024
Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathologyHarshvardhan Gazula, Henry F J Tregidgo, Benjamin Billot, et al.
Imaging Neuroscience (Cambridge, Mass.)|January 24, 2025
Synthetic data in generalizable, learning-based neuroimagingKarthik Gopinath, Andrew Hoopes, Daniel C Alexander, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2023
Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathologyHarshvardhan Gazula, Henry F J Tregidgo, Benjamin Billot, et al.
Arxiv|July 3, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>Maruf Adewole, Jeffrey D Rudie, Anu Gbdamosi, et al.
Arxiv|August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial MeningiomaDominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
Neuroimage|January 18, 2015
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocolPaul A Yushkevich, Robert S C Amaral, Jean C Augustinack, et al.
IEEE Transactions on Medical Imaging|December 11, 2014
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)Bjoern H Menze, Andras Jakab, Stefan Bauer, et al.
Arxiv|August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Pageof 9

Showing results (71-80 of 82) with videos related to

Sort By:
Pageof 9
Frontiers in Immunology|September 3, 2024
A future of AI-driven personalized care for people with multiple sclerosisJelle Praet, Lina Anderhalten, Giancarlo Comi, et al.
Neuroimage|April 21, 2009
Predicting the location of entorhinal cortex from MRIBruce Fischl, Allison A Stevens, Niranjini Rajendran, et al.
Elife|June 19, 2024
Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathologyHarshvardhan Gazula, Henry F J Tregidgo, Benjamin Billot, et al.
Imaging Neuroscience (Cambridge, Mass.)|January 24, 2025
Synthetic data in generalizable, learning-based neuroimagingKarthik Gopinath, Andrew Hoopes, Daniel C Alexander, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2023
Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathologyHarshvardhan Gazula, Henry F J Tregidgo, Benjamin Billot, et al.
Arxiv|July 3, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>Maruf Adewole, Jeffrey D Rudie, Anu Gbdamosi, et al.
Arxiv|August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial MeningiomaDominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
Neuroimage|January 18, 2015
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocolPaul A Yushkevich, Robert S C Amaral, Jean C Augustinack, et al.
IEEE Transactions on Medical Imaging|December 11, 2014
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)Bjoern H Menze, Andras Jakab, Stefan Bauer, et al.
Arxiv|August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Pageof 9