FLAMeS: A Robust Deep Learning Model for Automated Multiple Sclerosis Lesion Segmentation is a research paper published in medRxiv (2025). On theSindex it has a DataRank of 0. It has been cited 8 times.
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National Institutes of Health
Grant: 1ZIANS003119-09
Multimodal MRI in Multiple Sclerosis
National Institutes of Health
Grant: 1R01NS136523-01A1
Computational Model of Neurocognitive Impairment in Multiple Sclerosis
National Institutes of Health
Grant: 5R01NS131948-02
Quantification of Multi-Compartment T1 Relaxation and Magnetization Transfer in Biological Tissue: From Biophysics to Biomarkers for Multiple Sclerosis
National Institutes of Health
Grant: 5UL1TR004419-03
Conduits: Mount Sinai Health System Translational Science Hub
Swiss National Science Foundation
Grant: 206833
Combining MRI markers with sleep EEG features to track brain health and detect pathology
National Institutes of Health
Grant: 1S10OD030463-01
COVID and Translational Science supercomputer (CATS)
National Institutes of Health
Grant: 1S10OD026880-01
Big Omics Data Engine 2 Supercomputer
National Institutes of Health
Grant: 5P41EB017183-05
Center for Advanced Imaging Innovation and Research (CAI2R)
NINDS NIH HHS
Grant: R01 NS136523
NIH HHS
Grant: S10 OD026880
NCATS NIH HHS
Grant: UL1 TR004419
NINDS NIH HHS
Grant: R01 NS131948
NIH HHS
Grant: S10 OD030463
NIBIB NIH HHS
Grant: P41 EB017183
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