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FedMSRW: Federated MS Lesion Segmentation via Dynamic Re-Weighting Mechanisms
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning -
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural N...
Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a... -
SI-170 dataset
The dataset used in this paper is a collection of T1, T2, and T2-FLAIR images acquired at a 3T SIEMENS scanner from 170 MS patients. -
GE-30 dataset
The dataset used in this paper is a collection of T1, T2, and T2-FLAIR images acquired at a 3T GE scanner from 30 MS patients. -
MSLUB dataset
The MSLUB dataset consists of brain MRI scans of 30 patients with multiple sclerosis. -
Axial-MLP dataset for choroid plexus segmentation
A dataset of 141 subjects (44 controls and 97 patients with MS) for automatic segmentation of choroid plexus in multiple sclerosis
