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Found 3 papers, 1 papers with code
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Self-supervised deep learning has accelerated 2D natural image analysis but remains difficult to translate into 3D MRI, where data are scarce and pre-trained 2D backbones cannot capture volumetric context.
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data
The proposed approaches improved over the baseline nnUNet on a variety of out-of-distribution datasets, with the second approach outperforming the prior synthetic data method.
NUVA: A Naming Utterance Verifier for Aphasia Treatment
Assessment of speech performance using picture naming tasks is a key method for both diagnosis and monitoring of responses to treatment interventions by people with aphasia (PWA).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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