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Transformer-based models trained directly on high-resolution 7T MRI data can spot MS lesions that classical methods miss, but not without introducing new challenges in boundary variability and artifact-related false positives.
Force sensing gloves unlock a new dimension of self-supervision for video models, boosting action understanding without manual labels.
