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VideoMM is introduced, which marks a paradigm shift from model-centric downsizing to adaptive perceptual granularity and accelerates inference by 2.73 times over current leading methods, establishing a highly scalable paradigm for long-video understanding.
Unlock the power of small LLMs for ICD coding: Code-Centric Learning lets them rival the performance of much larger proprietary models.
Generate pathology reports with unprecedented control: QCAgent lets you specify diagnostic details and constraints, grounding statements in localized visual evidence from whole-slide images.
PMM-Synth lets you synthesize missing MRI modalities across diverse clinical datasets, even when they have different modality coverage and disease types, opening the door to more robust and generalizable medical imaging AI.
