Fast and accurate segmentation of Acute Ischemic Stroke (AIS) lesions is essential for stroke prognosis and treatment planning. Non-contrast CT (NCCT), the first-line imaging modality for diagnosing ischemic infarcts, exhibits subtle infarct contrast, making manual delineation slow and labor-intensive. Motivated by thi...
This work proposes MOSAIC, the first modality-agnostic federated framework for weakly supervised binary tumor segmentation under client-specific missing modalities, which introduces a client-specific modality-alignment module, a spectral prototype alignment loss that reconciles cross-client distribution shift using com...
Results demonstrate that embedding biological disease mechanisms within continuous-time deep learning improves the accuracy, biological plausibility, and clinical utility of long-horizon cognitive forecasting.
P. Deepika, S. Sunkari, S. Upadhyayula et al.· medRxiv· 0 citations
This work proposes a prototype-based, influence-aware federated learning framework (FedProIn) that uses multiple learnable class prototypes to capture shared semantic structures across heterogeneous clients and introduces feature divergence loss and prototype contrastive loss to mitigate client drift by decomposing it...
Harsh Kumar, T. Garg, V. Sundaresan· Lecture notes in computer sc...· 0 citations
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