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20212026
most citedA dataset and benchmark for hospital course summarization with adapted large language models

31 citations · 68 across the 13 of their papers we have counts for

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eess.IV2026

Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning

Yamin Arefeen, Sidharth Kumar, Steven Warach +2

Purpose: To develop a data-efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical st…