Latest AI and machine learning research in medical education for healthcare professionals.
Uncertainty in medical image segmentation is inherently non-uniform, with boundary regions exhibitin...
Adapting Large Language Models (LLMs) to specialized domains without human-annotated data is a cruci...
This report addresses larger-than-memory image analysis for petascale datasets such as 1.4 PB electr...
Sustainability is becoming increasingly critical in the maritime transport, encompassing both enviro...
The growth of generative AI and easily available Open Access health datasets has transformed researc...
Estimating physically accurate, simulation-ready garments from a single image is challenging due to ...
The Pathology Informatics Bootcamp is held annually at the Pathology Informatics Summit and provides...
Medical evacuation is one of the United States Army's most storied and critical mission sets, resp...
Background - Pulmonary insufficiency is a consequence of transannular patch repair in Tetralogy of...
Recent advances in video generation have shown remarkable progress in open-domain settings, yet me...
Artists and especially new media artists contribute to public perceptions and adoption of new tech...
We present COMPASS, a novel simulation-based inference framework that combines score-based diffusi...
Understanding surgical scenes can provide better healthcare quality for patients, especially with ...
The emerging field of neuromorphic computing for edge control applications poses the need to quant...
Assisting medical students with clinical reasoning (CR) during clinical scenario training remains ...
Single-cell data reveal the presence of biological stochasticity between cells of identical genome...
Instruction-based image editing (IIE) has advanced rapidly with the success of diffusion models. H...
Deep learning models have proven to be effective on medical datasets for accurate diagnostic predi...
Ultrasound (US) is a widely used medical imaging modality due to its real-time capabilities, non-i...
Existing open-vocabulary 3D semantic segmentation methods typically supervise 3D segmentation mode...
Conversational Recommender Systems (CRSs) have garnered attention as a novel approach to deliverin...