Search Results for author:
Found 4 papers, 0 papers with code
GREEN: Generative Radiology Report Evaluation and Error Notation
Evaluating radiology reports is a challenging problem as factual correctness is extremely important due to the need for accurate medical communication about medical images.
AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT
While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoregional patient cohorts with less diverse data sources.
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks
Such methods may enable more widespread and accurate CBF evaluation in larger cohorts who cannot undergo PET imaging due to radiation concerns, lack of access, or logistic challenges.
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of cerebrovascular diseases such as Moyamoya, carotid stenosis, aneurysms, and stroke.
