4 papers
Lesion Detection in CT with Frozen Self-Distilled Features: SALT, a Spatially Adaptive Label-Guided Temperature
Mahmut S. Gokmen, Evan W. Damron, Mitchell A. Klusty +3
Self-supervised pretraining objectives are spatially uniform: the teacher temperature and the per-patch loss weight are identical everywhere in the image, so a lesion a few patches…
DALE-CT: Depth-Aware Foundation Models for Computed Tomography
Evan W. Damron, Mahmut S. Gokmen, Mitchell A. Klusty +3
Recent breakthroughs in self-supervised learning (SSL), such as the Latent-Euclidean Joint-Embedding Predictive Architecture (LeJEPA), alongside successes in integrating visual enc…
A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography
Mahmut S. Gokmen, Moneera N. Haque, Steve W. Leung +6
Coronary artery calcium (CAC) scoring is a key predictor of cardiovascular risk, but it relies on ECG-gated CT scans, restricting its use to specialized cardiac imaging settings. W…
Leveraging LLMs for Structured Data Extraction from Unstructured Patient Records
Mitchell A. Klusty, Elizabeth C. Solie, Caroline N. Leach +8
Manual chart review remains an extremely time-consuming and resource-intensive component of clinical research, requiring experts to extract often complex information from unstructu…