Search Results for author:
Found 6 papers, 3 papers with code
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis
We present VoxelPrompt, an agent-driven vision-language framework that tackles diverse radiological tasks through joint modeling of natural language, image volumes, and analytical metrics.
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
Compositional Reasoning (CR) entails grasping the significance of attributes, relations, and word order.
Generative Active Learning for the Search of Small-molecule Protein Binders
Despite substantial progress in machine learning for scientific discovery in recent years, truly de novo design of small molecules which exhibit a property of interest remains a significant challenge.
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging
Most state-of-the-art techniques for medical image segmentation rely on deep-learning models.
UniverSeg: Universal Medical Image Segmentation
We present UniverSeg, a method for solving unseen medical segmentation tasks without additional training.
DEUP: Direct Epistemic Uncertainty Prediction
Epistemic Uncertainty is a measure of the lack of knowledge of a learner which diminishes with more evidence.
