1 citations · 2 across the 3 of their papers we have counts for
5 papers
Knowledge Transfer Scaling Laws for 3D Medical Imaging
Ho Hin Lee, Dongna Du, Chu Wang +4
Vision foundation models are increasingly moving beyond 2D to volumetric domains such as 3D medical imaging, where unified pretraining across different imaging modalities (i.e. CT,…
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang, Mona Gandhi, Yufei Wang +5
While deep networks have achieved broad success in analyzing natural images, when applied to medical scans, they often fail in unexcepted situations. We investigate this challenge…
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
Yifan Wu, Yang Liu, Yue Yang +10
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification. The advent of machine learning of…
Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching
Yifan Wu, Rohit Jena, Mehmet Gulsun +3
Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease. However, the resulting 2D X-ray projections lose 3D information and…
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task
Yifan Wu, Pengchuan Zhang, Wenhan Xiong +3
The study explores the effectiveness of the Chain-of-Thought approach, known for its proficiency in language tasks by breaking them down into sub-tasks and intermediate steps, in i…