25 citations · 35 across the 10 of their papers we have counts for
10 papers
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
Vishwesh Nath, Wenqi Li, Dong Yang +22
Generalist vision language models (VLMs) have made significant strides in computer vision, but they fall short in specialized fields like healthcare, where expert knowledge is esse…
Optimal Transport Features for Morphometric Population Analysis
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim +5
Brain pathologies often manifest as partial or complete loss of tissue. The goal of many neuroimaging studies is to capture the location and amount of tissue changes with respect t…
Fluid registration between lung CT and stationary chest tomosynthesis images
Lin Tian, Connor Puett, Peirong Liu +4
Registration is widely used in image-guided therapy and image-guided surgery to estimate spatial correspondences between organs of interest between planning and treatment images. H…
Deep Decomposition for Stochastic Normal-Abnormal Transport
Peirong Liu, Yueh Lee, Stephen Aylward +1
Advection-diffusion equations describe a large family of natural transport processes, e.g., fluid flow, heat transfer, and wind transport. They are also used for optical flow and p…
Discovering Hidden Physics Behind Transport Dynamics
Peirong Liu, Lin Tian, Yubo Zhang +3
Transport processes are ubiquitous. They are, for example, at the heart of optical flow approaches; or of perfusion imaging, where blood transport is assessed, most commonly by inj…
Perfusion Imaging: A Data Assimilation Approach
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward +1
Perfusion imaging (PI) is clinically used to assess strokes and brain tumors. Commonly used PI approaches based on magnetic resonance imaging (MRI) or computed tomography (CT) meas…
A Framework for Challenge Design: Insight and Deployment Challenges to Address Medical Image Analysis Problems
Adriënne M. Mendrik, Stephen R. Aylward
In this paper we aim to refine the concept of grand challenges in medical image analysis, based on statistical principles from quantitative and qualitative experimental research. W…
Beyond the Leaderboard: Insight and Deployment Challenges to Address Research Problems
Adrienne M. Mendrik, Stephen R. Aylward
In the medical image analysis field, organizing challenges with associated workshops at international conferences began in 2007 and has grown to include over 150 challenges. Severa…
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach
Xu Han, Roland Kwitt, Stephen Aylward +6
Brain extraction from images is a common pre-processing step. Many approaches exist, but they are frequently only designed to perform brain extraction from images without strong pa…
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach
Xu Han, Xiao Yang, Stephen Aylward +2
Registration involving one or more images containing pathologies is challenging, as standard image similarity measures and spatial transforms cannot account for common changes due…