1.4k citations · 2.7k across the 35 of their papers we have counts for
10 papers · 1 filter
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform
Zudi Lin, Donglai Wei, Aarush Gupta +3
Objects with complex structures pose significant challenges to existing instance segmentation methods that rely on boundary or affinity maps, which are vulnerable to small errors a…
S-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
Kangxian Xie, Siyu Huang, Sebastian Andres Cajas Ordonez +2
Deep-learning models have been successful in biomedical image segmentation. To generalize for real-world deployment, test-time augmentation (TTA) methods are often used to transfor…
VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction
Joshua Gorniak, Yoon Kim, Donglai Wei +1
Traditional accessibility methods like alternative text and data tables typically underrepresent data visualization's full potential. Keyboard-based chart navigation has emerged as…
Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fields
Kangxian Xie, Jiancheng Yang, Donglai Wei +2
Pulmonary diseases rank prominently among the principal causes of death worldwide. Curing them will require, among other things, a better understanding of the complex 3D tree-shape…
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou +3
There has been a growing interest in developing multimodal machine translation (MMT) systems that enhance neural machine translation (NMT) with visual knowledge. This problem setup…
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases
Jiancheng Yang, Hongwei Bran Li, Donglai Wei
This study investigates the transformative potential of Large Language Models (LLMs), such as OpenAI ChatGPT, in medical imaging. With the aid of public data, these models, which p…