21 citations · 23 across the 4 of their papers we have counts for
4 papers
Exploring the Design Space of 3D MLLMs for CT Report Generation
Mohammed Baharoon, Jun Ma, Congyu Fang +2
Multimodal Large Language Models (MLLMs) have emerged as a promising way to automate Radiology Report Generation (RRG). In this work, we systematically investigate the design space…
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao, Xinggang Wang, Yuehao Song +5
The diagnosis and treatment of chest diseases play a crucial role in maintaining human health. X-ray examination has become the most common clinical examination means due to its ef…
GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated Assessment
Senthujan Senkaiahliyan, Augustin Toma, Jun Ma +6
OpenAI's large multimodal model, GPT-4V(ision), was recently developed for general image interpretation. However, less is known about its capabilities with medical image interpreta…
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe Wang, Oleksii Tsepa, Jun Ma +1
Attention mechanisms have been widely used to capture long-range dependencies among nodes in Graph Transformers. Bottlenecked by the quadratic computational cost, attention mechani…