Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation

3 December 2023

Papers citing "Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation"

6 / 6 papers shown

Title
A Multimodal Multi-Agent Framework for Radiology Report Generation Ziruo Yi Ting Xiao Mark V. Albert MedIm 21 0 0 14 May 2025
Large Language Models in Biomedical and Health Informatics: A Bibliometric Review Huizi Yu Lizhou Fan Lingyao Li Jiayan Zhou Zihui Ma ... Sijia He Mingyu Jin Yongfeng Zhang Ashvin Gandhi Xin Ma LM&MA 32 11 0 24 Mar 2024
Opportunities and challenges in the application of large artificial intelligence models in radiology Liangrui Pan Zhenyu Zhao Ying Lu Kewei Tang Liyong Fu Qingchun Liang Shaoliang Peng LM&MA MedIm AI4CE 37 5 0 24 Mar 2024
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey Ashok Urlana Charaka Vinayak Kumar Ajeet Kumar Singh B. Garlapati S. Chalamala Rahul Mishra 35 5 0 22 Feb 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 267 4,229 0 30 Jan 2023
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards Jean-Benoit Delbrouck Pierre J. Chambon Christian Blüthgen E. Tsai Omar Almusa C. Langlotz MedIm 51 75 0 21 Oct 2022