Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

28 October 2023

Papers citing "Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision"

6 / 6 papers shown

Title
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Sheng Zhang Yanbo Xu Naoto Usuyama Hanwen Xu J. Bagga ... Carlo Bifulco M. Lungren Tristan Naumann Sheng Wang Hoifung Poon LM&MA MedIm 127 139 0 10 Jan 2025
Caption Anything: Interactive Image Description with Diverse Multimodal Controls Teng Wang Jinrui Zhang Junjie Fei Hao Zheng Yunlong Tang Zhe Li Mingqi Gao Shanshan Zhao MLLM 67 53 0 04 May 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 63 184 0 26 Apr 2023
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 198 1,899 0 30 Jan 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 267 8,441 0 04 Mar 2022
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 265 2,875 0 11 Feb 2021