A scoping review on multimodal deep learning in biomedical images and
texts

A scoping review on multimodal deep learning in biomedical images and texts

14 July 2023

Papers citing "A scoping review on multimodal deep learning in biomedical images and texts"

10 / 10 papers shown

Title
Enhancing medical vision-language contrastive learning via inter-matching relation modelling Mingjian Li Mingyuan Meng M. Fulham David Dagan Feng Lei Bi Jinman Kim VLM 30 1 0 19 Jan 2024
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 46 73 0 21 Oct 2022
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study Ziyuan Qin Huahui Yi Qicheng Lao Kang Li VLM 24 62 0 30 Sep 2022
RepsNet: Combining Vision with Language for Automated Medical Reports A. Tanwani Joelle Barral Daniel Freedman MedIm 33 19 0 27 Sep 2022
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge Zhihong Chen Guanbin Li Xiang Wan 119 65 0 15 Sep 2022
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training Zhihong Chen Yu Du Jinpeng Hu Yang Liu Guanbin Li Xiang Wan Tsung-Hui Chang 79 107 0 15 Sep 2022
LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li Yunxiang Li Qingde Li Puyang Wang Dazhou Guo Le Lu D. Jin You Zhang Qingqi Hong VLM MedIm 57 128 0 29 Jun 2022
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 132 79 0 06 Dec 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 146 152 0 20 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017