WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question
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WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

8 July 2024

Sunyi Zheng

Lin Yang

Papers citing "WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering"

7 / 7 papers shown

Title
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges Yuan Zhang Xinfeng Zhang Xiaoming Qi Xinyu Wu Feng Chen Guanyu Yang Huazhu Fu MedIm LM&MA AI4CE 26 0 0 16 May 2025
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction Zizhi Chen Minghao Han Xukun Zhang Shuwei Ma Tao Liu Xing Wei Li Zhang 49 0 0 25 Mar 2025
Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis Shengxuming Zhang Weihan Li Tianhong Gao Jiacong Hu Haoming Luo Xiuming Zhang Jing Zhang Mingli Song Zunlei Feng LM&MA 103 0 0 12 Dec 2024
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding Ying Chen Guoan Wang Yuanfeng Ji Yanjun Li Jin Ye Tianbin Li Bin Zhang Nana Pei Rongshan Yu Yu Qiao VLM LM&MA 61 3 0 15 Oct 2024
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 91 111 0 15 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 368 5,811 0 29 Apr 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 160 156 0 20 Oct 2020