MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction

14 June 2024

Hao Chen

Hao Zheng

Dong Wei

Yefeng Zheng

Joseph J. Y. Sung

Papers citing "MoME: Mixture of Multimodal Experts for Cancer Survival Prediction"

8 / 8 papers shown

Title
CLIP-IT: CLIP-based Pairing for Histology Images Classification Banafsheh Karimian Giulia Avanzato Soufian Belharbi Luke McCaffrey Mohammadhadi Shateri Eric Granger VLM 51 0 0 22 Apr 2025
A Survey of Pathology Foundation Model: Progress and Future Directions Conghao Xiong Hao Chen Joseph J. Y. Sung LM&MA AI4CE 53 0 0 05 Apr 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 44 0 0 25 Mar 2025
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis Alexander Weers Alexander H. Berger Laurin Lux Peter Schüffler Daniel Rueckert Johannes C. Paetzold 42 0 0 14 Mar 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction Yingxue Xu Fengtao Zhou Chenyu Zhao Yihui Wang Can Yang Hao Chen VLM OffRL 52 0 0 03 Mar 2025
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification Zhengrui Guo Conghao Xiong Jiabo Ma Qichen Sun Lishuang Feng Jinzhuo Wang Hao Chen 182 0 0 22 Nov 2024
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction Yuntao Shou Peiqiang Yan Xingjian Yuan Xiangyong Cao Qian Zhao Deyu Meng OOD MedIm 93 5 0 21 Nov 2024
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis Huajun Zhou Fengtao Zhou Hao Chen 24 3 0 03 Apr 2024