Multimodal Data Integration for Precision Oncology: Challenges and
Future Directions

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions

28 June 2024

Fengtao Zhou

Hao Chen

Papers citing "Multimodal Data Integration for Precision Oncology: Challenges and Future Directions"

8 / 8 papers shown

Title
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
Dynamic Multimodal Information Bottleneck for Multimodality Classification Yingying Fang Shuang Wu Sheng Zhang Chao Huang Tieyong Zeng Xiaodan Xing Simon Walsh Guang Yang 19 7 0 02 Nov 2023
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 51 128 0 29 Jun 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 100 653 0 24 Jan 2022
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction Kaiwen Tan Weixian Huang Xiaofeng Liu Jinlong Hu Shoubin Dong 11 42 0 22 Jan 2022
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records Zhen Xu David R. So Andrew M. Dai Mamba 42 51 0 03 Feb 2021
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI Sérgio Pereira Victor Alves Carlos Alberto Silva 16 46 0 06 Jun 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015