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"

28 / 28 papers shown

Title
$$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction$ $M^{2}$ Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction Quan Liu Jiawen Yao Lisha Yao Xin Chen Jingren Zhou Le Lu Ling Zhang Zai-De Liu Yuankai Huo 34 2 0 15 Jan 2024
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics Hong-Yu Zhou Yizhou Yu Chengdi Wang Shu Zhen Zhang Yuanxu Gao Jia Pan Jun Shao Guangming Lu Kang Zhang Weimin Li MedIm 52 161 0 01 Jun 2023
Why is the winner the best? Matthias Eisenmann Annika Reinke V. Weru M. Tizabi Fabian Isensee ... Zixuan Zhao Klaus Maier-Hein Paul F. Jäger A. Kopp-Schneider Lena Maier-Hein 35 22 0 30 Mar 2023
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation Jianwei Lin Jiatai Lin Chenghao Lu Hao Chen Huan Lin ... Biao Huang C. Liang Guoqiang Han Zaiyi Liu Chu Han MedIm 46 70 0 15 Jul 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 69 136 0 29 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 48 28 0 09 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 57 414 0 06 Jun 2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities Reza Azad Nika Khosravi Dorit Merhof 35 56 0 06 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 70 412 0 25 Mar 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) Yu Huang Junyang Lin Chang Zhou Hongxia Yang Longbo Huang 34 91 0 23 Mar 2022
Multi-modal learning for predicting the genotype of glioma Yiran Wei Xi Chen Lei Zhu Lipei Zhang Carola-Bibiane Schönlieb S. Price Chong Li 19 25 0 21 Mar 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 26 42 0 22 Jan 2022
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 38 39 0 18 Oct 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation Hong-Yu Zhou J. Guo Yinghao Zhang Lequan Yu Liansheng Wang Yizhou Yu ViT MedIm 41 320 0 07 Sep 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective Riqiang Gao Yucheng Tang Kaiwen Xu Ho Hin Lee S. Deppen K. Sandler P. Massion Thomas A. Lasko Yuankai Huo Bennett A. Landman 42 10 0 25 Jul 2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation Yao Zhang Jiawei Yang Jiang Tian Zhongchao Shi Cheng Zhong Yang Zhang Zhiqiang He 42 91 0 21 Jul 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 80 965 0 10 Jun 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 39 143 0 13 Apr 2021
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records Zhen Xu David R. So Andrew M. Dai Mamba 63 51 0 03 Feb 2021
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation Xiaohang Fu Lei Bi Ashnil Kumar M. Fulham Jinman Kim 25 106 0 29 Jul 2020
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion Cheng Chen Qi Dou Yueming Jin Hao Chen J. Qin Pheng-Ann Heng 30 146 0 22 Feb 2020
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis Tao Zhou Huazhu Fu Geng Chen Jianbing Shen Ling Shao MedIm 36 261 0 11 Feb 2020
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis Richard J. Chen Ming Y. Lu Jingwen Wang Drew F. K. Williamson S. Rodig N. Lindeman Faisal Mahmood 42 405 0 18 Dec 2019
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang ... S. G. Kim Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 18 494 0 20 Mar 2019
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction Ling Zhang Le Lu Ronald M. Summers E. Kebebew Jianhua Yao MedIm 29 61 0 25 Jan 2018
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning Guotai Wang Wenqi Li Maria A. Zuluaga R. Pratt P. Patel ... T. Doel A. David Jan Deprest Sebastien Ourselin Tom Vercauteren 58 689 0 11 Oct 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 53 2,890 0 26 May 2017
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 100 3,049 0 18 Mar 2016