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Multimodal learning significantly benefits cancer survival prediction, especially the integration of pathological images and genomic data.
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Integrated genomic analysis identifies subclasses and prognosis signatures of kidney cancer
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Us food and drug administration approval of whole slide imaging for primary diagnosis: A key milestone is reached and new questions are raised
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Learning deep representations by mutual information estimation and maximization
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Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis
Deepprognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced ct imaging and tumor-vascular contact parsing
Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, and Ling Zhang · 2021
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Learning disentangled representations for counterfactual regression via mutual information minimization
Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, and Bo Zheng · 2022
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The reactome pathway knowledgebase 2022
Marc Gillespie, Bijay Jassal, Ralf Stephan, Marija Milacic, Karen Rothfels, Andrea Senff-Ribeiro, Johannes Griss, Cristoffer Sevilla, Lisa Matthews, Chuqiao Gong, et al · 2022
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Node-aligned graph convolutional network for whole-slide image representation and classification
Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, and Xiao Han · 2022
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Hfbsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction
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Richard J Chen, Ming Y Lu, Jingwen Wang, Drew FK Williamson, Scott J Rodig, Neal I Lindeman, and Faisal Mahmood · 2020
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Club: A contrastive log-ratio upper bound of mutual information
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, and Lawrence Carin · 2020
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Learning robust representations via multi-view information bottleneck
Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, and Zeynep Akata · 2020
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Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, and Matthew P Lungren · 2020
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The single-cell pathology landscape of breast cancer
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Learning disentangled representations via mutual information estimation
Eduardo Hugo Sanchez, Mathieu Serrurier, and Mathias Ortner · 2020
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Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas Hawkins, and Junzhou Huang · 2020
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Bias in cross-entropy-based training of deep survival networks
Shekoufeh Gorgi Zadeh and Matthias Schmid · 2020
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Ruiqing Li, Xingqi Wu, Ao Li, and Minghui Wang · 2022
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Advmil: Adversarial multiple instance learning for the survival analysis on whole-slide images
Pei Liu, Luping Ji, Feng Ye, and Bo Fu · 2022
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Multimodal information bottleneck: Learning minimal sufficient unimodal and multimodal representations
Sijie Mai, Ying Zeng, and Haifeng Hu · 2022
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A framework for learning ante-hoc explainable models via concepts
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, and Vineeth N Balasubramanian · 2022
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Transformer-based unsupervised contrastive learning for histopathological image classification
Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, and Xiao Han · 2022
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Identify consistent imaging genomic biomarkers for characterizing the survival-associated interactions between tumor-infiltrating lymphocytes and tumors
Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, and Wei Shao · 2022
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Disentangle first, then distill: A unified framework for missing modality imputation and alzheimer’s disease diagnosis
Yuanyuan Chen, Yongsheng Pan, Yong Xia, and Yixuan Yuan · 2023
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Analysis of multimodal data fusion from an information theory perspective
Yinglong Dai, Zheng Yan, Jiangchang Cheng, Xiaojun Duan, and Guojun Wang · 2023
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Chuan Guo, Florian Bordes, Pascal Vincent, and Kamalika Chaudhuri · 2023
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Computational pathology: A survey review and the way forward
Mahdi S Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, et al · 2023
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Alon Jacovi, Avi Caciularu, Omer Goldman, and Yoav Goldberg · 2023
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Guillaume Jaume, Anurag Vaidya, Richard Chen, Drew Williamson, Paul Liang, and Faisal Mahmood · 2023
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Quantifying & modeling feature interactions: An information decomposition framework
Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, and Louis-Philippe Morency · 2023
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High-dimensional survival analysis: Methods and applications
Stephen Salerno and Yi Li · 2023
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Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction
Yingxue Xu and Hao Chen · 2023
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Tformer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Yilan Zhang, Fengying Xie, and Jianqi Chen · 2023
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Cross-modal translation and alignment for survival analysis
Fengtao Zhou and Hao Chen · 2023
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