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The integration of multi-modal data, such as pathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions.
Regression models and life-tables
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Evaluating the yield of medical tests
Frank E Harrell, Robert M Califf, David B Pryor, Kerry L Lee, and Robert A Rosati · 1982
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Separating style and content with bilinear models
Joshua B Tenenbaum and William T Freeman · 2000
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Youtube movie reviews: Sentiment analysis in an audio-visual context
Martin Wöllmer, Felix Weninger, Tobias Knaup, Björn Schuller, Congkai Sun, Kenji Sagae, and Louis-Philippe Morency · 2013
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The wonderful colors of the hematoxylin-eosin stain in diagnostic surgical pathology
John KC Chan · 2014
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Pathway-based analysis tools for complex diseases: A review
Lv Jin, Xiao-Yu Zuo, Wei-Yang Su, Xiao-Lei Zhao, Man-Qiong Yuan, Li-Zhen Han, Xiang Zhao, Ye-Da Chen, and Shao-Qi Rao · 2014
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Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure
Yanming Li, Bin Nan, and Ji Zhu · 2015
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Patch-based convolutional neural network for whole slide tissue image classification
Le Hou, Dimitris Samaras, Tahsin M Kurc, Yi Gao, James E Davis, and Joel H Saltz · 2016
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Deep multimodal fusion for persuasiveness prediction
Behnaz Nojavanasghari, Deepak Gopinath, Jayanth Koushik, Tadas Baltrušaitis, and Louis-Philippe Morency · 2016
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Convolutional mkl based multimodal emotion recognition and sentiment analysis
Soujanya Poria, Iti Chaturvedi, Erik Cambria, and Amir Hussain · 2016
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Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
Amir Zadeh, Rowan Zellers, Eli Pincus, and Louis-Philippe Morency · 2016
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Integrative analysis of histopathological images and genomic data predicts clear cell renal cell carcinoma prognosis
Jun Cheng, Jie Zhang, Yatong Han, Xusheng Wang, Xiufen Ye, Yuebo Meng, Anil Parwani, Zhi Han, Qianjin Feng, and Kun Huang · 2017
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A review of pathway-based analysis tools that visualize genetic variants
Elisa Cirillo, Laurence D Parnell, and Chris T Evelo · 2017
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Hadamard product for low-rank bilinear pooling
Jin-Hwa Kim, Kyoung-Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2017
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Non-canonical notch3 signalling limits tumour angiogenesis
Shuheng Lin, Ana Negulescu, Sirisha Bulusu, Benjamin Gibert, Jean-Guy Delcros, Benjamin Ducarouge, Nicolas Rama, Nicolas Gadot, Isabelle Treilleux, Pierre Saintigny, et al · 2017
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R-pathcluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine
Tejaswini Mallavarapu, Youngsoon Kim, Jung Hun Oh, and Mingon Kang · 2017
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Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks
Xipeng Pan, Lingqiao Li, Huihua Yang, Zhenbing Liu, Jinxin Yang, Lingling Zhao, and Yongxian Fan · 2017
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Expression of tiam1 and rac1 proteins in renal cell carcinoma and its clinical-pathological features
Guang Shan, Tian Tang, Huijun Qian, and Yue Xia · 2017
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Axiomatic attribution for deep networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan · 2017
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B-catenin promotes cell proliferation, migration, and invasion but induces apoptosis in renal cell carcinoma
Chun-ming Yang, Shan Ji, Yan Li, Li-ye Fu, Tao Jiang, and Fan-dong Meng · 2017
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Multi-modal factorized bilinear pooling with co-attention learning for visual question answering
Zhou Yu, Jun Yu, Jianping Fan, and Dacheng Tao · 2017
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Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency · 2017
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The reactome pathway knowledgebase
Antonio Fabregat, Steven Jupe, Lisa Matthews, Konstantinos Sidiropoulos, Marc Gillespie, Phani Garapati, Robin Haw, Bijay Jassal, Florian Korninger, Bruce May, et al · 2020
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Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types
Le Hou, Rajarsi Gupta, John S Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M Kurc, and Joel H Saltz · 2020
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Deep learning models for histopathological classification of gastric and colonic epithelial tumours
Osamu Iizuka, Fahdi Kanavati, Kei Kato, Michael Rambeau, Koji Arihiro, and Masayuki Tsuneki · 2020
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Modality to modality translation: An adversarial representation learning and graph fusion network for multimodal fusion
Sijie Mai, Haifeng Hu, and Songlong Xing · 2020
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Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma
Zhenyuan Ning, Weihao Pan, Yuting Chen, Qing Xiao, Xinsen Zhang, Jiaxiu Luo, Jian Wang, and Yu Zhang · 2020
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Zhezhu Han, Dongxu Kang, Yeonsoo Joo, Jihyun Lee, Geun-Hyeok Oh, Soojin Choi, Suwan Ko, Suyeon Je, Hye Jin Choi, and Jae J Song · 2018
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Pasnet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data
Jie Hao, Youngsoon Kim, Tae-Kyung Kim, and Mingon Kang · 2018
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Attention-based deep multiple instance learning
Maximilian Ilse, Jakub Tomczak, and Max Welling · 2018
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Investigating audio, video, and text fusion methods for end-to-end automatic personality prediction
Onno Kampman, Elham J Barezi, Dario Bertero, and Pascale Fung · 2018
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Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network
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Predicting cancer outcomes from histology and genomics using convolutional networks
Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad, David A Gutman, Jill S Barnholtz-Sloan, José E Velázquez Vega, Daniel J Brat, and Lee AD Cooper · 2018
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Deep learning with multimodal representation for pancancer prognosis prediction
Anika Cheerla and Olivier Gevaert · 2019
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A cancer survival prediction method based on graph convolutional network
Chunyu Wang, Junling Guo, Ning Zhao, Yang Liu, Xiaoyan Liu, Guojun Liu, and Maozu Guo · 2020
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Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament-Auvigne, Craig H Mermel, Po-Hsuan Cameron Chen, Yun Liu, and Martin C Stumpe · 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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Multimodal co-attention transformer for survival prediction in gigapixel whole slide images
Richard J Chen, Ming Y Lu, Wei-Hung Weng, Tiffany Y Chen, Drew FK Williamson, Trevor Manz, Maha Shady, and Faisal Mahmood · 2021
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Biologically informed deep neural network for prostate cancer discovery
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Efficient low-rank multimodal fusion with modality-specific factors
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Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Richard J Chen, Matteo Barbieri, and Faisal Mahmood · 2021
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Multimodal fusion using sparse cca for breast cancer survival prediction
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A mesenchymal tumor cell state confers increased dependency on the bcl-xl anti-apoptotic protein in kidney cancer
Treg Grubb, Smruthi Maganti, John Michael Krill-Burger, Cameron Fraser, Laura Stransky, Tomas Radivoyevitch, Kristopher A. Sarosiek, Francisca Vazquez, William G. Kaelin Jr., and Abhishek A. Chakraborty · 2022
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Bioinformatic analysis identifying psmb 1/2/3/4/6/8/9/10 as prognostic indicators in clear cell renal cell carcinoma
Jing-Yi Guo, Zuo-qian Jing, Xue-jie Li, and Li-yuan Liu · 2022
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Hfbsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction
Ruiqing Li, Xingqi Wu, Ao Li, and Minghui Wang · 2022
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