Deep learning-based survival prediction for multiple cancer types using histopathology images

16 December 2019

Po-Hsuan Cameron Chen

Yun-Hui Liu

Martin C. Stumpe

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Papers citing "Deep learning-based survival prediction for multiple cancer types using histopathology images"

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Title
Multimodal Survival Modeling in the Age of Foundation Models Steven Song Morgan Borjigin-Wang Irene Madejski Robert L. Grossman 101 0 0 12 May 2025
PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis Zak Buzzard Konstantin Hemker Nikola Simidjievski M. Jamnik MedIm 107 0 0 27 Nov 2024
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT A. Chakravarty T. Emre Dmitrii Lachinov Antoine Rivail H. Scholl ... S. Sivaprasad Daniel Rueckert A. Lotery U. Schmidt-Erfurth Hrvoje Bogunović 114 0 0 30 Sep 2024
NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful Andrey D. Ignatov Grigory Malivenko 57 2 0 17 Sep 2024
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis Zhi-Bo Liu Xiaobo Pang Jizhao Wang Shuai Liu Chen Li 91 1 0 16 Aug 2024
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks Andrey D. Ignatov Josephine Yates Valentina Boeva 88 4 0 11 Jul 2024
Multimodal Prototyping for cancer survival prediction Andrew H. Song Richard J. Chen Guillaume Jaume Anurag J. Vaidya Alexander S. Baras Faisal Mahmood 95 17 0 28 Jun 2024
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification Xuenian Wang Shanshan Shi Renao Yan Qiehe Sun Lianghui Zhu Tian Guan Yonghong He 71 2 0 02 Jun 2024
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis Huajun Zhou Fengtao Zhou Hao Chen 66 5 0 03 Apr 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology Wenhao Tang Fengtao Zhou Shengyue Huang Xiang Zhu Yi Zhang Bo Liu 137 25 0 27 Feb 2024
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities Kasra Borazjani Naji Khosravan Leslie Ying Seyyedali Hosseinalipour 59 5 0 07 Jan 2024
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 96 150 0 13 Dec 2023
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction Mohamed El Amine Elforaici E. Montagnon Francisco Perdigon Romero W. Le F. Azzi Dominique Trudel Bich Nguyen Simon Turcotte An Tang Samuel Kadoury MedIm 83 2 0 17 Nov 2023
Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation Kylie J. Trettner Jeremy Hsieh Weikun Xiao Jerry S.H. Lee A. Armani 33 1 0 15 Nov 2023
Cross-Modal Translation and Alignment for Survival Analysis F. Zhou Hao Chen 70 52 0 22 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Nirhoshan Sivaroopan Chamuditha Jayanga Chalani Ekanayake Hasindri Watawana Jathurshan Pradeepkumar Mithunjha Anandakumar Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage MedIm UQCV 61 0 0 13 Sep 2023
A General-Purpose Self-Supervised Model for Computational Pathology Richard J. Chen Tong Ding Ming Y. Lu Drew F. K. Williamson Guillaume Jaume ... Judy J. Wang Walt Williams L. Le Georg Gerber Faisal Mahmood MedIm 134 44 0 29 Aug 2023
Transformer-based end-to-end classification of variable-length volumetric data Marzieh Oghbaie Teresa Araújo T. Emre U. Schmidt-Erfurth Hrvoje Bogunović ViT MedIm 67 4 0 13 Jul 2023
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis X. Ji Richard Salmon N. Mulliqi U. Khan Yinxi Wang ... M. Rantalainen L. Egevad Pekka Ruusuvuori M. Eklund K. Kartasalo 15 2 0 07 Jul 2023
The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection Michael Robben Amir Hajighasemi M. Nasr Jai Prakesh Veerla Anne M. Alsup ... Kelli Fowlds Parisa Boodaghi Malidarreh Paul Koomey Jillur Rahman Saurav Jacob M. Luber AI4CE 56 5 0 29 Jun 2023
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology Pooria Mazaheri Azam Asilian Bidgoli Shahryar Rahnamayan H. R. Tizhoosh OOD 54 6 0 15 Apr 2023
Masked Pre-Training of Transformers for Histology Image Analysis Shuai Jiang Liesbeth Hondelink A. Suriawinata Saeed Hassanpour MedIm 57 18 0 14 Apr 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction Guillaume Jaume Anurag J. Vaidya Richard J. Chen Drew F. K. Williamson Paul Pu Liang Faisal Mahmood 89 51 0 13 Apr 2023
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology Shahira Abousamra Rajarsi R. Gupta Tahsin M. Kurc Dimitris Samaras Joel H. Saltz Chao Chen MedIm 50 8 0 05 Apr 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting S. Graham Q. Vu Mostafa Jahanifar Martin Weigert Uwe Schmidt ... Tianyi Miao David R. J. Snead S. Raza F. Minhas Nasir M. Rajpoot 96 37 0 11 Mar 2023
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions Jesse Islam M. Turgeon R. Sladek S. Bhatnagar CML 54 1 0 16 Jan 2023
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction Lin Qiu Aminollah Khormali Kai Liu 60 9 0 06 Jan 2023
Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy Jiansheng Fang Anwei Li P. OuYang Jiajian Li Jingwen Wang Hongbo Liu F. Xie Jiang-Dong Liu 22 3 0 23 Jun 2022
Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records Yusuke Takagi Noriaki Hashimoto Hiroki Masuda H. Miyoshi K. Ohshima H. Hontani Ichiro Takeuchi ViT MedIm 52 9 0 07 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 125 431 0 06 Jun 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology Syed Ashar Javed Dinkar Juyal Harshith Padigela A. Taylor-Weiner Limin Yu Aaditya (Adi) Prakash 70 65 0 03 Jun 2022
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides A. Quiros N. Coudray A. Yeaton Xinyu Yang Bojing Liu ... H. Pass A. Moreira J. L. Quesne A. Tsirigos Ke-Fei Yuan SSL 94 5 0 04 May 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning Weicheng Zhu C. Fernandez‐Granda N. Razavian SSL 61 4 0 23 Mar 2022
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk G. Roy N. Geard Karin Verspoor Shan He 135 9 0 02 Feb 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 52 42 0 22 Jan 2022
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network Esther Dietrich Patrick Fuhlert Anne Ernst G. Sauter M. Lennartz H. Stiehl Marina Zimmermann Stefan Bonn 89 4 0 26 Nov 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 97 14 0 21 Nov 2021
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images Shuai Jiang A. Suriawinata Saeed Hassanpour 51 30 0 22 Oct 2021
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients F. Minhas M. Toss N. Wahab E. Rakha Nasir M. Rajpoot 41 4 0 23 Aug 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning Richard J. Chen Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Jana Lipkova ... Maha Shady Mane Williams Bumjin Joo Zahra Noor Faisal Mahmood 46 13 0 04 Aug 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 101 111 0 07 Feb 2021
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning Ellery Wulczyn David F. Steiner M. Moran M. Plass Robert Reihs ... Zhaoyang Xu Yun-Hui Liu Martin C. Stumpe K. Zatloukal C. Mermel 156 161 0 17 Nov 2020
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks Jiawen Yao Xinliang Zhu J. Jonnagaddala Nicholas J Hawkins Junzhou Huang 90 392 0 23 Sep 2020
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging Jiawen Yao Yu Shi Le Lu Jing Xiao Ling Zhang MedIm 34 19 0 26 Aug 2020