Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework

17 January 2018

Papers citing "Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework"

44 / 44 papers shown

Title
Spectral Survival Analysis Chengzhi Shi Stratis Ioannidis 34 0 0 28 May 2025
Toward Conditional Distribution Calibration in Survival Prediction Shi-ang Qi Yakun Yu Russell Greiner 479 0 0 27 Oct 2024
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network Muhammad Ridzuan Numan Saeed F. Maani Karthik Nandakumar Mohammad Yaqub CML 385 0 0 30 Sep 2024
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration Shiguang Qi Yakun Yu Russell Greiner 380 5 0 12 May 2024
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation Meixu Chen Kai Wang Jing Wang 82 0 0 09 May 2024
HuLP: Human-in-the-Loop for Prognosis Muhammad Ridzuan Mai Kassem Numan Saeed I. Sobirov Mohammad Yaqub 311 1 0 19 Mar 2024
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast Numan Saeed Muhammad Ridzuan F. Maani Hussain Alasmawi Karthik Nandakumar Mohammad Yaqub SSL 92 1 0 15 Mar 2024
Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection Akhila Krishna R. Gupta Pranav Jeevan Amit Sethi 18 1 0 04 Mar 2024
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information A. Jayagopal Hansheng Xue Ziyang He R. J. Walsh K. K. Hariprasannan D. S. P. Tan T. Z. Tan J. J. Pitt A. D. Jeyasekharan Vaibhav Rajan 38 1 0 16 Feb 2024
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth Yuqi Wang Aarzu Gupta David Carpenter Trey C Mullikin Zachary J. Reitman ... J. Salama P. Sperduto Jian-Guo Liu Mustafa R. Bashir Kyle J. Lafata 59 0 0 28 Nov 2023
DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU Munib Mesinovic Peter Watkinson Ting Zhu 58 0 0 28 Oct 2023
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records Mohsen Nayebi Kerdabadi Arya Hadizadeh Moghaddam Bin Liu Meitian Liu Zijun Yao 103 8 0 24 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 65 13 0 04 Aug 2023
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data Maryamalsadat Mahootiha H. Qadir Jacob Bergsland I. Balasingham 60 9 0 07 Jul 2023
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence I. Sobirov 60 0 0 31 May 2023
Deep Learning for Survival Analysis: A Review S. Wiegrebe Philipp Kopper R. Sonabend Bernd Bischl Andreas Bender 90 78 0 24 May 2023
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients Ángel Víctor Juanco-Müller João F. C. Mota K. Goatman C. Hoogendoorn 56 1 0 17 Apr 2023
Federated Survival Forests Alberto Archetti Matteo Matteucci FedML 88 8 0 06 Feb 2023
Deep conditional transformation models for survival analysis Gabriele Campanella Lucas Kook I. Häggström Torsten Hothorn Thomas J. Fuchs 45 2 0 20 Oct 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 82 6 0 23 Aug 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen 471 3 0 21 Jun 2022
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI J. Durso-Finley Jean-Pierre Falet Brennan Nichyporuk Douglas L. Arnold Tal Arbel AI4CE 42 9 0 01 Apr 2022
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data Numan Saeed Roba Al Majzoub I. Sobirov Mohammad Yaqub 60 25 0 25 Feb 2022
DeepCENT: Prediction of Censored Event Time via Deep Learning Jong-Hyeon Jeong Yichen Jia 15 2 0 08 Feb 2022
Inverse-Weighted Survival Games Xintian Han Mark Goldstein A. Puli Thomas Wies A. Perotte Rajesh Ranganath OffRL 152 12 0 16 Nov 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 49 4 0 23 Aug 2021
Lymph Node Graph Neural Networks for Cancer Metastasis Prediction M. Kazmierski B. Haibe-Kains 49 6 0 03 Jun 2021
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data M. Kazmierski M. Welch Sejin Kim Chris McIntosh Princess Margaret Head ... M. Milosevic Fei-Fei Liu A. Hope S. Bratman B. Haibe-Kains 70 5 0 28 Jan 2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values Dai Feng Lili Zhao 48 32 0 07 Jan 2021
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks Sejin Kim M. Kazmierski B. Haibe-Kains 43 4 0 10 Dec 2020
Optimal Survival Trees Dimitris Bertsimas Jack Dunn Emma Gibson Agni Orfanoudaki 48 33 0 08 Dec 2020
DeepHazard: neural network for time-varying risks Denise Rava Jelena Bradic 47 7 0 26 Jul 2020
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals George H. Chen 96 16 0 25 Jul 2020
Uncertainty Estimation in Cancer Survival Prediction H. Loya P. Poduval Deepak Anand Neeraj Kumar A. Sethi 24 4 0 19 Mar 2020
Variational Learning of Individual Survival Distributions Zidi Xiu Chenyang Tao Benjamin A. Goldstein Ricardo Henao OOD 58 16 0 09 Mar 2020
Survival Cluster Analysis Paidamoyo Chapfuwa Chunyuan Li Nikhil Mehta Lawrence Carin Ricardo Henao 91 37 0 29 Feb 2020
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group Cédric Beaulac Jeffrey S. Rosenthal Q. Pei D. Friedman S. Wolden D. Hodgson 22 9 0 15 Jan 2020
The Brier Score under Administrative Censoring: Problems and Solutions Håvard Kvamme Ørnulf Borgan 75 21 0 18 Dec 2019
Continuous and Discrete-Time Survival Prediction with Neural Networks Håvard Kvamme Ørnulf Borgan 83 132 0 15 Oct 2019
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values Lili Zhao Dai Feng AAML 34 54 0 06 Aug 2019
Time-to-Event Prediction with Neural Networks and Cox Regression Håvard Kvamme Ørnulf Borgan Ida Scheel 402 337 0 01 Jul 2019
Survival Function Matching for Calibrated Time-to-Event Predictions Paidamoyo Chapfuwa Chenyang Tao Lawrence Carin Ricardo Henao OOD 45 4 0 21 May 2019
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks Daniel Jarrett Jinsung Yoon M. Schaar 38 8 0 26 Nov 2018
Adversarial Time-to-Event Modeling Paidamoyo Chapfuwa Chenyang Tao Chunyuan Li C. Page B. Goldstein Lawrence Carin Ricardo Henao AAML OOD CML 87 92 0 09 Apr 2018