Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

2 March 2020

Papers citing "Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks"

45 / 45 papers shown

Title
Learning Survival Distributions with the Asymmetric Laplace Distribution Deming Sheng Ricardo Henao 43 0 0 06 May 2025
TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis Ayoub Abraich CML 35 0 0 03 May 2025
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis Ivan Rossi Flavio Sartori Cesare Rollo G. Birolo P. Fariselli Tiziana Sanavia 37 0 0 24 Apr 2025
Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis Jiaxiang Cheng Guoqiang Hu 31 0 0 06 Apr 2025
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks Xin Liu Weijia Zhang Min-Ling Zhang 35 2 0 19 Oct 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning Dongjoon Lee Hyeryn Park Changhee Lee 28 0 0 15 Oct 2024
Deep End-to-End Survival Analysis with Temporal Consistency Mariana Vargas Vieyra Pascal Frossard 16 0 0 09 Oct 2024
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis Alberto Archetti Eugenio Lomurno Diego Piccinotti Matteo Matteucci 42 2 0 20 Sep 2024
Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis Xin Zhang Deval Mehta Yanan Hu Chao Zhu David Darby ... Daniel Merlo M. Gresle A. Walt H. Butzkueven Zongyuan Ge 22 0 0 10 Sep 2024
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis William Knottenbelt Zeyu Gao Rebecca Wray Woody Zhidong Zhang Jiashuai Liu Mireia Crispin-Ortuzar 34 10 0 06 Sep 2024
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 45 0 0 06 Aug 2024
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer A. Wentzel Serageldin Attia Xinhua Zhang G. Canahuate Clifton Fuller G. Marai 36 3 0 18 Jul 2024
Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks Julie Alberge Vincent Maladiere O. Grisel Judith Abecassis Gaël Varoquaux 35 0 0 20 Jun 2024
Variational Deep Survival Machines: Survival Regression with Censored Outcomes Qinxin Wang Jiayuan Huang Junhui Li Jiaming Liu DRL CML 14 0 0 24 Apr 2024
Efficient Training of Probabilistic Neural Networks for Survival Analysis Christian Marius Lillelund Martin Magris Christian Fischer Pedersen 28 3 0 09 Apr 2024
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis Lilian W. Bialokozowicz Hoang M. Le Tristan Sylvain Peter A. I. Forsyth Vineel Nagisetty Greg Mori 17 0 0 02 Feb 2024
ICTSurF: Implicit Continuous-Time Survival Functions with Neural Networks C. Puttanawarut Panu Looareesuwan Romen Samuel Wabina Prut Saowaprut 24 1 0 10 Dec 2023
SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/Records Le Hung Eng-Jon Ong Miroslaw Bober 29 1 0 16 Nov 2023
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling Mert Ketenci Shreyas Bhave Noémie Elhadad A. Perotte 27 0 0 03 Nov 2023
DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU Munib Mesinovic Peter Watkinson Ting Zhu 20 0 0 28 Oct 2023
Predicting Survival Time of Ball Bearings in the Presence of Censoring Christian Marius Lillelund Fernando Pannullo Morten Opprud Jakobsen Christian Fischer Pedersen 30 2 0 13 Sep 2023
Copula-Based Deep Survival Models for Dependent Censoring Ali Hossein Gharari Foomani Michael Cooper Russell Greiner Rahul G. Krishnan 28 10 0 20 Jun 2023
Deep Learning for Survival Analysis: A Review S. Wiegrebe Philipp Kopper R. Sonabend Bernd Bischl Andreas Bender 21 64 0 24 May 2023
Learning Survival Distribution with Implicit Survival Function Yu Ling Weimin Tan Bo Yan CML 19 2 0 24 May 2023
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information George H. Chen 16 1 0 11 May 2023
Neural Fine-Gray: Monotonic neural networks for competing risks Vincent Jeanselme Changwon Yoon Brian D. M. Tom Jessica Barrett 16 7 0 11 May 2023
Using Geographic Location-based Public Health Features in Survival Analysis Navid Seidi Ardhendu Shekhar Tripathy Sajal Kumar Das 16 4 0 16 Apr 2023
Modelling customer churn for the retail industry in a deep learning based sequential framework Juan Pablo Equihua Henrik Nordmark Maged Ali B. Lausen 11 0 0 02 Apr 2023
Deep Clustering Survival Machines with Interpretable Expert Distributions Bo-Jian Hou Hongming Li Zhicheng Jiao Zhen Zhou Hao Zheng Yong-Xian Fan 36 3 0 27 Jan 2023
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions Jesse Islam M. Turgeon R. Sladek S. Bhatnagar CML 21 0 0 16 Jan 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records E. Steinberg Jason Alan Fries Yizhe Xu N. Shah OOD AI4TS 36 13 0 09 Jan 2023
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation J. Quiroz D. Brieger Louisa R Jorm R. Sy B. Hsu B. Gallego 22 0 0 22 Nov 2022
Variable selection for nonlinear Cox regression model via deep learning Kexuan Li 33 6 0 17 Nov 2022
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models Mohammadreza Rezaei Reza Saadati Fard Ebrahim Pourjafari Navid Ziaei Amir Sameizadeh M. Shafiee M. Alavinia M. Abolghasemian Nick Sajadi 30 1 0 27 Oct 2022
Deep conditional transformation models for survival analysis Gabriele Campanella Lucas Kook I. Häggström Torsten Hothorn Thomas J. Fuchs 21 2 0 20 Oct 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen 31 2 0 21 Jun 2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data Chirag Nagpal Willa Potosnak A. Dubrawski CML OOD 35 21 0 15 Apr 2022
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture Ebrahim Pourjafari Navid Ziaei Mohammadreza Rezaei Amir Sameizadeh M. Shafiee M. Alavinia M. Abolghasemian Nick Sajadi BDL 9 4 0 09 Apr 2022
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models Abdallah Alabdallah Mattias Ohlsson Sepideh Pashami Thorsteinn Rögnvaldsson CML 14 19 0 28 Feb 2022
Counterfactual Phenotyping with Censored Time-to-Events Chirag Nagpal Mononito Goswami K. Dufendach A. Dubrawski CML 22 27 0 22 Feb 2022
SurvTRACE: Transformers for Survival Analysis with Competing Events Zifeng Wang Jimeng Sun 33 67 0 02 Oct 2021
A Deep Variational Approach to Clustering Survival Data Laura Manduchi Ricards Marcinkevics M. Massi Thomas Weikert Alexander Sauter ... F. Vasella M. Neidert M. Pfister Bram Stieltjes Julia E. Vogt 19 29 0 10 Jun 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 42 59 0 16 Jan 2021
DeepHazard: neural network for time-varying risks Denise Rava Jelena Bradic 11 7 0 26 Jul 2020
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 115 1,231 0 02 Jun 2016