DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network

2 June 2016

Papers citing "DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network"

50 / 51 papers shown

Title
Learning Survival Distributions with the Asymmetric Laplace Distribution Deming Sheng Ricardo Henao 28 0 0 06 May 2025
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction Aiman Farooq Azad Singh Deepak Mishra S. Chaudhury 18 0 0 05 May 2025
TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis Ayoub Abraich CML 17 0 0 03 May 2025
Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis Jiaxiang Cheng Guoqiang Hu 24 0 0 06 Apr 2025
Practical Evaluation of Copula-based Survival Metrics: Beyond the Independent Censoring Assumption Christian Marius Lillelund Shi-ang Qi Russell Greiner 57 0 0 26 Feb 2025
Deep Partially Linear Transformation Model for Right-Censored Survival Data Junkai Yin Yue Zhang Zhangsheng Yu 64 0 0 10 Dec 2024
Toward Conditional Distribution Calibration in Survival Prediction Shi-ang Qi Yakun Yu Russell Greiner 11 0 0 27 Oct 2024
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis Alberto Archetti Eugenio Lomurno Diego Piccinotti Matteo Matteucci 29 2 0 20 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 16 10 0 06 Sep 2024
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks Xiaotong Sun Peijie Qiu Shengfan Zhang OffRL 22 0 0 19 Jul 2024
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data Lukas Burk John Zobolas Bernd Bischl Andreas Bender Marvin N. Wright R. Sonabend 23 2 0 06 Jun 2024
Clustering Survival Data using a Mixture of Non-parametric Experts Gabriel C. Buginga Edmundo de Souza e Silva 27 0 0 24 May 2024
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration Shiguang Qi Yakun Yu Russell Greiner 20 4 0 12 May 2024
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks Wankang Zhai OOD 20 0 0 11 May 2024
Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system Jordi Grau-Escolano Aleix Bassolas Julian Vicens 16 2 0 26 Apr 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure Zhiyue Zhang Yao Zhao Yan Xu 19 0 0 04 Apr 2024
Robust Survival Analysis with Adversarial Regularization Michael Potter Stefano Maxenti Michael Everett AAML 6 0 0 26 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 13 2 0 17 Nov 2023
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction Xiaoyang Ruan Liwei Wang C. Thongprayoon W. Cheungpasitporn Hongfang Liu OOD 11 2 0 14 Aug 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 17 4 0 07 Aug 2023
Reinterpreting survival analysis in the universal approximator age Sören Dittmer M. Roberts J. Preller AIX-COVNET Collaboration James H. F. Rudd J. Aston Carola-Bibiane Schönlieb 19 0 0 25 Jul 2023
An empirical study of using radiology reports and images to improve ICU mortality prediction Ming-Yen Lin Song Wang Ying Ding Lihui Zhao Fei-Yue Wang Yifan Peng 25 10 0 20 Jun 2023
The Deep Promotion Time Cure Model Victor Medina-Olivares Stefan Lessmann Nadja Klein 11 0 0 19 May 2023
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images Hyeonsoo Lee Junha Kim Eunkyung Park Minjeong Kim Taesoo Kim Thijs Kooi MedIm 18 13 0 28 Mar 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Feng Xia Mehdi Naseriparsa Francesco Osborne 14 236 0 24 Mar 2023
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks Zohreh Hajiakhondi-Meybodi Arash Mohammadi J. Abouei Konstantinos N. Plataniotis 14 2 0 21 Mar 2023
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study Yaozhi Lu S. Aslani A. Zhao Ahmed H. Shahin D. Barber M. Emberton Daniel C. Alexander Joseph Jacob 27 6 0 19 Mar 2023
Fair Decision-making Under Uncertainty Wenbin Zhang Jeremy C. Weiss 14 37 0 29 Jan 2023
Deep Clustering Survival Machines with Interpretable Expert Distributions Bo-Jian Hou Hongming Li Zhicheng Jiao Zhen Zhou Hao Zheng Yong-Xian Fan 23 3 0 27 Jan 2023
From Risk Prediction to Risk Factors Interpretation. Comparison of Neural Networks and Classical Statistics for Dementia Prediction C. Huber 23 0 0 17 Jan 2023
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions Jesse Islam M. Turgeon R. Sladek S. Bhatnagar CML 11 0 0 16 Jan 2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics Shu Hu George H. Chen 9 13 0 18 Nov 2022
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Elise Dumas A. Hamy S. Houzard Eva Hernandez A. Toussaint ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 6 2 0 15 Nov 2022
Extending the Neural Additive Model for Survival Analysis with EHR Data M. Peroni Marharyta Kurban Sun-Young Yang Young Sun Kim H. Kang J. Song 9 6 0 15 Nov 2022
Deep conditional transformation models for survival analysis Gabriele Campanella Lucas Kook I. Häggström Torsten Hothorn Thomas J. Fuchs 8 2 0 20 Oct 2022
Universal hidden monotonic trend estimation with contrastive learning Edouard Pineau S. Razakarivony Mauricio Gonzalez A. Schrapffer 14 0 0 18 Oct 2022
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images Tian-peng Liu R. Su Changming Sun Xiu-Ting Li Leyi Wei 16 20 0 11 Oct 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 13 4 0 23 Aug 2022
Hazard Gradient Penalty for Survival Analysis Seungjae Jung KyungHyun Kim 17 0 0 27 May 2022
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis Tim Pearce Jong-Hyeon Jeong Yichen Jia Jun Zhu 11 2 0 26 May 2022
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 6 40 0 30 Mar 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning Weicheng Zhu C. Fernandez‐Granda N. Razavian SSL 8 4 0 23 Mar 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications Bokun Wang Tianbao Yang 22 31 0 24 Feb 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer Xuan Xu Prateek Prasanna ViT MedIm 8 7 0 03 Feb 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 13 22 0 05 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 4 4 0 26 Nov 2021
Dynamic prediction of time to event with survival curves Jie Zhu B. Gallego 17 2 0 26 Jan 2021
X-CAL: Explicit Calibration for Survival Analysis Mark Goldstein Xintian Han A. Puli A. Perotte Rajesh Ranganath 23 36 0 13 Jan 2021
Deep Landscape Forecasting for Real-time Bidding Advertising Kan Ren Jiarui Qin Lei Zheng Zhengyu Yang Weinan Zhang Yong Yu OOD 20 37 0 07 May 2019
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer Hongming Li P. Boimel James Janopaul-Naylor H. Zhong Ying Xiao E. Ben-Josef Yong-Xian Fan 6 46 0 05 Jan 2019