Continuous and Discrete-Time Survival Prediction with Neural Networks

15 October 2019

Papers citing "Continuous and Discrete-Time Survival Prediction with Neural Networks"

25 / 25 papers shown

Title
Survival Analysis as Imprecise Classification with Trainable Kernels A. Konstantinov Vlada A. Efremenko Lev V. Utkin 38 0 0 11 Jun 2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities Lucas Robinet Ahmad Berjaoui Elizabeth Cohen-Jonathan Moyal 55 0 0 01 May 2025
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis Alberto Archetti Eugenio Lomurno Diego Piccinotti Matteo Matteucci 210 2 0 20 Sep 2024
Fairness in Survival Analysis with Distributionally Robust Optimization Shu Hu George H. Chen 95 7 0 31 Aug 2024
Neural Network-Based Piecewise Survival Models Olov Holmer Erik Frisk Mattias Krysander 22 0 0 27 Mar 2024
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects Khiem Pham David A. Hirshberg Phuong-Mai Huynh-Pham Michele Santacatterina Ser-Nam Lim Ramin Zabih 61 1 0 01 Oct 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 60 13 0 04 Aug 2023
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression Hyunjun Lee Junhyun Lee Tae-Kil Choi Jaewoo Kang Sangbum Choi OOD CML 43 1 0 16 Jul 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records E. Steinberg Jason Alan Fries Yizhe Xu N. Shah OOD AI4TS 153 19 0 09 Jan 2023
Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions Anne Josiane Kouam A. C. Viana A. Tchana 21 0 0 05 Jan 2023
Multimodal Learning for Non-small Cell Lung Cancer Prognosis Yujiao Wu Yaxiong Wang Xiaoshui Huang Fan Yang Saiguang Ling Steven W. Su 29 2 0 07 Nov 2022
KL-divergence Based Deep Learning for Discrete Time Model Li Liu Xiangeng Fang Di Wang Weijing Tang Kevin He 30 1 0 10 Aug 2022
A Federated Cox Model with Non-Proportional Hazards Dekai Zhang Francesca Toni Matthew Williams FedML 110 9 0 11 Jul 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen 458 3 0 21 Jun 2022
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis Philipp Kopper S. Wiegrebe Bernd Bischl Andreas Bender David Rügamer 54 18 0 12 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 58 23 0 05 Jan 2022
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures R. Sonabend Andreas Bender Sandra Jeanne Vollmer 30 15 0 09 Dec 2021
Inverse-Weighted Survival Games Xintian Han Mark Goldstein A. Puli Thomas Wies A. Perotte Rajesh Ranganath OffRL 152 12 0 16 Nov 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 77 30 0 26 Oct 2021
SurvTRACE: Transformers for Survival Analysis with Competing Events Zifeng Wang Jimeng Sun 90 71 0 02 Oct 2021
The structure of online social networks modulates the rate of lexical change Jian Zhu David Jurgens 36 8 0 11 Apr 2021
Semi-Structured Deep Piecewise Exponential Models Philipp Kopper Sebastian Polsterl Christian Wachinger B. Bischl Andreas Bender David Rügamer 73 21 0 11 Nov 2020
WRSE -- a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU Jonathan Heitz Joanna Ficek M. Faltys T. Merz Gunnar Rätsch Matthias Huser 55 1 0 02 Nov 2020
DeepHazard: neural network for time-varying risks Denise Rava Jelena Bradic 45 7 0 26 Jul 2020
The Brier Score under Administrative Censoring: Problems and Solutions Håvard Kvamme Ørnulf Borgan 69 21 0 18 Dec 2019