A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer

10 April 2018

Papers citing "A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer"

9 / 9 papers shown

Title
Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions Lev V. Utkin Semen P. Khomets Vlada A. Efremenko A. Konstantinov Natalya M. Verbova 15 0 0 09 Jun 2025
Large Language Model as a Universal Clinical Multi-task Decoder Yujiang Wu Hongjian Song Jiawen Zhang Xumeng Wen Shun Zheng Jiang Bian 94 2 0 18 Jun 2024
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series Jiawen Zhang Shun Zheng Wei Cao Jiang Bian Jia Li AI4TS 62 30 0 14 Jun 2023
A new smart-cropping pipeline for prostate segmentation using deep learning networks D. Zaridis E. Mylona Nikolaos S. Tachos K. Marias N. Papanikolaou Manolis Tsiknakis D. Fotiadis MedIm 66 6 0 06 Jul 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 93 30 0 18 Apr 2021
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models Lev V. Utkin M. Kovalev E. Kasimov 78 10 0 05 May 2020
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach Yao Qiang X. Li D. Zhu 61 16 0 22 Mar 2020
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks Chirag Nagpal Xinyu Li A. Dubrawski OOD 165 123 0 02 Mar 2020
A weighted random survival forest Lev V. Utkin A. Konstantinov V. Chukanov M. V. Kots M. Ryabinin A. Meldo 93 41 0 01 Jan 2019