ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.03280
  4. Cited By
A Deep Active Survival Analysis Approach for Precision Treatment
  Recommendations: Application of Prostate Cancer

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

10 April 2018
Milad Zafar Nezhad
Najibesadat Sadati
Kai Yang
D. Zhu
ArXiv (abs)PDFHTML

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

17 / 17 papers shown
Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions
Ensemble-Based Survival Models with the Self-Attended Beran Estimator PredictionsComputational Mathematics and Modeling (CMM), 2025
Lev V. Utkin
Semen P. Khomets
Vlada A. Efremenko
A. Konstantinov
Natalya M. Verbova
184
1
0
09 Jun 2025
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and
  Several Attention Mechanisms
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms
Lev V. Utkin
Semen P. Khomets
Vlada A. Efremenko
A. Konstantinov
299
2
0
10 Dec 2024
Predicting Breast Cancer Survival: A Survival Analysis Approach Using
  Log Odds and Clinical Variables
Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical VariablesOALib (OALib), 2024
Opeyemi Sheu Alamu
Bismar Jorge Gutierrez Choque
Syed Wajeeh Abbs Rizvi
Samah Badr Hammed
Isameldin Elamin Medani
Md Kamrul Siam
Waqar Ahmad Tahir
86
1
0
17 Oct 2024
Large Language Model as a Universal Clinical Multi-task Decoder
Large Language Model as a Universal Clinical Multi-task Decoder
Yujiang Wu
Hongjian Song
Jiawen Zhang
Xumeng Wen
Shun Zheng
Jiang Bian
312
2
0
18 Jun 2024
Bayesian Active Learning for Censored Regression
Bayesian Active Learning for Censored Regression
F. B. Hüttel
Christoffer Riis
Filipe Rodrigues
Francisco Câmara Pereira
233
2
0
19 Feb 2024
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the
  Survival Models
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models
Lev V. Utkin
Danila Eremenko
A. Konstantinov
396
0
0
11 Dec 2023
SurvBeX: An explanation method of the machine learning survival models
  based on the Beran estimator
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimatorInternational Journal of Data Science and Analysis (IJDSA), 2023
Lev V. Utkin
Danila Eremenko
A. Konstantinov
244
5
0
07 Aug 2023
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time
  Series
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time SeriesKnowledge Discovery and Data Mining (KDD), 2023
Jiawen Zhang
Shun Zheng
Wei Cao
Jiang Bian
Jia Li
AI4TS
203
61
0
14 Jun 2023
Deep Learning for Survival Analysis: A Review
Deep Learning for Survival Analysis: A ReviewArtificial Intelligence Review (AIR), 2023
S. Wiegrebe
Philipp Kopper
R. Sonabend
B. Bischl
Andreas Bender
492
168
0
24 May 2023
A new smart-cropping pipeline for prostate segmentation using deep
  learning networks
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
202
8
0
06 Jul 2021
SurvNAM: The machine learning survival model explanation
SurvNAM: The machine learning survival model explanationNeural Networks (NN), 2021
Lev V. Utkin
Egor D. Satyukov
A. Konstantinov
AAMLFAtt
259
39
0
18 Apr 2021
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of
  machine learning survival models
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
Lev V. Utkin
M. Kovalev
E. Kasimov
286
12
0
05 May 2020
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention
  Network Approach
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network ApproachIEEE International Joint Conference on Neural Network (IJCNN), 2020
Yao Qiang
X. Li
D. Zhu
294
17
0
22 Mar 2020
Deep Survival Machines: Fully Parametric Survival Regression and
  Representation Learning for Censored Data with Competing Risks
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing RisksIEEE journal of biomedical and health informatics (JBHI), 2020
Chirag Nagpal
Xinyu Li
A. Dubrawski
OOD
442
161
0
02 Mar 2020
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions
  Using Deep Survival Analysis
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis
Arash Kalatian
Bilal Farooq
HAI
229
1
0
16 Apr 2019
A weighted random survival forest
A weighted random survival forest
Lev V. Utkin
A. Konstantinov
V. Chukanov
M. V. Kots
M. Ryabinin
A. Meldo
250
42
0
01 Jan 2019
Deep Learning Approach for Predicting 30 Day Readmissions after Coronary
  Artery Bypass Graft Surgery
Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery
Ramesh B. Manyam
Yanqing Zhang
W. Keeling
Jose Binongo
M. Kayatta
Seth Carter
98
4
0
03 Dec 2018
1
Page 1 of 1