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Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with
  Competing Risks
v1v2v3 (latest)

Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks

10 December 2020
Sejin Kim
M. Kazmierski
B. Haibe-Kains
ArXiv (abs)PDFHTML

Papers citing "Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks"

3 / 3 papers shown
Title
MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation
MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation
Christian Marius Lillelund
Ali Hossein Gharari Foomani
Weijie Sun
Shi-ang Qi
Russell Greiner
53
1
0
10 Sep 2024
Advancing Head and Neck Cancer Survival Prediction via Multi-Label
  Learning and Deep Model Interpretation
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
Meixu Chen
Kai Wang
Jing Wang
84
0
0
09 May 2024
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using
  Multimodal Data
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data
Numan Saeed
Roba Al Majzoub
I. Sobirov
Mohammad Yaqub
60
25
0
25 Feb 2022
1