SurvivalNet: Predicting patient survival from diffusion weighted
magnetic resonance images using cascaded fully convolutional and 3D
convolutional neural networks

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks

20 February 2017

Florian Ettlinger

Georgios Kaissis

Sebastian J. Schlecht

A. Valentinitsch

Seyed-Ahmad Ahmadi

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Papers citing "SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks"

6 / 6 papers shown

Title
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling Mert Ketenci Shreyas Bhave Noémie Elhadad A. Perotte 76 0 0 03 Nov 2023
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification Phawis Thammasorn Daniel Hippe W. Chaovalitwongse M. Spraker L. Wootton Matthew Nyflot Stephanie E. Combs J. Peeken Eric Ford 20 0 0 28 Oct 2019
Prediction of New Onset Diabetes after Liver Transplant Angeline Yasodhara M. Bhat Anna Goldenberg 50 1 0 03 Dec 2018
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans Qiangguo Jin Zhao-Peng Meng Changming Sun Leyi Wei R. Su MedIm 116 360 0 04 Nov 2018
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks Lei Bi Jinman Kim Ashnil Kumar Dagan Feng MedIm 95 82 0 10 Apr 2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks P. Christ Florian Ettlinger Felix Grün M. Elshaer Jana Lipkova ... Julian Holch Wieland Sommer R. Braren V. Heinemann Bjoern Menze MedIm 75 331 0 20 Feb 2017