Survival Prediction

29 papers with code • 1 benchmarks • 0 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

pykao/Modified-3D-UNet-Pytorch 28 Feb 2018

Quantitative analysis of brain tumors is critical for clinical decision making.

Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data

ANTsX/ANTsR 11 Jun 2020

Similarity-driven multi-view linear reconstruction (SiMLR) is an algorithm that exploits inter-modality relationships to transform large scientific datasets into smaller, more well-powered and interpretable low-dimensional spaces.

Conformalized Survival Analysis

zhimeir/cfsurv_paper 17 Mar 2021

Existing survival analysis techniques heavily rely on strong modelling assumptions and are, therefore, prone to model misspecification errors.

Personalized Survival Prediction with Contextual Explanation Networks

alshedivat/cen 30 Jan 2018

Accurate and transparent prediction of cancer survival times on the level of individual patients can inform and improve patient care and treatment practices.

Countdown Regression: Sharp and Calibrated Survival Predictions

stanfordmlgroup/cdr-mimic 21 Jun 2018

Probabilistic survival predictions from models trained with Maximum Likelihood Estimation (MLE) can have high, and sometimes unacceptably high variance.

Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction

pykao/BraTS2018-tumor-segmentation 20 Jul 2018

For segmentation, we utilize an existing brain parcellation atlas in the MNI152 1mm space and map this parcellation to each individual subject data.

Survival prediction using ensemble tumor segmentation and transfer learning

marianocabezas/challenges2018 4 Oct 2018

Moreover, predicting the survival of the patient using mainly imaging features, while being a desirable outcome to evaluate the treatment of the patient, it is also a difficult task.

Deep learning cardiac motion analysis for human survival prediction

UK-Digital-Heart-Project/4Dsurvival 8 Oct 2018

Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images.

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

christophbrgr/brats-orchestra 5 Nov 2018

This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i. e., 2012-2018.

Semi-Supervised Variational Autoencoder for Survival Prediction

sveinnpalsson/semivaebrats 10 Oct 2019

In this paper we propose a semi-supervised variational autoencoder for classification of overall survival groups from tumor segmentation masks.