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48 public repositories
matching this topic...
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
Updated
Jul 24, 2020
Jupyter Notebook
Attention-based Deep MIL implementation and application
Updated
Jan 7, 2022
Python
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Updated
May 14, 2024
Python
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Updated
Apr 18, 2024
Python
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Updated
Dec 22, 2020
Jupyter Notebook
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
Improving Personalized Prediction of Cancer Prognoses with Clonal Evolution Models
Updated
Sep 23, 2019
Python
DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
Updated
Sep 22, 2024
Python
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
Updated
Aug 13, 2019
Python
Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
Updated
Apr 9, 2024
Python
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
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Jul 13, 2020
Python
Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression -- BIBM 2022
Updated
Dec 6, 2022
Python
GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images
Updated
Aug 24, 2023
Jupyter Notebook
We provide a method to extract the tractographic features from structural MR images for patients with brain tumor
Updated
Nov 8, 2018
Python
Deep-learning (U-NET) CNN model for fully automatic glioma segmentation in 3D volume of MRI data, Survival prediction using different algorithms
Updated
Apr 19, 2021
Jupyter Notebook
[ACM-BCB 2023 Oral Presentation] Official repository of "Deep learning-based survival prediction using DNA methylation-derived 3D genomic information"
Updated
Apr 30, 2024
Python
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
Updated
Sep 22, 2024
Python
Code for a paper on estimation and evaluation of penalized survival models with high dimensional left-truncated and right-censored (LTRC) survival data
[MICCAI2023] XSurv: Merging-Diverging Hybrid Transformer Networks for Survival Prediction
Updated
Oct 2, 2023
Python
Survival Analysis of Lung Cancer Patients
Updated
Jul 26, 2022
Jupyter Notebook
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