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48 public repositories
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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
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
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Aug 13, 2019
Python
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Updated
Apr 18, 2024
Python
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
Updated
Jul 13, 2020
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
DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
Updated
Jan 12, 2024
Python
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
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
this repository hold the supporting code for the blog post
Updated
Apr 17, 2019
Jupyter Notebook
Improving Personalized Prediction of Cancer Prognoses with Clonal Evolution Models
Updated
Sep 23, 2019
Python
Multi-layered network-based pathway activity inference using directed random walks
Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
Updated
Apr 9, 2024
Python
GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images
Updated
Aug 24, 2023
Jupyter Notebook
Code for a paper on estimation and evaluation of penalized survival models with high dimensional left-truncated and right-censored (LTRC) survival data
Gene Expression based Survival Prediction for Cancer Patients – A Topic Modeling Approach
Updated
Oct 23, 2019
Python
[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
This is my attempt on the Titanic Machine Learning challenge in Kaggle and Breast Cancer Prediction Challenge in Topcoder.
Updated
Jun 25, 2023
Jupyter Notebook
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