• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • Created almost 2 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Beta Version. Browse and run all mhub models directly within 3D Slicer.

More Repositories

1

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Jupyter Notebook
1,120
star
2

SlicerRadiomics

A Slicer extension to provide a GUI around pyradiomics
Python
105
star
3

foundation-cancer-image-biomarker

Code and evaluation repository for the paper
Jupyter Notebook
71
star
4

DeepCAC

Fully automatic coronary calcium risk assessment using Deep Learning.
Python
36
star
5

SDoH

Large Language Models to Identify Social Determinants of Health in Electronic Health Records | Paper: https://www.nature.com/articles/s41746-023-00970-0
Python
36
star
6

DeepContrast

A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.
Python
20
star
7

ChatGPT_NCCN

Code base, outputs, scoring guidelines and annotations for ChatGPT NCCN evaluation | Paper: https://jamanetwork.com/journals/jamaoncology/fullarticle/2808731
16
star
8

TotalSegmentator-to-nnUNet-format-convert

Convert the TotalSegmentator dataset into the nnUNet format
Python
12
star
9

CXR-Lung-Risk

Deep learning to estimate lung-related mortality from chest radiographs.
Jupyter Notebook
8
star
10

DL-RT-segmention

Clinical validation of the DL-RT segmention
6
star
11

DeepHeartRO

Python
5
star
12

OncQA

The effect of using a large language model to respond to patient messages | Paper: https://arxiv.org/abs/2310.17703
5
star
13

pyradiomics_ibsi-benchmark

Small package containing code to compare PyRadiomics features to the IBSI benchmark
Python
4
star
14

onc-ai-factsheet

4
star
15

bodycomp

Python
3
star
16

Eso_alpha

Deep Learning-Based Natural Language Processing to Automate Esophagitis Severity Grading from the Electronic Health Records | Paper: https://arxiv.org/pdf/2303.13722.pdf
Python
3
star
17

NLP_CancerSDoH

NLP methods to explore SDoH underyling cancer disparities
Jupyter Notebook
2
star
18

fake2real

Python
2
star
19

body-composition

Python
1
star
20

aimi_alpha

AIMI (alpha).
Jupyter Notebook
1
star
21

mhub

Repository for the mhub project.
Jupyter Notebook
1
star
22

FaceAge

Decoding biological age from face photographs using deep learning.
Jupyter Notebook
1
star