madavid128

Trabecular_Segmentation_Avizo

Method for automatically segmenting trabecular and cortical bone in CT scans, using Avizo.

STew

Uncover spatially informed variations underlying single-cell spatial transcriptomics with STew.

Datacenter_Multipage_DashApp

oai-xray-tkr-klg

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

tiatoolbox

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

opencap-core

Main OpenCap processing pipeline

sit2stand-analysis

SRGAN

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

multiview

Awesome-Incomplete-multi-view-clustering

A collection of incomplete multi-view clustering paper

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

mvlearn

Python package for multi-view machine learning

verteseg

Get DICOM masks of vertebrae from sagittal IDEAL (Iterative Decomposition of water and fat with Echo Asymmetric and Least-squares estimation) spine MR images

panoptic-lifting

[CVPR23 Highlight] Implementation for Panoptic Lifting

Anomaly-Aware-3D-Segmentation

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

MRiLab

A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform

predictKAM

Predict the knee adduction moment using motion capture marker positions.

FAE

FeAture Explorer

CU-Anschutz-HPC-documentation

All documentation associated with bioinformatics tutorial on the Alpine cluster

nnUNet

knee-segmentation

Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage

MESCnn

MESCnn: MESC classification by neural network

histolab

Library for Digital Pathology Image Processing

HistoMIL

A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.

HistoQC

HistoQC is an open-source quality control tool for digital pathology slides

spotlight

Interactively explore unstructured datasets from your dataframe.

seurat

R toolkit for single cell genomics

WholeSlideImageAnalysisWithQuPath

samapi

Segment Anything Model API