dcbia-ortholab Goto Github PK
Type: Organization
Bio: Dental and Craniofacial Bionetwork for Image Analysis (DCBIA)
Location: University Of Michigan - School of Dentistry
Blog: https://sites.google.com/a/umich.edu/dentistry-image-computing/
Type: Organization
Bio: Dental and Craniofacial Bionetwork for Image Analysis (DCBIA)
Location: University Of Michigan - School of Dentistry
Blog: https://sites.google.com/a/umich.edu/dentistry-image-computing/
Dental model seg challenge docker repository build
Automatic landmark identification in CBCT scans
Automatic Landmark Identification in Intra Oral scans
Automatic segmentation of CBCT scans with a 3D Unet
Automatic standardized orientation
CBCT segmentation with image processing and machine learning approaches
Cleft analysis tools
Cranio-Maxillofacial registration
Acquire features from a 3D object using a ray-cast approach.
Dental Tools IntensitySegmenter
JSON Web Tokens (JWT) user login form front end package
Multivariate Functional Shape Data Analysis (MFSDA) is a Matlab based package for statistical shape analysis. A multivariate varying coefficient model is introduced to build the association between the multivariate shape measurements and demographic information and other clinical variables. Statistical inference, i.e., hypothesis testing, is also included in this package, which can be used in investigating whether some covariates of interest are significantly associated with the shape information. The hypothesis testing results are further used in clustering based analysis, i.e., significant suregion detection. This MFSDA package is developed by Chao Huang and Hongtu Zhu from the BIG-S2 lab.
Multivariate Functional Shape Data Analysis in Python (MFSDA_Python) is a Python based package for statistical shape analysis. A multivariate varying coefficient model is introduced to build the association between the multivariate shape measurements and demographic information and other clinical, biological variables. Statistical inference, i.e., hypothesis testing, is also included in this package, which can be used in investigating whether some covariates of interest are significantly associated with the shape information. The hypothesis testing results are further used in clustering based analysis, i.e., significant suregion detection. This MFSDA package is developed by Chao Huang and Hongtu Zhu from the BIG-S2 lab.
Shape Analysis Explainability And Interpretability
Shape modeling and classification, extract shape features
A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS
Slicer extension to anonymize a batch of DICOM images.
SlicerCMF is the dissemination vehicle of powerful dental image analysis methodology based on 3D Slicer open-source software. SlicerCMF supports patient-specific decision making and assessment of the disease progression via registration of serial images. http://cmf.slicer.org/
This repository will contain the docker files that containerize Slicer CLIs and will be accessible through dsci
Infrastructure for generating the cmf.slicer.org website is available at https://github.com/slicercmf/slicercmf.github.io
The "Conda Path Manager" for Slicer simplifies Miniconda integration by managing installation paths and providing tools for executing Conda commands.
This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill in collaboration with the University of Michigan in Ann Arbor.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.