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[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Sparsity-aware deep learning inference runtime for CPUs
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Implementation of the embedded deformation algorithm
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.
Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Experimental code and examples for: Automated analysis of whole brain vasculature using machine learning
Vascular Tree Synthesis Software. You will need CMake and ITK to run VascuSynth. Read the paper in the Insight Journal for instructions.
Jerman's tubular (vessel) and spherical (blob) enhancement filters
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Algorithmic Methods of Model-based Medical Image Segmentation Using Python
Image Segmentation using kNN and Region Based Active Contour Model
This is a resouce list for low light image enhancement
⚡ Open-source software for deep learning-based digital pathology
A framework for high-performance medical image processing, neural network inference and visualization
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Code of SIGGRAPH 2023 Conference paper: StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video
MedicalSeg is an easy-to-use 3D medical image segmentation toolkit that supports the whole segmentation process. Specially, We provide data preprocessing acceleration, high precision model on COVID…
Official PyTorch implementation of "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network"