brisyramshere

naf_cbct

SAM3D

[ISBI 2024] An implementation of SAM3D which adapts Segment Anything Model for Volumetric Medical Image Segmentation

yolov8-face

yolov8 face detection with landmark

HyperLandmark

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com

deformxfer

A C++ header-only implementation of "Deformation Transfer for Triangle Meshes"

Deformation-Transfer-for-Triangle-Meshes

A Python implementation of the paper "Deformation Transfer for Triangle Meshes" with 3D views in the browser.

ODISE

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

dino-vit-features

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

sd-dino

Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"

omniglue

Code release for CVPR'24 submission 'OmniGlue'

Matcher

[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

FM-OSD

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

DICOM-Viewer-with-Volume-Rendering

Experience seamless visualization of DICOM medical images with our DICOM Viewer with Volume Rendering. Powered by VTK and PyQt, this application offers surface and ray casting rendering options, allowing users to load DICOM files and fine-tune rendering parameters for precise analysis.

Dicom-Viewer

An application displaying 2D/3D Dicom

DCNN-BrainLandmarking

Implementation of BMVC 2023 Paper - "Single-Landmark vs. Multi-Landmark Deep Learning Approaches to Brain MRI Landmarking: a Case Study with Healthy Controls and Down Syndrome Individuals"

SuPreM

[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Medical-Image-Segmentation

MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

GPU-Marching-Cubes

A GPU implementation of the Marching Cubes algorithm for extracting surfaces from volumes using OpenCL and OpenGL

Medical-SAM-Adapter

Adapting Segment Anything Model for Medical Image Segmentation

GraCo

[CVPR 2024 Highlight] Official GraCo: Granularity-Controllable Interactive Segmentation.

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

UOD_universal_oneshot_detection

[MICCAI 2023] (early accept) UOD: universal oneshot detection of anatomical landmarks. https://arxiv.org/abs/2306.07615

ProtoSAM

Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models

SAM-Med3D

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

Registration-CorrMLP

[CVPR2024 Oral && Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration

MedCoSS

CVPR 2024 (Highlight)

PromptUNet

Interactive Medical Image Segmentation