This is the official code of Prior Guided 3D Medical Image Landmark Localization

Landmark detection engine for 3D medical images (MICCAI workshop 2021)

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

[Medical Image Analysis 2022] Official code of "Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection"

The official implementation of CortexODE

A deep-learning approach for direct whole-heart mesh reconstruction

we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

Code for the MICCAI 2019 paper Balsiger et al., Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation

MICCAI 2019-2023 Open Source Papers

Implementation of our MICCAI and invited IJCARS paper on detecting anatomical landmarks of the pelvis in X-ray images from arbitrary views.

Using Yu Chen et.al AdversarialPoseNet for landmark localization in 2D medical images (lower extremities)

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

official repository of paper "An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images"

Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)

Automatic tool for landmark localisation in 3D medical images

[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657

Tensorflow Implementation of Multiple Landmark Detection using Multi-Agent Reinforcement Learning Paper