Stars
ISBI 2025 - Cephalometric Landmark Detection using Graph- and Image-aware Network with Landmark Contrastive Regularization
MICCAI'24 - DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
A curated list of resources for using LLMs to develop more competitive grant applications.
A Python package that uses task-based neurons to build neural networks.
PyTorch code and models for the DINOv2 self-supervised learning method.
tracking medical datasets, with a focus on medical imaging
A python (PyTorch) implementation of federated multi-encoding U-Net (Fed-MENU) method for federated learning-based multi-organ segmentation with inconsistent labels.
A python (PyTorch) implementation of Polar Transform Network (PTN) method for prostate ultrasound segmentation
Caffe with 3D CRF-RNN for medical image analysis
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
A C++ (Caffe) implementation of Triple-branch FCN for multi-organ localization in CT images
Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
A python (Pytorch) implementation of Beam Dose Decomposition for Dose Prediction [MICCAI 2022]
A python (PyTorch) implementation of Shadow-consistent Semi-supervised Learning (SCO-SSL) method for prostate ultrasound segmentation
Client side integration example source code and libraries for AI-Assisted Annotation SDK