Pinned Repositories
2015_Face_Detection
CVPR2015 Cascade CNNs for Face Detection
3D_DenseSeg
The implementation of 3D_DenseSeg for infant brain MRI segmentation
abide
ABIDE Preprocessed Initiative
AccSeg-Net
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth (MICCAI 2021)
ACRN_Chest_X-ray_IA
Learning Deformable Registration of Medical Images with Anatomical Constraints
ACTA-Reg-Net
An Auto-Context based Tissue-Aware Deformable Registration Network (ACTA-Reg-Net) for Infant Brain MR Images
dilation_erosion_conv_freq
we apply convolution and frequency multiplication to obtain the dilation and erosion results
lddmm-ot
MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration
Skin-Cancer-Detection-System-using-Image-Processing
Major Project of final semester
synem
Paper on Symmetric Diffeomorphic Non-Linear Registration for Multi-Modality images based on the EM algorithm
hushunbo's Repositories
hushunbo/Skin-Cancer-Detection-System-using-Image-Processing
Major Project of final semester
hushunbo/lddmm-ot
MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration
hushunbo/3D_DenseSeg
The implementation of 3D_DenseSeg for infant brain MRI segmentation
hushunbo/abide
ABIDE Preprocessed Initiative
hushunbo/adhd200-1
ADHD200 preprocessed
hushunbo/ANTs
Advanced Normalization Tools (ANTs)
hushunbo/ANTsPy
Advanced Normalization Tools in Python
hushunbo/Brain-Tissue-Segmentation-Using-Deep-Learning-Pipeline-NeuroNet
This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset
hushunbo/DAT5
General Assembly's Data Science course in Washington, DC
hushunbo/Deep-learning-based-segmentation
hushunbo/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
hushunbo/dipy
Diffusion MR imaging in Python
hushunbo/gryds
A Python package for geometric transformations of images for data augmentation in deep learning
hushunbo/HRNet-Facial-Landmark-Detection
High-resolution representation learning (HRNets) for facial landmark detection
hushunbo/HRNet-FCOS
High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm
hushunbo/HRNet-Image-Classification
Train the HRNet model on ImageNet
hushunbo/HRNet-MaskRCNN-Benchmark
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
hushunbo/HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
hushunbo/HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
hushunbo/image_lddmm_tensorflow
Image mapping using the LDDMM algorithm, implemented in tensorflow
hushunbo/lddmmMASGD
This executable file is used for 3D brain MRI registration
hushunbo/MRtrix3_connectome
Generate subject connectomes from raw image data and perform inter-subject connection density normalisation, using tools provided in the MRtrix3 software package.
hushunbo/NiftyNet
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
hushunbo/niftyreg
This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities
hushunbo/nipype
Workflows and interfaces for neuroimaging packages
hushunbo/pdd_net
Probabilistic Dense Displacement Network (3D discrete deep learning registration)
hushunbo/scikit-image
Image processing in Python
hushunbo/scikit-learn-book
Source code for the "Learning scikit-learn: Machine Learning in Python"
hushunbo/SuperElastix
Official SuperElastix repository
hushunbo/wilcoxon-exact
Exact p-values for Wilcoxon signed-rank test in polynomial time.