se7enldp's repositories
SpatioTemporalCNN_lvquan
Left ventricle quantification through spatio-temporal CNNs
Brats21_KAIST_MRI_Lab
Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge
CardiacQuanNet
[IEEE-JBHI 2020] TensorFlow/Keras implementation: Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
CFDnet
domain adaptation with CF distance for medical image segmentation
Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
DirectionalFeature
Learning Directional Feature Maps for Cardiac MRI Segmentation (MICCAI2020)
Dive-into-DL-PyTorch
本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。
LGE_SRSCN
Source code for "Cardiac Segmentation from LGE MRI Using Deep NeuralNetwork Incorporating Shape and Spatial Priors" paper
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MFAUNet
cardiac ventircle segmentation
MFU-Net
MFU-Net
MvMM-RegNet
Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
PythonPark
Python开源项目之「自学编程之路」，学习指南+技术干货+大厂面经+资源分享
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
semi_curriculum
Code for our arxiv preprint: https://arxiv.org/abs/1904.05236
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.