Pinned Repositories
3DSRcycleGAN
Atrial-fibrillation-ECG-automatic-recognition
房颤心电图自动识别
BME_GUI
第五届生物医学工程创新大赛一等奖作品----脑部核磁共振图像预处理GUI
cvpr2019
cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理
DeepVolume
Brain MRI super-resolution based on thick-section MR images from two planes.
DualGAN
DualGAN-tensorflow: tensorflow implementation of DualGAN
Evaluation-of-Lung-Involvement
Evaluation of Lung Involvement in COVID-19 Pneumonia Based on Ultrasound Images
Intensity-Normalization-with-CycleGAN
RevGAN
RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D and 3D. These architectures are approximately invertible by design and thus partially satisfy cycle-consistency before training even begins. Furthermore, since invertible architectures have constant memory complexity in depth, these models can be built arbitrarily deep without requiring additional memory. In the paper we demonstrate superior quantitative output on the Cityscapes and Maps datasets at near constant memory budget.
TCIA
Medical data arrange
ZacHu-ZYH's Repositories
ZacHu-ZYH/BME_GUI
第五届生物医学工程创新大赛一等奖作品----脑部核磁共振图像预处理GUI
ZacHu-ZYH/Atrial-fibrillation-ECG-automatic-recognition
房颤心电图自动识别
ZacHu-ZYH/Intensity-Normalization-with-CycleGAN
ZacHu-ZYH/DeepVolume
Brain MRI super-resolution based on thick-section MR images from two planes.
ZacHu-ZYH/RevGAN
RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D and 3D. These architectures are approximately invertible by design and thus partially satisfy cycle-consistency before training even begins. Furthermore, since invertible architectures have constant memory complexity in depth, these models can be built arbitrarily deep without requiring additional memory. In the paper we demonstrate superior quantitative output on the Cityscapes and Maps datasets at near constant memory budget.
ZacHu-ZYH/TCIA
Medical data arrange
ZacHu-ZYH/3DSRcycleGAN
ZacHu-ZYH/cvpr2019
cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理
ZacHu-ZYH/DualGAN
DualGAN-tensorflow: tensorflow implementation of DualGAN
ZacHu-ZYH/Evaluation-of-Lung-Involvement
Evaluation of Lung Involvement in COVID-19 Pneumonia Based on Ultrasound Images
ZacHu-ZYH/medSynthesisV1
This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework
ZacHu-ZYH/memcnn
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
ZacHu-ZYH/OCIF
ZacHu-ZYH/DeepTEPP
ZacHu-ZYH/ERTN
ZacHu-ZYH/Inside-Outside-Guidance
Interactive Object Segmentation with Inside-Outside Guidance
ZacHu-ZYH/PreciseRoIPooling
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
ZacHu-ZYH/SENet-Tensorflow
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
ZacHu-ZYH/srh_cnn
Code repository for our paper titled "Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks" published in Nature Medicine, January 2020
ZacHu-ZYH/UDA-GS
ZacHu-ZYH/Video_Object_Segmentation
U-Net Based Multi-instance Video Object Segmentation
ZacHu-ZYH/Wangshiyao_yolov3_sessd_code
ZacHu-ZYH/ZacHu-ZYH.github.io
ZacHu-ZYH/ZerojumpLine.github.io
Zeju Li's Homepage