zhangjunhao's repositories
1D--Pytorch-ECG-Heartbeat-Classification
Binary classification of pathological heartbeats from ECG signals using 1D CNNs in PyTorch
2D-Medical-Denoising-Diffusion-Probabilistic-Model-
This is the repository for the paper "2D Medical Image Synthesis Using Transformer-based Denoising Diffusion Probabilistic Model".
3D-image-generator-diffusion
Unet+attention diffusion model for 3D image generation
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
Awesome-Implicit-Neural-Representations-in-Medical-imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
BCICIV2a-FBCSP
Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python
bear_fault_diagnosis
Bearing fault diagnosis model based on MCNN-LSTM
deep-image-prior
Image restoration with neural networks but without learning.
diffusion-ddpm
Implementation of "Denoising Diffusion Probabilistic Models", Ho et al., 2020
Diffusion-Models-for-Medical-Imaging
Diffusion Models for Medical Imaging
DiffusionIQT_MRI_denoising
An official repository for 'A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI' presented at NeurIPS DGM4H 2023
Digital-Image-Processing-for-Medical-Applications
This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.
fastmri-reproducible-benchmark
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
Fruit-Image-Classification-with-MATLAB
This is a fruit and vegetable classification project that uses a Convolutional Neural Network (CNN) with the Google Inception pre-trained model. The model is trained using Stochastic Gradient Descent and tested on a validation set to achieve 100% accuracy.
HFS-SDE
[TMI 2024] "High-Frequency Space Diffusion Model for Accelerated MRI"
hnc-tumour-seg
Clinical evaluation of deep learning for tumour delineation on [18F]FDG-PET/CT of head and neck cancer
MedSegDiff
Medical Image Segmentation with Diffusion Model
MIRTorch
A PyTorch-powered differentiable image reconstruction/optimization toolbox
NLP-basic-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
OpenSetRecognition-category
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
pytorch-attention
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
PyTorch-Tutorial-to-Super-Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Schizophrenia-classification-based-on-VGG-models
The released public code of the journal paper : "Detecting schizophrenia with 3D structural brain MRI using deep learning"
transfer-learning-code-category
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
Unet-Dental_X-Rays_Caries_Segmentation-segmentation
This notebook is baseline for caries segmentation on dental x-ray images for Panoramic Dental Dataset. For segmentation were used Unet + efficientnet_b0 architecture from segmentation_models_pytorch library.
wdm-3d-diffusion
PyTorch implementation for "WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis" (DGM4MICCAI 2024)