DIAL-RPI

FreehandUSRecon

Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.

Attention-Reg

PIPO-FAN

PIPO-FAN for multi organ segmentation over partial labeled datasets using pytorch

FVR-Net

CVD-Risk-Estimator

A deep learning model (Tri2D-Net) for predicting cardiovascular disease risks from lung cancer screening LDCT

SCO-SSL

A python (PyTorch) implementation of Shadow-consistent Semi-supervised Learning (SCO-SSL) method for prostate ultrasound segmentation

FedCross

COVID19-ICUPrediction

Predicting ICU admission based on initial CT images and non-imaging data.

Fed-MENU

A python (PyTorch) implementation of federated multi-encoding U-Net (Fed-MENU) method for federated learning-based multi-organ segmentation with inconsistent labels.

KAMP-Net

Deep learning for mortality prediction from low-dose CT images

Trustworthiness-of-Medical-XAI

PTN

A python (PyTorch) implementation of Polar Transform Network (PTN) method for prostate ultrasound segmentation

Regression-Metric-Loss

A loss function originated for regression tasks to learn a representation manifold that is isometric to the label space.

Frame-to-Volume-Registration

2D Ultrasound Frame to 3D Ultrasound Volume Registration (FVReg) pipeline.

Spectral-Adversarial-Data-Augmentation

Task-Oriented-CT-Denoising_TOD-Net

AnaXNet-Anatomy-Aware-CXR-Classification

UCAT

Unsupervised Cross-domain Adversarial Training

BOWDANet

Source code for BOWDANet

imgaug

Image augmentation for machine learning experiments.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch.github.io

The website for PyTorch