DIAL-RPI/AnaXNet-Anatomy-Aware-CXR-Classification

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Created over 3 years ago
Updated over 3 years ago

DIAL-RPI/AnaXNet-Anatomy-Aware-CXR-Classification

DIAL-RPI

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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

Jupyter Notebook

FVR-Net

CVD-Risk-Estimator

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

Jupyter Notebook

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.

Trustworthiness-of-Medical-XAI

Jupyter Notebook

KAMP-Net

Deep learning for mortality prediction from low-dose CT images

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

UCAT

Unsupervised Cross-domain Adversarial Training