Discover DIAL-RPI/Fed-MENU Open Source project by @DIAL-RPI

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Python
Created over 1 year ago
Updated about 1 year ago

DIAL-RPI

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

FreehandUSRecon

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

Python

Attention-Reg

Python

PIPO-FAN

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

Jupyter Notebook

FVR-Net

Python

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

Python

FedCross

Python

COVID19-ICUPrediction

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

Python

Trustworthiness-of-Medical-XAI

Jupyter Notebook

KAMP-Net

Deep learning for mortality prediction from low-dose CT images

Python

PTN

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

Python

Regression-Metric-Loss

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

Python

Frame-to-Volume-Registration

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

Python

Spectral-Adversarial-Data-Augmentation

Python

Task-Oriented-CT-Denoising_TOD-Net

Python

UCAT

Unsupervised Cross-domain Adversarial Training

Python

AnaXNet-Anatomy-Aware-CXR-Classification

DIAL-RPI/Fed-MENU

DIAL-RPI

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