DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

Computed tomography to body composition (Comp2Comp).

Learned Primal-Dual Reconstruction

Unified super-resolution and denoising of medical images in PyTorch

MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]

Preprocessing scripts: from dicom to aligned nitfy for SynthRAD2023 Grand Challenge

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

3D VQ-VAE-2 for high-resolution CT scan synthesis

Framework for designing, training and benchmarking sparse-view CT reconstruction algorithms; includes datasets, metrics, baselines and CLI so you can prototype new methods and compare fairly in minutes.

Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm

Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)

CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"

General deep learning-based fast image registration framework for clinical thoracic 4D CT data

A benchmark for deep learning-based low dose CT image denoising

Assorted machine learning implementations for medical data.

Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images