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Web-based 3D visualization + Python
An CUDA-based library for computed tomography (CT) reconstruction with differentiable operators.
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
A JupyterLab and Jupyter Notebook extension for formatting code with Ruff.
Contour-Guided Diffusion Models for Unpaired Image-to-Image Translation
SlicerModalityConverter is an open-source 3D Slicer extension designed for medical image-to-image (I2I) translation. The ModalityConverter module integrates multiple deep learning models trained fo…
This repository contains further information on the code of the IPCAI 2025 Paper: Automatic multi-view X-ray/CT registration using bone substructure contours
A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.
A python module for scientific analysis of 3D data based on VTK and Numpy
Astro template to help you build an interactive project page for your research paper
Official code repository for the MICCAI 2025 paper "UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation"
A package to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Python.
Very fast greedy diffeomorphic registration code
[ACCV 2024 (Oral)] Official Implementation of "RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace", Pragyan Shrestha, Chun Xie, Yuichi Yoshii, Itaru Kitahara
Differentiable, physics-based renderer for realistic ultrasound synthesis from MRI, enabling registration and reconstruction via PyTorch.
Fast registration of 3D preoperative CTs to 2D intraoperative X-rays
High-order spline interpolation in PyTorch
Euclidean distance transform in pytorch
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
[IEEE TMI 2024] Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
Vertebral-level CT/X-ray registration through joint 3D Radiative Gaussians (RadGS) reconstruction and 3D/3D registration.
Notebooks for working with The Cancer Imaging Archive datasets. Have you written one? Submit a PR!