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3d-cyclegan

3DCycleGan for Unpaired CT/MR Style Transfer

3dphoto

From lab of: https://coloradosph.cuanschutz.edu/resources/directory/directory-profile/Reyes-Porras-Antonio-UCD6003391275

3dstylegan

3D StyleGAN2 for Medical Images

ai4animation

Bringing Characters to Life with Computer Brains in Unity

ase

biogpt

Implementation of https://arxiv.org/pdf/2210.10341.pdf

bottlegan

Cited in Federated Stain Normalization for Computational Pathology

boxinstseg

A toolbox for box-supervised instance segmentation. https://arxiv.org/pdf/2212.01579.pdf

brainageing

This is the project about simulating the ageing brain. From: https://www.sciencedirect.com/science/article/abs/pii/S1361841521002152

braincharts

Code used in the lifespan brainchart project

cfctnns

Closed-form Continuous-time Neural Networks

cm3dldm

Implementation of MR to CT synthesis via 3D Latent Diffusion

cnseg

Cranial nerve segmentation networks and pre-trained models

cntseg

From https://www.sciencedirect.com/science/article/abs/pii/S1361841523000270

code_contests

cranialctprocessing

Automatic cranial base landmarking and bone labeling

cranialsuturegrowth

Implementation of https://www.nature.com/articles/s41598-023-47622-7

ctimage

From lab of: https://coloradosph.cuanschutz.edu/resources/directory/directory-profile/Reyes-Porras-Antonio-UCD6003391275

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deepmocap

DeepMoCap Github page:

deformable

Deformable shape module with focus on neonatal cortex reconstruction.

diffuseit

Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation". https://arxiv.org/pdf/2209.15264.pdf

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method. Paper: https://arxiv.org/pdf/2304.07193.pdf

dr.3d_gan

Official pytorch implementation of Dr.3D: Adapting 3D GANs to Artistic Drawings

drawem

Developing brain Region Annotation With Expectation-Maximization

dsal

[IEEE JBHI 2021] Official Implementation for "DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation" https://arxiv.org/abs/2101.09057

dscnet

Implementation of https://arxiv.org/pdf/2307.08388.pdf

edict

EDICT: Exact Diffusion Inversion via Coupled Transformations. https://arxiv.org/pdf/2211.12446.pdf

fast

A framework for GPU based high-performance medical image processing and visualization

fastgeodis

Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA). Used as https://spie.org/Publications/Proceedings/Paper/10.1117/12.2043527