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A collection of papers on Diffusion for Image-to-Image Translation and Style Transfer
A curated list of papers on the applications of RWKV in computer vision. Please raise an issue if you suggest new qualified project.
Interactive Pytorch forward pass visualization in notebooks
PathBench-MIL: A comprehensive, flexible Benchmarking / AutoML framework for multiple instance learning in Histopathology
[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
[WACV 2025] CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
"Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Doing non-Cartesian MR Imaging has never been so easy.
A framework for blind denoising with self-supervision.
A set of exercises to accompany the DeepMind x UCL RL course by David Silver
Step by step instructions for body/thorax registration
Whole Brain Segmentation and Parecllation Using OpenMAP-T1 Method for 3D T1 Brain MRI
This is a deep learning-based method to segment deep brain structures and a brain mask from T1 weighted MRI.
AI Agent Assistant that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Virtual Imaging Clinical Trial for Regulatory Evaluation
3D ResNets for Action Recognition (CVPR 2018)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
highest ranked algorithm of Learn2Reg requires little to no training and runs within seconds