AlphaFold 3 inference pipeline.

An Efficient Framework for Fast UAV Exploration

SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)

[nature biomedical engineering 2025] Official code for paper: A generalist foundation model and database for open-world medical image segmentation (MedSegX)

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

Segment Anything in Medical Images

Official implementation of HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration (SIGGRAPH 2025)

Awesome CT Reconstruction

Inference code for EDIPO group participating in CMRxRECON challenge by MICCAI

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

[AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan

Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

Official repository for CVPR24 Precognition Workshop Paper: VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.

Fourier Convolution Block with global receptive field for MRI reconstruction pytorch

Resources about xLSTM by Sepp Hochreiter

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

[CVPR 2024] Official implementation of the paper "Visual In-context Learning"

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

[MICCAI 2024] Official Code for "MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology"

(CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient

Repo for "Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction".