Federated Neural Architecture Framework for Accelerating MR Reconstruction

Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Official Repo for Paper ‘’HealthGPT : A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation‘’

Improved tumor synthesis leveraging radiology reports as prompts for diffusion models.

[TCSVT 2025] Core codes for "SSP-IR: Semantic and Structure Priors for Diffusion-based Realistic Image Restoration"

[AAAI2025] Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration

[ICLR 2025] Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration

[ECCV 2024] UniProcessor: A Text-induced Unified Low-level Image Processor

[AAAI 2025] Unsupervised Self-prior Embedding Implicit Neural Respresentation for Iterative Sparse-View CT Reconstruction

[ICLR 2025] - Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion

Offical implementation of Universal Image Restoration Pre-training via Degradation Classification (ICLR2025).

MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities

[arXiv 2024] PyTorch implementation of UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity

[CVPR 2025] Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution

[ICLR 2025 Spotlight] Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation

MiniGPT-Pancreas: Multimodal Large language Model for Pancreas Cancer Classification and Detection

The Local Attribution Map (LAM) is an interpretability tool for super-resolution reconstruction tasks. 局部归因图（Local Attribution Map，LAM）是一种用于超分辨率重建任务的诊断工具。

[ICLR 2025] An Intelligent Agentic System for Complex Image Restoration Problems

The Official Implementation for paper "Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers".

[arXiv 2024] LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration

CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~