chunmeifeng

T2Net. 【MICCAI 2021】Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

SPRC. 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval

MTrans. 【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

DiffTPT. 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation

MINet. 【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

FedPR. 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction

SANet. 【IEEE TNNLS 2023】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

FedMRI. 【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction

TextDiff. 【MICCAI 2024, Early Accept】Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models

Dual-OctConv. 【AAAI 2021】Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction

FedIns. 【ICCV 2023】Towards Instance-adaptive Inference for Federated Learning

MARIO. Python

DONet. 【TNNLS 2021】DONet: Dual-Octave Network for Fast MR Image Reconstruction

VQA4CIR. VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering

CPT.

Awesome-Federated-Machine-Learning. A curated list of awesome federated machine learning resources, including research papers, codes, tutorials, blogs and beyond