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08/20/2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Federated Learning (FL) enables multiple clients to collaboratively lear...
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08/20/2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
While multi-modal learning has been widely used for MRI reconstruction, ...
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08/11/2023
Towards Instance-adaptive Inference for Federated Learning
Federated learning (FL) is a distributed learning paradigm that enables ...
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08/11/2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Benefiting from prompt tuning, recent years have witnessed the promising...
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03/28/2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...
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01/30/2023
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature
Federated learning (FL), as an effective decentralized distributed learn...
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12/01/2022
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
Focusing on the complicated pathological features, such as blurred bound...
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09/28/2022
Prompt-driven efficient Open-set Semi-supervised Learning
Open-set semi-supervised learning (OSSL) has attracted growing interest,...
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12/09/2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Federated learning (FL) can be used to improve data privacy and efficien...
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10/15/2021
Multi-modal Aggregation Network for Fast MR Imaging
Magnetic resonance (MR) imaging is a commonly used scanning technique fo...
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09/03/2021
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution
Super-resolving the Magnetic Resonance (MR) image of a target contrast u...
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06/27/2021
Accelerated Multi-Modal MR Imaging with Transformers
Accelerating multi-modal magnetic resonance (MR) imaging is a new and ef...
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06/12/2021
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
The core problem of Magnetic Resonance Imaging (MRI) is the trade off be...
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05/19/2021
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Super-resolution (SR) plays a crucial role in improving the image qualit...
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05/12/2021
DONet: Dual-Octave Network for Fast MR Image Reconstruction
Magnetic resonance (MR) image acquisition is an inherently prolonged pro...
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04/12/2021
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
Magnetic resonance (MR) image acquisition is an inherently prolonged pro...
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07/12/2019
Coupled-Projection Residual Network for MRI Super-Resolution
Magnetic Resonance Imaging(MRI) has been widely used in clinical applica...
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05/28/2019
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
Principal Component Analysis (PCA) has been used to study the pathogenes...
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01/21/2019
