activity
20222024
most citedPrototype Knowledge Distillation for Medical Segmentation with Missing Modality

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction

Zhongsen Li, Wenxuan Chen, Shuai Wang +3

The inductive bias of the convolutional neural network (CNN) can be a strong prior for image restoration, which is known as the Deep Image Prior (DIP). Recently, DIP is utilized in…

eess.IV2023★ 1 cited

Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution

Wenxuan Chen, Sirui Wu, Shuai Wang +4

Multi-contrast magnetic resonance imaging (MRI) reflects information about human tissue from different perspectives and has many clinical applications. By utilizing the complementa…

eess.IV2023★ 1 cited

Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation

Shuai Wang, Zipei Yan, Daoan Zhang +4

Deep neural networks (DNNs) achieve promising performance in visual recognition under the independent and identically distributed (IID) hypothesis. In contrast, the IID hypothesis…

cs.CV2023★ 2 cited

Prototype Knowledge Distillation for Medical Segmentation with Missing Modality

Shuai Wang, Zipei Yan, Daoan Zhang +3

Multi-modality medical imaging is crucial in clinical treatment as it can provide complementary information for medical image segmentation. However, collecting multi-modal data in…

eess.IV2022

Accelerated partial separable model using dimension-reduced optimization technique for ultra-fast cardiac MRI

Zhongsen Li, Aiqi Sun, Chuyu Liu +4

Objective. Imaging dynamic object with high temporal resolution is challenging in magnetic resonance imaging (MRI). Partial separable (PS) model was proposed to improve the imaging…