activity
20222024
most citedA Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

19 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer

Geng Chen, Junqing Yang, Xiaozhou Pu +5

Accurate segmentation of polyps from colonoscopy videos is of great significance to polyp treatment and early prevention of colorectal cancer. However, it is challenging due to the…

cs.CV20233 cited

Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation

Ziyang Chen, Yongsheng Pan, Yiwen Ye +2

Although recent years have witnessed the great success of convolutional neural networks (CNNs) in medical image segmentation, the domain shift issue caused by the highly variable i…

eess.IV20231 cited

Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation

Ziyang Chen, Yongsheng Pan, Yong Xia

Glaucoma is one of the leading causes of irreversible blindness. Segmentation of optic disc (OD) and optic cup (OC) on fundus images is a crucial step in glaucoma screening. Althou…

eess.IV2023

Structure-aware registration network for liver DCE-CT images

Peng Xue, Jingyang Zhang, Lei Ma +7

Image registration of liver dynamic contrast-enhanced computed tomography (DCE-CT) is crucial for diagnosis and image-guided surgical planning of liver cancer. However, intensity v…

eess.IV202219 cited

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Xiangxi Meng, Yuning Gu, Yongsheng Pan +6

Multi-modal medical image completion has been extensively applied to alleviate the missing modality issue in a wealth of multi-modal diagnostic tasks. However, for most existing sy…

eess.IV2022

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

Jingyang Zhang, Peng Xue, Ran Gu +7

In clinical practice, a segmentation network is often required to continually learn on a sequential data stream from multiple sites rather than a consolidated set, due to the stora…