84 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN5 papers
- Shanghai Children's Medical CenterCN4 papers
- University of Shanghai for Science and TechnologyCN4 papers
- East China Normal UniversityCN3 papers
- China Earthquake AdministrationCN1 paper
- Chinese University of Hong KongHK1 paper
- Shandong Tumor HospitalCN1 paper
- Shandong UniversityCN1 paper
- Shanghai Municipal Center For Disease Control PreventionCN1 paper
- Shanghai Normal UniversityCN1 paper
- Shanghai UniversityCN1 paper
- State Key Laboratory of Oncology in South China1 paper
7 papers
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
Xiaoxiang Han, Xinyu Li, Jiang Shang +5
Segmenting anatomical structures and lesions from ultrasound images contributes to disease assessment. Weakly supervised learning (WSL) based on sparse annotation has achieved enco…
The Frobenious distances from projections to an idempotent matrix
Xiaoyi Tian, Qingxiang Xu, Chunhong Fu
For each pair of matrices and with the same order, let denote their Frobenius distance. This paper deals mainly with the Frobenius distances from projections to…
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion
Xiaoxiang Han, Yang Chen, Qiaohong Liu +4
Cardiac cine magnetic resonance imaging (MRI) is one of the important means to assess cardiac functions and vascular abnormalities. Mitigating artifacts arising during image recons…
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography
Yiman Liu, Xiaoxiang Han, Tongtong Liang +7
This paper introduces the Efficient Decoupled Masked Autoencoder (EDMAE), a novel self-supervised method for recognizing standard views in pediatric echocardiography. EDMAE introdu…
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images
Xiaoxiang Han, Yiman Liu, Gang Liu +2
Semantic segmentation for extracting buildings and roads from uncrewed aerial vehicle (UAV) remote sensing images by deep learning becomes a more efficient and convenient method th…
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
Huai Chen, Yuxiao Qi, Yong Yin +5
Segmentation of nasopharyngeal carcinoma (NPC) from Magnetic Resonance Images (MRI) is a crucial prerequisite for NPC radiotherapy. However, manually segmenting of NPC is time-cons…
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Yi-Jie Huang, Qi Dou, Zi-Xian Wang +6
Segmentation of colorectal cancerous regions from 3D Magnetic Resonance (MR) images is a crucial procedure for radiotherapy which conventionally requires accurate delineation of tu…