80 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN11 papers
- Ritsumeikan UniversityJP3 papers
- Zhejiang University of Science and TechnologyCN3 papers
- Hangzhou Dianzi UniversityCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Zhejiang LabCN2 papers
- Army Medical UniversityCN1 paper
- Beijing Hua Xin HospitalCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese University of Hong KongHK1 paper
14 papers
Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis
Peixi Peng, Housheng Xie, Yanling Wei +5
Gastrointestinal diseases impose a growing global health burden, and endoscopy is a primary tool for early diagnosis. However, routine endoscopic image interpretation still suffers…
Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion Priors
Shoujin Huang, Guanxiong Luo, Yunlin Zhao +8
Simultaneous multislice (SMS) imaging is a powerful technique for accelerating magnetic resonance imaging (MRI) acquisitions. However, SMS reconstruction remains challenging due to…
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Yan Pei, Jiahui Xu, Qianhao Chen +4
Electroencephalography (EEG) signals are easily corrupted by various artifacts, making artifact removal crucial for improving signal quality in scenarios such as disease diagnosis…
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
Ke Zhang, Yan Yang, Jun Yu +4
In recent years, the growing demand for medical imaging diagnosis has placed a significant burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) met…
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
Yue Zhang, Chengtao Peng, Liying Peng +8
Multi-phase computed tomography (CT) images provide crucial complementary information for accurate liver tumor segmentation (LiTS). State-of-the-art multi-phase LiTS methods usuall…
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
Yingying Xu, Ming Cai, Lanfen Lin +10
In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is new…
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
Hanliang Jiang, Fuhao Shen, Fei Gao +1
Automatic pulmonary nodules classification is significant for early diagnosis of lung cancers. Recently, deep learning techniques have enabled remarkable progress in this field. Ho…
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Yesheng Xu, Ming Kong, Wenjia Xie +7
Infectious keratitis is the most common entities of corneal diseases, in which pathogen grows in the cornea leading to inflammation and destruction of the corneal tissues. Infectio…
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widel…
Image Domain Dual Material Decomposition for Dual-Energy CT using Butterfly Network
Wenkun Zhang, Hanming Zhang, Linyuan Wang +5
Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnif…
Image-domain multi-material decomposition for dual-energy CT based on correlation and sparsity of material images
Qiaoqiao Ding, Tianye Niu, Xiaoqun Zhang +1
Dual energy CT (DECT) enhances tissue characterization because it can produce images of basis materials such as soft-tissue and bone. DECT is of great interest in applications to m…
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
Zhe Wang, Yanxin Yin, Jianping Shi +3
We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions. Our contributions are two folds: 1)…
Using Edge-Preserving Algorithm with Non-local Mean for Significantly Improved Image-Domain Material Decomposition in Dual Energy CT
Wei Zhao, Tianye Niu, Lei Xing +6
Increased noise is a general concern for dual-energy material decomposition. Here, we develop an image-domain material decomposition algorithm for dual-energy CT (DECT) by incorpor…
Energy Spectrum Extraction and Optimal Imaging via Dual-Energy Material Decomposition
Wei Zhao, Lu Wan, Bo Zhang +2
Inferior soft-tissue contrast resolution is a major limitation of current CT scanners. The aim of the study is to improve the contrast resolution of CT scanners using dual-energy a…