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M2CA-Net : Multi-scale and multi-frequency channel attentional neural network for invasive coronary angiography segmentation 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2025, 页码: 18
作者:  Dai, Longhui;  Cao, Tongtong;  Zhang, Lei;  Wang, Yuanquan;  Gan, Feng;  Zhao, Di
收藏  |  浏览/下载：48/0  |  提交时间：2025/12/03
Multi-scale  Multi-frequency  Segmentation  Invasive coronary angiography  
ConUDiff: diffusion model with contrastive pretraining and uncertain region optimization for segmentation of left ventricle from echocardiography 期刊论文
PATTERN ANALYSIS AND APPLICATIONS, 2025, 卷号: 28, 期号: 3, 页码: 11
作者:  Zhang, Guohuan;  Zhang, Lei;  Fu, Xuetong;  Wang, Yuanquan;  Zhou, Shoujun;  Wei, Jin;  Zhao, Di
收藏  |  浏览/下载：41/0  |  提交时间：2025/12/03
Diffusion models  Echocardiography  Left ventricle  Segmentation  Contrastive learning  Uncertain region optimization  
DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2024, 卷号: 18, 期号: 10, 页码: 7487-7498
作者:  Li, Jiajia;  Wu, Qing;  Wang, Yuanquan;  Zhou, Shoujun;  Zhang, Lei;  Wei, Jin;  Zhao, Di
收藏  |  浏览/下载：95/0  |  提交时间：2024/12/06
Coronary artery segmentation  Diffusion model  Transformer  Attention  
MFDiff: multiscale feature diffusion model for segmentation of 3D intracranial aneurysm from CT images 期刊论文
PATTERN ANALYSIS AND APPLICATIONS, 2024, 卷号: 27, 期号: 2, 页码: 13
作者:  Pei, Xinyu;  Ren, Yande;  Tang, Yueshan;  Wang, Yuanquan;  Zhang, Lei;  Wei, Jin;  Zhao, Di
收藏  |  浏览/下载：146/0  |  提交时间：2024/12/06
Diffusion model  Swin transformer  CT  Intracranial aneurysm  Image segmentation  
DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism 期刊论文
BMC MEDICAL IMAGING, 2023, 卷号: 23, 期号: 1, 页码: 15
作者:  Wang, Han;  Lei, Cai;  Zhao, Di;  Gao, Liwei;  Gao, Jingyang
收藏  |  浏览/下载：79/0  |  提交时间：2023/12/04
Segmentation of hippocampus  Deep learning  Dense block, Attention, Data augmentation  
Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 214, 页码: 9
作者:  Zhao, Chenji;  Xiang, Shun;  Wang, Yuanquan;  Cai, Zhaoxi;  Shen, Jun;  Zhou, Shoujun;  Zhao, Di;  Su, Weihua;  Guo, Shijie;  Li, Shuo
收藏  |  浏览/下载：118/0  |  提交时间：2023/07/12
3D MRI  Contextual information  Image segmentation  Semi -supervised learning  Transformers  
EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 151, 页码: 8
作者:  Pu, Xiaorong;  Yi, Peng;  Chen, Kecheng;  Ma, Zhaoqi;  Zhao, Di;  Ren, Yazhou
收藏  |  浏览/下载：80/0  |  提交时间：2023/07/12
Electroencephalography  Artifact removal  Transformer  
A Clinical-Radiomic Model for Predicting Indocyanine Green Retention Rate at 15 Min in Patients With Hepatocellular Carcinoma 期刊论文
FRONTIERS IN SURGERY, 2022, 卷号: 9, 页码: 9
作者:  Wu, Ji;  Xie, Feng;  Ji, Hao;  Zhang, Yiyang;  Luo, Yi;  Xia, Lei;  Lu, Tianfei;  He, Kang;  Sha, Meng;  Zheng, Zhigang;  Yong, Junekong;  Li, Xinming;  Zhao, Di;  Yang, Yuting;  Xia, Qiang;  Xue, Feng
收藏  |  浏览/下载：120/0  |  提交时间：2022/12/07
indocyanine green retention rate at 15 min  radiomics  machine learning  post hepatectomy liver failure  hepatocellular carcinoma  
A deep-learning-based framework for severity assessment of COVID-19 with CT images 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 185, 页码: 11
作者:  Li, Zhidan;  Zhao, Shixuan;  Chen, Yang;  Luo, Fuya;  Kang, Zhiqing;  Cai, Shengping;  Zhao, Wei;  Liu, Jun;  Zhao, Di;  Li, Yongjie
收藏  |  浏览/下载：152/0  |  提交时间：2021/12/01
COVID-19  Deep learning  Severity assessment  Multi-view lesion  Dual-Siamese channels  Clinical metadata  
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 119, 页码: 12
作者:  Zhao, Shixuan;  Li, Zhidan;  Chen, Yang;  Zhao, Wei;  Xie, Xingzhi;  Liu, Jun;  Zhao, Di;  Li, Yongjie
收藏  |  浏览/下载：169/0  |  提交时间：2021/12/01
COVID-19  Convolutional neural network  Segmentation  Lung opacification  Attention mechanism