Truncated Total Least Squares Method with a Practical Truncation Parameter Choice Scheme for Bioluminescence Tomography Inverse Problem. - Xiaowei He 001; Jimin Liang; Xiaochao Qu; Heyu Huang; Yanbin Hou; Jie Tian 001 (Int. J. Biomed. Imaging, 2010)

A multi-phase level set framework for source reconstruction in bioluminescence tomography. - Heyu Huang; Xiaochao Qu; Jimin Liang; Xiaowei He 001; Xueli Chen; Da'an Yang; Jie Tian 001 (J. Comput. Phys., 2010)

Fast Source Reconstruction for Bioluminescence Tomography Based on Sparse Regularization. - Jingjing Yu 001; Fang Liu 001; Jiao Wu; Licheng Jiao; Xiaowei He 001 (IEEE Trans. Biomed. Eng., 2010)

Bioluminescence tomography with structural and sparse a priori information. - Xiaowei He 001; Jingjing Yu 001; Guohua Geng; Zhiyong Zhang; Junxin Wu (BMEI, 2011)

Sparse Regularization-Based Reconstruction for Bioluminescence Tomography Using a Multilevel Adaptive Finite Element Method. - Xiaowei He 001; Yanbin Hou; Duofang Chen; Yuchuan Jiang; Man Shen; Junting Liu; Qitan Zhang; Jie Tian 001 (Int. J. Biomed. Imaging, 2011)

A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography. - Jingjing Yu 001; Fang Liu 001; Licheng Jiao; Shuyuan Yang 001; Xiaowei He 001 (Int. J. Biomed. Imaging, 2011)

Automated abnormality detection of craniomaxillofacial based on Statistical Deformable Models. - Shaoyin Wang; Jun Feng 003; Xinlong Tong; Hui Liu; Xiaowei He 001 (BHI, 2012)

Quantitative bioluminescence tomography from single view measurement with decay correction strategy. - Xiaowei He 001; Guohua Geng; Jingjing Yu 001 (BMEI, 2012)

Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning. - Su-Yang An; Jun Feng 003; Zhan Li; Yan-Yan Han; Qiu-Ping Wang; Xiaowei He 001 (CCPR, 2012)

A two-stage reconstruction of fluorescence molecular tomography based on sparse regularization. - Jingxing Cheng; Yuqing Hou; Jingjing Yu 001; Xiaowei He 001 (EMBC, 2013)

Hybrid Multilevel Sparse Reconstruction for a Whole Domain Bioluminescence Tomography Using Adaptive Finite Element. - Jingjing Yu 001; Xiaowei He 001; Guohua Geng; Fang Liu 001; Licheng Jiao (Comput. Math. Methods Medicine, 2013)

L1/2 regularization method for multiple-target reconstruction in fluorescent molecular tomography. - Xiaowei He 001; Hongbo Guo; Yuqing Hou; Jingjing Yu 001; Hejuan Liu; Hai Zhang (ISBI, 2014)

Age Estimation Based on Canonical Correlation Analysis and Extreme Learning Machine. - Jie Si; Jun Feng 003; Qirong Bu; Xiaohu Sun; Xiaowei He 001; Shi Qiu (CCBR, 2015)

Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography. - Hongbo Guo; Xiaowei He 001; Muhan Liu; Zeyu Zhang; Zhenhua Hu; Jie Tian 001 (IEEE Trans. Medical Imaging, 2017)

Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network. - Fengjun Zhao; Yibing Chen; Fei Chen; Xuelei He; Xin Cao 004; Yuqing Hou; Huangjian Yi; Xiaowei He 001; Jimin Liang (IEEE Access, 2018)

Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests. - Fengjun Zhao; Pei Gao; Haowen Hu; Xuelei He; Yuqing Hou; Xiaowei He 001 (IEEE Access, 2018)

Filtered maximum likelihood expectation maximization based global reconstruction for bioluminescence tomography. - Defu Yang; Lin Wang; Dongmei Chen; Chenggang Yan 001; Xiaowei He 001; Jimin Liang; Xueli Chen (Medical Biol. Eng. Comput., 2018)

A monocentric centerline extraction method for ring-like blood vessels. - Fengjun Zhao; Feifei Sun; Yuqing Hou; Yanrong Chen; Dongmei Chen; Xin Cao 004; Huangjian Yi; Bin Wang 084; Xiaowei He 001; Jimin Liang (Medical Biol. Eng. Comput., 2018)

A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence Tomography. - Xin Cao 004; Xiao Wei; Feng Yan; Lin Wang; Linzhi Su; Yuqing Hou; Guohua Geng; Xiaowei He 001 (IEEE Access, 2019)

Adaptively Hybrid 3rd Simplified Spherical Harmonics With Diffusion Equation-Based Multispectral Cerenkov Luminescence Tomography. - Lin Wang; Honghao Cao; Xin Cao 004; Shenghan Ren; Ke Li; Yonghua Zhan; Xueli Chen; Xiaowei He 001 (IEEE Access, 2019)

Accurate Segmentation of Heart Volume in CTA With Landmark-Based Registration and Fully Convolutional Network. - Fengjun Zhao; Haowen Hu; Yibing Chen; Jimin Liang; Xiaowei He 001; Yuqing Hou (IEEE Access, 2019)

An automatic multi-class coronary atherosclerosis plaque detection and classification framework. - Fengjun Zhao; Bin Wu; Fei Chen; Xin Cao 004; Huangjian Yi; Yuqing Hou; Xiaowei He 001; Jimin Liang (Medical Biol. Eng. Comput., 2019)

Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian method. - Bin Wang 084; Xu Zhang; Yuqing Hou; Xuelei He; Huangjian Yi; Xiaowei He 001 (Multim. Syst., 2019)

Half Thresholding Pursuit Algorithm for Fluorescence Molecular Tomography. - Xuelei He; Jingjing Yu 001; Xiaodong Wang; Huangjian Yi; Yanrong Chen; Xiaolei Song; Xiaowei He 001 (IEEE Trans. Biomed. Eng., 2019)

End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme. - Shuangchen Li; Xuelei He; Heng Zhang; Hongbo Guo; Xiaowei He 001 (EMBC, 2021)

L1-L2 Minimization Via A Proximal Operator For Fluorescence Molecular Tomography. - Heng Zhang; Hongbo Guo; Shuangchen Li; Yanqiu Liu; Xuelei He; Xiaowei He 001; Yuqing Hou (EMBC, 2021)

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? - Feihong Liu; Junwei Yang; Xiaowei He 001; Luping Zhou; Jun Feng 003; Dinggang Shen (CoRR, 2021)

Diagnosis of endometrium hyperplasia and screening of endometrial intraepithelial neoplasia in histopathological images using a global-to-local multi-scale convolutional neural network. - Fengjun Zhao; Didi Dong; Hongyan Du; Yinan Guo; Xue Su; Zhiwei Wang; Xiaoyang Xie; Mingjuan Wang; Haiyan Zhang; Xin Cao 004; Xiaowei He 001 (Comput. Methods Programs Biomed., 2022)

A Novel Ensemble Learning Model Combined XGBoost With Deep Neural Network for Credit Scoring. - Xiaowei He 001; Siqi Li; Xin Tian He; Wenqiang Wang; Xiang Zhang; Bin Wang 084 (J. Inf. Technol. Res., 2022)

WheelNet: Weakly-Supervised Multi-Contrastive Learning for Predicting Vulnerable Coronary Atherosclerosis Plaques from Coronary Computed Tomography Angiography. - Lingwen Hou; Yabin Wang; Site Ma; Xiaoyang Xie; Xin Cao 004; Xiaowei He 001; Jimin Liang; Feng Cao; Fengjun Zhao (BIBM, 2023)

Structure-fused deep 3D hierarchical network: A bioluminescence tomography scheme for different imaging objects. - Beilei Wang; Shuangchen Li; Xuelei He; Yizhe Zhao; Heng Zhang; Xiaowei He 001; Jingjing Yu 001; Hongbo Guo (EMBC, 2023)

Adaptive Sparsity Orthogonal Least Square with Neighbor Strategy for Fluorescence Molecular Tomography. - Huangjian Yi; Sihao Ma; Ruigang Yang; Lizhi Zhang; Hongbo Guo; Xiaowei He 001; Yuqing Hou (EMBC, 2023)

Regularization parameter based on incomplete variables for X-ray luminescence computed tomography. - Huangjian Yi; Zijian Tang; Ruigang Yang; Fengjun Zhao; Xin Cao 004; Lizhi Zhang; Xiaowei He 001; Yuqing Hou (EMBC, 2023)

One-dimensional convolutional neural network for Jacobian in Diffuse Optical Tomography. - Huangjian Yi; Ruigang Yang; Xuelei He; Hongbo Guo; Beilei Wang; Yuqing Hou; Xiaowei He 001 (EMBC, 2023)

Consistent Learning-Based Breast Tumor Segmentation and Its Application in Sentinel Lymph Node Metastasis Prediction. - Fengjun Zhao; Kaiming Huang; Zhipeng Sun; Xin Chen; Xiaowei He 001; Bin Wang 084; Xin Cao 004 (EMBC, 2023)

Assessing the Role of Different Heterogeneous Regions in DCE-MRI for Predicting Molecular Subtypes of Breast Cancer based on Network Architecture Search and Vision Transformer. - Fengjun Zhao; Ji Nie; Mingze Ma; Xin Chen; Xiaowei He 001; Bin Wang 084; Yuqing Hou (EMBC, 2023)

Inscription-Image Inpainting with Edge Structure Reconstruction. - Haonan Liu; Xuelei He; Jiaxin Zhu; Xiaowei He 001 (ICIG (3), 2023)

MGP-Net: Margin-Global Information Optimization-Prototype Network for Few-Shot Ancient Inscriptions Classification. - Jiaxin Zhu; Xuelei He; Haonan Liu; Xiaowei He 001 (ICIG (3), 2023)

Variable Step-Size Fast Iterative Shrinkage Thresholding Algorithm for Fluorescence Molecular Tomography. - Huangjian Yi; Sheng Zhong; Dizhen Kang; Hongbo Guo; Yuqing Hou; Jingjing Yu 001; Xiaowei He 001 (ISBI, 2023)

Multi-source bioluminescene tomography reconstruction approach base on subspace decision. - Xiao Wei; Hongbo Guo; Xuelei He; Jingjing Yu 001; Xiaowei He 001 (Image Processing, 2023)

Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction. - Heng Zhang; Xiaowei He 001; Hongbo Guo; Yanqiu Liu; Shuangchen Li; Yizhe Zhao; Xuelei He; Jingjing Yu 001; Yuqing Hou (Image Processing, 2023)

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. - Feihong Liu; Yongsheng Pan; Junwei Yang; Fang Xie; Xiaowei He 001; Han Zhang 002; Feng Shi 001; Jun Feng 003; Qihao Guo; Dinggang Shen (MLMI@MICCAI (2), 2023)

Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? - Feihong Liu; Junwei Yang; Mingyue Feng; Zhiming Cui; Xiaowei He 001; Luping Zhou; Jun Feng 003; Dinggang Shen (Comput. Medical Imaging Graph., 2023)

A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography. - Mengxiang Chu; Hongbo Guo; Xuelei He; Beilei Wang; Yanqiu Liu; Xiangong Hu; Jingjing Yu 001; Xiaowei He 001 (Comput. Methods Programs Biomed., 2023)

Robust transformed l1 metric for fluorescence molecular tomography. - Yating Yuan; Huangjian Yi; Dizhen Kang; Jingjing Yu 001; Hongbo Guo; Xuelei He; Xiaowei He 001 (Comput. Methods Programs Biomed., 2023)

Multi-target reconstruction based on subspace decision optimization for bioluminescence tomography. - Xiao Wei; Hongbo Guo; Jingjing Yu 001; Yanqiu Liu; Yingcheng Zhao; Xiaowei He 001 (Comput. Methods Programs Biomed., 2023)

Self-Supervised Triplet Contrastive Learning for Classifying Endometrial Histopathological Images. - Fengjun Zhao; Zhiwei Wang; Hongyan Du; Xiaowei He 001; Xin Cao 004 (IEEE J. Biomed. Health Informatics, 2023)

MLWF-Net: Multiple lung windows based fusion network for segmentation of small infected areas in COVID-19 CT slices. - Chenxu Han; Xuelei He; Xiaowei He 001; Zhixin Huang; Chuang Zhang; Yong Huang (CSCWD, 2024)

The pseudo-siamese framework combines Transformer and CNN for medical image generation. - Chao Fan; Zechen Zheng; Miao Wang; Congqian Wang; Chao An; Yanwei Chen; Xiaowei He 001; Xuelei He (EMBC, 2024)

Dimension Reduction Based on Grouped Feature Selection Strategy for Fluorescence Molecular Tomography. - Linxin Li; Lizhi Zhang; Yizhe Zhao; Qiong Xie; Xiaowei He 001; Xuelei He; Huangjian Yi (EMBC, 2024)

The Combine of GLCM and Group, Focuses on the Grayscale of Medical Images. - Zechen Zheng; Chao Fan; Congqian Wang; Miao Wang; Lizhi Zhang; Xiaowei He 001; Xuelei He (EMBC, 2024)

Spatial Group and Cross-Channel Attention: Make Smaller Models More Effective, Focus on High-Level Semantic Features. - Zechen Zheng; Chao Fan; Miao Wang; Congqian Wang; Xuelei He; Xiaowei He 001 (ICIC (12), 2024)

Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM. - Han Zhang 002; Xiao Li; Yaonai Wei; Chenjie Jia; Qitai Sun; Xiaowei He 001; Yudan Ren; Tuo Zhang (ICONIP (4), 2024)

3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration. - Qitai Sun; Xiao Li; Han Zhang 002; Chenjie Jia; Xiaowei He 001; Tuo Zhang; Yudan Ren (ISBI, 2024)

Edge-Net: A Self-supervised Medical Image Segmentation Model Based on Edge Attention. - Miao Wang; Zechen Zheng; Chao Fan; Congqian Wang; Xuelei He; Xiaowei He 001 (PRCV (15), 2024)

Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor. - Zechen Zheng; Miao Wang; Chao Fan; Congqian Wang; Xuelei He; Xiaowei He 001 (Comput. Methods Programs Biomed., 2024)

CORONet: A Cross-Sequence Joint Representation and Hypergraph Convolutional Network for Classifying Molecular Subtypes of Breast Cancer Using Incomplete DCE-MRI. - Xiaoyang Xie; Lin Wu; Zhiming Su; Zhipeng Sun; Xin Cao 004; Yuqing Hou; Xiaowei He 001; Fengjun Zhao (IEEE J. Biomed. Health Informatics, 2024)

Multivariate Analysis of Brain Function Consistency of Children with ADHD Across Tasks Based on FNIRS. - Mengxiang Chu; Yunxiang Ma; Zhengyu Zhong; Jingjing Yu 001; Xiaowei He 001; Jiaojiao Ren; Hongbo Guo (ISBI, 2025)

T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children Based on fNIRS. - Mengxiang Chu; Yunxiang Ma; Xiaowei He 001; Xiao Li; Jiaojiao Ren; Zhengyu Zhong; Jingjing Yu 001; Hongbo Guo (MICCAI (12), 2025)

GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology. - Xiao Li; Han Zhang 002; Qitai Sun; Chenjie Jia; Xiaowei He 001; Yudan Ren (MICCAI (14), 2025)

Robust reconstruction of fluorescence molecular tomography by minimizing the capped L2,p norm. - Yating Yuan; Hongbo Guo; Jingjing Yu 001; Huangjian Yi; Xuelei He; Xiaowei He 001 (Biomed. Signal Process. Control., 2025)

Deep system prior based graph convolution network for NIR-II fluorescence molecular tomography. - Beilei Wang; Shuangchen Li; Heng Zhang; Jia Li; Lizhi Zhang; Jingjing Yu 001; Xiaowei He 001; Hongbo Guo (Comput. Methods Programs Biomed., 2025)

PSNAS-Net: Hybrid gradient-physical optimizationfor efficient neural architecture search in customized medical imaging analysis. - Zechen Zheng; Xuelei He; Fengjun Zhao; Xiaowei He 001 (Expert Syst. Appl., 2025)

CSA-FCN: Channel- and Spatial-Gated Attention Mechanism Based Fully Complex-Valued Neural Network for System Matrix Calibration in Magnetic Particle Imaging. - Shuangchen Li; Lizhi Zhang; Hongbo Guo; Jintao Li; Jingjing Yu 001; Xuelei He; Yizhe Zhao; Xiaowei He 001 (IEEE Trans. Computational Imaging, 2025)

Double-Branched and Multi-Magnetic Directions Feature Fusion Network (DB&MDF2-Net) for the Accurate Reconstruction of Magnetic Particle Imaging. - Jintao Li; Lizhi Zhang; Shuangchen Li; Huanlong Gao; Shuaishuai He; Yizhe Zhao; Xiaowei He 001; Yuqing Hou; Hongbo Guo (IEEE Trans. Computational Imaging, 2025)

RGMLN:Residual Graph Model Learning Network for Bioluminescence Tomography. - De Wei; Yizhe Zhao; Shuangchen Li; Heng Zhang; Beilei Wang; Xiaowei He 001; Jingjing Yu 001; Huangjian Yi; Xuelei He; Hongbo Guo (IEEE Trans. Computational Imaging, 2025)

A Noncontact Sleep Monitoring Method Based on Millimeter-Wave Radar. - Xiang Duan; Kunpeng Li; Xuan Liu; Yang Li; Yuqing Hou; Xiaowei He 001; Sheng Tang (IEEE Trans. Instrum. Meas., 2025)

Iterative Up-and-Down Sampling Network Based on Pyramid Pooling and Attention Mechanism for 3-D System Matrix Recovery in MPI. - Lizhi Zhang; Jintao Li; Xiaowei He 001; Zijian Tang; Shuangchen Li; Yizhe Zhao; Hongbo Guo (IEEE Trans. Instrum. Meas., 2025)

GAICN: Graph Attention Iterative Contraction Network for Bioluminescence Tomography. - Heng Zhang; Hongbo Guo; Yuqing Hou; Xiaowei He 001; Shuangchen Li; Beilei Wang; Jingjing Yu 001; Yanqiu Liu; Mengxiang Chu; Xuelei He; Huangjian Yi (IEEE Trans. Medical Imaging, 2025)