Xiaowei He
Orcid: 0000-0003-2126-178XAffiliations:
- Northwest University, Xi'an, China
According to our database1,
Xiaowei He
authored at least 69 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Medical Imaging, April, 2025
Iterative Up-and-Down Sampling Network Based on Pyramid Pooling and Attention Mechanism for 3-D System Matrix Recovery in MPI.
IEEE Trans. Instrum. Meas., 2025
IEEE Trans. Instrum. Meas., 2025
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.
IEEE Trans. Computational Imaging, 2025
CSA-FCN: Channel- and Spatial-Gated Attention Mechanism Based Fully Complex-Valued Neural Network for System Matrix Calibration in Magnetic Particle Imaging.
IEEE Trans. Computational Imaging, 2025
PSNAS-Net: Hybrid gradient-physical optimizationfor efficient neural architecture search in customized medical imaging analysis.
Expert Syst. Appl., 2025
Deep system prior based graph convolution network for NIR-II fluorescence molecular tomography.
Comput. Methods Programs Biomed., 2025
Robust reconstruction of fluorescence molecular tomography by minimizing the capped L2,p norm.
Biomed. Signal Process. Control., 2025
GeneMorphFormer: Transformer-Driven Cross-Scale Mapping from Gene Expression to Cortical Morphology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
T&F-DFC FusionNet: Time&Frequency-Dynamic Functional Connectivity Fusion Network for ADHD Diagnosis in Children Based on fNIRS.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Multivariate Analysis of Brain Function Consistency of Children with ADHD Across Tasks Based on FNIRS.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
CORONet: A Cross-Sequence Joint Representation and Hypergraph Convolutional Network for Classifying Molecular Subtypes of Breast Cancer Using Incomplete DCE-MRI.
IEEE J. Biomed. Health Informatics, April, 2024
Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor.
Comput. Methods Programs Biomed., 2024
Edge-Net: A Self-supervised Medical Image Segmentation Model Based on Edge Attention.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
Spatial Group and Cross-Channel Attention: Make Smaller Models More Effective, Focus on High-Level Semantic Features.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Dimension Reduction Based on Grouped Feature Selection Strategy for Fluorescence Molecular Tomography.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
The pseudo-siamese framework combines Transformer and CNN for medical image generation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
MLWF-Net: Multiple lung windows based fusion network for segmentation of small infected areas in COVID-19 CT slices.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Self-Supervised Triplet Contrastive Learning for Classifying Endometrial Histopathological Images.
IEEE J. Biomed. Health Informatics, December, 2023
Multi-target reconstruction based on subspace decision optimization for bioluminescence tomography.
Comput. Methods Programs Biomed., October, 2023
Comput. Methods Programs Biomed., June, 2023
Comput. Methods Programs Biomed., March, 2023
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?
Comput. Medical Imaging Graph., 2023
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Multi-source bioluminescene tomography reconstruction approach base on subspace decision.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Variable Step-Size Fast Iterative Shrinkage Thresholding Algorithm for Fluorescence Molecular Tomography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
MGP-Net: Margin-Global Information Optimization-Prototype Network for Few-Shot Ancient Inscriptions Classification.
Proceedings of the Image and Graphics - 12th International Conference, 2023
Proceedings of the Image and Graphics - 12th International Conference, 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.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Consistent Learning-Based Breast Tumor Segmentation and Its Application in Sentinel Lymph Node Metastasis Prediction.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
One-dimensional convolutional neural network for Jacobian in Diffuse Optical Tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Regularization parameter based on incomplete variables for X-ray luminescence computed tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Adaptive Sparsity Orthogonal Least Square with Neighbor Strategy for Fluorescence Molecular Tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Structure-fused deep 3D hierarchical network: A bioluminescence tomography scheme for different imaging objects.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
WheelNet: Weakly-Supervised Multi-Contrastive Learning for Predicting Vulnerable Coronary Atherosclerosis Plaques from Coronary Computed Tomography Angiography.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Novel Ensemble Learning Model Combined XGBoost With Deep Neural Network for Credit Scoring.
J. Inf. Technol. Res., 2022
Diagnosis of endometrium hyperplasia and screening of endometrial intraepithelial neoplasia in histopathological images using a global-to-local multi-scale convolutional neural network.
Comput. Methods Programs Biomed., 2022
2021
CoRR, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2019
IEEE Trans. Biomed. Eng., 2019
Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian method.
Multim. Syst., 2019
An automatic multi-class coronary atherosclerosis plaque detection and classification framework.
Medical Biol. Eng. Comput., 2019
Accurate Segmentation of Heart Volume in CTA With Landmark-Based Registration and Fully Convolutional Network.
IEEE Access, 2019
Adaptively Hybrid 3<sup>rd</sup> Simplified Spherical Harmonics With Diffusion Equation-Based Multispectral Cerenkov Luminescence Tomography.
IEEE Access, 2019
A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence Tomography.
IEEE Access, 2019
2018
Medical Biol. Eng. Comput., 2018
Filtered maximum likelihood expectation maximization based global reconstruction for bioluminescence tomography.
Medical Biol. Eng. Comput., 2018
Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests.
IEEE Access, 2018
Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network.
IEEE Access, 2018
2017
Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography.
IEEE Trans. Medical Imaging, 2017
2015
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015
2014
L1/2 regularization method for multiple-target reconstruction in fluorescent molecular tomography.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Hybrid Multilevel Sparse Reconstruction for a Whole Domain Bioluminescence Tomography Using Adaptive Finite Element.
Comput. Math. Methods Medicine, 2013
A two-stage reconstruction of fluorescence molecular tomography based on sparse regularization.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Mil-Cand: An Improved Framework for Computer Aided Nodule Detection Based on Multiple Instance Learning.
Proceedings of the Pattern Recognition - Chinese Conference, 2012
Quantitative bioluminescence tomography from single view measurement with decay correction strategy.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
Automated abnormality detection of craniomaxillofacial based on Statistical Deformable Models.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography.
Int. J. Biomed. Imaging, 2011
Sparse Regularization-Based Reconstruction for Bioluminescence Tomography Using a Multilevel Adaptive Finite Element Method.
Int. J. Biomed. Imaging, 2011
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011
2010
Fast Source Reconstruction for Bioluminescence Tomography Based on Sparse Regularization.
IEEE Trans. Biomed. Eng., 2010
A multi-phase level set framework for source reconstruction in bioluminescence tomography.
J. Comput. Phys., 2010
Truncated Total Least Squares Method with a Practical Truncation Parameter Choice Scheme for Bioluminescence Tomography Inverse Problem.
Int. J. Biomed. Imaging, 2010