2026 (5)
GS-CL: Generative Spectral-Contrastive Learning for Robust 3D point cloud representation
Yinan Wang, Hao Zhang, Jiaxu Shi, Yangyang Liu, Fengjun Zhao, Xin Cao※
Pattern Recognition
An automatic three-way clustering method based on shadowed sets and its application to FMT
Yanqiu Liu, Qinran Zhang, Sihao Ma, Qiong Xie※, Xin Cao and Huangjian Yi※
Journal of Applied Physics
Point-DPA: Unifying contrastive and generative learning for 3D point cloud understanding via dynamic prototypes
Xin Cao※, Xinmeng Hu, Yinan Wang, Kang Li, Linzhi Su※, Yangyang Liu, Fengjun Zhao※
Information Sciences
Enhancing runoff simulation in data-scarce mountainous regions: a coupled SWAT and transferable transformer approach
Yi He+※, Rui Yan+, Yanhong Tang, Jinyu Zhang, Hui Qian, Dejing Chen, Lei Zhu and Xin Cao※
Journal of Hydrology
Adaptive orthogonal matching pursuit and group K-SVD dictionary learning framework for bioluminescence tomography
Bianbian Yang, Xin Zhou, Jiaxin Du, Yi Chen※, Huangjian Yi, Linzhi Su※, Chengyi Gao and Xin Cao※
Optics Express
2025 (9)
Adaptive Bayesian augmented Lagrangian algorithm for Fluorescence Molecular Tomography
Bianbian Yang, Yiting He, Nanan Cai, Jun Zhang, Yi Chen※, Yangyang Liu※, Chengyi Gao, Huangjian Yi and Xin Cao※
Journal of the Optical Society of America A
Adagrad-optimized variational Bayesian reconstruction with sparsity-adaptive normal-generalized inverse Gaussian prior for fluorescence molecular tomography
Xin Cao, Yiting He, Xin Zhou, Jiaxin Du, Yi Chen※, Yangyang Liu※, Chengyi Gao, Huangjian Yi
Journal of Applied Physics
PointMoment: A Mixed-Moment Self-Supervised Learning Approach for 3D Terracotta Warriors
Xin Cao, Xinxin Han, Wenlong Tang, Yong Ren, Kang Li※, Ping Zhou and Linzhi Su※
npj Heritage Science
Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning
Xin Cao, Haoyu Wang, Jiaxu Shi, Linzhi Su※, Xinda Liu, Kang Li※
Multimedia Systems
Self-supervised learning via disentangled representation and self-distillation for 3D terracotta warriors
Xin Cao, Linrong Ye, Xinxin Han, Jia Zhang, Xingxing Hao, Linzhi Su and Kang Li※
npj Heritage Science
Cone-beam X-ray luminescence computed tomography via Laplacian scale mixture prior-driven variational Bayesian method
Yiting He, Bianbian Yang, Nannan Cai, Yi Chen, Yifan Wang, Huangjian Yi, Xingxing Hao, Chengyi Gao and Xin Cao※
Optics Express
Adaptive k-sparse constrained dictionary learning strategy for bioluminescence tomography reconstruction
Bianbian Yang, Yiting He, Nannan Cai, Yi Chen※, Huangjian Yi, Xingxing Hao, Chengyi Gao and Xin Cao※
Physics in Medicine & Biology
TRRS-DM: Two-stage Resampling and Residual Shifting for high-fidelity texture inpainting of Terracotta Warriors utilizing Diffusion Models
Xin Cao, Peiyuan Quan, Yuzhu Mao, Rui Cao※, Linzhi Su, Kang Li
Pattern Recognition
ROMP-DCP: Dictionary learning via regularized orthogonal matching pursuit and difference of convex programming for robust fluorescence molecular tomography
Linzhi Su, Huimin Gao, Limin Chen, Wenlong Tang, Yi Chen※, Chengyi Gao, Huangjian Yi and Xin Cao※
Biomedical Signal Processing and Control
2024 (8)
EIDU-Net: edge-preserved inception DenseGCN U-Net for LiDAR point cloud segmentation
Xueli Xu+, Jingyu Wang+, Qiuquan Zhu+, Ping Zhou, Guohua Geng, Knang Li※, Linzhi Su and Xin Cao※
Scientific Reports
KSAOPA: Dictionary learning method based on K-sparse approximation and Orthogonal Procrustes analysis for reconstruction in bioluminescence tomography
Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen※, Chengyi Gao, Huangjian Yi and Xin Cao※
Journal of Biophotonics
SBL-LCGL: Sparse Bayesian learning based on Laplace distribution for robust Cone-beam X-ray Luminescence Computed Tomography
Yifan Wang, Haoyu Wang, Qiuquan Zhu, Yi Chen, Linzhi Su※, Huangjian Yi, Chegnyi Gao and Xin Cao※
Physics in Medicine and Biology
PointUR-RL: Unified Self-Supervised Learning Method Based on Variable Masked Autoencoder for Point Cloud Reconstruction and Representation Learning
Kang Li, Qiuquan Zhu, Haoyu Wang, Shibo Wang, He Tian, Ping Zhou and Xin Cao※
Remote Sensing
SODL-IR-FISTA: Sparse Online Dictionary Learning with Iterative Reduction FISTA for cone-beam X-ray luminescence computed tomography
Xin Cao, Wenlong Tang, Huimin Gao, Yifan Wang, Yi Chen※, Chengyi Gao, Fengjun Zhao and Linzhi Su※
Biomedical Optics Express
PointStaClu: A Deep Point Cloud Clustering Method Based on Stable Cluster Discrimination
Xin Cao, Haoyu Wang, Qiuquan Zhu, Yifan Wang, Xiu Liu, Kang Li, Linzhi Su※
Remote Sensing
PointCluster: Deep Clustering of 3D Point Clouds With Semantic Pseudo-Labeling
Xiu Liu+, Xinxin Han+, Huan Xia, Kang Li, Haochen Zhao, Jia Jia, Gang Zhen, Linzhi Su※, Fengjun Zhao and Xin Cao※
IEEE Transactions on Geoscience and Remote Sensings
CPDC-MFNet: Conditional Point diffusion completion network with Muti-scale Feedback Refine for 3D Terracotta Warriors
Xueli Xu+, Da Song+, Guohua Geng※, Mingquan Zhou, Jie Liu※, Kang Li※ and Xin Cao※
Scientific Reports
2023 (7)
Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography
Gege Zhang, Jun Zhang, Yi Chen, Mengfei Du, Kang Li, Linzhi Su, Huangjian Yi, Fengjun Zhao and Xin Cao※
Computer Methods and Programs in Biomedicine
Self-Supervised Triplet Contrastive Learning for Classifying Endometrial Histopathological Images
Fengjun Zhao, Zhiwei Wang, Hongyan Du, Xiaowei He and Xin Cao※
IEEE Journal of Biomedical and Health Informatics
Gates joint locally connected network for accurate and robust reconstruction in optical molecular tomography
Minghua Zhao, Yahui Xiao, Jiaqi Zhang, Xin Cao, and Lin Wang*
Journal of Innovative Optical Health Sciences
Regularized reconstruction based on joint smoothly clipped absolute deviation regularization and graph manifold learning for Fluorescence Molecular Tomography
Jun Zhang, Gege Zhang, Yi Chen, Kang Li, Fengjun Zhao, Huangjian Yi, Linzhi Su※ and Xin Cao※
Physics in Medicine and Biology
Sparse reconstruction based on dictionary learning and group structure strategy for cone-beam X-ray luminescence computed tomography
Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li※, Linzhi Su※, Fengjun Zhao, Huangjian Yi and Xin Cao※
Optics Express
TGPS: Dynamic Point Cloud Down-sampling of the dense point clouds for Terracotta Warrior fragments
Jie Liu+, Da Song+, Guohua Geng※, Yu Tian, Mengna Yang, Yangyang Liu, Mingquan Zhou, Kang Li and Xin Cao※
Optics Express
Generalized Conditional Gradient Method with Adaptive Regularization Parameters for Fluorescence Molecular Tomography
Yi Chen, Mengfei Du, Jun Zhang, Gege Zhangn, Linzhi Su※, Kang Li, Fengjun Zhao, Huangjian Yi, Lin Wang and Xin Cao※
Optics Express
2022 (15)
Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization
Wei Liu, Li Chen※, Xingxing Hao※, Wei Zhou, Xin Cao, Fei Xie
Swarm and Evolutionary Computation
MRI-Based Radiomics Nomogram for Preoperative Differentiation Between Ocular Adnexal Lymphoma and Idiopathic Orbital Inflammation
Lijuan Yang, Huachen Zhang, Xiaoyang Xie, Shijie Jiang, Hui Zhang, Xin Cao, Yuqing Hou, Xiaowei He, Junming Wang, Tao Zhang※, Fengjun Zhao※
Journal of Magnetic Resonance Imaging
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, Xiaowei He※
Computer Methods and Programs in Biomedicine
ULD-Net：3D Unsupervised Learning by Dense Similarity Learning with Equivariant-Crop
Yu Tian, Da Song, Mengna Yang, Jie Liu※, Guohua Geng, Kang Li, Mingquan Zhou and Xin Cao※
Journal of the Optical Society of America A
ABPO-TVSCAD: Alternating Bregman Proximity Operators Approach Based on TVSCAD Regularization for Bioluminescence Tomography
Yi Chen, Mengfei Du, Weitong Li, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※
Physics in Medicine and Biology
MSCN-NET: Multi-Stage Cascade Neural Network based on attention mechanism for Cerenkov luminescence tomography
Mengfei Du, Yi Chen, Weitong Li, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※
Journal of Applied Physics
GCR-Net: 3D Graph Convolution-based Residual Network for Robust Reconstruction in Cerenkov Luminescence Tomography
Weitong Li, Mengfei Du, Yi Chen, Haolin Wang, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※
Journal of Innovative Optical Health Sciences
Elastic Net-based Non-Negative Iterative Three-Operator Splitting Strategy for Cerenkov Luminescence Tomography
Yi Chen, Weitong Li, Mengfei Du, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※
Optics Express
Feature-preserving simplification framework for 3D point cloud
Xueli Xu, Kang Li※, Yifei Ma, Guohua Geng, Jingyu Wang, Mingquan Zhou and Xin Cao※
Scientific Reports
UMA-Net: an unsupervised representation learning network for 3D point cloud classification
Jie Liu+, Yu Tian+, Guohua Geng+※, Haolin Wang, Da Song, Kang Li, Mingquan Zhou and Xin Cao※
Journal of the Optical Society of America A
PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features
Weicheng Huang†, Jingyi Wang†, Haolin Wang, Yuxiang Zhang, Fengjun Zhao, Kang Li, Linzhi Su※, Fei Kang※ and Xin Cao※
Frontiers in Pharmacology
Multi-scale upsampling GAN based Hole-filling Framework for High-quality 3D Cultural heritage artifacts
Yong Ren+, Tong Chu+, Yifei Jiao, Mingquan Zhou※, Guohua Geng, Kang Li※ and Xin Cao※
Applied Sciences
Establishment and optimization of radiomics algorithms for prediction of KRAS gene mutation by integration of NSCLC gene mutation mutual exclusion information
Jingyi Wang, Xing Lv, Weicheng Huang, Zhiyong Quan, Guiyu Li, Shuo Wu, Yirong Wang, Zhaojuan Xie, Yuhao Yan, Xiang Li, Wenhui Ma, Weidong Yang, Xin Cao※, Fei Kang※, Jing Wang※
Frontiers in Pharmacology
Change Detection for Multi-Spectral Images Using Modified Semantic Segmentation Network
Linzhi Su, Qiaoyun Xie, Fengjun Zhao, Xin Cao※
Journal of Applied Remote Sensing
ICA-Unet: An Improved U-Net Network for Brown Adipose Tissue Segmentation
Haolin Wang, Zhonghao Wang, Jingle Wang, Kang Li, Guohua Geng, Fei Kang※, Xin Cao※
Journal of Innovative Optical Health Sciences
2021 (7)
Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level
Yibing Chen, Siqi Fan, Yongfeng Chen, Chang Che, Xin Cao, Xiaowei He, Xiaolei Song, Fengjun Zhao※
MEDICAL PHYSICS
A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation
Xiaoyang Xie, Lijuan Yang※, Fengjun Zhao※, Dong Wang, Hui Zhang, Xuelei He, Xin Cao, Huangjian Yi, Xiaowei He and Yuqing Hou※
European Radiology
TDNet: Transformer-based network for point cloud denoising
Xueli Xu, Guohua Geng※, Xin Cao※, Kang Li and Mingquan Zhou
Applied Optics
Hole-filling framework by combining structural and textural information for the 3D Terracotta Warriors
Tong Chu, Wenmin Yao, Jie Liu, Xueli Xu, Haiyang Nan, Xin Cao※, Kang Li, and Mingquan Zhou
Journal of Applied Remote Sensing
A self-adaptive learning method for motion blur kernel estimation of the single image
Wei Zhou, Xingxing Hao※, Jin Cui, Yongxiang Yu, Xin Cao※, Arjan Kuijper
Optik
AMS-Net: An attention-based multi-scale network for classification of 3D Terracotta Warrior fragments
Jie liu†, Xin Cao†, Pingchuan Zhang, Xueli Xu, Yangyang Liu, Guohua Geng※, Fengjun Zhao, Kang Li, Mingquan Zhou
Remote Sensing
SPPD: A Novel Reassembly Method for 3D Terracotta Warrior Fragments Based on Fracture Surface Information
Wenmin Yao, Tong Chu, Wenlong Tang, Jingyu Wang, Xin Cao※, Fengjun Zhao, Kang Li, Guohua Geng, Mingquan Zhou
ISPRS Int. J. Geo-Inf
2020 (6)
A deep unsupervised clustering-based post-processing framework for high-fidelity Cerenkov Luminescence Tomography
Xin Cao, Jun Zhang, Jianan Yang, Chunxiao Fan, Fengjun Zhao, Wei Zhou※, Lin Wang, Guohua Geng, Mingquan Zhou and Xueli Chen※
Journal of Applied Physics
Development of tomographic reconstruction for three-dimensional optical imaging: From the inversion of light propagation to artificial intelligence
Xin Cao, Kang Li, Xueli Xu, Karen M von Deneen, Guohua Geng, Xueli Chen※
Artificial Intelligence in Medical Imaging
Simplification Method for 3D Terracotta WarriorFragments Based on Local Structure and Deep Neural networks
Guohue Geng, Jie Liu, Xin Cao※, Yangyang Liu, Wei Zhou, Fengjun Zhao, Linzhi Su, Kang Li※ and Mingquan Zhou
Journal of the Optical Society of America A
Classification of 3D Terracotta Warriors fragments based on geospatial and texture information
Kang Yang, Xin Cao※, Guohua Geng, Kang Li※ and Mingquan Zhou
Journal of Visualization
Improved estimation of motion blur parameters for restoration from a single image
Wei Zhou, Xingxing Hao※, Kaidi Wang, Zhenyang Zhang, Yongxiang Yu, Haonan Su, Kang Li※, Xin Cao※, Arjan Kuijper
Plos One
The image reconstruction for fluorescence molecular tomography via a non-uniform mesh
B. Wang, P. Jiao, H. Yi※, Xin Cao, F. Zhao, Y. Hou, and X. He※
Optical Review
2019 (5)
An automatic multi-class coronary atherosclerosis plaque detection and classification framework
Fengjun Zhao, Bin Wu, Fei Chen, Xin Cao, Huangjian Yi, Yuqing Hou, Xiaowei He※, and Jimin Liang
Medical & Biological Engineering & Computing
A fuzzy artificial neural network-based method for Cerenkov luminescence tomography
Xiao Wei, Di Lu, Xin Cao※, Linzhi Su, Lin Wang, Hongbo Guo, Yuqing Hou, and Xiaowei He※
Aip Advances
Adaptively Hybrid 3rd Simplified Spherical Harmonics With Diffusion Equation-Based Multispectral Cerenkov Luminescence Tomography
Lin Wang, Honghao Cao, Xin Cao, Shenghan Ren, Ke Li, Yonghua Zhan, Xueli Chen, and Xiaowei He※
Ieee Access
A parallel arithmetic for hardware realization of digital filters
Chunxiao Fan, Fu Li, Xin Cao, Biao Qian, and Peipei Song
Microelectronics Journal
A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence Tomography
Xin Cao, Xiao Wei, Feng Yan, Lin Wang, Linzhi Su, Yuqing Hou, Guohua Geng, and Xiaowei He
Ieee Access
2018 (6)
A monocentric centerline extraction method for ring-like blood vessels
Fengjun Zhao, Feifei Sun, Yuqing Hou, Yanrong Chen, Dongmei Chen, Xin Cao, Huangjian Yi, Bin Wang, Xiaowei He, and Jimin Liang
Medical & Biological Engineering & Computing
Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network
Fengjun Zhao, Yibing Chen, Fei Chen, Xuelei He, Xin Cao, Yuqing Hou, Huangjian Yi, Xiaowei He, and Jimin Liang
Ieee Access
Hybrid model based unified scheme for endoscopic Cerenkov and radio-luminescence tomography: Simulation demonstration
Lin Wang, Xin Cao, Qingyun Ren, Xueli Chen, and Xiaowei He
Journal of Applied Physics
Feasibility study of radioluminescence film imaging: an optical way to detect medical radionuclides
Lin Wang, Xin Cao※, Xu Cao, Fei Kang, Yonghua Zhan, Xiaowei He, Jing Wang, and Xueli Chen
Optoelectronics and Advanced Materials-Rapid Communications
Fuzzy autoencoder for multiple change detection in remote sensing images
Linzhi Su, and Xin Cao※
Journal of Applied Remote Sensing
A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion
Xin Cao, Yi Sun, Fei Kang, Lin Wang, Huangjian Yi, Fengjun Zhao, Linzhi Su, and Xiaowei He
Journal of Innovative Optical Health Sciences
2015 (3)
Feasibility study of novel endoscopic Cerenkov luminescence imaging system in detecting and quantifying gastrointestinal disease: first human results
Hao Hu†, Xin Cao†, Fei Kang, Min Wang, Yenan Lin, Muhan Liu, Shujun Li, Liping Yao, Jie Liang, Jimin Liang, Yongzhan Nie, Xueli Chen, Jing Wang, and Kaichun Wu
European Radiology
Intensity Enhanced Cerenkov Luminescence Imaging Using Terbium-Doped Gd2O2S Microparticles
Xin Cao, Xueli Chen, Fei Kang, Yonghua Zhan, Xu Cao, Jing Wang, Jimin Liang, and Jie Tian
Acs Applied Materials & Interfaces
Sensitivity improvement of Cerenkov luminescence endoscope with terbium doped Gd2O2S nanoparticles
Xin Cao, Xueli Chen, Fei Kang, Xu Cao, Yonghua Zhan, Jing Wang, Kaichun Wu, and Jimin Liang
Applied Physics Letters
2025 (4)
Sparse Reconstruction based on K-Sparse Dictionary Learning Method for Bioluminescence Tomography
Kang Li, Bianbian Yang, Yi Chen, Linzhi Su※, Chenyang Zhang, Fengjun Zhao, Yansong Wu, Yiting He and Xin Cao※
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Adaptive Online Variational Bayesian Method based on Normal-Generalized Inverse Gaussian Prior for Bioluminescence Tomography
Yiting He, Xingxing Hao※, Yi Chen, Linzhi Su, Chenyang Zhang, Fengjun Zhao, Yansong Wu, Xin Cao※
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
SABR-MIA: Support-driven Adaptive Bayesian Reweighting with Momentum Iterative Acceleration for Sparse Reconstruction in Bioluminescence Tomography
Kang Li, Gege Zhang, Yi Chen, Linshi Su※, Huangjian Yi, Fengjun Zhao, Yansong Wu, Yiting He and Xin Cao※
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
A Novel Joint Multi-Graph Learning Framework for Dynamic Functional Connectivity Network Estimation Across Multiple Time Scale
Sumin Liu, Minghan Chen, Xin Cao※, Zhe Sheng, Junmei Sun, Ju Zhang, Shuai Wang, Guorong Wu, Defu Yang
IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
2024 (4)
PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization
Xin Cao, Huan Xia, Haoyu Wang, Linzhi Su, Ping Zhou and Kang Li※
The 32th Pacific Conference on Computer Graphics and Applications (Pacific Graphics)
Point-AGM : Attention Guided Masked Auto-Encoder for Joint Self-supervised Learning on Point Clouds
Jie Liu, Mengna Yang, Yu Tian, Da Song, Kang Li, Xin Cao※
The 32th Pacific Conference on Computer Graphics and Applications (Pacific Graphics)
Point-MSD: Jointly Mamba Self-Supervised Self-Distilling Point Cloud Representation Learning
Linzhi Su, Mengna Yang, Jie Liu, Xingxing Hao※, Xin Cao
The 17th IEEE International Conference on Signal Processing
Online Dictionary Learning Method for Cone-beam X-ray Luminescence Computed Tomography Reconstruction: A Preliminary Simulation Study
Xin Cao, Wenlong Tang, Yi Chen, Linzhi Su, Xingxing Hao※
The 17th IEEE International Conference on Signal Processing
2023 (4)
Regularization parameter based on incomplete variables for X-ray luminescence computed tomography
Huangjian Yi※, Zijian Tang, Ruigang Yang, Fengjun Zhao, Xin Cao, Lizhi Zhang, Xiaowei He and Yuqing Hou
The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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, Bin Wang※ and Cao Xin※
The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
FISTA-NET: Deep Algorithm Unrolling for Cerenkov luminescence tomography
Xin Cao, Mengfei Du, Yi Chen, Gege Zhang, Jun Zhang, Weitong Li, Kang Li※ and Fengjun Zhao※
The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
K-CapsNet: K-Nearest Neighbor Based Convolution Capsule Network for Cerenkov Luminescence Tomography Reconstruction
Xin Cao, Weitong Li, Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li※ and Linzhi Su※
The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
结合稳定学习与混合增强的病理学图像分类方法及系统
曹欣, 汪志伟, 赵凤军, 苏临之
CN202310252563.9
一种多对比学习冠状动脉高危斑块检测方法、系统及终端
易黄建, 侯凌文, 赵凤军, 曹欣, 侯榆青, 贺小伟
CN202310252426.5
一种眼眶淋巴瘤和炎性假瘤分类方法、系统、设备及终端
赵凤军, 康皓贝, 张涛, 王宾, 曹欣, 易黄建, 彭进业, 贺小伟
CN202310252538.0
一种结合递归式推理与特征再优化的秦俑纹理修复方法
周明全, 南海阳, 周蓬勃, 任勇, 刘阳洋, 曹欣
CN202310257663.0
一种基于改进的Transformer的秦俑碎块去噪方法
徐雪丽, 耿国华, 王红珍, 王敬禹, 周明全, 曹欣
CN202211133859.0
一种基于自适应近邻正交最小二乘算法的光源重建方法
易黄建, 马思豪, 杨瑞刚, 唐子坚, 赵凤军, 曹欣, 郭红波, 何雪磊, 侯榆青, 贺小伟
CN202210665288.9
一种基于不完全变量框架下残差引导的光源重建方法
侯榆青, 马思豪, 唐子坚, 易黄建, 赵凤军, 曹欣, 郭红波, 何雪磊, 贺小伟
CN202210665286.X
一种荧光分子断层成像快速重建方法、系统、设备及存储介质
赵凤军, 钟升, 易黄建, 马思豪, 唐子坚, 曹欣, 何雪磊, 郭红波, 侯榆青, 贺小伟
CN202210397377.X
一种基于断裂面信息的兵马俑碎块拼接方法及系统
耿国华, 姚文敏, 周明全, 曹欣, 吉晓瑶, 刘景怡, 刘喆, 张军, 褚彤
CN202110225329.8
基于多尺度点云上采样的三维模型建立、修复方法及系统
周明全, 褚彤, 耿国华, 曹欣, 李康
CN202010962487.7
一种结合多种网络的半监督冠状动脉分割系统及分割方法 授权
赵凤军, 张涵, 朱元强, 范思琪, 任静芳, 曹欣, 彭进业, 贺小伟, 侯榆青
CN111476796B
结合卷积神经网络与循环神经网络的血管中心线追踪方法 授权
赵凤军, 赵嘉铭, 陈一兵, 曹欣, 易黄建, 贺小伟, 彭进业, 侯榆青
CN111145200B
一种荧光分子断层成像可行域优化方法 授权
宋小磊, 焦璞, 易黄建, 梁嘉翔, 赵凤军, 曹欣, 贺小伟, 侯榆青
CN201910014241.4
基于关键点检测和深度学习的软组织器官图像分割方法 授权
赵凤军, 胡昊文, 侯榆青, 吴斌, 曹欣, 易黄建, 王宾, 贺小伟
CN201810772895.9
一种基于三支决策的荧光目标重建结果后处理方法 授权
易黄建, 焦璞, 任睿思, 赵凤军, 曹欣, 贺小伟, 侯榆青
CN201810425754.X
一种荧光分子断层成像目标可行域选取方法 授权
贺小伟, 胡跃林, 易黄建, 侯榆青, 王宾, 赵凤军, 曹欣
CN201711078146.8
一种基于高维空间变换的数据扩增方法、机器识别系统 授权
赵凤军, 吴斌, 贺小伟, 侯榆青, 易黄建, 曹欣, 王宾
CN201710899032.3
基于中心线提取的血管图像分割方法、核磁共振成像系统 授权
侯榆青, 孙飞飞, 赵凤军, 贺小伟, 陈一兵, 高培, 王宾, 易黄建, 曹欣
CN201710775038.X
单视图切伦科夫发光断层成像重建方法 授权
侯榆青, 薛花, 贺小伟, 曹欣, 孙怡, 卫潇
CN201710726261.5
基于统计形状模型的医学图像Graph Cut分割方法 授权
赵凤军, 陈雁蓉, 贺小伟, 贺小慧, 高培, 何雪磊, 孙飞飞, 曹欣, 易黄建, 侯榆青
CN201610838092.X
一种医用经内窥镜切伦科夫荧光成像系统 授权
陈雪利, 曹欣, 梁继民, 林叶楠, 杨德富, 朱守平, 屈晓超, 陈多芳, 田捷
ZL201310261548.7
深度和强度可调式的探头激光共聚焦显微内窥镜系统 授权
陈雪利, 曹欣, 梁继民, 林叶楠, 杨德福, 屈晓超, 陈多芳, 田捷
201310244603
激发荧光双目内窥系统 授权
陈雪利, 林叶楠, 曹欣, 梁继民, 屈晓超, 曹旭, 朱守平, 陈多芳, 田捷
201310665419
一种生物发光断层成像重建方法 授权
陈雪利, 张歧坦, 梁继民, 杨德富, 曹欣, 陈多芳, 朱守平, 屈晓超, 田捷
ZL201310259527.1
