国际期刊

 
Xueli Xu+, Da Song+, Guohua Geng※, Mingquan Zhou, Jie Liu※, Kang Li※ and Xin Cao※. “CPDC-MFNet: Conditional Point diffusion completion network with Muti-scale Feedback Refine for 3D Terracotta Warriors”, Scientific Reports. (2024). CODE click HERE
Gege Zhang, Jun Zhang, Yi Chen, Mengfei Du, Kang Li, Linzhi Su, Huangjian Yi, Fengjun Zhao and Xin Cao※. “Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography”, Computer Methods and Programs in Biomedicine. (2023).
Fengjun Zhao, Zhiwei Wang, Hongyan Du, Xiaowei He and Xin Cao※. “Self-Supervised Triplet Contrastive Learning for Classifying Endometrial Histopathological Images”, IEEE Journal of Biomedical and Health Informatics. (2023).
Minghua Zhao, Yahui Xiao, Jiaqi Zhang,Xin Cao, and Lin Wang*. “Gates joint locally connected network for accurate and robust reconstruction in optical molecular tomography”, Journal of Innovative Optical Health Sciences. (2023).
Jun Zhang, Gege Zhang, Yi Chen, Kang Li, Fengjun Zhao, Huangjian Yi, Linzhi Su※ and Xin Cao※. “Regularized reconstruction based on joint smoothly clipped absolute deviation regularization and graph manifold learning for Fluorescence Molecular Tomography”, Physics in Medicine and Biology. (2023).
Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li※, Linzhi Su※, Fengjun Zhao, Huangjian Yi and Xin Cao※. “Sparse reconstruction based on dictionary learning and group structure strategy for cone-beam X-ray luminescence computed tomography”, Optics Express. (2023).
Jie Liu+,Da Song+, Guohua Geng※, Yu Tian, Mengna Yang, Yangyang Liu, Mingquan Zhou, Kang Li and Xin Cao※. “TGPS: Dynamic Point Cloud Down-sampling of the dense point clouds for Terracotta Warrior fragments”, Optics Express. (2023).
Yi Chen, Mengfei Du, Jun Zhang, Gege Zhangn, Linzhi Su※, Kang Li, Fengjun Zhao, Huangjian Yi, Lin Wang and Xin Cao※. “Generalized Conditional Gradient Method with Adaptive Regularization Parameters for Fluorescence Molecular Tomography”, Optics Express. (2023).
Wei Liu, Li Chen※, Xingxing Hao※, Wei Zhou, Xin Cao, Fei Xie. “Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization”, Swarm and Evolutionary Computation. (2022).
Lijuan Yang, Huachen Zhang, Xiaoyang Xie, Shijie Jiang, Hui Zhang, Xin Cao, Yuqing Hou, Xiaowei He, Junming Wang, Tao Zhang※, Fengjun Zhao※. “MRI-Based Radiomics Nomogram for Preoperative Differentiation Between Ocular Adnexal Lymphoma and Idiopathic Orbital Inflammation”, Journal of Magnetic Resonance Imaging. (2022).
Fengjun Zhao, Didi Dong, Hongyan Du, Yinan Guo, Xue Su, Zhiwei Wang, Xiaoyang Xie, Mingjuan Wang, Haiyan Zhang, Xin Cao, Xiaowei He※. “Diagnosis of endometrium hyperplasia and screening of endometrial intraepithelial neoplasia in histopathological images using a global-to-local multi-scale convolutional neural network”, Computer Methods and Programs in Biomedicine. (2022).
Yu Tian, Da Song, Mengna Yang, Jie Liu※, Guohua Geng, Kang Li, Mingquan Zhou and Xin Cao※. “ULD-Net:3D Unsupervised Learning by Dense Similarity Learning with Equivariant-Crop”, Journal of the Optical Society of America A. (2022). CODE click HERE
Yi Chen, Mengfei Du, Weitong Li, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※. “ABPO-TVSCAD: Alternating Bregman Proximity Operators Approach Based on TVSCAD Regularization for Bioluminescence Tomography”, Physics in Medicine and Biology. (2022).
Mengfei Du, Yi Chen, Weitong Li, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※. “MSCN-NET: Multi-Stage Cascade Neural Network based on attention mechanism for Cerenkov luminescence tomography”, Journal of Applied Physics. (2022). CODE click HERE
Weitong Li, Mengfei Du, Yi Chen, Haolin Wang, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※. “GCR-Net: 3D Graph Convolution-based Residual Network for Robust Reconstruction in Cerenkov Luminescence Tomography”, Journal of Innovative Optical Health Sciences. (2022). CODE click HERE
Yi Chen, Weitong Li, Mengfei Du, Linzhi Su※, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang and Xin Cao※. “Elastic Net-based Non-Negative Iterative Three-Operator Splitting Strategy for Cerenkov Luminescence Tomography”, Optics Express. (2022).
Xueli Xu, Kang Li※, Yifei Ma, Guohua Geng, Jingyu Wang, Mingquan Zhou and Xin Cao※. “Feature-preserving simplification framework for 3D point cloud”, Scientific Reports. (2022).
Jie Liu+, Yu Tian+, Guohua Geng+※, Haolin Wang, Da Song, Kang Li, Mingquan Zhou and Xin Cao※. “UMA-Net: an unsupervised representation learning network for 3D point cloud classification”, Journal of the Optical Society of America A. (2022).
Weicheng Huang† , Jingyi Wang† , Haolin Wang , Yuxiang Zhang , Fengjun Zhao ,Kang Li , Linzhi Su※, Fei Kang※ and Xin Cao※. “PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features”, Frontiers in Pharmacology. (2022).
Yong Ren+, Tong Chu+, Yifei Jiao, Mingquan Zhou※, Guohua Geng, Kang Li※ and Xin Cao※. “Multi-scale upsampling GAN based Hole-filling Framework for High-quality 3D Cultural heritage artifacts”, Applied Sciences. (2022).
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※. “Establishment and optimization of radiomics algorithms for prediction of KRAS gene mutation by integration of NSCLC gene mutation mutual exclusion information”, Frontiers in Pharmacology. (2022). CODE click HERE
Linzhi Su, Qiaoyun Xie, Fengjun Zhao, Xin Cao※. “Change Detection for Multi-Spectral Images Using Modified Semantic Segmentation Network”, Journal of Applied Remote Sensing. (2022).
Haolin Wang, Zhonghao Wang, Jingle Wang, Kang Li, Guohua Geng, Fei Kang※, Xin Cao※, “ICA-Unet: An Improved U-Net Network for Brown Adipose Tissue SegmentationJournal of Innovative Optical Health Sciences (2022).
Yibing Chen,Siqi Fan,Yongfeng Chen,Chang Che,Xin Cao,Xiaowei He,Xiaolei Song,Fengjun Zhao※. “Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level”, MEDICAL PHYSICS. (2021).
Xiaoyang Xie, Lijuan Yang※, Fengjun Zhao※, Dong Wang, Hui Zhang, Xuelei He, Xin Cao, Huangjian Yi, Xiaowei He and Yuqing Hou※. “A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation”, European Radiology. (2021).
Xueli Xu, Guohua Geng※, Xin Cao※, Kang Li and Mingquan Zhou. “TDNet: Transformer-based network for point cloud denoising”, Applied Optics. (2021).
Tong Chu, Wenmin Yao, Jie Liu, Xueli Xu, Haiyang Nan, Xin Cao※, Kang Li, and Mingquan Zhou. “Hole-filling framework by combining structural and textural information for the 3D Terracotta Warriors”, Journal of Applied Remote Sensing. (2021).
Wei Zhou, Xingxing Hao※, Jin Cui, Yongxiang Yu, Xin Cao※, Arjan Kuijper. “A self-adaptive learning method for motion blur kernel estimation of the single image”, Optik. (2021).
Jie liu†, Xin Cao†, Pingchuan Zhang, Xueli Xu, Yangyang Liu, Guohua Geng※, Fengjun Zhao, Kang Li, Mingquan Zhou. “AMS-Net: An attention-based multi-scale network for classification of 3D Terracotta Warrior fragments”, Remote Sensing. (2021) (equal contribution).
Wenmin Yao, Tong Chu, Wenlong Tang, Jingyu Wang, Xin Cao※, Fengjun Zhao, Kang Li, Guohua Geng, Mingquan Zhou. “SPPD: A Novel Reassembly Method for 3D Terracotta Warrior Fragments Based on Fracture Surface Information”, ISPRS Int. J. Geo-Inf. (2021).
Xin Cao, Jun Zhang, Jianan Yang, Chunxiao Fan, Fengjun Zhao, Wei Zhou※, Lin Wang, Guohua Geng, Mingquan Zhou and Xueli Chen※. “A deep unsupervised clustering-based post-processing framework for high-fidelity Cerenkov Luminescence Tomography”, Journal of Applied Physics (2020).
Xin Cao, Kang Li, Xueli Xu, Karen M von Deneen, Guohua Geng, Xueli Chen※. “Development of tomographic reconstruction for three-dimensional optical imaging: From the inversion of light propagation to artificial intelligence”, Artificial Intelligence in Medical Imaging (2020).
Guohue Geng, Jie Liu, Xin Cao※, Yangyang Liu, Wei Zhou, Fengjun Zhao, Linzhi Su, Kang Li※ and Mingquan Zhou. “Simplification Method for 3D Terracotta WarriorFragments Based on Local Structure and Deep Neural networks”, Journal of the Optical Society of America A (2020).
Kang Yang, Xin Cao※, Guohua Geng, Kang Li※ and Mingquan Zhou. “Classification of 3D Terracotta Warriors fragments based on geospatial and texture information”, Journal of Visualization (2020).
Wei Zhou, Xingxing Hao※, Kaidi Wang, Zhenyang Zhang, Yongxiang Yu, Haonan Su, Kang Li※, Xin Cao※, Arjan Kuijper. “Improved estimation of motion blur parameters for restoration from a single image”, Plos One 9 (2020).
B. Wang, P. Jiao, H. Yi※, Xin Cao, F. Zhao, Y. Hou, and X. He※, “The image reconstruction for fluorescence molecular tomography via a non-uniform meshOptical Review 27, 31-38 (2020).
Fengjun Zhao, Bin Wu, Fei Chen, Xin Cao, Huangjian Yi, Yuqing Hou, Xiaowei He※, and Jimin Liang. “An automatic multi-class coronary atherosclerosis plaque detection and classification frameworkMedical & Biological Engineering & Computing 57, 245-257 (2019).
Xiao Wei, Di Lu, Xin Cao※, Linzhi Su, Lin Wang, Hongbo Guo, Yuqing Hou, and Xiaowei He※. “A fuzzy artificial neural network-based method for Cerenkov luminescence tomographyAip Advances 9 (2019).
Lin Wang, Honghao Cao, Xin Cao, Shenghan Ren, Ke Li, Yonghua Zhan, Xueli Chen, and Xiaowei He※. “Adaptively Hybrid 3rd Simplified Spherical Harmonics With Diffusion Equation-Based Multispectral Cerenkov Luminescence TomographyIeee Access 7, 160779-160785 (2019).
Chunxiao Fan, Fu Li, Xin Cao, Biao Qian, and Peipei Song, “A parallel arithmetic for hardware realization of digital filtersMicroelectronics Journal 83, 131-136 (2019).
Xin Cao, Xiao Wei, Feng Yan, Lin Wang, Linzhi Su, Yuqing Hou, Guohua Geng, and Xiaowei He, “A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence TomographyIeee Access 7, 85178-85189 (2019).
Fengjun Zhao, Feifei Sun, Yuqing Hou, Yanrong Chen, Dongmei Chen, Xin Cao, Huangjian Yi, Bin Wang, Xiaowei He, and Jimin Liang, “A monocentric centerline extraction method for ring-like blood vesselsMedical & Biological Engineering & Computing 56, 695-707 (2018).
Fengjun Zhao, Yibing Chen, Fei Chen, Xuelei He, Xin Cao, Yuqing Hou, Huangjian Yi, Xiaowei He, and Jimin Liang, “Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural NetworkIeee Access 6, 67841-67852 (2018).
Lin Wang, Xin Cao, Qingyun Ren, Xueli Chen, and Xiaowei He, “Hybrid model based unified scheme for endoscopic Cerenkov and radio-luminescence tomography: Simulation demonstrationJournal of Applied Physics 123 (2018).
Lin Wang, Xin Cao※, Xu Cao, Fei Kang, Yonghua Zhan, Xiaowei He, Jing Wang, and Xueli Chen, “Feasibility study of radioluminescence film imaging: an optical way to detect medical radionuclidesOptoelectronics and Advanced Materials-Rapid Communications 12, 542-546 (2018).
Linzhi Su, and Xin Cao※, “Fuzzy autoencoder for multiple change detection in remote sensing imagesJournal of Applied Remote Sensing 12 (2018).
Xin Cao, Yi Sun, Fei Kang, Lin Wang, Huangjian Yi, Fengjun Zhao, Linzhi Su, and Xiaowei He, “A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusionJournal of Innovative Optical Health Sciences 11 (2018).
Yonghua Zhan, Xu Cao, Xin Cao, Yingchao Li, Jie Tian, Jimin Liang, and Xueli Chen, “Silica Cross-Linked Micellar Core-Shell Nanoparticles Encapsulating IR-780 with Strong Bright and Good Biocompatibility for Optical Imaging In VivoJournal of Biomedical Nanotechnology 13, 144-154 (2017).
Xin Cao, Yonghua Zhan, Xu Cao, Jimin Liang, and Xueli Chen, “Harnessing the Power of Cerenkov Luminescence Imaging for Gastroenterology: Cerenkov Luminescence EndoscopyCurrent Medical Imaging Reviews 13, 50-57 (2017).
Yonghua Zhan, Xu Cao, Xin Cao, Fei Kang, Jing Wang, Jimin Linag, Zhimin Li, and Xueli Chen, “Simultaneous multimodali molecular imaging with neodymium-doped Y3Al5O12 nanoparticlesOptoelectronics and Advanced Materials-Rapid Communications 10, 685-688 (2016).
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, “Feasibility study of novel endoscopic Cerenkov luminescence imaging system in detecting and quantifying gastrointestinal disease: first human resultsEuropean Radiology 25, 1814-1822 (2015) (equal contribution).
Xin Cao, Xueli Chen, Fei Kang, Yonghua Zhan, Xu Cao, Jing Wang, Jimin Liang, and Jie Tian, “Intensity Enhanced Cerenkov Luminescence Imaging Using Terbium-Doped Gd2O2S MicroparticlesAcs Applied Materials & Interfaces 7, 11775-11782 (2015).
Xin Cao, Xueli Chen, Fei Kang, Xu Cao, Yonghua Zhan, Jing Wang, Kaichun Wu, and Jimin Liang, “Sensitivity improvement of Cerenkov luminescence endoscope with terbium doped Gd2O2S nanoparticlesApplied Physics Letters 106 (2015).
Xin Cao, Xueli Chen, Fei Kang, Yenan Lin, Muhan Liu, Hao Hu, Yongzhan Nie, Kaichun Wu, Jing Wang, Jimin Liang, and Jie Tian. “Performance evaluation of endoscopic Cerenkov luminescence imaging system: in vitro and pseudotumor studiesBiomedical Optics Express 5, 3660-3670 (2014).
Xueli Chen, Jimin Liang, Xin Cao, Defu Yang, Dongmei Chen, Jorge Ripoll, and Jie Tian. “Feasibility study of endoscopic x-ray luminescence computed tomography: Simulation demonstration and phantom applicationJournal of Applied Physics 114 (2013).

国内期刊

 
杨佳楠;王忠昊 ;王昊霖 ;耿国华;曹欣※“改进BYOL的非小细胞肺癌表皮生长因子受体基因突变预测方法”光学精密工程,2022
李伟童;王昊霖 ;李康 ;耿国华;周明全 ;曹欣※“基于局部连接网络的切伦科夫荧光断层成像方法”激光与光电子学进展,2021
耿国华;姚文敏 ;周明全 ;刘杰;徐雪丽 ;曹欣※ ;刘阳洋;李康。“通过调整轮廓线权重的文物碎块自动拼接”西北大学学报,2021
周明全;褚彤 ;耿国华 ;姚文敏;张军 ;曹欣※“结构与纹理融合的三维文物孔洞修复方法”光学精密工程,2021
卢笛; 卫潇; 曹欣※; 贺小伟; 侯榆青。“基于自编码器的荧光分子断层成像快速重建”光学学报,2019
贺小伟; 卫潇; 曹欣※; 侯榆青。“基于空间信息改进聚类的切伦科夫荧光图像去噪算法”。光学学报,2018
贺小伟; 孙怡; 卫潇; 卢笛; 曹欣※; 侯榆青。“基于空间信息改进聚类的切伦科夫荧光图像去噪算法”光学学报,2018
侯榆青; 张文元; 王晓东; 贺小伟; 曹欣“结合流形正则和变量分离近似稀疏重构的荧光分子断层成像”光学精密工程,2018
侯榆青; 薛花; 曹欣; 张海波; 曲璇; 贺小伟。“基于稀疏贝叶斯学习的单视图增强型切伦科夫发光断层成像”光学学报,2017

国际/国内会议

 
Huangjian Yi※, Zijian Tang, Ruigang Yang, Fengjun Zhao, Xin Cao, Lizhi Zhang, Xiaowei He and Yuqing Hou. “Regularization parameter based on incomplete variables for X-ray luminescence computed tomography”. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. (Poster presentation)
Fengjun Zhao, Kaiming Huang, Zhipeng Sun, Xin Chen, Xiaowei He, Bin Wang※ and Cao Xin※. “Consistent Learning-Based Breast Tumor Segmentation and Its Application in Sentinel Lymph Node Metastasis Prediction”. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. (Poster presentation)
Xin Cao, Mengfei Du, Yi Chen, Gege Zhang, Jun Zhang, Weitong Li, Kang Li※ and Fengjun Zhao※. “FISTA-NET: Deep Algorithm Unrolling for Cerenkov luminescence tomography”. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. (Oral presentation)
Xin Cao, Weitong Li, Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li※ and Linzhi Su※. “K-CapsNet: K-Nearest Neighbor Based Convolution Capsule Network for Cerenkov Luminescence Tomography Reconstruction”. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. (Oral presentation)
Yao Hu, Wei Zhou, Guohua Geng, Kang Li, Xingxing Hao, Xin Cao. “Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)”, The 5th International Conference on Computer Science and Application Engineering. (2021).
Xin Cao, et al. “Improving sensitivity of endoscopy-based Cerenkov luminescence imaging system using radioluminescence microparticles”. Annual Meeting of Society of Nuclear Medicine and Molecular Imaging 2015, Jun. 2015. (Poster presentation)
Xin Cao, et al. “A novel imaging algorithm for endoscopic Cerenkov luminescence tomography”. World Molecular Imaging Congress 2014, Sep. 2014. (Poster presentation)
Xin Cao, et al. “Sensitivity evaluation of endoscopic Cerenkov luminescence imaging system”. Annual Meeting of Society of Nuclear Medicine and Molecular Imaging 2014, Jun. 2014. (Poster presentation)
Xin Cao, et al. “A feasibility study of an endoscopic Cerenkov luminescence imaging system”. Annual Meeting of Society of Nuclear Medicine and Molecular Imaging 2013, Jun. 2013. (Oral presentation)
Xin Cao, et al. “Calibration of the endoscopic Cerenkov luminescence imaging system”. World Molecular Imaging Congress 2013, Sep. 2013. (Poster presentation)
Xueli Chen, Xin Cao, et al. “Monitoring ApoG2 therapy in gastric and colorectal cancers with endoscopic Cerenkov luminescence imaging and positron emission tomography”. World Molecular Imaging Congress 2014, Sep. 2014. (Oral presentation)
Xueli Chen, Defu Yang, Xin Cao, et al. “Specific modeling of light transport in biological tissues for Cerenkov luminescence tomography”. Annual Meeting of Society of Nuclear Medicine and Molecular Imaging 2014, Jun. 2014. (Oral presentation)
Shouping Zhu,Xin Cao, et al. “3DBoneView : A 3D bone quantification and visualization software for micro-CT imaging”. World Molecular Imaging Congress 2012, Sep. 2012. (Poster presentation)

受理/授权发明专利

 
曹欣;汪志伟;赵凤军;苏临之。结合稳定学习与混合增强的病理学图像分类方法及系统。申请专利号:CN202310252563.9
易黄建;侯凌文;赵凤军;曹欣;侯榆青;贺小伟。一种多对比学习冠状动脉高危斑块检测方法、系统及终端。申请专利号:CN202310252426.5
赵凤军;康皓贝;张涛;王宾;曹欣;易黄建;彭进业;贺小伟。一种眼眶淋巴瘤和炎性假瘤分类方法、系统、设备及终端。申请专利号: CN202310252538.0
周明全;南海阳;周蓬勃;任勇;刘阳洋;曹欣。一种结合递归式推理与特征再优化的秦俑纹理修复方法。申请专利号:CN202310257663.0
徐雪丽;耿国华;王红珍;王敬禹;周明全;曹欣。一种基于改进的Transformer的秦俑碎块去噪方法。申请专利号:CN202211133859.0
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。一种基于自适应近邻正交最小二乘算法的光源重建方法。申请专利号: CN202210665288.9
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。一种基于不完全变量框架下残差引导的光源重建方法。申请专利号:CN202210665286.X
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。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。申请专利号: CN202210397377.X
耿国华;姚文敏;周明全;曹欣;吉晓瑶;刘景怡;刘喆;张军;褚彤。一种基于断裂面信息的兵马俑碎块拼接方法及系统。申请专利号:CN202110225329.8
周明全;褚彤;耿国华;曹欣;李康。基于多尺度点云上采样的三维模型建立、修复方法及系统。申请专利号:CN202010962487.7
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。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。授权专利号:CN111476796B
赵凤军;赵嘉铭;陈一兵;曹欣;易黄建;贺小伟;彭进业;侯榆青。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。授权专利号:CN111145200B
宋小磊;焦璞;易黄建;梁嘉翔;赵凤军;曹欣;贺小伟;侯榆青。一种荧光分子断层成像可行域优化方法。授权专利号:CN201910014241.4
赵凤军;胡昊文;侯榆青;吴斌;曹欣;易黄建;王宾;贺小伟。基于关键点检测和深度学习的软组织器官图像分割方法。授权专利号:CN201810772895.9
易黄建;焦璞;任睿思;赵凤军;曹欣;贺小伟;侯榆青。一种基于三支决策的荧光目标重建结果后处理方法。授权专利号:CN201810425754.X
贺小伟;胡跃林;易黄建;侯榆青;王宾;赵凤军;曹欣。一种荧光分子断层成像目标可行域选取方法。授权专利号:CN201711078146.8
赵凤军;吴斌;贺小伟;侯榆青;易黄建;曹欣;王宾。一种基于高维空间变换的数据扩增方法、机器识别系统。授权专利号:CN201710899032.3
侯榆青;孙飞飞;赵凤军;贺小伟;陈一兵;高培;王宾;易黄建;曹欣。基于中心线提取的血管图像分割方法、核磁共振成像系统。授权专利号:CN201710775038.X
侯榆青;薛花;贺小伟;曹欣;孙怡;卫潇。单视图切伦科夫发光断层成像重建方法。授权专利号:CN201710726261.5
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。基于统计形状模型的医学图像Graph Cut分割方法。授权专利号:CN201610838092.X
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。一种医用经内窥镜切伦科夫荧光成像系统。授权专利号:ZL201310261548.7
陈雪利,曹欣,梁继民,林叶楠,杨德福,屈晓超,陈多芳,田捷。深度和强度可调式的探头激光共聚焦显微内窥镜系统。授权专利号:201310244603.1
陈雪利,林叶楠,曹欣,梁继民,屈晓超,曹旭,朱守平,陈多芳,田捷。激发荧光双目内窥系统。授权专利号:201310665419
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。一种生物发光断层成像重建方法。授权专利号:ZL201310259527.1

软件著作权

 
康菲,汪静,张月华,曹欣。西京医院放射性同位素活度计算器。登记号:2016SR005300