| Xueli Xu+, Jingyu Wang+, Qiuquan Zhu+, Ping Zhou, Guohua Geng, Knang Li※, Linzhi Su and Xin Cao※. “EIDU-Net: edge-preserved inception DenseGCN U-Net for LiDAR point cloud segmentation”, Scientific Reports. (2024). CODE click HERE |
| Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen※, Chengyi Gao, Huangjian Yi and Xin Cao※. “KSAOPA: Dictionary learning method based on K-sparse approximation and Orthogonal Procrustes analysis for reconstruction in bioluminescence tomography”, Journal of Biophotonics. (2024). |
| Yifan Wang, Haoyu Wang, Qiuquan Zhu, Yi Chen, Linzhi Su※, Huangjian Yi, Chegnyi Gao and Xin Cao※. “SBL-LCGL: Sparse Bayesian learning based on Laplace distribution for robust Cone-beam X-ray Luminescence Computed Tomography”, Physics in Medicine and Biology. (2024). |
| Kang Li, Qiuquan Zhu, Haoyu Wang, Shibo Wang, He Tian, Ping Zhou and Xin Cao※. “PointUR-RL: Unified Self-Supervised Learning Method Based on Variable Masked Autoencoder for Point Cloud Reconstruction and Representation Learning”, Remote Sensing. (2024). CODE click HERE |
| Xin Cao, Wenlong Tang, Huimin Gao, Yifan Wang, Yi Chen※, Chengyi Gao, Fengjun Zhao and Linzhi Su※. “SODL-IR-FISTA: Sparse Online Dictionary Learning with Iterative Reduction FISTA for cone-beam X-ray luminescence computed tomography”, Biomedical Optics Express. (2024). |
| Xin Cao, Haoyu Wang, Qiuquan Zhu, Yifan Wang, Xiu Liu, Kang Li, Linzhi Su※. “PointStaClu: A Deep Point Cloud Clustering Method Based on Stable Cluster Discrimination”, Remote Sensing. (2024). CODE click HERE |
| Xiu Liu+, Xinxin Han+, Huan Xia, Kang Li, Haochen Zhao, Jia Jia, Gang Zhen, Linzhi Su※, Fengjun Zhao and Xin Cao※. “PointCluster: Deep Clustering of 3D Point Clouds With Semantic Pseudo-Labeling”, IEEE Transactions on Geoscience and Remote Sensings. (2024). CODE click HERE |
| 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 Segmentation” Journal 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 mesh” Optical 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 framework” Medical & 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 tomography” Aip 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 Tomography” Ieee Access 7, 160779-160785 (2019). |
| Chunxiao Fan, Fu Li, Xin Cao, Biao Qian, and Peipei Song, “A parallel arithmetic for hardware realization of digital filters” Microelectronics 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 Tomography” Ieee 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 vessels” Medical & 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 Network” Ieee 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 demonstration” Journal 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 radionuclides” Optoelectronics and Advanced Materials-Rapid Communications 12, 542-546 (2018). |
| Linzhi Su, and Xin Cao※, “Fuzzy autoencoder for multiple change detection in remote sensing images” Journal 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 diffusion” Journal 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 Vivo” Journal 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 Endoscopy” Current 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 nanoparticles” Optoelectronics 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 results” European 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 Microparticles” Acs 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 nanoparticles” Applied 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 studies” Biomedical 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 application” Journal of Applied Physics 114 (2013). |
