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; Jimin Liang (IEEE Access, 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; 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 (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 (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; Jimin Liang (Medical Biol. Eng. Comput., 2019)

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods. - Yao Hu; Guohua Geng; Kang Li 005; Wei Zhou 012; Xingxing Hao; Xin Cao 004 (CoRR, 2020)

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net). - Yao Hu; Wei Zhou 012; Guohua Geng; Kang Li 005; Xingxing Hao; Xin Cao 004 (CSAE, 2021)

Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning. - Wei Zhou 012; Xin Cao 004; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (CoRR, 2021)

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds. - Wei Zhou 012; Xin Cao 004; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (CoRR, 2021)

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 004; Fengjun Zhao; Kang Li 005; Guohua Geng; Mingquan Zhou (ISPRS Int. J. Geo Inf., 2021)

Classification of 3D terracotta warriors fragments based on geospatial and texture information. - Kang Yang; Xin Cao 004; Guohua Geng; Kang Li 005; Mingquan Zhou (J. Vis., 2021)

AMS-Net: An Attention-Based Multi-Scale Network for Classification of 3D Terracotta Warrior Fragments. - Jie Liu; Xin Cao 004; Pingchuan Zhang; Xueli Xu; Yangyang Liu; Guohua Geng; Fengjun Zhao; Kang Li 005; Mingquan Zhou (Remote. Sens., 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 (Comput. Methods Programs Biomed., 2022)

Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization. - Wei Liu 156; Chen Li 030; Xingxing Hao; Wei Zhou 012; Xin Cao 004; Fei Xie (Swarm Evol. Comput., 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; Jimin Liang; Feng Cao; Fengjun Zhao (BIBM, 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; Bin Wang 084; Xin Cao 004 (EMBC, 2023)

PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization. - Xin Cao 004; Huan Xia; Xinxin Han; Yifan Wang; Kang Li 005; Linzhi Su (CoRR, 2023)

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

PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling. - Xiu Liu; Xinxin Han; Huan Xia; Kang Li 005; Haochen Zhao; Jia Jia; Gang Zhen; Linzhi Su; Fengjun Zhao; Xin Cao 004 (IEEE Trans. Geosci. Remote. Sens., 2024)

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 005; Linzhi Su; Huangjian Yi; Fengjun Zhao; Xin Cao 004 (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; Fengjun Zhao (IEEE J. Biomed. Health Informatics, 2024)

PointStaClu: A Deep Point Cloud Clustering Method Based on Stable Cluster Discrimination. - Xin Cao 004; Haoyu Wang; Qiuquan Zhu; Yifan Wang; Xiu Liu; Kang Li 005; Linzhi Su (Remote. Sens., 2024)

PointUR-RL: Unified Self-Supervised Learning Method Based on Variable Masked Autoencoder for Point Cloud Reconstruction and Representation Learning. - Kang Li 005; Qiuquan Zhu; Haoyu Wang; Shibo Wang; He Tian; Ping Zhou; Xin Cao 004 (Remote. Sens., 2024)

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; Xin Cao 004 (Biomed. Signal Process. Control., 2025)

Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning. - Xin Cao 004; Haoyu Wang; Yuzhu Mao; Xinda Liu; Linzhi Su; Kang Li 005 (CoRR, 2025)