Ultrashort echo time (UTE) magnetic resonance imaging of the short T2 components in white matter of the brain using a clinical 3T scanner. - Jiang Du 006; Guolin Ma; Shihong Li; Michael Carl; Nikolaus M. Szeverenyi; Scott VandenBerg; Jody Corey-Bloom; Graeme M. Bydder (NeuroImage, 2014)

HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. - Yongtao Zhang; Baiying Lei; Chao Fu; Jie Du 001; Xinjian Zhu; Xiaowei Han; Lei Du; Wenwen Gao; Tianfu Wang 001; Guolin Ma (ISBI, 2020)

Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation. - Si Ran; Jianli Ding; Bohua Liu; Xiangyu Ge; Guolin Ma (Sensors, 2021)

Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis. - Xuegang Song; Haimei Li; Wenwen Gao; Yue Chen; Tianfu Wang 001; Guolin Ma; Baiying Lei (IEEE Trans. Ind. Informatics, 2021)

3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. - Yongtao Zhang; Haimei Li; Jie Du 001; Jing Qin 001; Tianfu Wang 001; Yue Chen; Bing Liu; Wenwen Gao; Guolin Ma; Baiying Lei (IEEE Trans. Medical Imaging, 2021)

Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Haimei Li; Chuandong Li; Wenwen Gao; Yue Chen; Yaofa Wang; Haibo Xu; Guolin Ma; Baiying Lei (Appl. Soft Comput., 2022)

Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations. - Xianqi Meng; Jingfan Fan; Hongwei Yu; Jinrong Mu; Zongyu Li; Aocai Yang; Bing Liu; Kuan Lv; Danni Ai; Yucong Lin; Hong Song; Tianyu Fu 003; et al. (Knowl. Based Syst., 2022)

Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. - Yongtao Zhang; Ning Yuan; Zhiguo Zhang 001; Jie Du 001; Tianfu Wang 001; Bing Liu; Aocai Yang; Kuan Lv; Guolin Ma; Baiying Lei (Medical Image Anal., 2022)

USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation. - Yongtao Zhang; Ning Yuan; Bing Liu; Aocai Yang; Hongwei Yu; Kuan Lv; Jixin Luan; Pianpian Hu; Haijun Lei; Tianfu Wang 001; Guolin Ma; Baiying Lei (EMBC, 2023)

Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis. - Xiaoyi Chen; Jing Zhou; Pengfei Ke; Jiayuan Huang; Dongsheng Xiong; Yuanyuan Huang; Guolin Ma; Yuping Ning; Fengchun Wu; Kai Wu 002 (Biomed. Signal Process. Control., 2023)

Evaluation of whole-brain oxygen metabolism in Alzheimer's disease using QSM and quantitative BOLD. - Aocai Yang; Hangwei Zhuang; Lei Du; Bing Liu; Kuan Lv; Jixin Luan; Pianpian Hu; Feng Chen; Kai Wu; Ni Shu; Amir Shmuel; Guolin Ma; et al. (NeuroImage, 2023)

CLIP and image integrative prompt for anterior mediastinal lesion segmentation in CT image. - Su Huang; Hongwei Yu; Danni Ai; Guolin Ma; Jian Yang 009 (BIBM, 2024)

DAU-Net: A Dense Attention U-Network for Space Target Attitude Estimation Based on ISAR Images. - Guolin Ma; Shaopeng Wei 001; Yejian Zhou (ICVISP, 2024)

Caln: Channel Attention LSTM Network for Pituitary Segmentation in Dynamic Contrast-Enhanced MRI. - Jingyi Liu; Zhaoze Sun; Qing Guo 008; Bing Liu; Tianyu Fu 003; Guolin Ma; Hong Song; Jian Yang 009 (ISBI, 2024)

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. - Yuetan Chu; Gongning Luo; Longxi Zhou; Shaodong Cao; Guolin Ma; Xianglin Meng; Juexiao Zhou; Changchun Yang; Dexuan Xie; Ricardo Henao; Xigang Xiao; Lianming Wu; et al. (CoRR, 2024)

Domain base dynamic convolution and distance map guidance for anterior mediastinal lesion segmentation. - Su Huang; Tianyu Fu 003; Xiaowei Han; Jingfan Fan; Hong Song; Deqiang Xiao; Guolin Ma; Jian Yang 009 (Knowl. Based Syst., 2024)

Associations of quantitative susceptibility mapping with cortical atrophy and brain connectome in Alzheimer's disease: A multi-parametric study. - Haojie Chen; Aocai Yang; Weijie Huang; Lei Du; Bing Liu; Kuan Lv; Jixin Luan; Pianpian Hu; Amir Shmuel; Ni Shu; Guolin Ma (NeuroImage, 2024)

Dysregulated neurofluid coupling as a new noninvasive biomarker for primary progressive aphasia. - Xinglin Zeng; Lin Hua; Guolin Ma; Zhiying Zhao; Zhen Yuan (NeuroImage, 2024)

A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation. - Xianqi Meng; Hongwei Yu; Jingfan Fan; Jinrong Mu; Huang Chen; Jixin Luan; Manxi Xu; Ying Gu; Guolin Ma; Jian Yang 009 (Biomed. Signal Process. Control., 2025)

Computer-aided diagnosis of pituitary microadenoma on dynamic contrast-enhanced MRI based on spatio-temporal features. - Te Guo 003; Jixin Luan; Jingyuan Gao; Bing Liu; Tianyu Shen; Hongwei Yu; Guolin Ma; Kunfeng Wang (Expert Syst. Appl., 2025)

RSTD: Residual Spatiotemporal Diffusion Model for the Dynamic Prediction of On-Orbit Spacecrafts From Spaceborne Image Sequences. - Yejian Zhou; Guolin Ma; Weifeng Li; Shaopeng Wei 001; Chengzeng Chen; Wen-An Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI. - Xiangyu Li 004; Yifan Liu; Manxi Xu; Hongwei Yu; Jixin Luan; Aocai Yang; Bing Liu; Amir Shmuel; Yuan Zhen; Gongning Luo; Wei Wang 169; Guolin Ma; et al. (Inf. Fusion, 2026)