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Guolin Ma
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2020 – today
- 2025
- [j12]Te Guo, Jixin Luan, Jingyuan Gao, Bing Liu, Tianyu Shen, Hongwei Yu, Guolin Ma, Kunfeng Wang:
Computer-aided diagnosis of pituitary microadenoma on dynamic contrast-enhanced MRI based on spatio-temporal features. Expert Syst. Appl. 260: 125414 (2025) - 2024
- [j11]Su Huang, Tianyu Fu, Xiaowei Han, Jingfan Fan, Hong Song, Deqiang Xiao, Guolin Ma, Jian Yang:
Domain base dynamic convolution and distance map guidance for anterior mediastinal lesion segmentation. Knowl. Based Syst. 296: 111881 (2024) - [j10]Haojie Chen, Aocai Yang, Weijie Huang, Lei Du, Bing Liu, Kuan Lv, Jixin Luan, Pianpian Hu, Amir Shmuel, Ni Shu, Guolin Ma:
Associations of quantitative susceptibility mapping with cortical atrophy and brain connectome in Alzheimer's disease: A multi-parametric study. NeuroImage 290: 120555 (2024) - [c3]Jingyi Liu, Zhaoze Sun, Qing Guo, Bing Liu, Tianyu Fu, Guolin Ma, Hong Song, Jian Yang:
Caln: Channel Attention LSTM Network for Pituitary Segmentation in Dynamic Contrast-Enhanced MRI. ISBI 2024: 1-5 - [i1]Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao:
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. CoRR abs/2404.07671 (2024) - 2023
- [j9]Xiaoyi Chen, Jing Zhou, Pengfei Ke, Jiayuan Huang, Dongsheng Xiong, Yuanyuan Huang, Guolin Ma, Yuping Ning, Fengchun Wu, Kai Wu:
Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis. Biomed. Signal Process. Control. 80(Part): 104293 (2023) - [j8]Aocai Yang, Hangwei Zhuang, Lei Du, Bing Liu, Kuan Lv, Jixin Luan, Pianpian Hu, Feng Chen, Kai Wu, Ni Shu, Amir Shmuel, Guolin Ma, Yi Wang:
Evaluation of whole-brain oxygen metabolism in Alzheimer's disease using QSM and quantitative BOLD. NeuroImage 282: 120381 (2023) - [c2]Yongtao Zhang, Ning Yuan, Bing Liu, Aocai Yang, Hongwei Yu, Kuan Lv, Jixin Luan, Pianpian Hu, Haijun Lei, Tianfu Wang, Guolin Ma, Baiying Lei:
USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation. EMBC 2023: 1-4 - 2022
- [j7]Zhongwei Huang, Haijun Lei, Guoliang Chen, Haimei Li, Chuandong Li, Wenwen Gao, Yue Chen, Yaofa Wang, Haibo Xu, Guolin Ma, Baiying Lei:
Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. Appl. Soft Comput. 115: 108088 (2022) - [j6]Xianqi Meng, Jingfan Fan, Hongwei Yu, Jinrong Mu, Zongyu Li, Aocai Yang, Bing Liu, Kuan Lv, Danni Ai, Yucong Lin, Hong Song, Tianyu Fu, Deqiang Xiao, Guolin Ma, Jian Yang, Ying Gu:
Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations. Knowl. Based Syst. 258: 109988 (2022) - [j5]Yongtao Zhang, Ning Yuan, Zhiguo Zhang, Jie Du, Tianfu Wang, Bing Liu, Aocai Yang, Kuan Lv, Guolin Ma, Baiying Lei:
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. Medical Image Anal. 79: 102467 (2022) - 2021
- [j4]Si Ran, Jianli Ding, Bohua Liu, Xiangyu Ge, Guolin Ma:
Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation. Sensors 21(5): 1794 (2021) - [j3]Xuegang Song, Haimei Li, Wenwen Gao, Yue Chen, Tianfu Wang, Guolin Ma, Baiying Lei:
Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis. IEEE Trans. Ind. Informatics 17(9): 6499-6509 (2021) - [j2]Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40(6): 1618-1631 (2021) - 2020
- [c1]Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma:
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. ISBI 2020: 1-4
2010 – 2019
- 2014
- [j1]Jiang Du, Guolin Ma, Shihong Li, Michael Carl, Nikolaus M. Szeverenyi, Scott VandenBerg, Jody Corey-Bloom, Graeme M. Bydder:
Ultrashort echo time (UTE) magnetic resonance imaging of the short T2 components in white matter of the brain using a clinical 3T scanner. NeuroImage 87: 32-41 (2014)
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