Book & Book Chapter

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2021

[1] Daoqiang Zhang, Mingxia Liu, Wei Shao, Jiashuang Huang, Mingliang Wang, Liang Sun, Meiling Wang. Machine Learning, APA Handbook of Neuropsychology, APA Publishing, American Psychological Association, 2021.

[2] Sheng-Che Huang*, Mingxia Liu*, Pew-Thian Yap, Dinggang Shen, Weili Lin, Mauricio Castillo. Future Trends of PET/MR and Utility of AI in Multi-Modal Imaging, Hybrid PET/MR Neuroimaging – A Comprehensive Approach. Springer, 2021, DOI: 10.1007/978-3-030-82367-2_9.

2020

[1] Mingxia Liu, Chunfeng Lian, Dinggang Shen. Anatomical-Landmark-based Deep Learning for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging, Deep Learning in Healthcare, Springer, ISBN: 978-3-030-32606-7, 2020. [pdf]

[2] Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao. Machine Learning in Medical Imaging, Lecture Notes, Lecture Notes in Computer Science (LNCS)volume 12436, Proceedings of MLMI 2020, Springer, ISBN: 978-3-030-59860-0, 2020.

[3] Dinggang Shen, Luping Zhou, Mingxia Liu. Deep Learning Models with Applications to Brain Image Analysis. Neural Engineering, Springer, 433-462, 2020.

[4] Jun Zhang, Mingxia Liu, Li Wang, Chunfeng Lian, Dinggang Shen. Machine Learning for Craniomaxillofacial Landmark Digitization of 3D Imaging. Machine Learning in Dentistry. Springer. 2020.

[5] Daoqiang Zhang, Mingxia Liu, Wei Shao, Jiashuang Huang, Mingliang Wang, Liang Sun, Meiling Wang. Future Trends of PET/MR and Utility of AI in Multi-modal Imaging, Machine Learning, American Psychological Association Handbook of Neuropsychology, American Psychological Association Publication, 2020.

2019

[1] Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian. Machine Learning in Medical Imaging, Lecture Notes in Computer Science (LNCS)volume 11046, Proceedings of MLMI 2019, Springer, ISBN: 978-3-030-32692-0, 2019.

[2] Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu. Graph Learning in Medical Imaging, Lecture Notes in Computer Science (LNCS)volume 11046, Proceedings of GLMI 2019, Springer, 2019.

2018

[1] Yinghuan Shi, Heung-Il Suk, Mingxia Liu. Machine Learning in Medical Imaging, Lecture Notes in Computer Science (LNCS)volume 11046, Proceedings of MLMI 2018, Springer, ISBN: 978-3-030-00919-9, 2018. [pdf]

2026

[1] Mingxia Liu, Rui Min, Yue Gao, Daoqiang Zhang, Dinggang Shen. Multi-template based Multi-view Learning for Alzheimer’s Disease DiagnosisMachine Learning in Medical Imaging, 259-293, Elsevier, ISBN: 978-0-12-804076-8, 2016. [pdf]