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2022
[1] Sheng-Che Hung*, 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, 2022, DOI: 10.1007/978-3-030-82367-2_9. [pdf]
[2] 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, 2022.
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]
2016
[1] Mingxia Liu, Rui Min, Yue Gao, Daoqiang Zhang, Dinggang Shen. Multi-template based Multi-view Learning for Alzheimer’s Disease Diagnosis. Machine Learning in Medical Imaging, 259-293, Elsevier, ISBN: 978-0-12-804076-8, 2016. [pdf]
