[1] Erkun Yang, Mingxia Liu. Deep Asymptotic Quantization for Neuroimage Search. 2021 OHBM Annual Meeting, 2021.

[2]  Dongren Yao, Nan Wang, Lizhuang Ma, Mingxia Liu. Multi-Site Clustering and Nested Feature Extraction for Identifying Autism Spectrum Disorder with Resting-State fMRI. 2021 OHBM Annual Meeting, 2021.

[3] Yue Sun, Kun Gao, Shihui Ying, Weili Lin, Kathryn L. Humphreys, Gang Li, Sijie Niu, Mingxia Liu, Li Wang. Self-Supervised Transfer Learning for Infant Cerebellum Segmentation with Multi-Domain MRIs. 2021 ISMRM & SMRT Annual Meeting & Exhibition, 15-20 May 2021, Vancouver, BC, Canada, 2021.

[4] SR Walton, JR Powell, W Yin, BL Brett, W Lin, AS Nencka, Mingxia Liu, H Guan, MA McCrea, KM Guskiewicz, KS Giovanello. Exploring Associations between Resting State Functional Connectivity and Concussion History in Relatively Young Former Collegiate American Football Players. 2021 Society for Neuroscience – Neuroscience, Virtual Conference, November 2021.


[1] Ling Yue, Yongsheng Pan, Tao Wang, Mingxia Liu, Dinggang Shen, Shifu Xiao. Characterizing MRI Biomarkers for Early Prediction of Amnestic Mild Cognitive Impairment among the Community Dwelling Chinese. 2020 Alzheimer’s Association International Conference, 16, e041450, 2020.


[1] Yongsheng Pan, Mingxia Liu, Chunfeng Lian,  Ling Yue, Shifu Xiao, Yong Xia, Dinggang Shen. Characterizing MRI Biomarkers for Conversion Prediction of Preclinical Mild Cognitive Impairment27th ISMRM, Montreal, QC, Canada, May 11-16, 2019.

[2] Aimei Dong, Mingliang Wang, Mingxia Liu, Dinggang Shen. High-order Laplacian Regularized Low-rank Representation for Brain Disease Diagnosis, OHBM, Rome, Italy, June 9-13, 2019.

[3] Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen. Context­ Guided Deep Learning Framework for Skull StrippingThe 104th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA2018), Chicago, USA, Nov. 25-30, 2018. (Oral Presentation)


[1] Chunfeng Lian, Mingxia Liu, Jun Zhang, Xiaopeng Zong, Weili Lin, Dinggang Shen. Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional NetworkJoint Annual Meeting ISMRM-ESMRMB, Paris, France, Jun. 16-21, 2018.  (Power Pitch)


[1] Jun Zhang, Mingxia Liu, Dinggang Shen. Real-time Large-scale Anatomical Landmark Detection with Limited Medical ImagesInternational Society for Magnetic Resonance in Medicine (ISMRM) 25th Annual Meeting and Exhibition, Honolulu, Hawaii, USA, 2017.