Ph.D., University of California, Los Angeles, 2011
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Tang, H., Ma, G., Guo, L., Fu, X., Huang, H., & Zhan, L. (2024). Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans Neural Netw Learn Syst, 35(6), 7363-7375.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNNLS.2022.3220220.
Banihashemi, L., Lv, J., Wu, M., & Zhan, L. (2023). Editorial: Current advances in multimodal human brain imaging and analysis across the lifespan: From mapping to state prediction. Front Neurosci, 17, 1153035.Frontiers. doi: 10.3389/fnins.2023.1153035.
Cherloo, M.N., Mijani, A.M., Zhan, L., & Daliri, M.R. (2023). A novel multiclass-based framework for P300 detection in BCI matrix speller: Temporal EEG patterns of non-target trials vary based on their position to previous target stimuli. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 123, 106381.Elsevier. doi: 10.1016/j.engappai.2023.106381.
Cui, H., Dai, W., Zhu, Y., Kan, X., Gu, A.A.C., Lukemire, J., Zhan, L., He, L., Guo, Y., & Yang, C. (2023). BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans Med Imaging, 42(2), 493-506.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2022.3218745.
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Jia, H., Tang, H., Ma, G., Cai, W., Huang, H., Zhan, L., & Xia, Y. (2023). A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput Biol Med, 155, 106698.Elsevier. doi: 10.1016/j.compbiomed.2023.106698.
Manos, T., Diaz-Pier, S., Fortel, I., Driscoll, I., Zhan, L., & Leow, A. (2023). Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes. Front Comput Neurosci, 17, 1295395.Frontiers. doi: 10.3389/fncom.2023.1295395.
Mijani, A., Cherloo, M.N., Tang, H., & Zhan, L. (2023). Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI. Comput Biol Med, 166, 107488.Elsevier. doi: 10.1016/j.compbiomed.2023.107488.
Shirkavand, R., Zhan, L., Huang, H., Shen, L., & Thompson, P.M. (2023). Incomplete Multimodal Learning for Complex Brain Disorders Prediction.
Tang, H., Guo, L., Fu, X., Wang, Y., Mackin, S., Ajilore, O., Leow, A.D., Thompson, P.M., Huang, H., & Zhan, L. (2023). Signed graph representation learning for functional-to-structural brain network mapping. Med Image Anal, 83, 102674.Elsevier. doi: 10.1016/j.media.2022.102674.
Tang, H., Ma, G., Zhang, Y., Ye, K., Guo, L., Liu, G., Huang, Q., Wang, Y., Ajilore, O., Leow, A.D., Thompson, P.M., Huang, H., & Zhan, L. (2023). A comprehensive survey of complex brain network representation. Meta Radiol, 1(3), 100046.Elsevier. doi: 10.1016/j.metrad.2023.100046.
Boots, E.A., Zhan, L., Castellanos, K.J., Barnes, L.L., Tussing-Humphreys, L., & Lamar, M. (2022). Inflammatory markers and tract-based structural connectomics in older adults with a preliminary exploration of associations by race. Brain Imaging Behav, 16(1), 130-140.Springer Nature. doi: 10.1007/s11682-021-00483-y.
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Fu, X., Sun, Z., Tang, H., Zou, E.M., Huang, H., Wang, Y., & Zhan, L. (2022). 3D bi-directional transformer U-Net for medical image segmentation. Front Big Data, 5, 1080715.Frontiers. doi: 10.3389/fdata.2022.1080715.
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Tang, H., Fu, X., Guo, L., Wang, Y., Mackin, S., Ajilore, O., Leow, A., Thompson, P., Huang, H., & Zhan, L. (2022). Functional2Structural: Cross-Modality Brain Networks Representation Learning.
Tang, H., Guo, L., Fu, X., Qu, B., Ajilore, O., Wang, Y., Thompson, P.M., Huang, H., Leow, A.D., & Zhan, L. (2022). A Hierarchical Graph Learning Model for Brain Network Regression Analysis. Front Neurosci, 16, 963082.Frontiers. doi: 10.3389/fnins.2022.963082.
Tang, H., Guo, L., Fu, X., Qu, B., Thompson, P.M., Huang, H., & Zhan, L. (2022). HIERARCHICAL BRAIN EMBEDDING USING EXPLAINABLE GRAPH LEARNING. Proc IEEE Int Symp Biomed Imaging, 2022, 1-5.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isbi52829.2022.9761543.
Yu, J., Kong, Z., Zhan, L., Shen, L., & He, L. (2022). Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. Comput Sci Inf Technol, 12(18), 123-134.Academy and Industry Research Collaboration Center (AIRCC). doi: 10.5121/csit.2022.121812.
Morrissey, Z.D., Zhan, L., Ajilore, O., & Leow, A.D. (2021). rest2vec: Vectorizing the resting-state functional connectome using graph embedding. Neuroimage, 226, 117538.Elsevier. doi: 10.1016/j.neuroimage.2020.117538.
Tang, H., Jia, H., Cai, W., Huang, H., Xia, Y., & Zhan, L. (2021). Boundary-aware Graph Reasoning for Semantic Segmentation.
Tang, H., Ma, G., He, L., Huang, H., & Zhan, L. (2021). CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Netw, 143, 669-677.Elsevier. doi: 10.1016/j.neunet.2021.07.028.
Boots, E.A., Castellanos, K.J., Zhan, L., Barnes, L.L., Tussing-Humphreys, L., Deoni, S.C.L., & Lamar, M. (2020). Inflammation, Cognition, and White Matter in Older Adults: An Examination by Race. Front Aging Neurosci, 12, 553998.Frontiers. doi: 10.3389/fnagi.2020.553998.
Fortel, I., Korthauer, L.E., Morrissey, Z., Zhan, L., Ajilore, O., Wolfson, O., Driscoll, I., Schonfeld, D., & Leow, A. (2020). Connectome Signatures of Hyperexcitation in Cognitively Intact Middle-Aged Female APOE-ε4 Carriers. Cereb Cortex, 30(12), 6350-6362.Oxford University Press (OUP). doi: 10.1093/cercor/bhaa190.
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Smagula, S.F., Stahl, S.T., Santini, T., Banihashemi, L., Hall, M.H., Ibrahim, T.S., Reynolds, C.F., Krafty, R.T., Aizenstein, H.J., & Zhan, L. (2020). White Matter Integrity Underlying Depressive Symptoms in Dementia Caregivers. Am J Geriatr Psychiatry, 28(5), 578-582.Elsevier. doi: 10.1016/j.jagp.2019.11.010.
Tang, H., Ma, G., Chen, Y., Guo, L., Wang, W., Zeng, B., & Zhan, L. (2020). Adversarial Attack on Hierarchical Graph Pooling Neural Networks.
Wei, L., Zhan, L., Cao, J., & Wang, W. (2020). Improving the energy resolution of the reactor antineutrino energy reconstruction with positron direction. Radiation Detection Technology and Methods, 4(3), 356-361.Springer Nature. doi: 10.1007/s41605-020-00191-z.
Zhan, L., Le, Q., Feng, Z., Lou, Y., & Li, H. (2020). Microstructures and Mechanical Properties of Mg-4.5Gd- 2.6Nd-0.5Zn-0.5Zr New Casting Alloy. Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering, 49(8), 2644-2648.
Zhan, L., Le, Q.C., Feng, Z.J., Yue, Y., & Ma, Y.B. (2020). Microstructure and Mechanical Properties of Mg-2.6Nd-1.5Gd-0.5Zn- 0.5Zr Casting Magnesium Alloy. Zhuzao/Foundry, 69(12), 1298-1303.
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Karstens, A.J., Tussing-Humphreys, L., Zhan, L., Rajendran, N., Cohen, J., Dion, C., Zhou, X.J., & Lamar, M. (2019). Associations of the Mediterranean diet with cognitive and neuroimaging phenotypes of dementia in healthy older adults. Am J Clin Nutr, 109(2), 361-368.Elsevier. doi: 10.1093/ajcn/nqy275.
Peven, J.C., Chen, Y., Guo, L., Zhan, L., Boots, E.A., Dion, C., Libon, D.J., Heilman, K.M., & Lamar, M. (2019). The oblique effect: The relationship between profiles of visuospatial preference, cognition, and brain connectomics in older adults. Neuropsychologia, 135, 107236.Elsevier. doi: 10.1016/j.neuropsychologia.2019.107236.
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Korthauer, L.E., Zhan, L., Ajilore, O., Leow, A., & Driscoll, I. (2018). Disrupted topology of the resting state structural connectome in middle-aged APOE ε4 carriers. Neuroimage, 178, 295-305.Elsevier. doi: 10.1016/j.neuroimage.2018.05.052.
Wang, Q., Guo, L., Thompson, P.M., Jack, C.R., Dodge, H., Zhan, L., Zhou, J., & Alzheimer’s Disease Neuroimaging Initiative and National Alzheimer’s Coordinating Center. (2018). The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. In Zhang, Y. (Ed.). J Alzheimers Dis, 64(1), 149-169.SAGE Publications. doi: 10.3233/JAD-171048.
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