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Xiao Zhou
Xiao Zhou
Verified email at bu.edu
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Cited by
Cited by
Year
Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification
S Qiu, PS Joshi, MI Miller, C Xue, X Zhou, C Karjadi, GH Chang, AS Joshi, ...
Brain 143 (6), 1920-1933, 2020
3952020
Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning
X Zhou, S Qiu, PS Joshi, C Xue, RJ Killiany, AZ Mian, SP Chin, R Au, ...
Alzheimer's research & therapy 13 (1), 1-11, 2021
752021
Single-cell genomics and regulatory networks for 388 human brains
PS Emani, JJ Liu, D Clarke, M Jensen, J Warrell, C Gupta, R Meng, ...
Science 384 (6698), eadi5199, 2024
342024
Application of seq2seq models on code correction
S Huang, X Zhou, S Chin
Frontiers in artificial intelligence 4, 590215, 2021
192021
Mixed spatio-temporal neural networks on real-time prediction of crimes
X Zhou, X Wang, G Brown, C Wang, P Chin
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
62021
Deep learning for risk-based stratification of cognitively impaired individuals
MF Romano, X Zhou, AR Balachandra, MF Jadick, S Qiu, DA Nijhawan, ...
iScience 26 (9), 2023
52023
Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning
X Zhou, S Qiu, PS Joshi, C Xue, RJ Killiany, A Mian, SP Chin, R Au, ...
medRxiv, 2020.07. 22.20159814, 2020
42020
Domain specific inpainting with concurrently pretrained generative adversarial networks
X Zhou, C Wang, Y Xu, X Wang, P Chin
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
42017
Deep learning-driven risk-based subtyping of cognitively impaired individuals
MF Romano, X Zhou, AR Balachandra, MF Jadick, S Qiu, DA Nijhawan, ...
medRxiv, 2021.12. 08.21267495, 2021
22021
Learning in Parrondo’s Paradox
X Zhou, X Wang, P Chin
THE 29TH INTERNATIONAL CONFERENCE ON GAME THEORY, 2018
22018
Adversarial learning for MRI reconstruction and classification of cognitively impaired individuals
X Zhou, AR Balachandra, MF Romano, SP Chin, R Au, VB Kolachalama
IEEE Access, 2024
12024
Deep learning analysis of fMRI data for predicting Alzheimer’s Disease: A focus on convolutional neural networks and model interpretability
X Zhou, S Kedia, R Meng, M Gerstein
Plos one 19 (12), e0312848, 2024
2024
Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals (P1-9.008)
A Balachandra, X Zhou, M Romano, V Kolachalama
Neurology 102 (17_supplement_1), 2895, 2024
2024
Network-based drug repurposing for psychiatric disorders using single-cell genomics
C Gupta, N Cohen Kalafut, D Clarke, J Choi, KH Arachchilage, S Khullar, ...
medRxiv, 2024.12. 01.24318008, 2024
2024
Non-competitive and competitive deep learning for imaging applications
X Zhou
Boston University, 2022
2022
Comparative analysis of cerebrospinal fluid markers and multimodal imaging in predicting Alzheimer’s disease progression
MF Romano, A Balachandra, X Zhou, M Jadick, S Qiu, D Nijhawan, ...
Alzheimer's & Dementia 17, e054457, 2021
2021
Application of seq2seq models on code correction
S Chin, S Huang, X Zhou
2020
A Deep Learning Framework for Risk-Based Stratification of Cognitively Impaired Individuals
MF Romano, X Zhou, AR Balachandra, M Jadick, S Qiu, D Nijhawan, ...
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