| Changes of functional and effective connectivity in smoking replenishment on deprived heavy smokers: a resting-state FMRI study X Ding, SW Lee PloS one 8 (3), e59331, 2013 | 94 | 2013 |
| Nicotine abstinence influences the calculation of salience in discrete insular circuits JR Fedota, X Ding, AL Matous, BJ Salmeron, MR McKenna, H Gu, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (2), 150-159, 2018 | 56 | 2018 |
| Multivariate classification of smokers and nonsmokers using SVM‐RFE on structural MRI images X Ding, Y Yang, EA Stein, TJ Ross Human Brain Mapping 36 (12), 4869-4879, 2015 | 53 | 2015 |
| Cocaine addiction related reproducible brain regions of abnormal default-mode network functional connectivity: a group ICA study with different model orders X Ding, SW Lee Neuroscience Letters 548, 110-114, 2013 | 46 | 2013 |
| Combining multiple resting-state fMRI features during classification: optimized frameworks and their application to nicotine addiction X Ding, Y Yang, EA Stein, TJ Ross Frontiers in human neuroscience 11, 362, 2017 | 29 | 2017 |
| Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy JL Lillvis, H Otsuna, X Ding, I Pisarev, T Kawase, J Colonell, K Rokicki, ... Elife 11, e81248, 2022 | 24 | 2022 |
| Addiction: Informing drug abuse interventions with brain networks VR Steele, X Ding, TJ Ross Connectomics, 101-122, 2019 | 18 | 2019 |
| Performance evaluation of nonnegative matrix factorization algorithms to estimate task-related neuronal activities from fMRI data X Ding, JH Lee, SW Lee Magnetic resonance imaging 31 (3), 466-476, 2013 | 13 | 2013 |
| A constrained alternating least squares nonnegative matrix factorization algorithm enhances task-related neuronal activity detection from single subject's fMRI data X Ding, JH Lee, SW Lee 2011 International Conference on Machine Learning and Cybernetics 1, 338-343, 2011 | 9 | 2011 |
| Evidence of subgroups in smokers as revealed in clinical measures and evaluated by neuroimaging data: a preliminary study X Ding, BJ Salmeron, J Wang, Y Yang, EA Stein, TJ Ross Addiction Biology 24 (4), 777-786, 2019 | 7 | 2019 |
| Real-time face detection with self-adaptive cost-sensitive AdaBoost X Ding, Z Ma 2008 3rd IEEE Conference on Industrial Electronics and Applications, 1980-1982, 2008 | 2 | 2008 |
| Big Data Era in Magnetic Resonance Imaging of the Human Brain X Ding, EC Caparelli, TJ Ross Signal Processing and Machine Learning for Biomedical Big Data, 2018 | 1 | 2018 |
| Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization X Ding, JH Lee, SW Lee 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | 1 | 2012 |
| Nicotine Abstinence Modulates Dynamic Functional Connectivity Across the Brain in Smokers J Fedota, T Ross, T Chen, X Ding, M McKenna, A Matous, BJ Salmeron, ... NEUROPSYCHOPHARMACOLOGY 43, S207-S208, 2018 | | 2018 |
| Subgroups of Smokers Derived From Broad Based Characterization of Cognitive and Affective Function and Personal History BJ Salmeron, X Ding, T Ross, E Stein NEUROPSYCHOPHARMACOLOGY 42, S268-S269, 2017 | | 2017 |
| Detecting Active Brain Regions by a Constrained Alternating Least Squares Nonnegative Matrix Factorization Algorithm from Single Subject's fMRI Data X Ding, JH Lee, SW Lee 한국정보과학회 학술발표논문집 38 (1C), 393-396, 2011 | | 2011 |
| 基于球面调和函数的 3-D 人脸识别方法 丁晓宇， 邓娜， 马争鸣 数据采集与处理, 632-637, 2009 | | 2009 |
Thomas J RossNational Institute on Drug AbuseVerified email at mail.nih.gov