Hongtu Zhu - Related publications

Columbia University, New York, NY 
Biostatistics Biology
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50 most relevant papers in past 60 days:
Year Citation  Score
2020 Mehdipour Ghazi M, Nielsen M, Pai A, Modat M, Jorge Cardoso M, Ourselin S, Sørensen L, . Robust parametric modeling of Alzheimer's disease progression. Neuroimage. 117460. PMID 33075562 DOI: 10.1016/j.neuroimage.2020.117460   
2020 Shamshoian J, Şentürk D, Jeste S, Telesca D. Bayesian analysis of longitudinal and multidimensional functional data. Biostatistics (Oxford, England). PMID 33017019 DOI: 10.1093/biostatistics/kxaa041   
2020 Sætra MJ, Solbrå AV, Devor A, Sakadžić S, Dale AM, Einevoll GT. Spatially resolved estimation of metabolic oxygen consumption from optical measurements in cortex. Neurophotonics. 7: 035005. PMID 32855994 DOI: 10.1117/1.NPh.7.3.035005   
2020 Mejia AF, Nebel MB, Wang Y, Caffo BS, Guo Y. Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors. Journal of the American Statistical Association. 115: 1151-1177. PMID 33060872 DOI: 10.1080/01621459.2019.1679638   
2020 Sørensen Ø, Brandmaier AM, Macià D, Ebmeier K, Ghisletta P, Kievit RA, Mowinckel AM, Walhovd KB, Westerhausen R, Fjell A. Meta-Analysis of Generalized Additive Models in Neuroimaging Studies. Neuroimage. 117416. PMID 33017652 DOI: 10.1016/j.neuroimage.2020.117416   
2020 Xiao L, Zhang A, Cai B, Stephen JM, Wilson TW, Calhoun VD, Wang YP. Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns from fMRI Data. Ieee Transactions On Bio-Medical Engineering. PMID 32894705 DOI: 10.1109/TBME.2020.3022335   
2020 Hong SJ, Xu T, Nikolaidis A, Smallwood J, Margulies DS, Bernhardt B, Vogelstein J, Milham MP. Toward a Connectivity Gradient-based Framework for Reproducible Biomarker Discovery. Neuroimage. 117322. PMID 32882388 DOI: 10.1016/j.neuroimage.2020.117322   
2020 Margaritella N, Inácio V, King R. Parameter clustering in Bayesian functional principal component analysis of neuroscientific data. Statistics in Medicine. PMID 33040367 DOI: 10.1002/sim.8768   
2020 Prince EW, Whelan R, Mirsky DM, Stence N, Staulcup S, Klimo P, Anderson RCE, Niazi TN, Grant G, Souweidane M, Johnston JM, Jackson EM, Limbrick DD, Smith A, Drapeau A, et al. Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images. Scientific Reports. 10: 16885. PMID 33037266 DOI: 10.1038/s41598-020-73278-8   
2020 Bertò G, Bullock D, Astolfi P, Hayashi S, Zigiotto L, Annicchiarico L, Corsini F, De Benedictis A, Sarubbo S, Pestilli F, Avesani P, Olivetti E. Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. Neuroimage. 224: 117402. PMID 32979520 DOI: 10.1016/j.neuroimage.2020.117402   
2020 Collins-Jones LH, Arichi T, Poppe T, Billing A, Xiao J, Fabrizi L, Brigadoi S, Hebden JC, Elwell CE, Cooper RJ. Construction and validation of a database of head models for functional imaging of the neonatal brain. Human Brain Mapping. PMID 33068482 DOI: 10.1002/hbm.25242   
2020 Kazeminejad A, Sotero RC. The Importance of Anti-correlations in Graph Theory Based Classification of Autism Spectrum Disorder. Frontiers in Neuroscience. 14: 676. PMID 32848533 DOI: 10.3389/fnins.2020.00676   
2020 Yuan A, Wu T, Fang HB, Tan MT. Integrative analysis with a system of semiparametric projection non-linear regression models. The International Journal of Biostatistics. PMID 32936783 DOI: 10.1515/ijb-2019-0124   
2020 Deslauriers-Gauthier S, Zucchelli M, Frigo M, Deriche R. A unified framework for multimodal structure-function mapping based on eigenmodes. Medical Image Analysis. 66: 101799. PMID 32889301 DOI: 10.1016/j.media.2020.101799   
2020 Vaden KI, Gebregziabher M, Dyslexia Data Consortium, Eckert MA. Fully synthetic neuroimaging data for replication and exploration. Neuroimage. 223: 117284. PMID 32828925 DOI: 10.1016/j.neuroimage.2020.117284   
2020 Westneat DF, Araya-Ajoy YG, Allegue H, Class B, Dingemanse N, Dochtermann N, Garamszegi LZ, Martin JGA, Nakagawa S, Réale D, Schielzeth H. Collision between biological process and statistical analysis revealed by mean-centering. The Journal of Animal Ecology. PMID 32997800 DOI: 10.1111/1365-2656.13360   
2020 Kappenberg F, Brecklinghaus T, Albrecht W, Blum J, van der Wurp C, Leist M, Hengstler JG, Rahnenführer J. Handling deviating control values in concentration-response curves. Archives of Toxicology. PMID 32965549 DOI: 10.1007/s00204-020-02913-0   
2020 Bresson G, Chaturvedi A, Rahman MA, . Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation. The International Journal of Biostatistics. PMID 32949454 DOI: 10.1515/ijb-2019-0120   
2020 Germuska M, Chandler H, Okell T, Fasano F, Tomassini V, Murphy K, Wise R. A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO). Frontiers in Artificial Intelligence. 3. PMID 32885165 DOI: 10.3389/frai.2020.00012   
2020 Berrocal VJ, Guan Y, Muyskens A, Wang H, Reich BJ, Mulholland JA, Chang HH. A comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration. Atmospheric Environment (Oxford, England : 1994). 222. PMID 32863727 DOI: 10.1016/j.atmosenv.2019.117130   
2020 Peralta Y, Kohli N, Lock EF, Davison ML. Bayesian modeling of associations in bivariate piecewise linear mixed-effects models. Psychological Methods. PMID 33030911 DOI: 10.1037/met0000358   
2020 Williamson BD, Gilbert PB, Carone M, Simon N. Nonparametric variable importance assessment using machine learning techniques. Biometrics. PMID 33043428 DOI: 10.1111/biom.13392   
2020 Lin YQ, Zhang YS, Tian GL, Ma CX. Fast QLB algorithm and hypothesis tests in logistic model for ophthalmologic bilateral correlated data. Journal of Biopharmaceutical Statistics. 1-17. PMID 33001745 DOI: 10.1080/10543406.2020.1814794   
2020 Song C, Peacor SD, Osenberg CW, Bence JR. An assessment of statistical methods for non-independent data in ecological meta-analyses. Ecology. e03184. PMID 32893349 DOI: 10.1002/ecy.3184   
2020 Afzali M, Pieciak T, Newman S, Garifallidis E, Özarslan E, Cheng H, Jones DK. The sensitivity of diffusion MRI to microstructural properties and experimental factors. Journal of Neuroscience Methods. 108951. PMID 33017644 DOI: 10.1016/j.jneumeth.2020.108951   
2020 Stevens NT, Lu L. Comparing Kaplan-Meier curves with the probability of agreement. Statistics in Medicine. PMID 32969528 DOI: 10.1002/sim.8744   
2020 Wang Q, Artières T, Takerkart S. Inter-subject pattern analysis for multivariate group analysis of functional neuroimaging. A unifying formalization. Computer Methods and Programs in Biomedicine. 197: 105730. PMID 32987228 DOI: 10.1016/j.cmpb.2020.105730   
2020 Hett K, Ta VT, Oguz I, Manjón JV, Coupé P, . Multi-scale graph-based grading for Alzheimer's disease prediction. Medical Image Analysis. 67: 101850. PMID 33075641 DOI: 10.1016/j.media.2020.101850   
2020 Ansart M, Epelbaum S, Bassignana G, Bône A, Bottani S, Cattai T, Couronné R, Faouzi J, Koval I, Louis M, Thibeau-Sutre E, Wen J, Wild A, Burgos N, Dormont D, et al. Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Analysis. 67: 101848. PMID 33091740 DOI: 10.1016/j.media.2020.101848   
2020 Mikelson J, Khammash M. Likelihood-free nested sampling for parameter inference of biochemical reaction networks. Plos Computational Biology. 16: e1008264. PMID 33035218 DOI: 10.1371/journal.pcbi.1008264   
2020 Dimitri GM, Spasov S, Duggento A, Passamonti L, Lio' P, Toschi N. Unsupervised stratification in neuroimaging through deep latent embeddings. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1568-1571. PMID 33018292 DOI: 10.1109/EMBC44109.2020.9175810   
2020 Zhai X, Santosa H, Huppert TJ. Using anatomically defined regions-of-interest to adjust for head-size and probe alignment in functional near-infrared spectroscopy. Neurophotonics. 7: 035008. PMID 32995360 DOI: 10.1117/1.NPh.7.3.035008   
2020 de Azevedo GB, Tomiazzi HV, Azevedo GTOS, Teodoro LPR, Teodoro PE, de Souza MTP, Batista TS, de Jesus Eufrade-Junior H, Guerra SPS. Multi-volume modeling of Eucalyptus trees using regression and artificial neural networks. Plos One. 15: e0238703. PMID 32915871 DOI: 10.1371/journal.pone.0238703   
2020 Nam JH, Kim D, Chung D. Sparse Linear Discriminant Analysis using the Prior-Knowledge-Guided Block Covariance Matrix. Chemometrics and Intelligent Laboratory Systems : An International Journal Sponsored by the Chemometrics Society. 206. PMID 32968333 DOI: 10.1016/j.chemolab.2020.104142   
2020 Sweeney EM, Nguyen TD, Kuceyeski A, Ryan SM, Zhang S, Zexter L, Wang Y, Gauthier SA. Estimation of Multiple Sclerosis Lesion Age on Magnetic Resonance Imaging. Neuroimage. 117451. PMID 33069865 DOI: 10.1016/j.neuroimage.2020.117451   
2020 Allegra M, Facco E, Denti F, Laio A, Mira A. Data segmentation based on the local intrinsic dimension. Scientific Reports. 10: 16449. PMID 33020515 DOI: 10.1038/s41598-020-72222-0   
2020 Hamiye Beyaztas B, Bandyopadhyay S. Robust estimation for linear panel data models. Statistics in Medicine. PMID 32901960 DOI: 10.1002/sim.8732   
2020 Finch WH, Miller JE. A Comparison of Regularized Maximum-Likelihood, Regularized 2-Stage Least Squares, and Maximum-Likelihood Estimation with Misspecified Models, Small Samples, and Weak Factor Structure. Multivariate Behavioral Research. 1-19. PMID 32324059 DOI: 10.1080/00273171.2020.1753005   
2020 Wang P, Li D, Sun J. A pairwise Pseudo-likelihood approach for left-truncated and interval-censored data under the cox model. Biometrics. PMID 33058180 DOI: 10.1111/biom.13394   
2020 Schulz MA, Yeo BTT, Vogelstein JT, Mourao-Miranada J, Kather JN, Kording K, Richards B, Bzdok D. Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets. Nature Communications. 11: 4238. PMID 32843633 DOI: 10.1038/s41467-020-18037-z   
2020 Zhou T, Ji Y. Semiparametric Bayesian inference for the transmission dynamics of COVID-19 with a state-space model. Contemporary Clinical Trials. 97: 106146. PMID 32947047 DOI: 10.1016/j.cct.2020.106146   
2020 Zhang L, DiLernia A, Quevedo K, Camchong J, Lim K, Pan W. A random covariance model for bi-level graphical modeling with application to resting-state fMRI data. Biometrics. PMID 32865813 DOI: 10.1111/biom.13364   
2020 Akbari A, Awais M, Feng Z, Farooq A, Kittler J. Distribution Cognisant Loss for Cross-Database Facial Age Estimation with Sensitivity Analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33026982 DOI: 10.1109/TPAMI.2020.3029486   
2020 Tong X, Zhang T, Zhou J. Robust Bayesian growth curve modelling using conditional medians. The British Journal of Mathematical and Statistical Psychology. PMID 32926414 DOI: 10.1111/bmsp.12216   
2020 Petrović N, Moyà-Alcover G, Jaume-I-Capó A, González-Hidalgo M. Sickle-cell disease diagnosis support selecting the most appropriate machine learning method: Towards a general and interpretable approach for cell morphology analysis from microscopy images. Computers in Biology and Medicine. 126: 104027. PMID 33075715 DOI: 10.1016/j.compbiomed.2020.104027   
2020 Xu Z, Sinha D, Bradley JR. Joint analysis of recurrence and termination: A Bayesian latent class approach. Statistical Methods in Medical Research. 962280220962522. PMID 33050774 DOI: 10.1177/0962280220962522   
2020 Brunner J, Chia N. Confidence in the dynamic spread of epidemics under biased sampling conditions. Peerj. 8: e9758. PMID 32864224 DOI: 10.7717/peerj.9758   
2020 Herrmann M, Probst P, Hornung R, Jurinovic V, Boulesteix AL. Large-scale benchmark study of survival prediction methods using multi-omics data. Briefings in Bioinformatics. PMID 32823283 DOI: 10.1093/bib/bbaa167   
2020 Ding M, Chavarro JE, Fitzmaurice GM. Development of a mixture model allowing for smoothing functions of longitudinal trajectories. Statistical Methods in Medical Research. 962280220966019. PMID 33106119 DOI: 10.1177/0962280220966019   
2020 Nori VS, Hane CA, Sun Y, Crown WH, Bleicher PA. Deep neural network models for identifying incident dementia using claims and EHR datasets. Plos One. 15: e0236400. PMID 32970677 DOI: 10.1371/journal.pone.0236400