Armin Schwartzman

Title(s)Professor, Family Medicine and Public Health
SchoolHealth Sciences, Biostatistics and Halicioglu Data Science Institute
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    Collapse Biography 
    Collapse Education and Training
    Stanford UniversityPhD2006Statistics
    California Institute of TechnologyMSc1996Electrical Engineering
    Technion - Israel Institute of TechnologyBSc1995Electrical Engineering

    Collapse Overview 
    Collapse Overview
    Dr. Schwartzman's research involves development of statistical methods for signal and image analysis, with biomedical and environmental applications.

    Collapse Research 
    Collapse Research Activities and Funding
    Spatial inference methods for image analysis
    NIH/NIBIB R01EB026859May 15, 2019 - Jan 31, 2023
    Role: Principal Investigator
    Voxelwise analysis of imaging response to therapy in neuro-oncology
    NIH/NIBIB R21EB013795Sep 30, 2012 - Aug 31, 2014
    Role: Principal Investigator
    Multiple testing methods for random fields and high-dimensional dependent data
    NIH/NCI R01CA157528Jun 3, 2012 - Mar 31, 2018
    Role: Principal Investigator

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    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Hasenstab KA, Cunha GM, Higaki A, Ichikawa S, Wang K, Delgado T, Brunsing RL, Schlein A, Bittencourt LK, Schwartzman A, Fowler KJ, Hsiao A, Sirlin CB. Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. Eur Radiol Exp. 2019 Oct 26; 3(1):43. PMID: 31655943.
      View in: PubMed
    2. Bowring A, Telschow F, Schwartzman A, Nichols TE. Spatial confidence sets for raw effect size images. Neuroimage. 2019 Dec; 203:116187. PMID: 31533067.
      View in: PubMed
    3. Cheng D, Schwartzman A. MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN RANDOM FIELDS. Ann Stat. 2017 Apr; 45(2):529-556. PMID: 31527989.
      View in: PubMed
    4. Schwartzman A, Telschow F. Peak p-values and false discovery rate inference in neuroimaging. Neuroimage. 2019 08 15; 197:402-413. PMID: 31028923.
      View in: PubMed
    5. Cheng D, Schwartzman A. Expected Number and Height Distribution of Critical Points of Smooth Isotropic Gaussian Random Fields. Bernoulli (Andover). 2018 Nov; 24(4B):3422-3446. PMID: 31511762.
      View in: PubMed
    6. Cheng D, Schwartzman A.. Expected Number and Height Distribution of Critical Points of Smooth Isotropic Gaussian Random Fields. Bernoulli. 2018; 4B(24):3422-3446.
    7. Lee HN*, Schwartzman A.. Eigenvalue and Eigenvector Inference for Exponential Families of Random Symmetric Matrices. Journal of Multivariate Analysis. 2018; (162):152-171.
    8. French J, McGinnis S, Schwartzman A .. Assessing NARCCAP climate model effects using spatial confidence regions. Adv. Stat. Clim. Meteorol. Oceanogr. 2017; (3):67-92.
    9. N-Kachouie N, Lin X, Schwartzman A.. FDR Control of Detected Regions by Multi-Scale Matched Filtering. Communications in Statistics - Simulation and Computation. 2017; 1(46):127-144.
    10. Qin L, Schwartzman A, McCall K, N-Kachouie N, Yap J.Method for detecting voxelwise changes in Fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials. Journal of Medical Imaging. 2017; 2(4):024006.
    11. Groisser D, Jung S, Schwartzman A.. Geometric foundations for scaling-rotation statistics on symmetric positive definite matrices: minimal smooth scaling-rotation curves in low dimensions. Electronic Journal of Statistics. 2017; 1(11):1092-1159.
    12. Cheng D*, Schwartzman A.. Multiple Testing of Local Maxima for Detection of Peaks in Random Fields. Annals of Statistics. 2017; 2(45):529-556.
    13. Scherrer B, Schwartzman A., Taquet M, Sahin M, Prabhu SP, Warfield SK.Characterizing the white-matter microstructure by assessment of the Distribution of Anisotropic Microstructural environments with Diffusion-weighted imaging (DIAMOND). Magnetic Resonance in Medicine. 2016; 76:963-977.
    14. Schwartzman A.. Log-Normal Distributions and Geometric Averages of Positive Definite Matrices. International Statistical Review. 2016; 3(84):456–486.
    15. Schwartzman A.. Comment: The Role of the Watson Distribution in Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI. The Annals of Applied Statistics. 2016; 3(10):1157-1159.
    16. Scherrer B, Schwartzman A, Taquet M, Sahin M, Prabhu SP, Warfield SK. Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion-compartment imaging (DIAMOND). Magn Reson Med. 2016 09; 76(3):963-77. PMID: 26362832.
      View in: PubMed
    17. Azriel D, Schwartzman A.. The Empirical Distribution of a Large Number of Correlated Normal Variables . Journal of the American Statistical Association. 2015; 110(511):1217-1228.
    18. Jung S, Schwartzman A, Groisser D .Scaling-Rotation Distance and Interpolation of Symmetric Positive Definite Matrices . SIAM Journal on Matrix Analysis and Applications. 2015; 3(36):11801201.
    19. Cheng D*, Schwartzman A.. The distribution of the height of local maxima of Gaussian random fields. Extremes. 2015; 18(2):213-240.
    20. Usset J*, Maity A, Staicu AM, Schwartzman A .. Glacier Terminus Estimation from Landsat Image Intensity Profiles. Journal of Agricultural, Biological and Environmental Statistics . 2015; 20(2):213-240.
    21. Sun W, Reich B, Cai TT, Guindani M, Schwartzman A.. False Discovery Control in Large- Scale Spatial Multiple Testing. Journal of the Royal Statistical Society, Series B. 2015; 77(1):59-83.
    22. N-Kachouie N, Lin X, Christiani DC, Schwartzman A.. Detection of Local DNA Copy Number Changes in Lung Cancer Population Analyses Using A Multi-Scale Approach. Communications in Statistics - Case Studies and Data Analysis. 2015; 4(1):206-216.
    23. Cheng D, Schwartzman A. Distribution of the Height of Local Maxima of Gaussian Random Fields. Extremes (Boston). 2015 Jun 01; 18(2):213-240. PMID: 26478714.
      View in: PubMed
    24. Naylor M*, Tosun D, Schuff N, Weiner M, Schwartzman A.. Voxelwise multivariate analysis of multimodality imaging. Human Brain Mapping. 2014; 35(3):831-846.
    25. Guo M*, Yap J, Van den Abbeele AD, Lin NU, Schwartzman A.. Voxelwise Analysis of Imaging Response to Therapy in Neuro-oncology. Stat. 2014; 3(1):172-186.
    26. N-Kachouie N*, Gerke T*, Winter J*, Huybers P, Schwartzman A.. Nonparametric Regression for Estimation of Spatial and Temporal Mountain Glacier Retreat from Satellite Images. Transactions on Geosciences and Remote Sensing. 2014; 3(5):1135-1149.
    27. N-Kachouie N*, Schwartzman A.. Non-Parametric Estimation of a Single Inection Point in Noisy Observed Signal. Journal of Electrical and Electronic Systems. 2013; 2(2).
    28. Osborne D, Patrangenaru V, Ellingson L, Groisser D, Schwartzman A.. Nonparametric Two- Sample Tests on Homogeneous Riemannian Manifolds, Cholesky Decompositions and Diffusion Tensor Image Analysis. Journal of Multivariate Analysis. 2013; 119:163-175.
    29. Schwartzman A, Jaffe A, Gavrilov Y*, Meyer C.Multiple Testing of Local Maxima for Detection of Peaks in ChIP-Seq Data. Annals of Applied Statistics. 2013; 7(1):471-494.
    30. N-Kachouie N*, Huybers P, Schwartzman A.. Localization of Mountain Glacier Termini in Landsat Multi-Spectral Images. Pattern Recognition Letters. 2013; 34(1):94-106..
    31. Scherrer B, Schwartzman A, Taquet M, Prabhu SP, Sahin M, Akhondi-Asl A, Warfield SK. Characterizing the distribution of anisotropic micro-structural environments with diffusion-weighted imaging (DIAMOND). Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):518-26. PMID: 24505801.
      View in: PubMed
    32. Schwartzman A, Jaffe A, Gavrilov Y, Meyer CA. MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN CHIP-SEQ DATA. Ann Appl Stat. 2013; 7(1):471-494. PMID: 25411587.
      View in: PubMed
    33. Gordon LB, Kleinman ME, Miller DT, Neuberg DS, Giobbie-Hurder A, Gerhard-Herman M, Smoot LB, Gordon CM, Cleveland R, Snyder BD, Fligor B, Bishop WR, Statkevich P, Regen A, Sonis A, Riley S, Ploski C, Correia A, Quinn N, Ullrich NJ, Nazarian A, Liang MG, Huh SY, Schwartzman A, Kieran MW. Clinical trial of a farnesyltransferase inhibitor in children with Hutchinson-Gilford progeria syndrome. Proc Natl Acad Sci U S A. 2012 Oct 09; 109(41):16666-71. PMID: 23012407.
      View in: PubMed
    34. Reiss PT, Schwartzman A, Lu F, Huang L, Proal E. Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies. Neuroimage. 2012 Dec; 63(4):1833-40. PMID: 22842214.
      View in: PubMed
    35. Reiss PT, Schwartzman A, Lu F, Huang L, Proal E.Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies. Neuroimage. 2012; 63:1833-1840.
    36. Schwartzman A.. Comment: FDP vs. FDR and the Effect of Conditioning. Journal of the American Statistical Association. 2012; 107(499):1039-1041.
    37. Schwartzman A. Comment on "Estimating False Discovery Proportion Under Arbitrary Covariance Dependence" by Fan et al. J Am Stat Assoc. 2012; 107(499):1039-1041. PMID: 24976660.
      View in: PubMed
    38. Schwartzman A, Gavrilov Y, Adler RJ. MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN 1D. Ann Stat. 2011 Dec 01; 39(6):3290-3319. PMID: 23576826.
      View in: PubMed
    39. Gerhard-Herman M, Smoot LB, Wake N, Kieran MW, Kleinman ME, Miller DT, Schwartzman A, Giobbie-Hurder A, Neuberg D, Gordon LB. Mechanisms of premature vascular aging in children with Hutchinson-Gilford progeria syndrome. Hypertension. 2012 Jan; 59(1):92-7. PMID: 22083160.
      View in: PubMed
    40. Schwartzman A, Lin X. The effect of correlation in false discovery rate estimation. Biometrika. 2011 Mar; 98(1):199-214. PMID: 23049127.
      View in: PubMed
    41. Schwartzman A, Gavrilov Y*, Adler RJ.Multiple Testing of Local Maxima for Detection of Peaks in 1D. Annals of Statistics. 2011; 39(6):3290-3319.
    42. Schwartzman A, Lin X.The effect of correlation in FDR estimation. Biometrika. 2011; 98(1):199-214..
    43. Schwartzman A. Comment on "Correlated z-values and the accuracy of large-scale statistical estimates" by Bradley Efron. J Am Stat Assoc. 2010 Sep 01; 105(491):1059-1063. PMID: 22021943.
      View in: PubMed
    44. Wu ZJ, Meyer CA, Choudhury S, Shipitsin M, Maruyama R, Bessarabova M, Nikolskaya T, Sukumar S, Schwartzman A, Liu JS, Polyak K, and Liu XS.Gene expression profiling of human breast tissue samples using SAGE-Seq. Genome Research. 2010; 20(12):1730-1739.
    45. Schwartzman A, Dougherty RF, Taylor JE.Group Comparison of Eigenvalues and Eigenvectors of Diffusion Tensors. Journal of the American Statistical Association. 2010; 105(490):588- 599.
    46. Hooker G, Finkelman M, Schwartzman A.. Paradoxical Results in Multidimensional Item Response Theory. Psychometrika. 2009; 74(31):419-442.
    47. Schwartzman A, Dougherty RF, Lee J, Ghahremani D, Taylor JE.Empirical Null and False Discovery Rate Analysis in Neuroimaging. Neuroimage. 2009; 44(1):71-82.
    48. Rauschecker AM, Deutsch GK, Ben-Shachar M, Schwartzman A, Perry LM, Dougherty RF.Reading impairment in a patient with missing arcuate fasciculus. Neuropsychologia. 2009; 47(1):180-194.
    49. Schwartzman A, Dougherty RF, Lee J, Ghahremani D, Taylor JE. Empirical null and false discovery rate analysis in neuroimaging. Neuroimage. 2009 Jan 01; 44(1):71-82. PMID: 18547821.
      View in: PubMed
    50. Schwartzman A, Mascarenhas W, Taylor JE.Inference for Eigenvalues and Eigenvectors of Gaussian Symmetric Matrices. Annals of Statistics. 2008; 36(6):2886-2919.
    51. Schwartzman A.. Empirical Null and False Discovery Rate Inference for Exponential Families. Annals of Applied Statistics. 2008; 2(4):1332-1359.
    52. Schwartzman A, Dougherty RF, Taylor JE.False Discovery Rate Analysis of Brain Diffusion Direction Maps. Annals of Applied Statistics. 2008; 2(1):153-175.
    53. Harezlak J, Wu MC, Wang M, Schwartzman A, Christiani DC, Lin X.Biomarker Discovery for Arsenic Exposure Using Functional Data. Analysis and Feature Learning of Mass Spectrometry Proteomic Data. Journal of Proteome Research. 2008; 7:217-224.
    54. Laederach A, Chan JM, Schwartzman A, Willgohs E, Altman RB.Co-planar and Co-axial orientations of RNA bases and helices. RNA. 2007; (13):643-650.
    55. Lee J, Shahram M, Schwartzman A, Pauly JM. A.A complex data analysis in high-resolution SSFP fMRI. Magnetic Resonance in Medicine. 2007; 57:905-917.
    56. Schwartzman A.. Comment on: `Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data' by Zhu et al. Journal of the American Statistical Association. 2007; 480(102):1102-1102.
    57. Anschel DJ, Pike B, Dolce S, Schwartzman A.. Analysis of writing in an epilepsy center population: A prospective blinded study. Epilepsy & Behavior. 2006; 9(3):464-468.
    58. Anschel DJ, Dolce S, Schwartzman A, Fisher RS.A blinded pilot study of artwork in a comprehensive epilepsy center population. Epilepsy & Behavior. 2005; 6(2):196-202.
    59. Schwartzman A, Dougherty RF, Taylor JE.Magnetic Resonance in Medicine. Cross-subject comparison of principal diffusion direction maps. 2005; 53(6):1423-1431.
    60. Schwartzman A, Wolf T, Gepstein L, Hayam G, Lessick J, Reisfeld D, Schwartz Y, Uretzky G, Ben-Haim SA.Characterisation of acute myocardial ischaemia in a canine model based on principal component analysis of unipolar endocardial electrograms. Medical & Biological Engineering and Computing. 2001; 39(5):571-578.