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Armin Schwartzman

Title(s)Professor, Biostatistics, Family Medicine and Public Health
SchoolHealth Sciences, Biostatistics and Halicioglu Data Science Institute
Address9500 Gilman Drive #0725
La Jolla CA 92093
Phone858-534-8928
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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
    Multiple testing methods for random fields and high-dimensional dependent data
    NIH/NCI R01CA157528Apr 1, 2016 - Mar 31, 2018
    Role: Principal Investigator
    Voxelwise analysis of imaging response to therapy in neuro-oncology
    NIH/NIBIB R21EB013795Sep 30, 2012 - Aug 31, 2014
    Role: Principal Investigator

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    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. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time. Eur J Radiol. 2020 Mar; 124:108837. Cunha GM, Hasenstab KA, Higaki A, Wang K, Delgado T, Brunsing RL, Schlein A, Schwartzman A, Hsiao A, Sirlin CB, Fowler KJ. PMID: 31958630.
      View in: PubMed   Mentions:    Fields:    
    2. Multiple testing of local maxima for detection of peaks on the (celestial) sphere. Bernoulli. 2020; 1(26): 31-60. Cheng D, Cammarota V, Fantaye Y, Marinucci D, Schwartzman A..
    3. On critical points of Gaussian random fields under diffeomorphic transformations. Statistics and Probability Letters. 2020; (158):108672. Cheng D, Schwartzman A..
    4. Estimation of linear projections of non-sparse signals for high-dimensional Gaussian observations with strong dependence. Electronic Journal of Statistics. 2020; (14):174-206. Azriel D, Schwartzman A..
    5. Achieving atmospheric verification of CO2 emissions. Nature Climate Change. 2020; (10):416-417. Schwartzman, A, Keeling RF.
    6. 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. 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. PMID: 31655943.
      View in: PubMed   Mentions:    Fields:    
    7. Spatial confidence sets for raw effect size images. Neuroimage. 2019 12; 203:116187. Bowring A, Telschow F, Schwartzman A, Nichols TE. PMID: 31533067.
      View in: PubMed   Mentions:    Fields:    
    8. MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN RANDOM FIELDS. Ann Stat. 2017 Apr; 45(2):529-556. Cheng D, Schwartzman A. PMID: 31527989.
      View in: PubMed   Mentions:
    9. Peak p-values and false discovery rate inference in neuroimaging. Neuroimage. 2019 08 15; 197:402-413. Schwartzman A, Telschow F. PMID: 31028923.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    10. Source Detection and False Discovery Rate Control on CMB Maps. Astronomy and Computing. 2019; (28):100310. Carron Duque J, Buzzelli A, Fantaye Y, Marinucci D, Schwartzman A, Vittorio N. Point.
    11. A simple, consistent estimator of heritability from genome-wide association studies. Annals of Applied Statistics. 2019; 4(13):2509-2538. Schwartzman A, Schork A, Zablocki R, Thompson WK.
    12. Unexpected topology of the temperature fluctuations in the Cosmic Microwave Background. Astronomy & Astrophysics. 2019; (627):A163. Pranav P, Adler RJ, Buchert T, Edelsbrunner H, Jones BJT, Schwartzman A, Wagner H, van de Weygaert R.
    13. Confidence regions for spatial excursion sets from repeated random field observations, with an application to climate. J Am Stat Assoc. 2018; 113(523):1327-1340. Sommerfeld M, Sain S, Schwartzman A. PMID: 31452557.
      View in: PubMed   Mentions:
    14. Expected Number and Height Distribution of Critical Points of Smooth Isotropic Gaussian Random Fields. Bernoulli (Andover). 2018 Nov; 24(4B):3422-3446. Cheng D, Schwartzman A. PMID: 31511762.
      View in: PubMed   Mentions:
    15. Observing the ice-covered Weddell Gyre with profiling floats: Position uncertainties and correlation statistics. Journal of Geophysical Research: Oceans. 2018; (123):8383-8410. Chamberlain PM, Talley LD, Mazlo MR, Riser SC, Speer K, Gray AR, Schwartzman A..
    16. Eigenvalue and Eigenvector Inference for Exponential Families of Random Symmetric Matrices. Journal of Multivariate Analysis. 2018; (162):152-171. Lee HN*, Schwartzman A..
    17. Method for detecting voxelwise changes in fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials. J Med Imaging (Bellingham). 2017 Apr; 4(2):024006. Qin L, Schwartzman A, McCall K, Kachouie NN, Yap JT. PMID: 28612035.
      View in: PubMed   Mentions:
    18. Assessing NARCCAP climate model effects using spatial confidence regions. Adv. Stat. Clim. Meteorol. Oceanogr. 2017; (3):67-92. French J, McGinnis S, Schwartzman A ..
    19. FDR Control of Detected Regions by Multi-Scale Matched Filtering. Communications in Statistics - Simulation and Computation. 2017; 1(46):127-144. N-Kachouie N, Lin X, Schwartzman A..
    20. 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. Qin L, Schwartzman A, McCall K, N-Kachouie N, Yap J.
    21. 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. Groisser D, Jung S, Schwartzman A..
    22. Detection of Local DNA Copy Number Changes in Lung Cancer Population Analyses Using A Multi-Scale Approach. Commun Stat Case Stud Data Anal Appl. 2015; 1(4):206-216. Kachouie NN, Lin X, Christiani DC, Schwartzman A. PMID: 31489360.
      View in: PubMed   Mentions:
    23. 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. Schwartzman A..
    24. Log-Normal Distributions and Geometric Averages of Positive Definite Matrices. International Statistical Review. 2016; 3(84):456–486. Schwartzman A..
    25. 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. Scherrer B, Schwartzman A, Taquet M, Sahin M, Prabhu SP, Warfield SK. PMID: 26362832.
      View in: PubMed   Mentions: 15     Fields:    Translation:HumansAnimals
    26. The Empirical Distribution of a Large Number of Correlated Normal Variables . Journal of the American Statistical Association. 2015; 110(511):1217-1228. Azriel D, Schwartzman A..
    27. Scaling-Rotation Distance and Interpolation of Symmetric Positive Definite Matrices . SIAM Journal on Matrix Analysis and Applications. 2015; 3(36):11801201. Jung S, Schwartzman A, Groisser D .
    28. Glacier Terminus Estimation from Landsat Image Intensity Profiles. Journal of Agricultural, Biological and Environmental Statistics . 2015; 20(2):213-240. Usset J*, Maity A, Staicu AM, Schwartzman A ..
    29. 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. N-Kachouie N, Lin X, Christiani DC, Schwartzman A..
    30. False Discovery Control in Large- Scale Spatial Multiple Testing. Journal of the Royal Statistical Society, Series B. 2015; 77(1):59-83. Sun W, Reich B, Cai TT, Guindani M, Schwartzman A..
    31. FDR control of detected regions by multiscale matched filtering. Commun Stat Simul Comput. 2017; 46(1):127-144. Kachouie NN, Lin X, Schwartzman A. PMID: 31501637.
      View in: PubMed   Mentions:
    32. Distribution of the Height of Local Maxima of Gaussian Random Fields. Extremes (Boston). 2015 Jun 01; 18(2):213-240. Cheng D, Schwartzman A. PMID: 26478714.
      View in: PubMed   Mentions:
    33. The Empirical Distribution of a Large Number of Correlated Normal Variables. J Am Stat Assoc. 2015 Sep 01; 110(511):1217-1228. Azriel D, Schwartzman A. PMID: 26858467.
      View in: PubMed   Mentions:
    34. Voxelwise multivariate analysis of multimodality imaging. Human Brain Mapping. 2014; 35(3):831-846. Naylor M*, Tosun D, Schuff N, Weiner M, Schwartzman A..
    35. Voxelwise Analysis of Imaging Response to Therapy in Neuro-oncology. Stat. 2014; 3(1):172-186. Guo M*, Yap J, Van den Abbeele AD, Lin NU, Schwartzman A..
    36. 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. N-Kachouie N*, Gerke T*, Winter J*, Huybers P, Schwartzman A..
    37. Voxelwise multivariate analysis of multimodality magnetic resonance imaging. Hum Brain Mapp. 2014 Mar; 35(3):831-46. Naylor MG, Cardenas VA, Tosun D, Schuff N, Weiner M, Schwartzman A. PMID: 23408378.
      View in: PubMed   Mentions: 5     Fields:    Translation:Humans
    38. Non-Parametric Estimation of a Single Inection Point in Noisy Observed Signal. Journal of Electrical and Electronic Systems. 2013; 2(2). N-Kachouie N*, Schwartzman A..
    39. Nonparametric Two- Sample Tests on Homogeneous Riemannian Manifolds, Cholesky Decompositions and Diffusion Tensor Image Analysis. Journal of Multivariate Analysis. 2013; 119:163-175. Osborne D, Patrangenaru V, Ellingson L, Groisser D, Schwartzman A..
    40. Localization of Mountain Glacier Termini in Landsat Multi-Spectral Images. Pattern Recognition Letters. 2013; 34(1):94-106.. N-Kachouie N*, Huybers P, Schwartzman A..
    41. 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. Scherrer B, Schwartzman A, Taquet M, Prabhu SP, Sahin M, Akhondi-Asl A, Warfield SK. PMID: 24505801.
      View in: PubMed   Mentions: 8     Fields:    Translation:Cells
    42. MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN CHIP-SEQ DATA. Ann Appl Stat. 2013; 7(1):471-494. Schwartzman A, Jaffe A, Gavrilov Y, Meyer CA. PMID: 25411587.
      View in: PubMed   Mentions:
    43. 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. 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. PMID: 23012407.
      View in: PubMed   Mentions: 97     Fields:    Translation:HumansCTClinical Trials
    44. Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies. Neuroimage. 2012 Dec; 63(4):1833-40. Reiss PT, Schwartzman A, Lu F, Huang L, Proal E. PMID: 22842214.
      View in: PubMed   Mentions: 7     Fields:    Translation:Humans
    45. Comment on "Estimating False Discovery Proportion Under Arbitrary Covariance Dependence" by Fan et al. J Am Stat Assoc. 2012; 107(499):1039-1041. Schwartzman A. PMID: 24976660.
      View in: PubMed   Mentions:
    46. MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN 1D. Ann Stat. 2011 Dec 01; 39(6):3290-3319. Schwartzman A, Gavrilov Y, Adler RJ. PMID: 23576826.
      View in: PubMed   Mentions:
    47. Mechanisms of premature vascular aging in children with Hutchinson-Gilford progeria syndrome. Hypertension. 2012 Jan; 59(1):92-7. Gerhard-Herman M, Smoot LB, Wake N, Kieran MW, Kleinman ME, Miller DT, Schwartzman A, Giobbie-Hurder A, Neuberg D, Gordon LB. PMID: 22083160.
      View in: PubMed   Mentions: 32     Fields:    Translation:HumansCTClinical Trials
    48. The effect of correlation in false discovery rate estimation. Biometrika. 2011 Mar; 98(1):199-214. Schwartzman A, Lin X. PMID: 23049127.
      View in: PubMed   Mentions: 25     Fields:    
    49. Gene expression profiling of human breast tissue samples using SAGE-Seq. Genome Res. 2010 Dec; 20(12):1730-9. Wu ZJ, Meyer CA, Choudhury S, Shipitsin M, Maruyama R, Bessarabova M, Nikolskaya T, Sukumar S, Schwartzman A, Liu JS, Polyak K, Liu XS. PMID: 21045080.
      View in: PubMed   Mentions: 24     Fields:    Translation:HumansCells
    50. 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. Schwartzman A. PMID: 22021943.
      View in: PubMed   Mentions:
    51. Gene expression profiling of human breast tissue samples using SAGE-Seq. Genome Research. 2010; 20(12):1730-1739. 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.
    52. Group Comparison of Eigenvalues and Eigenvectors of Diffusion Tensors. Journal of the American Statistical Association. 2010; 105(490):588- 599. Schwartzman A, Dougherty RF, Taylor JE.
    53. Paradoxical Results in Multidimensional Item Response Theory. Psychometrika. 2009; 74(31):419-442. Hooker G, Finkelman M, Schwartzman A..
    54. Reading impairment in a patient with missing arcuate fasciculus. Neuropsychologia. 2009; 47(1):180-194. Rauschecker AM, Deutsch GK, Ben-Shachar M, Schwartzman A, Perry LM, Dougherty RF.
    55. Reading impairment in a patient with missing arcuate fasciculus. Neuropsychologia. 2009 Jan; 47(1):180-94. Rauschecker AM, Deutsch GK, Ben-Shachar M, Schwartzman A, Perry LM, Dougherty RF. PMID: 18775735.
      View in: PubMed   Mentions: 29     Fields:    Translation:HumansPHPublic Health
    56. Empirical null and false discovery rate analysis in neuroimaging. Neuroimage. 2009 Jan 01; 44(1):71-82. Schwartzman A, Dougherty RF, Lee J, Ghahremani D, Taylor JE. PMID: 18547821.
      View in: PubMed   Mentions: 17     Fields:    Translation:Humans
    57. Inference for Eigenvalues and Eigenvectors of Gaussian Symmetric Matrices. Annals of Statistics. 2008; 36(6):2886-2919. Schwartzman A, Mascarenhas W, Taylor JE.
    58. Empirical Null and False Discovery Rate Inference for Exponential Families. Annals of Applied Statistics. 2008; 2(4):1332-1359. Schwartzman A..
    59. False Discovery Rate Analysis of Brain Diffusion Direction Maps. Annals of Applied Statistics. 2008; 2(1):153-175. Schwartzman A, Dougherty RF, Taylor JE.
    60. 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. Harezlak J, Wu MC, Wang M, Schwartzman A, Christiani DC, Lin X.
    61. Biomarker discovery for arsenic exposure using functional data. Analysis and feature learning of mass spectrometry proteomic data. J Proteome Res. 2008 Jan; 7(1):217-24. Harezlak J, Wu MC, Wang M, Schwartzman A, Christiani DC, Lin X. PMID: 18173220.
      View in: PubMed   Mentions: 5     Fields:    Translation:HumansPHPublic Health
    62. Complex data analysis in high-resolution SSFP fMRI. Magn Reson Med. 2007 May; 57(5):905-17. Lee J, Shahram M, Schwartzman A, Pauly JM. PMID: 17457883.
      View in: PubMed   Mentions: 17     Fields:    Translation:Humans
    63. Co-planar and Co-axial orientations of RNA bases and helices. RNA. 2007; (13):643-650. Laederach A, Chan JM, Schwartzman A, Willgohs E, Altman RB.
    64. A complex data analysis in high-resolution SSFP fMRI. Magnetic Resonance in Medicine. 2007; 57:905-917. Lee J, Shahram M, Schwartzman A, Pauly JM. A.
    65. 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. Schwartzman A..
    66. Analysis of writing in an epilepsy center population: A prospective blinded study. Epilepsy & Behavior. 2006; 9(3):464-468. Anschel DJ, Pike B, Dolce S, Schwartzman A..
    67. Cross-subject comparison of principal diffusion direction maps. Magn Reson Med. 2005 Jun; 53(6):1423-31. Schwartzman A, Dougherty RF, Taylor JE. PMID: 15906307.
      View in: PubMed   Mentions: 30     Fields:    Translation:Humans
    68. A blinded pilot study of artwork in a comprehensive epilepsy center population. Epilepsy & Behavior. 2005; 6(2):196-202. Anschel DJ, Dolce S, Schwartzman A, Fisher RS.
    69. Magnetic Resonance in Medicine. Cross-subject comparison of principal diffusion direction maps. 2005; 53(6):1423-1431. Schwartzman A, Dougherty RF, Taylor JE.
    70. 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. Schwartzman A, Wolf T, Gepstein L, Hayam G, Lessick J, Reisfeld D, Schwartz Y, Uretzky G, Ben-Haim SA.
    71. Models of intelligence in late life: comment on Hultsch et al. (1999). Psychol Aging. 1999 Sep; 14(3):520-7; discussion 528-34. Pushkar D, Etezadi J, Andres D, Arbuckle T, Schwartzman AE, Chaikelson J. PMID: 10509704.
      View in: PubMed   Mentions: 6     Fields:    Translation:Humans
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