Boris Gutman

Education

Ph.D., Biomedical Engineering, University of California, Los Angeles, 2013
B.S., Applied Mathematics, University of California, Los Angeles, 2006

Research Interests

Predictive Multimodal Brain MRI Analysis
Multivariate Imaging Genetic Markers
Predicting Neurodegeneration from Brain MRI
 

Professional Affiliations & Memberships

• Organization for Human Brain Mapping (OHBM)
• Medical Image Computing and Computer Aided Intervention Society (MICCAI) 
• Society for Neuroscience (SFN)
• Institute of Electrical and Electronics Engineers (IEEE)
• IEEE Engineering in Medicine and Biology Society (EMBS)

Awards

• Alzheimer’s Association International Conference (AAIC) travel fellowship 2016

• Michal J. Fox Foundation & Alzheimer’s Association: Biomarkers across Neurodegenerative Diseases Award 2014

• UCLA Graduate Division Unrestricted Fellowship 2011

• NIH Neuro Imaging Training Program Graduate Fellowship 2010

• Staff Achievement Award, Laboratory of Neuro Imaging, UCLA 2009

• UCLA College Honors 2006

Publications

Peer-reviewed Journal papers

[1] M. Lorenzi, A. Altmann, B. Gutman, S. Wray, C. Arber, D.P. Hibar, N.Jahanshad, J.M. Schott, D.C. Alexander, P.M. Thompson, S. Ourselin, “Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease: evidence from functional prioritization in imaging-genetics," Proceedings of the National Academy of Sciences, in print, 2018

[2] D. Petrov*, B. A. Gutman*, T. G. van Erp, J. A. Turner, L. Schmaal, D. Veltman … (Ian H. Golib, 74 authors), et al., "Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging," arXiv preprint arXiv:1707.06353, 2017.

[3] D. Moyer, B. A. Gutman, J. Faskowitz, N. Jahanshad, and P. M. Thompson, "Continuous representations of brain connectivity using spatial point processes," Medical Image Analysis, vol. 41, pp. 32-39, 2017/10/01/ 2017.

[4] A. Lin, C. R. K. Ching, A. Vajdi, D. Sun, R. K. Jonas, M. Jalbrzikowski, L. Kushan-Wells, L. P. Hansen, E. Krikorian, B. Gutman, et al., "Mapping 22q11.2 Gene Dosage Effects on Brain Morphometry," The Journal of Neuroscience, 2017.

[5] D. P. Hibar, H. H. Adams, N. Jahanshad, G. Chauhan, J. L. Stein, E. Hofer, …. B.A. Gutman … and M.A. Ikram. (over 245 authors), "Novel genetic loci associated with hippocampal volume," Nature communications, vol. 8, 2017.

[6] B. S. C. Wade, S. H. Joshi, B. A. Gutman, and P. M. Thompson, "Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods," Pattern Recognition, vol. 63, pp. 731-739, 2017

[7] G. V. Roshchupkin*, B. A. Gutman*, M. W. Vernooij, N. Jahanshad, N. G. Martin, A. Hofman, et al., "Heritability of the shape of subcortical brain structures in the general population," Nature Communications, Accepted, 2016. * - equal contribution

[8] N. Harris, D. Verley, B. Gutman, P. Thompson, H. Yeh, and J. Brown, "Disconnection and hyper-connectivity underlie reorganization after TBI: A rodent functional connectomic analysis," Experimental neurology, vol. 277, pp. 124-138, 2016.

[9] B. Li, J. Shi, B. A. Gutman, L. C. Baxter, P. M. Thompson, R. J. Caselli, et al., "Influence of APOE Genotype on Hippocampal Atrophy over Time-An N= 1925 Surface-Based ADNI Study," PloS one, vol. 11, p. e0152901, 2016.

[10] B. S. Wade, S. H. Joshi, S. Njau, A. M. Leaver, M. Vasavada, R. P. Woods, B. A. Gutman, et al., "Effect of Electroconvulsive Therapy on Striatal Morphometry in Major Depressive Disorder," Neuropsychopharmacology, 2016.

[11] N. Harris, D. Verley, B. Gutman, and R. Sutton, "Bi-directional changes in fractional anisotropy after experiment TBI: Disorganization and reorganization?," NeuroImage, vol. 133, pp. 129-143, 2016.

[12] L. A. Wendelken, N. Jahanshad, H. J. Rosen, E. Busovaca, I. Allen, G. Coppola C. Adams, K. P. Rankin, B. Milanini, K. Clifford, K. Wojta, T. M. Nir, B. A. Gutman, P. M. Thompson, V. Valcour, "ApoE [epsilon] 4 is Associated with Cognition, Brain Integrity and Atrophy in HIV Over Age 60," JAIDS Journal of Acquired Immune Deficiency Syndromes, 2016.

[13] D. F. Tate, B. S. C. Wade, C. S. Velez, A. M. Drennon, J. Bolzenius, B. A. Gutman, et al., "Volumetric and Shape Analyses of Subcortical Structures in United States Service Members with Mild Traumatic Brain Injury," Journal of Neurology, vol. 263 (10), pp. 2065-2079, 2016.

[14] X. Hua, C. R. Ching, A. Mezher, B. A. Gutman, D. P. Hibar, P. Bhatt, A. D. Leow, C. R. Jack, M. A. Bernstein, and M. W. Weiner, "MRI-based brain atrophy rates in ADNI Phase 2: acceleration and enrichment considerations for clinical trials," Neurobiology of Aging, 2015.

[15] P. M. Thompson, … B. A. Gutman, … (63 more authors) for the ENIGMA Consortium, "ENIGMA and the Individual: Predicting Factors that Affect the Brain in 35 Countries Worldwide," Neuroimage, 2015.

[16] B. S. Wade, V. G. Valcour, L. Wendelken-Riegelhaupt, P. Esmaeili-Firidouni, S. H. Joshi, B. A. Gutman, and P. M. Thompson, "Mapping abnormal subcortical brain morphometry in an elderly HIV+ cohort," NeuroImage: Clinical, vol. 9, pp. 564-573, 2015.

[17] C. R. Jack, J. Barnes, M. A. Bernstein, B. J. Borowski, J. Brewer, S. Clegg, A. M. Dale, O. Carmichael, C. Ching, and C. DeCarli, Rahul S Desikan, Christine Fennema-Notestine, Anders M Fjell, Evan Fletcher, Nick C Fox, Jeff Gunter, B. A. Gutman, D. Holland, X. Hua, P. Insel, K. Kantarci, R. J. Killiany, G. Krueger, K. K. Leung, S. Mackin, P. Maillard, I. B. Malone, N. Mattsson, L. McEvoy, M. Modat, S. Mueller, R. Nosheny, S. Ourselin, N. Schuff, M. L. Senjem, A. Simonson, P. M. Thompson, D. Rettmann, P. Vemuri, K. Walhovd, Y. Zhao, S. Zuk, M. Weiner, "Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2," Alzheimer's & Dementia, vol. 11, pp. 740-756, 2015.

[18] J. H. Cole, M. L. Filippetti, M. P. Allin, M. Walshe, K. W. Nam, B. A. Gutman, R. M. Murray, L. Rifkin, P. M. Thompson, and C. Nosarti, "Subregional Hippocampal Morphology and Psychiatric Outcome in Adolescents Who Were Born Very Preterm and at Term," PloS one, vol. 10, p. e0130094, 2015.

[19] J. Shi, C. M. Stonnington, P. M. Thompson, K. Chen, B. Gutman, C. Reschke, L. C. Baxter, E. M. Reiman, R. J. Caselli, and Y. Wang, "Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry," Neuroimage, vol. 104, pp. 1-20, 2015.

[20] B. A. Gutman, Y. Wang, I. Yanovsky, X. Hua, A. W. Toga, C. R. J. Jr, M. W. Weiner, and P. M. Thompson, "Empowering Imaging Biomarkers of Alzheimer’s Disease," Neurobiology of Aging, vol. 36, pp. S69-S80, 2015.

[21] S. K. Madsen, B. A. Gutman, S. H. Joshi, A. W. Toga, C. R. Jack Jr, M. W. Weiner, and P. M. Thompson, "Mapping ventricular expansion onto cortical gray matter in older adults," Neurobiology of Aging, vol. 36, pp. S32-S41, 2015.

[22] M. Braskie, C. Boyle, P. Rajagopalan, B. Gutman, A. Toga, C. Raji, R. Tracy, L. Kuller, J. Becker, and O. Lopez, "Physical activity, inflammation, and volume of the aging brain," Neuroscience, vol. 273, pp. 199-209, 2014.

[23] F. F. Roussotte, B. A. Gutman, S. K. Madsen, J. B. Colby, K. L. Narr, and P. M. Thompson, "The apolipoprotein E epsilon 4 allele is associated with ventricular expansion rate and surface morphology in dementia and normal aging," Neurobiology of Aging, vol. 35, pp. 1309-1317, 2014.

[24] Y. Jin, Y. Shi, L. Zhan, B. Gutman, G. I. de Zubicaray, K. L. McMahon, M. J. Wright, A. W. Toga, and P. M. Thompson, "Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics," Neuroimage, vol. 100, pp. 75-90, 2014.

[25] F. F. Roussotte, B. A. Gutman, S. K. Madsen, J. B. Colby, and P. M. Thompson, "Combined Effects of Alzheimer Risk Variants in the CLU and ApoE Genes on Ventricular Expansion Patterns in the Elderly," The Journal of Neuroscience, vol. 34, pp. 6537-6545, 2014.

[26] E. Meintjes, K. Narr, A. van der Kouwe, C. Molteno, T. Pirnia, B. Gutman, R. Woods, P. Thompson, J. Jacobson, and S. Jacobson, "A tensor-based morphometry analysis of regional differences in brain volume in Relation to prenatal alcohol exposure," NeuroImage: Clinical, vol. 5, pp. 152-160, 2014.

[27] J. S. Labus, I. D. Dinov, Z. Jiang, C. Ashe-McNalley, A. Zamanyan, Y. Shi, J.-Y. Hong, A. Gupta, K. Tillisch, B. Ebrat, S. Hobel, B. A. Gutman, S. Joshi, P. M. Thompson, A. W. Toga, and E. A. Mayer, "Irritable bowel syndrome in female patients is associated with alterations in structural brain networks," PAIN®, vol. 155, pp. 137-149, 2014.

[28] J. Shi, N. Leporé, B. A. Gutman, P. M. Thompson, L. C. Baxter, R. L. Caselli, and Y. Wang, "Genetic influence of apolipoprotein E4 genotype on hippocampal morphometry: An N= 725 surface‐based Alzheimer's disease neuroimaging initiative study," Human Brain Mapping, vol. 35, pp. 3903-3918, 2014.

[29] B. A. Gutman, X. Hua, P. Rajagopalan, Y.-Y. Chou, Y. Wang, I. Yanovsky, A. W. Toga, C. R. Jack Jr, M. W. Weiner, and P. M. Thompson, "Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features," Neuroimage, vol. 70, pp. 386-401, 2013.

[30] J. Shi, P. M. Thompson, B. Gutman, and Y. Wang, "Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus," Neuroimage, vol. 78, pp. 111-134, 2013.

[31] E. Meintjes, K. Narr, A. van der Kouwe, C. Molteno, B. Gutman, R. Woods, P. Thompson, J. Jacobson, and S. Jacobson, "Tensor-Based Morphometry Reveals Brain Midline Tissue Reduction In Children With Heavy Prenatal Alcohol Exposure," in Alcoholism-Clinical and Experimental Research, 2013, pp. 105A-115A.

[32] X. Hua, D. P. Hibar, C. R. Ching, C. P. Boyle, P. Rajagopalan, B. A. Gutman, A. D. Leow, A. W. Toga, C. R. Jack, Jr., D. Harvey, M. W. Weiner, and P. M. Thompson, "Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials," Neuroimage, vol. 66C, pp. 648-661, Feb 1 2013.

[33] E. Luders, F. Kurth, P. M. Thompson, J. Y. Hong, B. Gutman, O. R. Phillips, A. W. Toga, and K. L. Narr, "The unique anatomy of the hippocampus in meditation practitioners," European Journal of Neurology, vol. 19, pp. 76-76, Sep 2012.

[34] E. Lutkenhoff, K. H. Karlsgodt, B. Gutman, J. L. Stein, P. M. Thompson, T. D. Cannon, and J. D. Jentsch, "Structural and functional neuroimaging phenotypes in dysbindin mutant mice," Neuroimage, vol. 62, pp. 120-9, Aug 1 2012.

[35] E. Luders, P. M. Thompson, F. Kurth, J. Y. Hong, O. R. Phillips, Y. Wang, B. A. Gutman, Y. Y. Chou, K. L. Narr, and A. W. Toga, "Global and regional alterations of hippocampal anatomy in long-term meditation practitioners," Human brain mapping, Jul 19 2012.

[36] K. L. Narr, O. R. Phillips, B. Gutman, R. P. Woods, P. Thompson, J. R. Alger, and R. T. Espinoza, "Fronto-limbic structural plasticity in patients with major depression treated with ECT," Journal of ECT, vol. 28, pp. 145-145, Jun 2012.

[37] D. Lee, I. Dinov, B. Dong, B. Gutman, I. Yanovsky, and A. W. Toga, "CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms," Computer methods and programs in biomedicine, vol. 106, pp. 175-87, Jun 2012.

[38] J. S. Labus, Z. Jiang, C. Ashe-McNalley, F. Kurth, J.-Y. Hong, B. Ebrat, A. Zamanyan, Y. Shi, A. Genco, S. Hobel, B. A. Gutman, S. H. Joshi, C. Schwartz, P. M. Thompson, I. Dinov, A. W. Toga, and E. A. Mayer, "313 Gray Matter Morphometric Differences Associated With Clinical and Behavioral Phenotypes in IBS Patients and Healthy Controls," Gastroenterology, vol. 142, pp. S-71, 2012.

[39] Y. Yang, K. H. Nuechterlein, O. R. Phillips, B. Gutman, F. Kurth, I. Dinov, P. M. Thompson, R. F. Asarnow, A. W. Toga, and K. L. Narr, "Disease and genetic contributions toward local tissue volume disturbances in schizophrenia: A tensor-based morphometry study," Human brain mapping, Aug 30 2011.

[40] X. Hua*, B. Gutman*, C. P. Boyle, P. Rajagopalan, A. D. Leow, I. Yanovsky, A. R. Kumar, A. W. Toga, C. R. Jack, Jr., N. Schuff, G. E. Alexander, K. Chen, E. M. Reiman, M. W. Weiner, and P. M. Thompson, "Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry," Neuroimage, vol. 57, pp. 5-14, Jul 1 2011.

[41] Y. Wang, Y. Song, P. Rajagopalan, T. An, K. Liu, Y. Y. Chou, B. Gutman, A. W. Toga, and P. M. Thompson, "Surface-based TBM boosts power to detect disease effects on the brain: an N=804 ADNI study," Neuroimage, vol. 56, pp. 1993-2010, Jun 15 2011.

[42] E. Luders, P. M. Thompson, K. L. Narr, A. Zamanyan, Y. Y. Chou, B. Gutman, I. D. Dinov, and A. W. Toga, "The link between callosal thickness and intelligence in healthy children and adolescents," Neuroimage, vol. 54, pp. 1823-30, Feb 1 2011.

[43] E. Luders, N. Cherbuin, P. M. Thompson, B. Gutman, K. J. Anstey, P. Sachdev, and A. W. Toga, "When more is less: associations between corpus callosum size and handedness lateralization," Neuroimage, vol. 52, pp. 43-9, Aug 1 2010.

[44] A. J. Ho, X. Hua, S. Lee, A. D. Leow, I. Yanovsky, B. Gutman, I. D. Dinov, N. Lepore, J. L. Stein, A. W. Toga, C. R. Jack, Jr., M. A. Bernstein, E. M. Reiman, D. J. Harvey, J. Kornak, N. Schuff, G. E. Alexander, M. W. Weiner, and P. M. Thompson, "Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry," Human brain mapping, vol. 31, pp. 499-514, Apr 2010.

[45] Y. Wang, J. Zhang, B. Gutman, T. F. Chan, J. T. Becker, H. J. Aizenstein, O. L. Lopez, R. J. Tamburo, A. W. Toga, and P. M. Thompson, "Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS," Neuroimage, vol. 49, pp. 2141-57, Feb 1 2010.

[46] I. Dinov, K. Lozev, P. Petrosyan, Z. Liu, P. Eggert, J. Pierce, A. Zamanyan, S. Chakrapani, J. Van Horn, D. S. Parker, R. Magsipoc, K. Leung, B. Gutman, R. Woods, and A. Toga, "Neuroimaging study designs, computational analyses and data provenance using the LONI pipeline," PloS one, vol. 5, 2010.

[47] X. Hua, S. Lee, I. Yanovsky, A. D. Leow, Y. Y. Chou, A. J. Ho, B. Gutman, A. W. Toga, C. R. Jack, Jr., M. A. Bernstein, E. M. Reiman, D. J. Harvey, J. Kornak, N. Schuff, G. E. Alexander, M. W. Weiner, and P. M. Thompson, "Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects," Neuroimage, vol. 48, pp. 668-81, Dec 2009.

[48] B. Gutman, Y. Wang, J. Morra, A. W. Toga, and P. M. Thompson, "Disease classification with hippocampal shape invariants," Hippocampus, vol. 19, pp. 572-8, Jun 2009.

Full-length peer-reviewed conference papers (8-12 pages)

[1] D. Moyer, B. A. Gutman, N. Jahanshad, and P. M. Thompson, "A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex," in Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, M. Niethammer, M. Styner, S. Aylward, H. Zhu, I. Oguz, P.-T. Yap, et al., Eds., ed Cham: Springer International Publishing, 2017, pp. 336-347.

[2] J. Zhang, J. Shi, C. Stonnington, Q. Li, B. A. Gutman, K. Chen, et al., "Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer’s Disease in Mild Cognitive Impairment," in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016, pp. 326-334.

[3] B. A. Gutman, F. Pizzagalli, N. Jahanshad, M. J. Wright2, K. L. McMahon, G. d. Zubicaray, et al., "Approximating Principal Genetic Components of Subcortical Shape," IEEE International Symposium on Biomedical Imaging (ISBI) 2017, 2017, pp. 1226-1230.

[4] D. Isaev*, B. A. Gutman*, D. Moyer, J. Faskowitz, and P. M. Thompson, "Cortical Connectome Registration Using Spherical Demons," SIPAIM 2016, 2016.

[5] M. Lorenzi, B. Gutman, P. Thompson, D. Alexander, A. Altmann, S. Ourselin, et al., "Secure multivariate large-scale multi-centric analysis through on-line learning: an imaging genetics case study," 12th International Symposium on Medical Information Processing and Analysis (SIPAIM 2016), p. submitted, 2016.

[6] M. Lorenzi, B. Gutman, D. P. Hibar, A. Altmann, N. Jahanshad, P. M. Thompson, et al., "Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization," in 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, pp. 838-841.

[7] D. Moyer, B. A. Gutman, J. Faskowitz, N. Jahanshad, and P. M. Thompson, "A Continuous Model of Cortical Connectivity," in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016, pp. 157-165.

[8] B. A. Gutman, P. T. Fletcher, M. J. Cardoso, G. M. Fleishman, M. Lorenzi, P. M. Thompson, and S. Ourselin, "A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes," in Information Processing in Medical Imaging, ed: Springer International Publishing, 2015, pp. 205-218. (Oral, Acceptance rate = 10.3%)

[9] B. A. Gutman, N. Jahanshad, C. R. Ching, Y. Wang, P. V. Kochunov, T. E. Nichols, and P. M. Thompson, "Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis," in Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 2015, pp. 1402-1406.

[10] G. M. Fleishman, B. A. Gutman, P. T. Fletcher, and P. M. Thompson, "Simultaneous Longitudinal Registration with Group-Wise Similarity Prior," in Information Processing in Medical Imaging, ed: Springer International Publishing, 2015, pp. 746-757.

[11] G. M. Fleishman, B. A. Gutman, P. T. Fletcher, and P. Thompson, "A transformation similarity constraint for groupwise nonlinear registration in longitudinal neuroimaging studies," in SPIE Medical Imaging, 2015, pp. 94130X-94130X-12.

[12] S. K. Madsen, G. Ver Steeg, A. Mezher, N. Jahanshad, T. M. Nir, X. Hua, B. A. Gutman, A. Galstyan, and P. M. Thompson, "Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly," Brooklyn, NY, USA: International Symposium for Biomedical Imaging, 2015.

[13] G. M. Fleishman, P. T. Fletcher, B. A. Gutman, G. Prasad, Y. Wu, and P. M. Thompson, "Geodesic Refinement Using James-Stein Estimators," Mathematical Foundations of Computational Analysis workshop, MICCAI 2015, vol. Accepted, 2015.

[14] B. A. Gutman, T. P. Fletcher, G. M. Fleishman, and P. T. Thompson, "Reconstructing Karcher Means of Shapes on a Riemannian Manifold of Metrics and Curvatures," Mathematical Foundations of Computational Analysis workshop, MICCAI 2015, vol. Accepted, 2015.

[15] T. M. Nir, J. E. Villalon, B. Gutman, D. Moyer, N. Jahanshad, C. R. J. Jr, M. Weiner, and P. M. Thompson, "Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI," MICCAI CDMRI (Computational Diffusion MRI) workshop, vol. Accepted, 2015.

[16] B. Wade, S. H. Joshi, B. A. Gutman, K. L. Narr, and T. P.M., "Machine Learning on High Dimensional Surface-Based Shape Data: A Comparison of Feature Selection and Classification Methods," MICCAI Machine Learning in Medical Imaging Workshop, 2015.

[17] D. Moyer, B. A. Gutman, G. Prasad, G. Ver Steeg, and Thompson P.M., "Mixed Membership Stochastic Block Models for the Human Connectome," Bayesian and Graphical Models in Medical Imaging workshop (BAMBI), MICCAI 2015, vol. Accepted, 2015.

[18] B. Gutman, C. Leonardo, N. Jahanshad, D. Hibar, K. Eschenburg, T. Nir, J. Villalon, and P. Thompson, "Registering Cortical Surfaces Based on Whole-Brain Structural Connectivity and Continuous Connectivity Analysis," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. vol. 8675, P. Golland, N. Hata, C. Barillot, J. Hornegger, and R. Howe, Eds., ed: Springer International Publishing, 2014, pp. 161-168. (Acceptance rate = ~33%)

[19] B. A. Gutman, S. K. Madsen, A. W. Toga, and P. M. Thompson, "A Family of Fast Spherical Registration Algorithms for Cortical Shapes," in Multimodal Brain Image Analysis 2013., accepted for oral presentation, Nagoya, Japan Sept. 22, 2013

[20] S. K. Madsen, B. A. Gutman, S. Joshi, A. W. Toga, C. R. Jack, M. W. Weiner, and P. M. Thompson, “Mapping dynamic changes in ventricular volume onto baseline cortical surfaces in normal aging, MCI, and Alzheimer’s disease," in Multimodal Brain Image Analysis 2013., accepted, Nagoya, Japan Sept. 22, 2013

[21] B. A. Gutman, P. Rajagopalan, A. W. Toga, and P. M. Thompson, "Maximizing Power to Track Alzheimer’s Disease Progression by LDA-Based Weighting of Longitudinal Ventricular Surface Features," MICCAI 2012 Workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders, pp. 91-102, October 5th, 2012.

[22] B. Gutman, R. McComb, J. Sung, W. Moon, and P. Thompson, "Robust Shape Correspondence via Spherical Patch Matching for Atlases of Partial Skull Models," in Mesh Processing in Medical Image Analysis 2012. vol. 7599, J. Levine, R. Paulsen, and Y. Zhang, Eds., ed: Springer Berlin Heidelberg, 2012, pp. 89-100.

[23] S. H. Joshi, A. A. Joshi, B. Gutman, A. W. Toga, K. McMahon, G. De Zubicaray, N. Martin, M. J. Wright, and P. M. Thompson, "Genetic influences on sulcal patterns of the brain," in Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, 2012, pp. 414-417.

[24] B. A. Gutman, W. Yalin, P. Rajagopalan, A. W. Toga, and P. M. Thompson, "Shape matching with medial curves and 1-D group-wise registration," in Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, 2012, pp. 716-719.

[25] S. H. Joshi, R. P. Cabeen, B. Sun, A. A. Joshi, B. Gutman, A. Zamanyan, S. Chakrapani, I. Dinov, R. P. Woods, and A. W. Toga, "Cortical sulcal atlas construction using a diffeomorphic mapping approach," Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 13, pp. 357-66, 2010. (Acceptance rate = 31.8%)

[26] B. Gutman, Y. Wang, J. Morra, A. Toga, P. Thompson, “Disease classification with hippocampal shape invariants,” MICCAI 2008 Workshop on Computational Anatomy and Physiology of the Hippocampus (CAPH ’08):76–86.

[27] B. Gutman, Y. Wang, L. M. Lui, T. F. Chan, P. M. Thompson, and A. W. Toga, "Shape Registration with Spherical Cross Correlation," MICCAI Workshop on Mathematical Foundations in Computational Anatomy (MFCA ’08), 2008.

[28] B. Gutman, Y. Wang, L. Lui, T. Chan, P. Thompson, "Hippocampal Surface Discrimination via Invariant Descriptors of Spherical Conformal Maps,” 4th IEEE International Symposium on Biomedical Imaging (ISBI ’07): 1316 – 1319, April 12-15, 2007

[29] B. Gutman, Y. Wang, L. Lui, T. Chan, P. Thompson, "Hippocampal Surface Analysis Using Spherical Harmonic Function Applied to Surface Conformal Mapping," ICPR, pp. 964-967, 18th International Conference on Pattern Recognition (ICPR'06), 2006.
 

Expertise

Medical image analysis, neuroimaging, imaging biomarkers of neurodegenerative disease, imaging genetics, brain connectivity analysis, computational differential geometry, anatomical shape analysis