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Boris Gutman
Boris A. Gutman
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2020 – today
- 2024
- [c42]Yuji Zhao, Boris A. Gutman:
Morph-Transformer: A Deep Spatiotemporal Framework for Shape Analysis in Longitudinal Neuroimaging. ISBI 2024: 1-5 - 2022
- [c41]Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton
, Laura M. Parkes
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. MLCN@MICCAI 2022: 115-124 - 2021
- [j20]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021) - [c40]Yuji Zhao, Anvar Kurmukov, Boris A. Gutman:
Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases. ISBI 2021: 845-849 - [i10]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR abs/2102.10503 (2021) - 2020
- [j19]Anvar Kurmukov
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. Brain Connect. 10(4): 183-194 (2020) - [c39]Santiago Silva, André Altmann
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI 2020: 201-210
2010 – 2019
- 2019
- [j18]Neda Jahanshad
Multi-Site Meta-Analysis of Morphometry. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1508-1514 (2019) - [c38]Santiago Silva
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. ISBI 2019: 270-274 - [c37]Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman:
Constraining Disease Progression Models Using Subject Specific Connectivity Priors. CNI@MICCAI 2019: 106-116 - [c36]Ayagoz Mussabayeva, Maxim Pisov
Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. MBIA/MFCA@MICCAI 2019: 151-161 - 2018
- [j17]Marco Lorenzi
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115(12): 3162-3167 (2018) - [c35]Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. CNI@MICCAI 2018: 117-126 - [c34]Ayagoz Mussabayeva, Alexey Kroshnin
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. ShapeMI@MICCAI 2018: 160-168 - [c33]Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. ShapeMI@MICCAI 2018: 268-276 - [i9]Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. CoRR abs/1808.04262 (2018) - [i8]Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. CoRR abs/1808.04439 (2018) - [i7]Santiago Silva, Boris Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. CoRR abs/1810.08553 (2018) - 2017
- [j16]Daniel Moyer, Boris A. Gutman
Continuous representations of brain connectivity using spatial point processes. Medical Image Anal. 41: 32-39 (2017) - [j15]Benjamin S. C. Wade, Shantanu H. Joshi, Boris A. Gutman
Machine learning on high dimensional shape data from subcortical brain surfaces: A comparison of feature selection and classification methods. Pattern Recognit. 63: 731-739 (2017) - [c32]Nikita Mokrov, Maxim Panov
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification. COMPLEX NETWORKS 2017: 1261-1270 - [c31]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. IPMI 2017: 336-347 - [c30]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev
Structural connectome validation using pairwise classification. ISBI 2017: 451-455 - [c29]Benjamin S. C. Wade
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. ISBI 2017: 502-506 - [c28]Boris A. Gutman, Fabrizio Pizzagalli
Approximating principal genetic components of subcortical shape. ISBI 2017: 1226-1230 - [c27]Anvar Kurmukov, Marina Ananyeva
Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI 2017: 3-11 - [c26]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
Product Space Decompositions for Continuous Representations of Brain Connectivity. MLMI@MICCAI 2017: 353-361 - [c25]Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. MLMI@MICCAI 2017: 371-378 - [c24]Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson:
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. MICCAI (1) 2017: 515-522 - [i6]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson:
Structural Connectome Validation Using Pairwise Classification. CoRR abs/1701.07847 (2017) - [i5]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. CoRR abs/1703.00981 (2017) - [i4]Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson:
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. CoRR abs/1706.06031 (2017) - 2016
- [j14]Neil G. Harris
Bi-directional changes in fractional anisotropy after experiment TBI: Disorganization and reorganization? NeuroImage 133: 129-143 (2016) - [c23]Wen Zhang
Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. ISBI 2016: 14-18 - [c22]Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI 2016: 646-650 - [c21]Marco Lorenzi
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI 2016: 838-841 - [c20]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
A Continuous Model of Cortical Connectivity. MICCAI (1) 2016: 157-165 - [c19]Jie Zhang, Jie Shi
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) 2016: 326-334 - [c18]Sarah K. Madsen, Greg Ver Steeg, Madelaine Daianu, Adam Mezher, Neda Jahanshad, Talia M. Nir
Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly. Medical Imaging: Image Processing 2016: 978411 - [i3]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
A Continuous Model of Cortical Connectivity. CoRR abs/1610.03809 (2016) - [i2]Sarah Parisot, Jonathan Passerat-Palmbach, Markus D. Schirmer, Boris Gutman:
Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016. CoRR abs/1611.03363 (2016) - [i1]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents. CoRR abs/1611.06197 (2016) - 2015
- [j13]Jie Shi
Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry. NeuroImage 104: 1-20 (2015) - [c17]Boris A. Gutman, P. Thomas Fletcher, Manuel Jorge Cardoso, Greg M. Fleishman, Marco Lorenzi
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. IPMI 2015: 205-218 - [c16]Greg M. Fleishman, Boris A. Gutman, P. Thomas Fletcher, Paul M. Thompson:
Simultaneous Longitudinal Registration with Group-Wise Similarity Prior. IPMI 2015: 746-757 - [c15]Sarah K. Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir
Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly. ISBI 2015: 980-984 - [c14]Boris A. Gutman, Neda Jahanshad, Christopher R. K. Ching, Yalin Wang
Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis. ISBI 2015: 1402-1406 - [c13]Benjamin S. C. Wade
Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods. MLMI 2015: 36-43 - [c12]Michelle Hromatka, Miaomiao Zhang, Greg M. Fleishman, Boris Gutman, Neda Jahanshad, Paul M. Thompson
A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases. MICCAI (2) 2015: 372-379 - [c11]Greg M. Fleishman, Boris A. Gutman, P. Thomas Fletcher, Paul M. Thompson
A transformation similarity constraint for groupwise nonlinear registration in longitudinal neuroimaging studies. Medical Imaging: Image Processing 2015: 94130X - 2014
- [j12]Yan Jin
Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. NeuroImage 100: 75-90 (2014) - [c10]Daniel Garijo
FragFlow Automated Fragment Detection in Scientific Workflows. eScience 2014: 281-289 - [c9]Boris Gutman, Cassandra D. Leonardo, Neda Jahanshad, Derrek P. Hibar, Kristian M. Eschenburg, Talia M. Nir, Julio Villalon, Paul M. Thompson
Registering Cortical Surfaces Based on Whole-Brain Structural Connectivity and Continuous Connectivity Analysis. MICCAI (3) 2014: 161-168 - 2013
- [b1]Boris A. Gutman:
Shape Analysis Methods for 3D Brain and Skull Imaging. University of California, Los Angeles, USA, 2013 - [j11]Xue Hua, Derrek P. Hibar, Christopher R. K. Ching, Christina P. Boyle, Priya Rajagopalan, Boris Gutman
Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials. NeuroImage 66: 648-661 (2013) - [j10]Boris Gutman
Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features. NeuroImage 70: 386-401 (2013) - [j9]Jie Shi
Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus. NeuroImage 78: 111-134 (2013) - [c8]Sarah K. Madsen, Boris Gutman, Shantanu H. Joshi, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson:
Mapping Dynamic Changes in Ventricular Volume onto Baseline Cortical Surfaces in Normal Aging, MCI, and Alzheimer's Disease. MBIA 2013: 84-94 - [c7]Boris A. Gutman, Sarah K. Madsen, Arthur W. Toga, Paul M. Thompson:
A Family of Fast Spherical Registration Algorithms for Cortical Shapes. MBIA 2013: 246-257 - 2012
- [j8]Daren Lee, Ivo D. Dinov
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms. Comput. Methods Programs Biomed. 106(3): 175-187 (2012) - [j7]Evan Lutkenhoff, Katherine H. Karlsgodt
Structural and functional neuroimaging phenotypes in dysbindin mutant mice. NeuroImage 62(1): 120-129 (2012) - [c6]Shantanu H. Joshi, Anand A. Joshi
Genetic influences on sulcal patterns of the brain. ISBI 2012: 414-417 - [c5]Boris Gutman, Yalin Wang
Shape matching with medial curves and 1-D group-wise registration. ISBI 2012: 716-719 - [c4]Boris Gutman, Ryan McComb, Jay Sung, Won Moon, Paul M. Thompson:
Robust Shape Correspondence via Spherical Patch Matching for Atlases of Partial Skull Models. MeshMed 2012: 89-100 - 2011
- [j6]Eileen Luders, Paul M. Thompson
The link between callosal thickness and intelligence in healthy children and adolescents. NeuroImage 54(3): 1823-1830 (2011) - [j5]Yalin Wang
Surface-based TBM boosts power to detect disease effects on the brain: An N = 804 ADNI study. NeuroImage 56(4): 1993-2010 (2011) - [j4]Xue Hua, Boris Gutman
Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry. NeuroImage 57(1): 5-14 (2011) - 2010
- [j3]Yalin Wang
Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS. NeuroImage 49(3): 2141-2157 (2010) - [j2]Eileen Luders, Nicolas Cherbuin
When more is less: Associations between corpus callosum size and handedness lateralization. NeuroImage 52(1): 43-49 (2010) - [c3]Shantanu H. Joshi, Ryan P. Cabeen, Bo Sun, Anand A. Joshi
Cortical Sulcal Atlas Construction Using a Diffeomorphic Mapping Approach. MICCAI (1) 2010: 357-366
2000 – 2009
- 2009
- [j1]Xue Hua, Suh Lee, Igor Yanovsky
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 48(4): 668-681 (2009) - 2007
- [c2]Boris Gutman, Yalin Wang
Hippocampal Surface Discrimination via Invariant Descriptors of Spherical Conformals Maps. ISBI 2007: 1316-1319 - 2006
- [c1]Boris Gutman, Yalin Wang
Hippocampal Surface Analysis Using Spherical Harmonic Function Applied to Surface Conformal Mapping. ICPR (3) 2006: 964-967
Coauthor Index
Joshua Faskowitz
aka: Joshua I. Faskowitz
aka: Joshua I. Faskowitz
[c41] [j20] [i10] [j19] [j18] [c38] [j17] [c33] [i7] [j16] [j15] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i6] [i5] [i4] [c23] [c22] [c21] [c20] [c19] [c18] [i3] [i1] [j13] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j12] [c10] [c9] [j11] [j10] [j9] [c8] [c7] [j7] [c6] [c5] [c4] [j6] [j5] [j4] [j3] [j2] [j1] [c2] [c1]
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last updated on 2024-10-07 21:25 CEST by the dblp team
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