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Owen T. Carmichael
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2020 – today
- 2024
- [j16]Maryam Naseri, Sreekrishna Ramakrishnapillai, Owen T. Carmichael:
Reproducible brain PET data analysis: easier said than done. Frontiers Neuroinformatics 18 (2024) - 2023
- [c31]Reagan Dugan, Owen T. Carmichael:
Multi-shell dMRI Estimation from Single-Shell Data via Deep Learning. MLCN@MICCAI 2023: 14-22 - [c30]Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Krystal Kirby, Arend W. A. Van Gemmert, Lydia Bazzano, Owen T. Carmichael:
Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural Networks. MLCN@MICCAI 2023: 67-78 - 2022
- [c29]Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen T. Carmichael:
Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels. MICCAI (1) 2022: 271-281 - 2021
- [j15]Owen T. Carmichael, Sreekrishna R. Pillai, Kori Murray, Preetham Shankapal, John Caldwell, Oshin Vartanian, Claire E. Berryman, J. P. Karl, Melissa Harris, Jennifer C. Rood, Stefan M. Pasiakos, Harris R. Lieberman:
Effects of testosterone administration on fMRI responses to executive function, aggressive behavior, and emotion processing tasks during severe exercise- and diet-induced energy deficit. NeuroImage 243: 118496 (2021) - [c28]Kai-Cheng Chuang, Sreekrishna Ramakrishnapillai, Lydia Bazzano, Owen T. Carmichael:
Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data. MLCN@MICCAI 2021: 113-124 - [c27]Sreekrishna Ramakrishnapillai, Harris R. Lieberman, Jennifer C. Rood, Stefan M. Pasiakos, Kori Murray, Preetham Shankapal, Owen T. Carmichael:
Constrained Learning of Task-Related and Spatially-Coherent Dictionaries from Task fMRI Data. MLCN@MICCAI 2021: 165-173 - 2020
- [j14]Cassidy M. Fiford, Carole H. Sudre, Hugh Pemberton, Phoebe Walsh, Emily N. Manning, Ian B. Malone, Jennifer Nicholas, Willem H. Bouvy, Owen T. Carmichael, Geert Jan Biessels, M. Jorge Cardoso, Josephine Barnes:
Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. Neuroinformatics 18(3): 429-449 (2020)
2010 – 2019
- 2018
- [j13]Hao Yan, Owen T. Carmichael, Debashis Paul, Jie Peng:
Estimating fiber orientation distribution from diffusion MRI with spherical needlets. Medical Image Anal. 46: 57-72 (2018) - 2017
- [j12]Mahsa Dadar, Josefina Maranzano, Karen Misquitta, Cassandra J. Anor, Vladimir S. Fonov, Maria Carmela Tartaglia, Owen T. Carmichael, Charles DeCarli, D. Louis Collins, Alzheimer's Disease Neuroimaging Initiative:
Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging. NeuroImage 157: 233-249 (2017) - [j11]Mahsa Dadar, Tharick A. Pascoal, Sarinporn Manitsirikul, Karen Misquitta, Vladimir S. Fonov, Maria Carmela Tartaglia, John Breitner, Pedro Rosa-Neto, Owen T. Carmichael, Charles DeCarli, D. Louis Collins:
Validation of a Regression Technique for Segmentation of White Matter Hyperintensities in Alzheimer's Disease. IEEE Trans. Medical Imaging 36(8): 1758-1768 (2017) - 2016
- [j10]Alexander Petersen, Jianyang Zhao, Owen T. Carmichael, Hans-Georg Müller:
Quantifying Individual Brain Connectivity with Functional Principal Component Analysis for Networks. Brain Connect. 6(7): 540-547 (2016) - 2015
- [c26]Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson:
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation. KDD 2015: 617-626 - 2014
- [c25]Chia-Tung Kuo, Peter B. Walker, Owen T. Carmichael, Ian Davidson:
Spectral Clustering for Medical Imaging. ICDM 2014: 887-892 - 2013
- [j9]Jing Xie, Evan Fletcher, Baljeet Singh, Owen T. Carmichael:
Robust measurement of individual localized changes to the aging hippocampus. Comput. Vis. Image Underst. 117(9): 1128-1137 (2013) - [j8]Owen T. Carmichael, Donald G. McLaren, Douglas Tommet, Dan Mungas, Richard N. Jones:
Coevolution of brain structures in amnestic mild cognitive impairment. NeuroImage 66: 449-456 (2013) - [j7]Evan Fletcher, Alexander Knaack, Baljeet Singh, Evan Lloyd, Evan Wu, Owen T. Carmichael, Charles DeCarli:
Combining Boundary-Based Methods With Tensor-Based Morphometry in the Measurement of Longitudinal Brain Change. IEEE Trans. Medical Imaging 32(2): 223-236 (2013) - [c24]Henry L. Phillips, Peter B. Walker, Carrie H. Kennedy, Owen T. Carmichael, Ian N. Davidson:
Guided Learning Algorithms: An Application of Constrained Spectral Partitioning to Functional Magnetic Resonance Imaging (fMRI). HCI (24) 2013: 709-716 - [c23]Alex Tsui, Devin Fenton, Phong Vuong, Joel Hass, Patrice Koehl, Nina Amenta, David Coeurjolly, Charles DeCarli, Owen T. Carmichael:
Globally Optimal Cortical Surface Matching with Exact Landmark Correspondence. IPMI 2013: 487-498 - [c22]Ian N. Davidson, Sean Gilpin, Owen T. Carmichael, Peter B. Walker:
Network discovery via constrained tensor analysis of fMRI data. KDD 2013: 194-202 - [c21]Phong Vuong, David Drucker, Christopher G. Schwarz, Evan Fletcher, Charles DeCarli, Owen T. Carmichael:
Effects of T2-weighted MRI based cranial volume measurements on studies of the aging brain. Medical Imaging: Image Processing 2013: 86693M - 2012
- [c20]Varsha Viswanath, Evan Fletcher, Baljeet Singh, Noel Smith, Debashis Paul, Jie Peng, Jun Chen, Owen T. Carmichael:
Impact of DTI smoothing on the study of brain aging. EMBC 2012: 94-97 - [c19]Evan Fletcher, Owen T. Carmichael, Charles DeCarli:
MRI non-uniformity correction through interleaved bias estimation and B-spline deformation with a template. EMBC 2012: 106-109 - [c18]Jing Xie, Owen T. Carmichael:
Brain shape regression components. EMBC 2012: 2680-2683 - [c17]Christopher G. Schwarz, Evan Fletcher, Baljeet Singh, Amy Liu, Noel Smith, Charles DeCarli, Owen T. Carmichael:
Most edges in Markov random fields for white matter hyperintensity segmentation are worthless. EMBC 2012: 2684-2687 - [c16]Evan Fletcher, Baljeet Singh, Danielle J. Harvey, Owen T. Carmichael, Charles DeCarli:
Adaptive image segmentation for robust measurement of longitudinal brain tissue change. EMBC 2012: 5319-5322 - 2011
- [c15]Christopher G. Schwarz, Alex Tsui, Evan Fletcher, Baljeet Singh, Charles DeCarli, Owen T. Carmichael:
Impact of Markov Random Field optimizer on MRI-based tissue segmentation in the aging brain. EMBC 2011: 7812-7815
2000 – 2009
- 2009
- [j6]Dan A. Alcantara, Owen T. Carmichael, Will Harcourt-Smith, Kirstin Sterner, Stephen R. Frost, Rebecca A. Dutton, Paul M. Thompson, Eric Delson, Nina Amenta:
Exploration of Shape Variation Using Localized Components Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1510-1516 (2009) - [c14]Christopher G. Schwarz, Evan Fletcher, Charles DeCarli, Owen T. Carmichael:
Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR. IPMI 2009: 239-251 - [c13]Karl R. Beutner, Gautam Prasad, Evan Fletcher, Charles DeCarli, Owen T. Carmichael:
Estimating Uncertainty in Brain Region Delineations. IPMI 2009: 479-490 - 2008
- [j5]Yi-Yu Chou, Natasha Leporé, Greig I. de Zubicaray, Owen T. Carmichael, James T. Becker, Arthur W. Toga, Paul M. Thompson:
Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease. NeuroImage 40(2): 615-630 (2008) - [j4]Peter Harris, Dan A. Alcantara, Nina Amenta, Oscar L. Lopez, Guðný Eiríksdóttir, Sigurður Sigurðsson, Vilmundur Gudnason, Sarah Madson, Paul M. Thompson, Lenore J. Launer, Owen T. Carmichael:
Localized measures of callosal atrophy are associated with late-life hypertension: AGES-Reykjavik Study. NeuroImage 43(3): 489-496 (2008) - 2007
- [c12]Dan A. Alcantara, Owen T. Carmichael, Eric Delson, Will Harcourt-Smith, Kirstin Sterner, Stephen R. Frost, Rebecca A. Dutton, Paul M. Thompson, Howard Aizenstein, Oscar L. Lopez, James T. Becker, Nina Amenta:
Localized Components Analysis. IPMI 2007: 519-531 - [c11]Leonid Teverovskiy, Owen T. Carmichael, Howard Aizenstein, Nicole A. Lazar, Yanxi Liu:
Feature-Based vs. Intensity-Based Brain Image Registration: Comprehensive Comparison Using Mutual Information. ISBI 2007: 576-579 - [c10]Yi-Yu Chou, Natasha Leporé, Greig I. de Zubicaray, Stephen E. Rose, Owen T. Carmichael, James T. Becker, Arthur W. Toga, Paul M. Thompson:
Automated 3d Mapping & Shape Analysis of the Lateral Ventricles Via Fluid Registration of Multiple Surface-Based Atlases. ISBI 2007: 1288-1291 - 2006
- [c9]Owen T. Carmichael, Paul M. Thompson, Rebecca A. Dutton, Allen Lu, Sharon E. Lee, Jessica Y. Lee, Lewis H. Kuller, Oscar L. Lopez, Howard Aizenstein, Carolyn C. Meltzer, Yanxi Liu, Arthur W. Toga, James T. Becker:
Mapping ventricular changes related to dementia and mild cognitive impairment in a large community-based cohort. ISBI 2006: 315-318 - 2005
- [j3]Owen T. Carmichael, Howard Aizenstein, Simon W. Davis, James T. Becker, Paul M. Thompson, Carolyn C. Meltzer, Yanxi Liu:
Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment. NeuroImage 27(4): 979-990 (2005) - 2004
- [j2]Owen T. Carmichael, Martial Hebert:
Shape-Based Recognition of Wiry Objects. IEEE Trans. Pattern Anal. Mach. Intell. 26(12): 1537-1552 (2004) - [c8]Owen T. Carmichael, Martial Hebert:
A Hybrid Object-Level/Pixel-Level Framework For Shape-based Recognition. BMVC 2004: 1-10 - [c7]Yanxi Liu, Leonid Teverovskiy, Owen T. Carmichael, Ron Kikinis, Martha Elizabeth Shenton, Cameron S. Carter, V. Andrew Stenger, Simon W. Davis, Howard Aizenstein, James T. Becker, Oscar L. Lopez, Carolyn C. Meltzer:
Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification. MICCAI (1) 2004: 393-401 - 2003
- [c6]Owen T. Carmichael, Martial Hebert:
Shape-based Recognition Of Wiry Objects. CVPR (2) 2003: 401-408 - 2002
- [c5]Owen T. Carmichael, Martial Hebert:
Object Recognition by a Cascade of Edge Probes. BMVC 2002: 1-10 - 2000
- [j1]William T. Freeman, Egon C. Pasztor, Owen T. Carmichael:
Learning Low-Level Vision. Int. J. Comput. Vis. 40(1): 25-47 (2000) - [c4]Daniel F. Huber, Owen T. Carmichael, Martial Hebert:
3-D Map Reconstruction from Range Data. ICRA 2000: 891-897
1990 – 1999
- 1999
- [c3]Owen T. Carmichael, Daniel F. Huber, Martial Hebert:
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition. 3DIM 1999: 358-367 - [c2]Owen T. Carmichael, Martial Hebert:
3-D Cueing: A Data Filter for Object Recognition. ICRA 1999: 944-950 - 1998
- [c1]Owen T. Carmichael, Martial Hebert:
Unconstrained registration of large 3D point sets for complex model building. IROS 1998: 360-367
Coauthor Index
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last updated on 2024-10-17 21:31 CEST by the dblp team
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