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ORCIDP. Thomas Fletcher
Tom Fletcher
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- affiliation: University of Utah, Scientific Computing and Imaging Institute, Salt Lake, USA
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2020 – today
- 2023
[i15]Aman Shrivastava, P. Thomas Fletcher:
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models. CoRR abs/2303.11477 (2023)- 2022
- [c81]Yinzhu Jin, Jonathan C. Garneau, P. Thomas Fletcher:
Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction. ISBI 2022: 1-5 - [c80]Tyler A. Spears
, P. Thomas Fletcher:
Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging. CDMRI@MICCAI 2022: 14-25 - [e12]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13431, Springer 2022, ISBN 978-3-031-16430-9 [contents] - [e11]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13432, Springer 2022, ISBN 978-3-031-16433-0 [contents] - [e10]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13433, Springer 2022, ISBN 978-3-031-16436-1 [contents] - [e9]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13434, Springer 2022, ISBN 978-3-031-16439-2 [contents] - [e8]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13435, Springer 2022, ISBN 978-3-031-16442-2 [contents] - [e7]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13436, Springer 2022, ISBN 978-3-031-16445-3 [contents] - [e6]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13437, Springer 2022, ISBN 978-3-031-16448-4 [contents] - [e5]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII. Lecture Notes in Computer Science 13438, Springer 2022, ISBN 978-3-031-16451-4 [contents] - [i14]Haocheng Dai, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Deep Learning the Shape of the Brain Connectome. CoRR abs/2203.06122 (2022) - 2021
- [c79]Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Structural Connectome Atlas Construction in the Space of Riemannian Metrics. IPMI 2021: 291-303 - [i13]Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Structural Connectome Atlas Construction in the Space of Riemannian Metrics. CoRR abs/2103.05730 (2021) - [i12]Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics. CoRR abs/2109.09808 (2021) - 2020
- [j29]Matthew Coombes, Tom Fletcher, Wen-Hua Chen, Cunjia Liu:
Decomposition-based mission planning for fixed-wing UAVs surveying in wind. J. Field Robotics 37(3): 440-465 (2020) - [c78]Line Kühnel, Tom Fletcher, Sarang C. Joshi, Stefan Sommer:
Latent Space Geometric Statistics. ICPR Workshops (6) 2020: 163-178 - [i11]Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Tom Fletcher:
Geometry matters: Exploring language examples at the decision boundary. CoRR abs/2010.07212 (2020)
2010 – 2019
- 2019
- [j28]Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang:
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. Brain Connect. 9(1): 13-21 (2019) - [j27]Miaomiao Zhang, P. Thomas Fletcher:
Fast Diffeomorphic Image Registration via Fourier-Approximated Lie Algebras. Int. J. Comput. Vis. 127(1): 61-73 (2019) - [c77]Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen:
The Adversarial Attack and Detection under the Fisher Information Metric. AAAI 2019: 5869-5876 - [c76]Kristen M. Campbell, Jeffrey S. Anderson, P. Thomas Fletcher:
Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance. MICCAI (4) 2019: 102-110 - [c75]Archit Rathore, Sourabh Palande, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher, Bei Wang:
Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale. MICCAI (3) 2019: 736-744 - [e4]Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - 2018
- [j26]Matthew Coombes, Tom Fletcher, Wen-Hua Chen, Cunjia Liu:
Optimal Polygon Decomposition for UAV Survey Coverage Path Planning in Wind. Sensors 18(7): 2132 (2018) - [c74]Hang Shao, Abhishek Kumar, P. Thomas Fletcher:
The Riemannian Geometry of Deep Generative Models. CVPR Workshops 2018: 315-323 - [c73]Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig:
Fully convolutional structured LSTM networks for joint 4D medical image segmentation. ISBI 2018: 1104-1108 - [c72]Eleanor Wong, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher:
Riemannian Regression and Classification Models of Brain Networks Applied to Autism. CNI@MICCAI 2018: 78-87 - [c71]Kristen M. Campbell, P. Thomas Fletcher:
Nonparametric Aggregation of Geodesic Trends for Longitudinal Data Analysis. ShapeMI@MICCAI 2018: 232-243 - [i10]Line Kühnel, Tom Fletcher, Sarang C. Joshi, Stefan Sommer:
Latent Space Non-Linear Statistics. CoRR abs/1805.07632 (2018) - [i9]Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich:
Deep Diffeomorphic Normalizing Flows. CoRR abs/1810.03256 (2018) - [i8]Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen:
The Adversarial Attack and Detection under the Fisher Information Metric. CoRR abs/1810.03806 (2018) - [i7]Line Kühnel, Alexis Arnaudon, Tom Fletcher, Stefan Sommer:
Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. CoRR abs/1812.05537 (2018) - 2017
- [c70]Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf:
Local Group Invariant Representations via Orbit Embeddings. AISTATS 2017: 1225-1235 - [c69]Prasanna Muralidharan, Jacob D. Hinkle, P. Thomas Fletcher:
A map estimation algorithm for Bayesian polynomial regression on riemannian manifolds. ICIP 2017: 215-219 - [c68]Greg M. Fleishman, P. Thomas Fletcher, Paul M. Thompson:
Symmetric Interleaved Geodesic Shooting in Diffeomorphisms. IPMI 2017: 583-593 - [c67]Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang:
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. CNI@MICCAI 2017: 98-107 - [c66]Kristen M. Campbell, P. Thomas Fletcher:
Efficient Parallel Transport in the Group of Diffeomorphisms via Reduction to the Lie Algebra. GRAIL/MFCA/MICGen@MICCAI 2017: 186-198 - [c65]Abhishek Kumar, Prasanna Sattigeri, Tom Fletcher:
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference. NIPS 2017: 5534-5544 - [e3]M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer:
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - [i6]Abhishek Kumar, Prasanna Sattigeri, P. Thomas Fletcher:
Improved Semi-supervised Learning with GANs using Manifold Invariances. CoRR abs/1705.08850 (2017) - [i5]Hang Shao, Abhishek Kumar, P. Thomas Fletcher:
The Riemannian Geometry of Deep Generative Models. CoRR abs/1711.08014 (2017) - 2016
- [j25]Douglas C. Dean III, Brittany G. Travers, Nagesh Adluru, Do P. M. Tromp, Daniel J. Destiche, Danica Samsin, Molly B. Prigge, Brandon A. Zielinski, P. Thomas Fletcher, Jeffrey S. Anderson, Alyson L. Froehlich, Erin D. Bigler, Nicholas T. Lange, Janet E. Lainhart, Andrew L. Alexander:
Investigating the Microstructural Correlation of White Matter in Autism Spectrum Disorder. Brain Connect. 6(5): 415-433 (2016) - [j24]Ipek Oguz, Joshua E. Cates, Manasi Datar, Beatriz Paniagua, P. Thomas Fletcher, Clement Vachet, Martin Styner, Ross T. Whitaker:
Entropy-based particle correspondence for shape populations. Int. J. Comput. Assist. Radiol. Surg. 11(7): 1221-1232 (2016) - [j23]Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher:
Hierarchical Geodesic Models in Diffeomorphisms. Int. J. Comput. Vis. 117(1): 70-92 (2016) - [c64]Yang Gao, Miaomiao Zhang, Karen Grewen, P. Thomas Fletcher, Guido Gerig:
Image registration and segmentation in longitudinal MRI using temporal appearance modeling. ISBI 2016: 629-632 - [c63]Prasanna Muralidharan, James Fishbaugh, Eun Young Kim, Hans J. Johnson, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher:
Bayesian covariate selection in mixed-effects models for longitudinal shape analysis. ISBI 2016: 656-659 - [c62]Eleanor Wong, Sourabh Palande, Bei Wang, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher:
Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior. ISBI 2016: 1303-1306 - [c61]Justin Galvis, Adam Mezher, Anjanibhargavi Ragothaman, Julio Villalon-Reina, P. Thomas Fletcher, Paul M. Thompson, Gautam Prasad:
Effects of EPI distortion correction pipelines on the connectome in Parkinson's Disease. Medical Imaging: Image Processing 2016: 97843D - [i4]Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf:
Local Group Invariant Representations via Orbit Embeddings. CoRR abs/1612.01988 (2016) - 2015
- [j22]Miaomiao Zhang, P. Thomas Fletcher:
Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability. Medical Image Anal. 25(1): 37-44 (2015) - [c60]Boris A. Gutman, P. Thomas Fletcher, Manuel Jorge Cardoso, Greg M. Fleishman, Marco Lorenzi, Paul M. Thompson, Sébastien Ourselin:
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. IPMI 2015: 205-218 - [c59]Miaomiao Zhang, P. Thomas Fletcher:
Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration. IPMI 2015: 249-260 - [c58]Greg M. Fleishman, Boris A. Gutman, P. Thomas Fletcher, Paul M. Thompson:
Simultaneous Longitudinal Registration with Group-Wise Similarity Prior. IPMI 2015: 746-757 - [c57]Michelle Hromatka, Miaomiao Zhang, Greg M. Fleishman, Boris Gutman, Neda Jahanshad, Paul M. Thompson, P. Thomas Fletcher:
A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases. MICCAI (2) 2015: 372-379 - [c56]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 - [e2]Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec:
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8682, Springer 2015, ISBN 978-3-319-14904-2 [contents] - 2014
- [j21]Jacob D. Hinkle, P. Thomas Fletcher, Sarang C. Joshi:
Intrinsic Polynomials for Regression on Riemannian Manifolds. J. Math. Imaging Vis. 50(1-2): 32-52 (2014) - [j20]Xiang Hao, Kristen Zygmunt, Ross T. Whitaker, P. Thomas Fletcher:
Improved segmentation of white matter tracts with adaptive Riemannian metrics. Medical Image Anal. 18(1): 161-175 (2014) - [j19]Nikhil Singh, P. Thomas Fletcher, J. Samuel Preston, Richard D. King, J. S. Marron, Michael W. Weiner, Sarang C. Joshi:
Quantifying anatomical shape variations in neurological disorders. Medical Image Anal. 18(3): 616-633 (2014) - [j18]Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, P. Thomas Fletcher:
A functional network estimation method of resting-state fMRI using a hierarchical Markov random field. NeuroImage 100: 520-534 (2014) - [c55]Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher:
An efficient parallel algorithm for hierarchical geodesic models in diffeomorphisms. ISBI 2014: 341-344 - [c54]Bo Wang, Wei Liu, Marcel Prastawa, Andrei Irimia, Paul M. Vespa, John D. Van Horn, P. Thomas Fletcher, Guido Gerig:
4D active cut: An interactive tool for pathological anatomy modeling. ISBI 2014: 529-532 - [c53]Anuja Sharma, P. Thomas Fletcher, John H. Gilmore, Maria L. Escolar, Aditya Gupta, Martin Styner, Guido Gerig:
Parametric regression scheme for distributions: Analysis of DTI fiber tract diffusion changes in early brain development. ISBI 2014: 559-562 - [c52]Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis. MICCAI (3) 2014: 9-16 - [c51]Neda Sadeghi, P. Thomas Fletcher, Marcel Prastawa, John H. Gilmore, Guido Gerig:
Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI. MICCAI (3) 2014: 33-40 - [c50]Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher:
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. MICCAI (3) 2014: 49-56 - [c49]Miaomiao Zhang, P. Thomas Fletcher:
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration. MICCAI (3) 2014: 121-128 - 2013
- [j17]P. Thomas Fletcher:
Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds. Int. J. Comput. Vis. 105(2): 171-185 (2013) - [j16]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, Jason Wolff, John H. Gilmore, Guido Gerig:
Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain. NeuroImage 68: 236-247 (2013) - [c48]Benjamin Berkels, P. Thomas Fletcher, Behrend Heeren, Martin Rumpf, Benedikt Wirth:
Discrete Geodesic Regression in Shape Space. EMMCVPR 2013: 108-122 - [c47]Eleanor Wong, Suyash P. Awate, P. Thomas Fletcher:
Adaptive Sparsity in Gaussian Graphical Models. ICML (1) 2013: 311-319 - [c46]Miaomiao Zhang, Nikhil Singh, P. Thomas Fletcher:
Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration. IPMI 2013: 37-48 - [c45]Xiang Hao, P. Thomas Fletcher:
Joint Fractional Segmentation and Multi-tensor Estimation in Diffusion MRI. IPMI 2013: 340-351 - [c44]Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher:
A Hierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis. IPMI 2013: 560-571 - [c43]Xinghua Zhu, Yaniv Gur, Wenping Wang, P. Thomas Fletcher:
Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model. IPMI 2013: 644-655 - [c42]Anuja Sharma, P. Thomas Fletcher, John H. Gilmore, Maria L. Escolar, Avantika Vardhan, Aditya Gupta, Martin Styner, Guido Gerig:
Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment. ISBI 2013: 684-687 - [c41]Nikhil Singh, Jacob D. Hinkle, Sarang C. Joshi, P. Thomas Fletcher:
A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction. ISBI 2013: 1219-1222 - [c40]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, Clement Vachet, Bo Wang, John H. Gilmore, Guido Gerig:
Multivariate modeling of longitudinal MRI in early brain development with confidence measures. ISBI 2013: 1400-1403 - [c39]Miaomiao Zhang, P. Thomas Fletcher:
Probabilistic Principal Geodesic Analysis. NIPS 2013: 1178-1186 - [p4]P. Thomas Fletcher:
Geodesic Regression and Its Application to Shape Analysis. Innovations for Shape Analysis, Models and Algorithms 2013: 35-52 - 2012
- [c38]Prasanna Muralidharan, P. Thomas Fletcher:
Sasaki metrics for analysis of longitudinal data on manifolds. CVPR 2012: 1027-1034 - [c37]Jacob D. Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang C. Joshi:
Polynomial Regression on Riemannian Manifolds. ECCV (3) 2012: 1-14 - [c36]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, John H. Gilmore, Weili Lin, Guido Gerig:
Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development. ISBI 2012: 1507-1510 - [c35]Manasi Datar, Prasanna Muralidharan, Abhishek Kumar, Sylvain Gouttard, Joseph Piven, Guido Gerig, Ross T. Whitaker, P. Thomas Fletcher:
Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy. STIA 2012: 76-87 - [c34]Nikhil Singh, Angela Y. Wang, Preethi Sankaranarayanan, P. Thomas Fletcher, Sarang C. Joshi:
Genetic, Structural and Functional Imaging Biomarkers for Early Detection of Conversion from MCI to AD. MICCAI (1) 2012: 132-140 - [c33]Wei Liu, Suyash P. Awate, P. Thomas Fletcher:
Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields. MICCAI (3) 2012: 189-196 - [e1]Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer:
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings. Lecture Notes in Computer Science 7570, Springer 2012, ISBN 978-3-642-33554-9 [contents] - [i3]Jacob D. Hinkle, Prasanna Muralidharan, P. Thomas Fletcher, Sarang C. Joshi:
Polynomial Regression on Riemannian Manifolds. CoRR abs/1201.2395 (2012) - [i2]Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate:
Hierarchical Graphical Models for. CoRR abs/1212.5720 (2012) - 2011
- [c32]Xiang Hao, Ross T. Whitaker, P. Thomas Fletcher:
Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter. IPMI 2011: 13-24 - [c31]Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, Deborah A. Yurgelun-Todd, P. Thomas Fletcher:
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI. MLMI 2011: 59-66 - [c30]P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian:
Horoball Hulls and Extents in Positive Definite Space. WADS 2011: 386-398 - 2010
- [j15]Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bullitt, Sarang C. Joshi:
Population Shape Regression from Random Design Data. Int. J. Comput. Vis. 90(2): 255-266 (2010) - [j14]Samuel Gerber, Tolga Tasdizen, P. Thomas Fletcher, Sarang C. Joshi, Ross T. Whitaker:
Manifold modeling for brain population analysis. Medical Image Anal. 14(5): 643-653 (2010) - [j13]P. Thomas Fletcher, Ross T. Whitaker, Ran Tao, Molly B. DuBray, Alyson L. Froehlich, Caitlin Ravichandran, Andrew L. Alexander, Erin D. Bigler, Nicholas T. Lange, Janet E. Lainhart:
Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autism. NeuroImage 51(3): 1117-1125 (2010) - [c29]Wei Liu, Peihong Zhu, Jeffrey S. Anderson, Deborah A. Yurgelun-Todd, P. Thomas Fletcher:
Spatial Regularization of Functional Connectivity Using High-Dimensional Markov Random Fields. MICCAI (2) 2010: 363-370 - [c28]Nikhil Singh, P. Thomas Fletcher, J. Samuel Preston, Linh K. Ha, Richard D. King, James Stephen Marron, Michael Wiener, Sarang C. Joshi:
Multivariate Statistical Analysis of Deformation Momenta Relating Anatomical Shape to Neuropsychological Measures. MICCAI (3) 2010: 529-537
2000 – 2009
- 2009
- [j12]Elizabeth Jurrus, Melissa Hardy, Tolga Tasdizen, P. Thomas Fletcher, Pavel Koshevoy, Chi-Bin Chien, Winfried Denk, Ross T. Whitaker:
Axon tracking in serial block-face scanning electron microscopy. Medical Image Anal. 13(1): 180-188 (2009) - [j11]Casey Goodlett, P. Thomas Fletcher, John H. Gilmore, Guido Gerig:
Group analysis of DTI fiber tract statistics with application to neurodevelopment. NeuroImage 45(1): S133-S142 (2009) - [j10]P. Thomas Fletcher, Suresh Venkatasubramanian, Sarang C. Joshi:
The geometric median on Riemannian manifolds with application to robust atlas estimation. NeuroImage 45(1): S143-S152 (2009) - [c27]Linh K. Ha, Jens H. Krüger, P. Thomas Fletcher, Sarang C. Joshi, Cláudio T. Silva:
Fast Parallel Unbiased Diffeomorphic Atlas Construction on Multi-Graphics Processing Units. EGPGV@Eurographics 2009: 41-48 - [c26]Ipek Oguz, Marc Niethammer, Joshua E. Cates, Ross T. Whitaker, P. Thomas Fletcher, Clement Vachet, Martin Styner:
Cortical Correspondence with Probabilistic Fiber Connectivity. IPMI 2009: 651-663 - [c25]Ran Tao, P. Thomas Fletcher, Samuel Gerber, Ross T. Whitaker:
A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI. IPMI 2009: 664-675 - [c24]Jacob D. Hinkle, P. Thomas Fletcher, Brian Wang, Bill Salter, Sarang C. Joshi:
4D MAP Image Reconstruction Incorporating Organ Motion. IPMI 2009: 676-687 - [c23]Manasi Datar, Joshua E. Cates, P. Thomas Fletcher, Sylvain Gouttard, Guido Gerig, Ross T. Whitaker:
Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging. MICCAI (1) 2009: 167-174 - [i1]P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian:
Computing Hulls And Centerpoints In Positive Definite Space. CoRR abs/0912.1580 (2009) - 2008
- [j9]Erik B. Dam, P. Thomas Fletcher, Stephen M. Pizer:
Automatic shape model building based on principal geodesic analysis bootstrapping. Medical Image Anal. 12(2): 136-151 (2008) - [c22]P. Thomas Fletcher, Suresh Venkatasubramanian, Sarang C. Joshi:
Robust statistics on Riemannian manifolds via the geometric median. CVPR 2008 - [c21]