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ORCIDPaul M. Thompson
Paul Thompson 0001
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- affiliation: University of California, Los Angeles, USA
Other persons with the same name
- Paul Thompson — disambiguation page
- Paul Thompson 0002 — University of Manchester, National Centre for Text Mining, UK
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2020 – today
- 2021
[j197]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. Medical Image Anal. 70: 102009 (2021)- [j196]Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40(8): 2030-2041 (2021) - [c282]Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad:
Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings. ISBI 2021: 836-839 - [c281]Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson:
Improved Brain Age Estimation With Slice-Based Set Networks. ISBI 2021: 840-844 - [c280]Eleonora Ficiarà, Valentino Crespi, Shruti Prashant Gadewar, Sophia I. Thomopoulos, Joshua Boyd, Paul M. Thompson, Neda Jahanshad, Fabrizio Pizzagalli:
Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model. ISBI 2021: 1145-1149 - [c279]Shruti Gadewar, Alyssa H. Zhu, Sophia I. Thomopoulos, Zhuocheng Li, Iyad Ba Gari, Piyush Maiti, Paul M. Thompson, Neda Jahanshad:
Region Specific Automatic Quality Assurance For MRI-Derived Cortical Segmentations. ISBI 2021: 1288-1291 - [c278]Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang:
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) 2021: 508-518 - [c277]Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg:
Membership Inference Attacks on Deep Regression Models for Neuroimaging. MIDL 2021: 228-251 - [i19]Umang Gupta, Pradeep Lam, Greg Ver Steeg, Paul Thompson:
Improved Brain Age Estimation with Slice-based Set Networks. CoRR abs/2102.04438 (2021) - [i18]Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul Thompson:
Scaling Neuroscience Research using Federated Learning. CoRR abs/2102.08440 (2021) - [i17]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) - [i16]Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg:
Membership Inference Attacks on Deep Regression Models for Neuroimaging. CoRR abs/2105.02866 (2021) - [i15]Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR abs/2108.03437 (2021) - 2020
- [j195]Anvar Kurmukov, Ayagoz Mussabaeva, Yulia Denisova, Daniel Moyer, Neda Jahanshad, Paul M. Thompson, Boris A. Gutman:
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. Brain Connect. 10(4): 183-194 (2020) - [j194]Meral A. Tubi, Franklin W. Feingold, Deydeep Kothapalli, Evan T. Hare, Kevin S. King, Paul M. Thompson, Meredith N. Braskie:
White matter hyperintensities and their relationship to cognition: Effects of segmentation algorithm. NeuroImage 206 (2020) - [j193]Brittany L. Mitchell, Gabriel Cuéllar-Partida, Katrina L. Grasby, Adrian I. Campos, Lachlan T. Strike, Liang-Dar Hwang, Aysu Okbay, Paul M. Thompson, Sarah E. Medland, Nicholas G. Martin, Margaret J. Wright, Miguel E. Renteria:
Educational attainment polygenic scores are associated with cortical total surface area and regions important for language and memory. NeuroImage 212: 116691 (2020) - [j192]Liza van Eijk, Narelle K. Hansell, Lachlan T. Strike, Baptiste Couvy-Duchesne, Greig I. de Zubicaray, Paul M. Thompson, Katie L. McMahon, Brendan P. Zietsch, Margaret J. Wright:
Region-specific sex differences in the hippocampus. NeuroImage 215: 116781 (2020) - [j191]Andrea Palk, Judy Illes, Paul M. Thompson, Dan J. Stein:
Ethical issues in global neuroimaging genetics collaborations. NeuroImage 221: 117208 (2020) - [j190]Paul M. Thompson:
Correction/Erratum. NeuroImage 223: 117312 (2020) - [j189]Li Shen, Paul M. Thompson:
Brain Imaging Genomics: Integrated Analysis and Machine Learning. Proc. IEEE 108(1): 125-162 (2020) - [c276]Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang:
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. ISBI 2020: 1-5 - [c275]Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD 2020: 1828-1838 - [c274]Ling-Li Zeng, Christopher R. K. Ching, Zvart Abaryan, Sophia I. Thomopoulos, Kai Gao, Alyssa H. Zhu, Anjanibhargavi Ragothaman, Faisal Rashid, Marc Harrison, Lauren E. Salminen, Brandalyn C. Riedel, Neda Jahanshad, Dewen Hu, Paul M. Thompson:
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport. MLCN/RNO-AI@MICCAI 2020: 169-176 - [c273]Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang:
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) 2020: 613-624 - [i14]Daniel Moyer, Greg Ver Steeg, Paul M. Thompson:
Overview of Scanner Invariant Representations. CoRR abs/2006.00115 (2020) - [i13]Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang:
Deep Representation Learning For Multimodal Brain Networks. CoRR abs/2007.09777 (2020)
2010 – 2019
- 2019
- [j188]Artemis Zavaliangos-Petropulu, Talia M. Nir, Sophia I. Thomopoulos, Robert I. Reid, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack Jr., Michael W. Weiner, Neda Jahanshad, Paul M. Thompson:
Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3. Frontiers Neuroinformatics 13: 2 (2019) - [j187]Peter V. Kochunov, Binish Patel, Habib Ganjgahi, Brian Donohue, Meghann Ryan, L. Elliot Hong, Xu Chen, Bhim M. Adhikari, Neda Jahanshad, Paul M. Thompson, Dennis van 't Ent, Anouk den Braber, Eco J. C. de Geus, Rachel M. Brouwer, Dorret I. Boomsma, Hilleke E. Hulshoff Pol, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, Thomas E. Nichols:
Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Frontiers Neuroinformatics 13: 16 (2019) - [j186]Neda Jahanshad, Joshua Faskowitz, Gennady V. Roshchupkin, Derrek P. Hibar, Boris A. Gutman, Nicholas J. Tustison, Hieab H. Adams, Wiro J. Niessen, Meike W. Vernooij, Mohammad Arfan Ikram, Marcel P. Zwiers, Alejandro Arias-Vasquez, Barbara Franke, Jennifer L. Kroll, Benson Mwangi, Jair C. Soares, Alex Ing, Sylvane Desrivières, Gunter Schumann, Narelle K. Hansell, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson:
Multi-Site Meta-Analysis of Morphometry. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1508-1514 (2019) - [c272]Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI 2019: 21-35 - [c271]Wen Zhang, Liang Mi, Paul M. Thompson, Yalin Wang:
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. IPMI 2019: 617-630 - [c270]Li Wang, Paul M. Thompson, Dajiang Zhu:
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. IPMI 2019: 656-668 - [c269]Emily L. Dennis, Ananya Singh, Conor K. Corbin, Neda Jahanshad, Tiffany C. Ho, Lucy S. King, Lauren R. Borchers, Kathryn L. Humphreys, Paul M. Thompson, Ian H. Gotlib:
Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity. ISBI 2019: 126-130 - [c268]Talia M. Nir, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Artemis Zavaliangos-Petropulu, Emily L. Dennis, Robert I. Reid, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson:
Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3. ISBI 2019: 173-177 - [c267]Santiago S. Silva R., Boris A. Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. ISBI 2019: 270-274 - [c266]Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan:
Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. MBIA/MFCA@MICCAI 2019: 30-38 - [c265]Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang:
Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. MBIA/MFCA@MICCAI 2019: 84-92 - [c264]Qifan Yang, Sophia I. Thomopoulos, Linda Ding, Wesley Surento, Paul M. Thompson, Neda Jahanshad:
Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer's Disease. PRIME@MICCAI 2019: 160-167 - [c263]Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang:
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) 2019: 214-222 - [e1]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] - [i12]Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson:
Scanner Invariant Representations for Diffusion MRI Harmonization. CoRR abs/1904.05375 (2019) - 2018
- [j185]Premika S. W. Boedhoe, Martijn W. Heymans, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Alan Anticevic, Paul D. Arnold, Marcelo C. Batistuzzo, Francesco Benedetti, Jan Carl Beucke, Irene Bollettini, Anushree Bose, Silvia Brem, Anna Calvo, Rosa Calvo, Yuqi Cheng, Kang Ik Kevin Cho, Valentina Ciullo, Sara Dallaspezia, Damiaan Denys, Jamie D. Feusner, Kate Dimond Fitzgerald, Jean-Paul Fouche, Egill A. Fridgeirsson, Patricia Gruner, Gregory L. Hanna, Derrek P. Hibar, Marcelo Queiroz Hoexter, Hao Hu, Chaim Huyser, Neda Jahanshad, Anthony James, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Jun Soo Kwon, Luisa Lazaro, Christine Lochner, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José M. Menchón, Luciano Minuzzi, Astrid Morer, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Seiji Nishida, Erika L. Nurmi, Joseph O'Neill, John Piacentini, Fabrizio Piras, Federica Piras, Y. C. Janardhan Reddy, Tim Jonas Reess, Yuki Sakai, João R. Sato, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Michael C. Stevens, Philip R. Szeszko, David F. Tolin, Guido A. van Wingen, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Je-Yeon Yun, ENIGMA-OCD Working-Group, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel, Jos W. R. Twisk:
An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group. Frontiers Neuroinformatics 12: 102 (2018) - [j184]Alexander Olsen, Emily L. Dennis, Kari Anne Indredavik Evensen, Ingrid Marie Husby Hollund, Gro C. Christensen Løhaugen, Paul M. Thompson, Ann-Mari Brubakk, Live Eikenes, Asta K. Håberg:
Preterm birth leads to hyper-reactive cognitive control processing and poor white matter organization in adulthood. NeuroImage 167: 419-428 (2018) - [j183]Fabian Corlier, George W. Hafzalla, Joshua Faskowitz, Lewis H. Kuller, James T. Becker, Oscar L. Lopez, Paul M. Thompson, Meredith N. Braskie:
Systemic inflammation as a predictor of brain aging: Contributions of physical activity, metabolic risk, and genetic risk. NeuroImage 172: 118-129 (2018) - [j182]Marco Lorenzi, André Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek P. Hibar, Neda Jahanshad, Jonathan M. Schott, Daniel C. Alexander, Paul M. Thompson, Sébastien Ourselin:
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) - [j181]Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian, Paul M. Thompson:
Visual Analysis of Brain Networks Using Sparse Regression Models. ACM Trans. Knowl. Discov. Data 12(1): 5:1-5:30 (2018) - [c262]Vikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson:
FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain. ISBI 2018: 708-711 - [c261]Emily L. Dennis, Elisabeth A. Wilde, Mary R. Newsome, Randall S. Scheibel, Maya Troyanskaya, Carmen Velez, Benjamin S. C. Wade, Ann Marie Drennon, Gerald E. York, Erin D. Bigler, Tracy J. Abildskov, Brian A. Taylor, Carlos A. Jaramillo, Blessen Eapen, Heather Belanger, Vikash Gupta, Rajendra Morey, Courtney Haswell, Harvey S. Levin, Sidney R. Hinds, William C. Walker, Paul M. Thompson, David F. Tate:
ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. ISBI 2018: 1386-1389 - [c260]Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI 2018: 1406-1410 - [c259]Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. ShapeMI@MICCAI 2018: 268-276 - [c258]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [c257]Bhim M. Adhikari, Neda Jahanshad, Dinesh Shukla, David C. Glahn, John Blangero, Richard C. Reynolds, Robert W. Cox, Els Fieremans, Jelle Veraart, Dmitry S. Novikov, Thomas E. Nichols, L. Elliot Hong, Paul M. Thompson, Peter V. Kochunov:
Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline. PSB 2018: 307-318 - [i11]Daniel Moyer, Paul M. Thompson, Greg Ver Steeg:
Measures of Tractography Convergence. CoRR abs/1806.04634 (2018) - [i10]Santiago S. Silva R., 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
- [j180]Guohao Zhang, Peter V. Kochunov, L. Elliot Hong, Sinead Kelly, Christopher D. Whelan, Neda Jahanshad, Paul M. Thompson, Jian Chen:
ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis. BMC Bioinform. 18(6): 17-29 (2017) - [j179]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
Continuous representations of brain connectivity using spatial point processes. Medical Image Anal. 41: 32-39 (2017) - [j178]Chenyang Tao, Thomas E. Nichols, Xue Hua, Christopher R. K. Ching, Edmund T. Rolls, Paul M. Thompson, Jianfeng Feng:
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. NeuroImage 144: 35-57 (2017) - [j177]Paul M. Thompson, Ole A. Andreassen, Alejandro Arias-Vasquez, Carrie E. Bearden, Premika S. Boedhoe, Rachel M. Brouwer, Randy L. Buckner, Jan K. Buitelaar, Kazima B. Bulayeva, Dara M. Cannon, Ronald A. Cohen, Patricia J. Conrod, Anders M. Dale, Ian J. Deary, Emily L. Dennis, Marcel A. de Reus, Sylvane Desrivières, Danai Dima, Gary Donohoe, Simon E. Fisher, Jean-Paul Fouche, et al.:
ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. NeuroImage 145: 389-408 (2017) - [j176]Junping Wang, Meredith N. Braskie, George W. Hafzalla, Joshua Faskowitz, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Chunshui Yu, Paul M. Thompson:
Relationship of a common OXTR gene variant to brain structure and default mode network function in healthy humans. NeuroImage 147: 500-506 (2017) - [j175]Susan D. Shenkin, Cyril R. Pernet, Thomas E. Nichols, Jean-Baptiste Poline, Paul M. Matthews, Aad van der Lugt, Clare E. Mackay, Linda J. Lanyon, Bernard Mazoyer, James P. Boardman, Paul M. Thompson, Nick C. Fox, Daniel S. Marcus, Aziz Sheikh, Simon R. Cox, Devasuda Anblagan, Dominic Job, David Alexander Dickie, David Rodriguez, Joanna M. Wardlaw:
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. NeuroImage 153: 399-409 (2017) - [j174]Chao Huang, Paul M. Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
FGWAS: Functional genome wide association analysis. NeuroImage 159: 107-121 (2017) - [j173]Vyacheslav Karolis, Seán Froudist Walsh, Jasmin Kroll, Philip J. Brittain, Chieh-En Tseng, Kie Woo Nam, Antje A. Reinders, Robin M. Murray, Steven C. R. Williams, Paul M. Thompson, Chiara Nosarti:
Volumetric grey matter alterations in adolescents and adults born very preterm suggest accelerated brain maturation. NeuroImage 163: 379-389 (2017) - [j172]Benjamin S. C. Wade, Shantanu H. Joshi, Boris A. Gutman, Paul M. Thompson:
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) - [j171]Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu, Paul M. Thompson:
Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation. IEEE Trans. Vis. Comput. Graph. 23(1): 181-190 (2017) - [c256]Nikita Mokrov, Maxim Panov, Boris A. Gutman, Joshua I. Faskowitz, Neda Jahanshad, Paul M. Thompson:
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification. COMPLEX NETWORKS 2017: 1261-1270 - [c255]Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI 2017: 184-197 - [c254]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 - [c253]Greg M. Fleishman, P. Thomas Fletcher, Paul M. Thompson:
Symmetric Interleaved Geodesic Shooting in Diffeomorphisms. IPMI 2017: 583-593 - [c252]Emily L. Dennis, Faisal Rashid, Joshua Faskowitz, Yan Jin, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Ian B. Hickie, Margaret J. Wright, Neda Jahanshad, Paul M. Thompson:
Mapping age effects along fiber tracts in young adults. ISBI 2017: 101-104 - [c251]Emily L. Dennis, Faisal Rashid, Neda Jahanshad, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson:
A network approach to examining injury severity in pediatric TBI. ISBI 2017: 105-108 - [c250]Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang:
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI 2017: 446-450 - [c249]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson:
Structural connectome validation using pairwise classification. ISBI 2017: 451-455 - [c248]Brandalyn C. Riedel, Neda Jahanshad, Paul M. Thompson:
Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in Autism. ISBI 2017: 460-463 - [c247]Benjamin S. C. Wade, Jing Sui, Stephanie Njau, Amber M. Leaver, Megha Vasvada, Boris A. Gutman, Paul M. Thompson, Randall Espinoza, Roger P. Woods, Christopher C. Abbott, Katherine L. Narr, Shantanu H. Joshi:
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. ISBI 2017: 502-506 - [c246]Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang:
Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. ISBI 2017: 520-524 - [c245]Greg M. Fleishman, Paul M. Thompson:
Adaptive gradient descent optimization of initial momenta for geodesic shooting in diffeomorphisms. ISBI 2017: 868-872 - [c244]Greg M. Fleishman, Paul M. Thompson:
The impact of matching functional on atrophy measurement from geodesic shooting in diffeomorphisms. ISBI 2017: 873-877 - [c243]George W. Hafzalla, Anjanibhargavi Ragothaman, Joshua Faskowitz, Neda Jahanshad, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Meredith N. Braskie, Gautam Prasad, Paul M. Thompson:
A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines. ISBI 2017: 961-965 - [c242]Boris A. Gutman, Fabrizio Pizzagalli, Neda Jahanshad, Margaret J. Wright, Katie L. McMahon, Greig I. de Zubicaray, Paul M. Thompson:
Approximating principal genetic components of subcortical shape. ISBI 2017: 1226-1230 - [c241]Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou:
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. KDD 2017: 1155-1164 - [c240]Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov:
Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI 2017: 3-11 - [c239]Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. MICCAI (3) 2017: 159-167 - [c238]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
Product Space Decompositions for Continuous Representations of Brain Connectivity. MLMI@MICCAI 2017: 353-361 - [c237]Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. MLMI@MICCAI 2017: 371-378 - [c236]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 - [c235]Vikash Gupta, Sophia I. Thomopoulos, Faisal Rashid, Paul M. Thompson:
FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers. MICCAI (1) 2017: 548-555 - [c234]Mihyun Jang, Tejal Patted, Yolanda Gil, Daniel Garijo, Varun Ratnakar, Jie Ji, Prince Wang, Aggie McMahon, Paul M. Thompson, Neda Jahanshad:
Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata. SemSci@ISWC 2017: 63-70 - [c233]Emily L. Dennis, Faisal Rashid, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson:
Altered network topology in pediatric traumatic brain injury. SIPAIM 2017: 105720P - [c232]Faisal M. Rashid, Emily L. Dennis, Julio E. Villalon-Reina, Yan Jin, Jeffrey D. Lewis, Gerald E. York, Paul M. Thompson, David F. Tate:
Examination of corticothalamic fiber projections in United States service members with mild traumatic brain injury. SIPAIM 2017: 105720D - [c231]Mark S. Shiroishi, Vikash Gupta, Bavrina Bigjahan, Steven Y. Cen, Faisal Rashid, Darryl H. Hwang, Alexander Lerner, Orest B. Boyko, Chia-Shang Jason Liu, Meng Law, Paul M. Thompson, Neda Jahanshad:
Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans. SIPAIM 2017: 105720G - [i9]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) - [i8]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) - [i7]Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR abs/1704.08383 (2017) - [i6]Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. CoRR abs/1705.10312 (2017) - [i5]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) - [i4]Tao Yang, Paul M. Thompson, Sihai Zhao, Jieping Ye:
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure. CoRR abs/1709.03645 (2017) - 2016
- [j170]Chenhui Hu, Xue Hua, Jun Ying, Paul M. Thompson, Georges El Fakhri, Quanzheng Li:
Localizing Sources of Brain Disease Progression with Network Diffusion Model. IEEE J. Sel. Top. Signal Process. 10(7): 1214-1225 (2016) - [j169]Zuyao Y. Shan, Anna A. E. Vinkhuyzen, Paul M. Thompson, Katie L. McMahon, Gabriëlla A. M. Blokland, Greig I. de Zubicaray, Vince D. Calhoun, Nicholas G. Martin, Peter M. Visscher, Margaret J. Wright, David C. Reutens:
Genes influence the amplitude and timing of brain hemodynamic responses. NeuroImage 124: 663-671 (2016) - [j168]Peter V. Kochunov, Paul M. Thompson, Anderson M. Winkler, Mary Morrissey, Mao Fu, Thomas R. Coyle, Xiaoming Du, Florian Muellerklein, Anya Savransky, Christopher Gaudiot, Hemalatha Sampath, George Eskandar, Neda Jahanshad, Binish Patel, Laura Rowland, Thomas E. Nichols, Jeffrey R. O'Connell, Alan R. Shuldiner, Braxton D. Mitchell, L. Elliot Hong:
The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects. NeuroImage 125: 189-197 (2016) - [j167]Christopher D. Whelan, Derrek P. Hibar, Laura S. van Velzen, Anthony S. Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinead Kelly, Joshua Faskowitz, Greig I. de Zubicaray, Juan Eugenio Iglesias, Theo G. M. van Erp, Thomas Frodl, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Lianne Schmaal, Philipp G. Sämann, Paul M. Thompson:
Heritability and reliability of automatically segmented human hippocampal formation subregions. NeuroImage 128: 125-137 (2016) - [c230]Guohao Zhang, Peter V. Kochunov, L. Elliot Hong, Neda Jahanshad, Paul M. Thompson, Jian Chen:
ENIGMA-Viewer: Interactive Visualization Strategies for Conveying Effect Sizes in Meta-Analysis. BCB 2016: 640-648 - [c229]Wen Zhang, Jie Shi, Cynthia M. Stonnington, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Paul M. Thompson, Eric M. Reiman, Richard J. Caselli, Yalin Wang:
Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. ISBI 2016: 14-18 - [c228]Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson:
Population learning of structural connectivity by white matter encoding and decoding. ISBI 2016: 554-558 - [c227]Qi Wang, Liang Zhan, Paul M. Thompson, Hiroko H. Dodge, Jiayu Zhou:
Discriminative fusion of multiple brain networks for early mild cognitive impairment detection. ISBI 2016: 568-572 - [c226]Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman,