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ORCIDPaul M. Thompson
Paul Thompson 0001
Person information
- 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
- 2023
[j210]Gopalkumar Rakesh
, Mark W. Logue, Emily Clarke-Rubright, Courtney C. Haswell, Paul M. Thompson, Michael D. De Bellis, Rajendra A. Morey, Delin Sun:
Network Centrality and Modularity of Structural Covariance Networks in Posttraumatic Stress Disorder: A Multisite ENIGMA-PGC Study. Brain Connect. 13(4): 211-225 (2023)- [j209]Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. 83: 102674 (2023) - [j208]Yizhou Ma, Mark D. Kvarta, Bhim M. Adhikari, Joshua Chiappelli, Xiaoming Du, Andrew van der Vaart, Eric L. Goldwaser, Heather Bruce, Kathryn S. Hatch, Si Gao, Ann Summerfelt, Neda Jahanshad, Paul M. Thompson, Thomas E. Nichols, L. Elliot Hong, Peter V. Kochunov:
Association between brain similarity to severe mental illnesses and comorbid cerebral, physical, and cognitive impairments. NeuroImage 265: 119786 (2023) - [c299]Nikhil J. Dhinagar, Conor Owens-Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Ysbrand D. van der Werf, Paul M. Thompson:
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. ISBI 2023: 1-5 - [c298]Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg:
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. ISBI 2023: 1-5 - [c297]Iyad Ba Gari, Abhinaav Ramesh, Shayan Javid, Shruti Prashant Gadewar, Elnaz Nourollahimoghadam, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Medial Tractography Analysis (MeTA) for White Matter Population Analyses Across Datasets. NER 2023: 1-5 - [i34]Nikhil J. Dhinagar, Conor Owens-Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Ysbrand D. van der Werf, Paul M. Thompson:
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. CoRR abs/2302.13631 (2023) - [i33]Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg, Alzheimer's Disease Neuroimaging Initiative:
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. CoRR abs/2303.01491 (2023) - [i32]Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson:
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection. CoRR abs/2303.08216 (2023) - [i31]Nikhil J. Dhinagar, Vignesh Santhalingam, Katherine E. Lawrence, Emily Laltoo, Paul M. Thompson:
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI. CoRR abs/2303.08224 (2023) - [i30]Jianfeng Wu, Yi Su, Yanxi Chen, Wenhui Zhu, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry. CoRR abs/2304.00134 (2023) - [i29]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - [i28]Nikhil J. Dhinagar, Amit Singh, Saket Ozarkar, Ketaki Buwa, Sophia I. Thomopoulos, Conor Owens-Walton, Emily Laltoo, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Paul M. Thompson:
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis. CoRR abs/2309.04651 (2023) - [i27]André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi:
Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR abs/2309.07352 (2023) - 2022
- [j207]Hung Mai, Jingxuan Bao, Paul M. Thompson, Dokyoon Kim, Li Shen:
Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data. BMC Bioinform. 23-S(3): 398 (2022) - [j206]Bin Lu, Hui-Xian Li, Zhi-Kai Chang, Le Li, Ning-Xuan Chen, Zhi-Chen Zhu, Hui-Xia Zhou, Xue-Ying Li, Yu-Wei Wang, Shi-Xian Cui, Zhao-Yu Deng, Zhen Fan, Hong Yang, Xiao Chen, Paul M. Thompson, Francisco Xavier Castellanos, Chao-Gan Yan:
A practical Alzheimer's disease classifier via brain imaging-based deep learning on 85, 721 samples. J. Big Data 9(1): 101 (2022) - [j205]Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark W. Logue, C. Lexi Baird, Erin N. O'Leary, Andrew S. Cotton, Hong Xie, Marijo B. Tamburrino, Tian Chen, Emily L. Dennis, Neda Jahanshad, Lauren E. Salminen, Sophia I. Thomopoulos, Faisal Rashid, Christopher R. K. Ching, Saskia B. J. Koch, Jessie L. Frijling, Laura Nawijn, Mirjam van Zuiden, Xi Zhu, Benjamin Suarez-Jimenez, Anika Sierk, Henrik Walter, Antje Manthey, Jennifer S. Stevens, Negar Fani, Sanne J. H. van Rooij, Murray B. Stein, Jessica Bomyea, Inga Koerte, Kyle Choi, Steven J. A. van der Werff, Robert R. J. M. Vermeiren, Julia Herzog, Lauren A. M. Lebois, Justin T. Baker, Elizabeth A. Olson, Thomas Straube, Mayuresh S. Korgaonkar, Elpiniki Andrew, Ye Zhu, Gen Li, Jonathan Ipser, Anna R. Hudson, Matthew Peverill, Kelly A. Sambrook, Evan Gordon, Lee Baugh, Gina Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent Magnotta, Adi Maron-Katz, Stefan du Plessis, Seth G. Disner, Nicholas D. Davenport, Daniel W. Grupe, Jack B. Nitschke, Terri A. deRoon-Cassini, Jacklynn M. Fitzgerald, John H. Krystal, Ifat Levy, Miranda Olff, Dick J. Veltman, Li Wang, Yuval Neria, Michael D. De Bellis, Tanja Jovanovic, Judith K. Daniels, Martha Shenton, Nic J. A. van der Wee, Christian Schmahl, Milissa L. Kaufman, Isabelle M. Rosso, Scott R. Sponheim, David Bernd Hofmann, Richard A. Bryant, Kelene A. Fercho, Dan J. Stein, Sven C. Mueller, Bobak Hosseini, K. Luan Phan, Katie A. McLaughlin, Richard J. Davidson, Christine L. Larson, Geoffrey May, Steven M. Nelson, Chadi G. Abdallah, Hassaan Gomaa, Amit Etkin, Zelekha A. Seedat, Ilan Harpaz-Rotem, Israel Liberzon, Theo G. M. van Erp, Yann Quidé, Xin Wang, Paul M. Thompson, Rajendra A. Morey:
A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage 261: 119509 (2022) - [j204]Bhim M. Adhikari, L. Elliot Hong, Zhiwei Zhao, Danny J. J. Wang, Paul M. Thompson, Neda Jahanshad, Alyssa H. Zhu, Stefan Holiga, Jessica A. Turner, Theo G. M. van Erp, Vince D. Calhoun, Kathryn S. Hatch, Heather Bruce, Stephanie M. Hare, Joshua Chiappelli, Eric L. Goldwaser, Mark D. Kvarta, Yizhou Ma, Xiaoming Du, Thomas E. Nichols, Alan R. Shuldiner, Braxton D. Mitchell, Juergen Dukart, Peter V. Kochunov:
Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity. NeuroImage 262: 119555 (2022) - [j203]Jessica A. Turner, Vince D. Calhoun, Paul M. Thompson, Neda Jahanshad, Christopher R. K. Ching, Sophia I. Thomopoulos, Eric Verner, Gregory P. Strauss, Anthony O. Ahmed, Matthew D. Turner, Sunitha Basodi, Judith M. Ford, Daniel H. Mathalon, Adrian Preda, Aysenil Belger, Bryon A. Mueller, Kelvin O. Lim, Theo G. M. van Erp:
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability. Neuroinformatics 20(1): 261-275 (2022) - [j202]Jean-Baptiste Poline, David N. Kennedy, Friedrich T. Sommer, Giorgio A. Ascoli, David C. Van Essen, Adam R. Ferguson, Jeffrey S. Grethe, Michael Hawrylycz, Paul M. Thompson, Russell A. Poldrack, Satrajit S. Ghosh, David B. Keator, Thomas L. Athey, Joshua T. Vogelstein, Helen S. Mayberg, Maryann E. Martone:
Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. Neuroinformatics 20(2): 507-512 (2022) - [j201]Dimitris Stripelis, Paul M. Thompson, José Luis Ambite:
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings. ACM Trans. Intell. Syst. Technol. 13(5): 78:1-78:29 (2022) - [j200]Lei Shi, Junnan Hu, Zhihao Tan, Jun Tao, Jiayan Ding, Yan Jin, Yanjun Wu, Paul M. Thompson:
MVNet: Multi-Variate Multi-View Brain Network Comparison Over Uncertain Data. IEEE Trans. Vis. Comput. Graph. 28(12): 4640-4657 (2022) - [c296]Bramsh Qamar Chandio, Tamoghna Chattopadhyay, Conor Owens-Walton, Julio E. Villalon-Reina, Leila Nabulsi, Sophia I. Thomopoulos, Eleftherios Garyfallidis, Paul M. Thompson:
FiberNeat: Unsupervised White Matter Tract Filtering. EMBC 2022: 5055-5061 - [c295]Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan:
Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI 2022: 1-5 - [c294]Jianfeng Wu, Yi Su, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model. ISBI 2022: 1-5 - [c293]Talia M. Nir, Julio E. Villalon-Reina, Paul M. Thompson, Neda Jahanshad:
The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures. CDMRI@MICCAI 2022: 50-61 - [c292]Elizabeth Haddad, Shayan Javid, Nikhil J. Dhinagar, Alyssa H. Zhu, Pradeep Lam, Iyad Ba Gari, Arpana Gupta, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia. MLCN@MICCAI 2022: 104-114 - [c291]Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman:
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. MLCN@MICCAI 2022: 115-124 - [c290]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI 2022: 141-151 - [c289]Julio E. Villalon-Reina, Clara Moreau, Talia M. Nir, Neda Jahanshad, Anne M. Maillard, David Romascano, Bogdan Draganski, Sarah Lippé, Carrie E. Bearden, Seyed Mostafa Kia, Andre F. Marquand, Sébastien Jacquemont, Paul M. Thompson:
Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression. MICCAI (1) 2022: 207-217 - [c288]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) 2022: 336-345 - [c287]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) 2022: 346-355 - [c286]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) 2022: 356-365 - [i26]Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Federated Learning for Neuroimaging. CoRR abs/2205.05249 (2022) - [i25]Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR abs/2205.07854 (2022) - [i24]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR abs/2208.11669 (2022) - [i23]Jianfeng Wu, Yi Su, Wenhui Zhu, Negar Jalili Mallak, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding. CoRR abs/2211.05235 (2022) - 2021
- [j199]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) - [j198]Si Gao, Brian Donohue, Kathryn S. Hatch, Shuo Chen, Tianzhou Ma, Yizhou Ma, Mark D. Kvarta, Heather Bruce, Bhim M. Adhikari, Neda Jahanshad, Paul M. Thompson, John Blangero, L. Elliot Hong, Sarah E. Medland, Habib Ganjgahi, Thomas E. Nichols, Peter V. Kochunov:
Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project. NeuroImage 245: 118700 (2021) - [j197]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) - [c285]Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang:
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC 2021: 1051-1054 - [c284]Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad:
Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings. ISBI 2021: 836-839 - [c283]Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson:
Improved Brain Age Estimation With Slice-Based Set Networks. ISBI 2021: 840-844 - [c282]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 - [c281]Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul M. Thompson:
Scaling Neuroscience Research Using Federated Learning. ISBI 2021: 1191-1195 - [c280]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 - [c279]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 - [c278]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 - [i22]Umang Gupta, Pradeep Lam, Greg Ver Steeg, Paul Thompson:
Improved Brain Age Estimation with Slice-based Set Networks. CoRR abs/2102.04438 (2021) - [i21]Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul Thompson:
Scaling Neuroscience Research using Federated Learning. CoRR abs/2102.08440 (2021) - [i20]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) - [i19]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) - [i18]Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil J. 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) - [i17]Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy. CoRR abs/2110.10709 (2021) - 2020
- [j196]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) - [j195]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) - [j194]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) - [j193]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) - [j192]Andrea Palk, Judy Illes, Paul M. Thompson, Dan J. Stein:
Ethical issues in global neuroimaging genetics collaborations. NeuroImage 221: 117208 (2020) - [j191]Paul M. Thompson:
Correction/Erratum. NeuroImage 223: 117312 (2020) - [j190]Li Shen, Paul M. Thompson:
Brain Imaging Genomics: Integrated Analysis and Machine Learning. Proc. IEEE 108(1): 125-162 (2020) - [c277]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 - [c276]Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD 2020: 1828-1838 - [c275]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 - [c274]Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang:
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) 2020: 613-624 - [i16]Daniel Moyer, Greg Ver Steeg, Paul M. Thompson:
Overview of Scanner Invariant Representations. CoRR abs/2006.00115 (2020) - [i15]Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang:
Deep Representation Learning For Multimodal Brain Networks. CoRR abs/2007.09777 (2020)
2010 – 2019
- 2019
- [j189]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) - [j188]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) - [j187]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast predictive simple geodesic regression. Medical Image Anal. 56: 193-209 (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) - [c273]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 - [c272]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 - [c271]Li Wang, Paul M. Thompson, Dajiang Zhu:
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. IPMI 2019: 656-668 - [c270]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 - [c269]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 - [c268]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 - [c267]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 - [c266]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 - [c265]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 - [c264]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] - [i14]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) - [c263]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 - [c262]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 A. 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 - [c261]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 - [c260]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 - [c259]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [c258]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 - [i13]Ayush Jaiswal, Dong Guo, Cauligi S. Raghavendra, Paul M. Thompson:
Large-Scale Unsupervised Deep Representation Learning for Brain Structure. CoRR abs/1805.01049 (2018) - [i12]Daniel Moyer, Paul M. Thompson, Greg Ver Steeg:
Measures of Tractography Convergence. CoRR abs/1806.04634 (2018) - [i11]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
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