Paul M. Thompson

ORCID

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 208

Top Venues

Publications

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 (2023)
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) (2023)
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 (2023)
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 (2023)
Leila Nabulsi, Bramsh Qamar Chandio, Genevieve McPhilemy, Fiona M. Martyn, Gloria Roberts, Brian Hallahan, Udo Dannlowski, Tilo Kircher, Benno Haarman, Philip B. Mitchell, Colm McDonald, Dara M. Cannon, Ole A. Andreassen, Christopher R. K. Ching, Paul M. Thompson
Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry. SIPAIM (2023)
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)
Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) (2023)
Iyad Ba Gari, Shayan Javid, Alyssa H. Zhu, Shruti Prashant Gadewar, Siddharth Narula, Abhinaav Ramesh, Sophia I. Thomopoulos, Lachlan T. Strike, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson, Talia M. Nir, Neda Jahanshad
Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA). SIPAIM (2023)
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 (2023)
Vladimir Belov, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R. K. Ching, André Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. CoRR (2023)
Julio E. Villalon-Reina, Talia M. Nir, Elnaz Nourollahimoghadam, Nikhil J. Dhinagar, Neda Jahanshad, Paul M. Thompson, Rafael Neto Henriques
Evaluating Fiber Orientation Dispersion Measures Computed From Single-Shell Diffusion MRI. EMBC (2023)
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)
Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection. EMBC (2023)
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 (2023)
Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. DeBellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin M. O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A. Morey
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 283 (2023)
Shruti Prashant Gadewar, Elnaz Nourollahimoghadam, Ravi R. Bhatt, Abhinaav Ramesh, Shayan Javid, Iyad Ba Gari, Alyssa H. Zhu, Sophia I. Thomopoulos, Paul M. Thompson, Neda Jahanshad
A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs. EMBC (2023)
Nikita Goel, Sophia I. Thomopoulos, Paul M. Thompson
Predicting Decline in Clinical Assessments of Alzheimer's Disease With Machine Learning and 3D Brain MRI. SIPAIM (2023)
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 (2023)
Tamoghna Chattopadhyay, Dheeraj Komandur, Jayati Naik, Ketaki Buwa, Saket Ozarkar, Sophia I. Thomopoulos, Paul M. Thompson
Can Structural MRIs be used to Detect Amyloid Positivity using Deep Learning? SIPAIM (2023)
Pritesh R. Jain, Madison Yates, Carlos Rubin de Celis, Petros Drineas, Neda Jahanshad, Paul M. Thompson, Peristera Paschou
Multiomic approach and Mendelian randomization analysis identify causal associations between blood biomarkers and subcortical brain structure volumes. NeuroImage 284 (2023)
Yixue Feng, Bramsh Qamar Chandio, Julio E. Villalon-Reina, Sophia I. Thomopoulos, Himanshu Joshi, Gauthami Nair, Anand A. Joshi, Ganesan Venkatasubramanian, John P. John, Paul M. Thompson
BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data. CDMRI@MICCAI (2023)
Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR (2023)
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. EMBC (2023)
Nikita Goel, Sophia I. Thomopoulos, Tamoghna Chattopadhyay, Paul M. Thompson
Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI. EMBC (2023)
André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi
Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR (2023)
Yan Jin, Jonathan DuBois, Chongyue Zhao, Liang Zhan, Audrey Gabelle, Neda Jahanshad, Paul M. Thompson, Arie Gafson, Shibeshih Mitiku Belachew
Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN. MLMI@MICCAI (1) (2023)
Umang Gupta, Tamoghna Chattopadhyay, Nikhil 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 (2023)
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 (2023)
Ryan J. Cali, Ravi R. Bhatt, Sophia I. Thomopoulos, Shruti Gadewar, Iyad Ba Gari, Tamoghna Chattopadhyay, Neda Jahanshad, Paul M. Thompson
The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks. EMBC (2023)
Leila Nabulsi, Bramsh Qamar Chandio, Nikhil J. Dhinagar, Emily Laltoo, Genevieve McPhilemy, Fiona M. Martyn, Brian Hallahan, Colm McDonald, Paul M. Thompson, Dara M. Cannon
Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study. EMBC (2023)
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)
Tamoghna Chattopadhyay, Amit Singh, Emily Laltoo, Christina P. Boyle, Conor Owens-Walton, 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
Comparison of Anatomical and Diffusion MRI for detecting Parkinson's Disease using Deep Convolutional Neural Network. EMBC (2023)
Shruti Prashant Gadewar, Alyssa H. Zhu, Sunanda Somu, Abhinaav Ramesh, Iyad Ba Gari, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad
Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration. MLMI@MICCAI (2) (2023)
Yixue Feng, Bramsh Qamar Chandio, Sophia I. Thomopoulos, Tamoghna Chattopadhyay, Paul M. Thompson
Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting. EMBC (2023)
Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson
Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction. SIPAIM (2023)
Julio E. Villalon-Reina, Alyssa H. Zhu, Talia M. Nir, Sophia I. Thomopoulos, Emily Laltoo, Leila Kushan, Carrie E. Bearden, Neda Jahanshad, Paul M. Thompson
Large-scale Normative Modeling of Brain Microstructure. SIPAIM (2023)
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 (2022)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR (2022)
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)
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 (2022)
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 (2022)
Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark 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 de 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 (2022)
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) (2022)
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) (2022)
Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan
Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI (2022)
Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil 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 (2022)
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)
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)
Elizabeth Haddad, Shayan Javid, Nikhil 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)
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)
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) (2022)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI (2022)
Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) (2022)
Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) (2022)
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. (3) (2022)
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)
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) (2022)
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) (2022)
Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) (2022)
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 (2021)
Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson
Improved Brain Age Estimation With Slice-Based Set Networks. ISBI (2021)
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)
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 (2021)
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 (2021)
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 (2021)
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)
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) (2021)
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 (2021)
Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad
Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings. ISBI (2021)
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)
Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC (2021)
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 (2021)
Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) (2021)
Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
Overview of Scanner Invariant Representations. CoRR (2020)
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)
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)
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)
Li Shen, Paul M. Thompson
Brain Imaging Genomics: Integrated Analysis and Machine Learning. Proc. IEEE 108 (1) (2020)
Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD (2020)
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 (2020)
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) (2020)
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 (2020)
Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) (2020)
Paul M. Thompson
Correction/Erratum. NeuroImage 223 (2020)
Andrea Palk, Judy Illes, Paul M. Thompson, Dan J. Stein
Ethical issues in global neuroimaging genetics collaborations. NeuroImage 221 (2020)
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)
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)
Wen Zhang, Liang Mi, Paul M. Thompson, Yalin Wang
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. IPMI (2019)
Li Wang, Paul M. Thompson, Dajiang Zhu
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. IPMI (2019)
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 (2019)
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) (2019)
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)
Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson
Scanner Invariant Representations for Diffusion MRI Harmonization. CoRR (2019)
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)
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)
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)
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)
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 (2019)
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)

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Paul M. Thompson