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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
- 2024
[j216]Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang
, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen:
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97: 103231 (2024)- [j215]Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sanchez, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
A federated learning architecture for secure and private neuroimaging analysis. Patterns 5(8): 101031 (2024) - [c328]Shruti Prashant Gadewar, Alyssa H. Zhu, Iyad Ba Gari, Sunanda Somu, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Synthesizing Study-Specific Controls Using Generative Models on Open Access Datasets for Harmonized Multi-Study Analyses. ISBI 2024: 1-5 - [c327]Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen:
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. ISBI 2024: 1-5 - [c326]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Brain Image Synthesis Using Incomplete Multimodal Data. ISBI 2024: 1-5 - [c325]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI 2024: 1-5 - [c324]Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. KDD 2024: 5105-5115 - [c323]Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) 2024: 227-237 - [i37]Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR abs/2405.13190 (2024) - [i36]Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. CoRR abs/2405.15081 (2024) - 2023
- [j214]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) - [j213]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) - [j212]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) - [j211]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. De Bellis, 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 A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin 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: 120412 (2023) - [j210]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: 120466 (2023) - [c322]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: 1-6 - [c321]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: 1-6 - [c320]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: 1-6 - [c319]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: 1-6 - [c318]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: 1-6 - [c317]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: 1-4 - [c316]Nikita Goel, Sophia I. Thomopoulos, Tamoghna Chattopadhyay, Paul M. Thompson:
Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI. EMBC 2023: 1-5 - [c315]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: 1-7 - [c314]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: 1-6 - [c313]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 - [c312]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 - [c311]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: 138-148 - [c310]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: 152-164 - [c309]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: 227-240 - [c308]Paul M. Thompson:
ENIGMA, big data, and the human brain: worldwide neuroimaging & genomics of 30 brain diseases in 100, 000 people from 45 countries (Conference Presentation). Medical Imaging: Image Processing 2023 - [c307]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: 94-103 - [c306]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: 387-395 - [c305]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 - [c304]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: 1-4 - [c303]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: 1-5 - [c302]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: 1-4 - [c301]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: 1-5 - [c300]Leila Nabulsi, Bramsh Qamar Chandio, Genevieve McPhilemy, Fiona M. Martyn, Gloria M. P. 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: 1-5 - [c299]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: 1-5 - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - [i29]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) - [i28]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) - [i27]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 abs/2311.11046 (2023) - 2022
- [j209]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) - [j208]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) - [j207]Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark W. Logue, C. Lexi Baird, Erin 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 L. 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) - [j206]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) - [j205]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) - [j204]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) - [j203]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) - [j202]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) - [c298]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 - [c297]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 - [c296]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 - [c295]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 - [c294]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 - [c293]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 - [c292]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 - [c291]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 - [c290]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) 2022: 336-345 - [c289]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) 2022: 346-355 - [c288]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
- [j201]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) - [j200]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) - [j199]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) - [c287]Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang:
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC 2021: 1051-1054 - [c286]Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad:
Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings. ISBI 2021: 836-839 - [c285]Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson:
Improved Brain Age Estimation With Slice-Based Set Networks. ISBI 2021: 840-844 - [c284]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 - [c283]Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul M. Thompson:
Scaling Neuroscience Research Using Federated Learning. ISBI 2021: 1191-1195 - [c282]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 - [c281]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 - [c280]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
- [j198]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) - [j197]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) - [j196]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 i