Sophia I. Thomopoulos

According to our database, Sophia I. Thomopoulos authored at least 28 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

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

NeuroImage, December, 2023

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.

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

CoRR, 2023

Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis.

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

CoRR, 2023

Large-scale Normative Modeling of Brain Microstructure.

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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction.

Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Predicting Decline in Clinical Assessments of Alzheimer's Disease With Machine Learning and 3D Brain MRI.

Nikita Goel, Sophia I. Thomopoulos, Paul M. Thompson

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA).

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

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Can Structural MRIs be used to Detect Amyloid Positivity using Deep Learning?

Tamoghna Chattopadhyay, Dheeraj Komandur, Jayati Naik, Ketaki Buwa, Saket Ozarkar, Sophia I. Thomopoulos, Paul M. Thompson

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Medial Tractography Analysis (MeTA) for White Matter Population Analyses Across Datasets.

Iyad Ba Gari, Abhinaav Ramesh, Shayan Javid, Shruti Prashant Gadewar, Elnaz Nourollahimoghadam, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration.

Shruti Prashant Gadewar, Alyssa H. Zhu, Sunanda Somu, Abhinaav Ramesh, Iyad Ba Gari, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.

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

Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI.

Nikita Goel, Sophia I. Thomopoulos, Tamoghna Chattopadhyay, Paul M. Thompson

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting.

Yixue Feng, Bramsh Qamar Chandio, Sophia I. Thomopoulos, Tamoghna Chattopadhyay, Paul M. Thompson

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection.

Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks.

Ryan J. Cali, Ravi R. Bhatt, Sophia I. Thomopoulos, Shruti Gadewar, Iyad Ba Gari, Tamoghna Chattopadhyay, Neda Jahanshad, Paul M. Thompson

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.

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

Neuroinformatics, 2022

A comparison of methods to harmonize cortical thickness measurements across scanners and sites.

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

NeuroImage, 2022

FiberNeat: Unsupervised White Matter Tract Filtering.

Bramsh Qamar Chandio, Tamoghna Chattopadhyay, Conor Owens-Walton, Julio E. Villalon-Reina, Leila Nabulsi, Sophia I. Thomopoulos, Eleftherios Garyfallidis, Paul M. Thompson

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization.

Mengting Liu, Piyush Maiti, Sophia I. Thomopoulos, Alyssa H. Zhu, Yaqiong Chai, Hosung Kim, Neda Jahanshad

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Region Specific Automatic Quality Assurance For MRI-Derived Cortical Segmentations.

Shruti Gadewar, Alyssa H. Zhu, Sophia I. Thomopoulos, Zhuocheng Li, Iyad Ba Gari, Piyush Maiti, Paul M. Thompson, Neda Jahanshad

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model.

Eleonora Ficiarà, Valentino Crespi, Shruti Prashant Gadewar, Sophia I. Thomopoulos, Joshua Boyd, Paul M. Thompson, Neda Jahanshad, Fabrizio Pizzagalli

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3.

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

Frontiers Neuroinformatics, 2019

Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer's Disease.

Qifan Yang, Sophia I. Thomopoulos, Linda Ding, Wesley Surento, Paul M. Thompson, Neda Jahanshad

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain.

Vikash Gupta, Sophia I. Thomopoulos, Conor K. Corbin, Faisal Rashid, Paul M. Thompson

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers.

Vikash Gupta, Sophia I. Thomopoulos, Faisal Rashid, Paul M. Thompson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017