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2020 – today
- 2024
[j41]Jiaying Lin
, Zhuoshuo Li, Youbing Zeng, Xiaobo Liu, Liang Li, Neda Jahanshad, Xinting Ge, Dan Zhang, Minhua Lu, Mengting Liu:
Harmonizing three-dimensional MRI using pseudo-warping field guided GAN. NeuroImage 295: 120635 (2024)- [c98]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 - 2023
- [j40]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) - [j39]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) - [j38]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) - [c97]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 - [c96]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 - [c95]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 - [c94]Elizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad:
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain. MLCN@MICCAI 2023: 91-101 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg:
Partial identification of dose responses with hidden confounders. UAI 2023: 1368-1379 - [i11]Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Kelly S. Peterson, Kristen Dams OConnor, Kenton Murray, Ronak Agarwal, Houshang H. Amiri, Raeda K. Andersen, Talin Babikian, David A Baron, Erin D. Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G. Disner, Ekaterina Dobryakova, Blessen C. Eapen, Rachel M. Edelstein, Carrie Esopenko, Helen M. Genova, Elbert Geuze, Naomi J. Goodrich-Hunsaker, Jordan Grafman, Asta K. Håberg, Cooper B. Hodges, Kristen R. Hoskinson, Elizabeth S. Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M. Jha, Finian Keleher, Kimbra Kenney, Inga Koerte, Spencer W. Liebel, Abigail Livny, Marianne Lovstad, Sarah L. Martindale, Jeffrey E. Max, Andrew R. Mayer, Timothy B. Meier, Deleene S. Menefee, Abdalla Z. Mohamed, Stefania Mondello, Martin M. Monti, Rajendra A. Morey, Virginia Newcombe, et al.:
Linking Symptom Inventories using Semantic Textual Similarity. CoRR abs/2309.04607 (2023) - [i10]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) - [i9]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
- [j37]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) - [j36]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) - [j35]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) - [c87]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 - [c86]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 - [c85]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 - [c84]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 - 2021
- [j34]Rosita Shishegar, Fabrizio Pizzagalli, Nellie Georgiou-Karistianis, Gary F. Egan, Neda Jahanshad, Leigh A. Johnston:
A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets. NeuroImage 229: 117751 (2021) - [j33]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) - [c83]Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad:
Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings. ISBI 2021: 836-839 - [c82]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 - [c81]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 - [c80]Mengting Liu, Piyush Maiti, Sophia I. Thomopoulos, Alyssa H. Zhu, Yaqiong Chai, Hosung Kim, Neda Jahanshad:
Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization. MICCAI (3) 2021: 313-322 - 2020
- [j32]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) - [c79]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
2010 – 2019
- 2019
- [j31]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) - [j30]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) - [j29]Sook-Lei Liew, Lianne Schmaal, Neda Jahanshad:
Editorial: Collaborative Efforts for Understanding the Human Brain. Frontiers Neuroinformatics 13: 38 (2019) - [j28]Neda Jahanshad, Joshua Faskowitz, Gennady V. Roshchupkin, Derrek P. Hibar, Boris A. Gutman, Nicholas J. Tustison, Hieab H. 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) - [c78]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 - [c77]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 - [c76]Yolanda Gil, James Honaker, Shikhar Gupta, Yibo Ma, Vito D'Orazio, Daniel Garijo, Shruti Gadewar, Qifan Yang, Neda Jahanshad:
Towards human-guided machine learning. IUI 2019: 614-624 - [c75]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 - [c74]Daniel Garijo, Shobeir Fakhraei, Varun Ratnakar, Qifan Yang, Hanna Endrias, Yibo Ma, Regina Wang, Michael Bornstein, Joanna Bright, Yolanda Gil, Neda Jahanshad:
Towards Automated Hypothesis Testing in Neuroscience. Poly/DMAH@VLDB 2019: 249-257 - 2018
- [j27]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 Manuel 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) - [j26]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) - [c73]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 - 2017
- [j25]Guohao Zhang, Peter V. Kochunov, L. Elliot Hong, Sinead Kelly, Christopher D. Whelan, Neda Jahanshad, Paul M. Thompson, Jian Chen:
ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis. BMC Bioinform. 18(6): 17-29 (2017) - [j24]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
Continuous representations of brain connectivity using spatial point processes. Medical Image Anal. 41: 32-39 (2017) - [c72]Nikita Mokrov, Maxim Panov, Boris A. Gutman, Joshua I. Faskowitz, Neda Jahanshad, Paul M. Thompson:
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification. COMPLEX NETWORKS 2017: 1261-1270 - [c71]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. IPMI 2017: 336-347 - [c70]Emily L. Dennis, Faisal Rashid, Joshua Faskowitz, Yan Jin, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Ian B. Hickie, Margaret J. Wright, Neda Jahanshad, Paul M. Thompson:
Mapping age effects along fiber tracts in young adults. ISBI 2017: 101-104 - [c69]Emily L. Dennis, Faisal Rashid, Neda Jahanshad, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson:
A network approach to examining injury severity in pediatric TBI. ISBI 2017: 105-108 - [c68]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson:
Structural connectome validation using pairwise classification. ISBI 2017: 451-455 - [c67]Brandalyn C. Riedel, Neda Jahanshad, Paul M. Thompson:
Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in Autism. ISBI 2017: 460-463 - [c66]George W. Hafzalla, Anjanibhargavi Ragothaman, Joshua Faskowitz, Neda Jahanshad, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Meredith N. Braskie, Gautam Prasad, Paul M. Thompson:
A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines. ISBI 2017: 961-965 - [c65]Boris A. Gutman, Fabrizio Pizzagalli, Neda Jahanshad, Margaret J. Wright, Katie L. McMahon, Greig I. de Zubicaray, Paul M. Thompson:
Approximating principal genetic components of subcortical shape. ISBI 2017: 1226-1230 - [c64]Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov:
Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI 2017: 3-11 - [c63]Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. MICCAI (3) 2017: 159-167 - [c62]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
Product Space Decompositions for Continuous Representations of Brain Connectivity. MLMI@MICCAI 2017: 353-361 - [c61]Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson:
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. MICCAI (1) 2017: 515-522 - [c60]Mihyun Jang, Tejal Patted, Yolanda Gil, Daniel Garijo, Varun Ratnakar, Jie Ji, Prince Wang, Aggie McMahon, Paul M. Thompson, Neda Jahanshad:
Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata. SemSci@ISWC 2017: 63-70 - [c59]Mark S. Shiroishi, Vikash Gupta, Bavrina Bigjahan, Steven Y. Cen, Faisal Rashid, Darryl H. Hwang, Alexander Lerner, Orest B. Boyko, Chia-Shang Jason Liu, Meng Law, Paul M. Thompson, Neda Jahanshad:
Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans. SIPAIM 2017: 105720G - [i8]Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson:
Structural Connectome Validation Using Pairwise Classification. CoRR abs/1701.07847 (2017) - [i7]Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson:
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. CoRR abs/1703.00981 (2017) - [i6]Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR abs/1704.08383 (2017) - [i5]Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. CoRR abs/1705.10312 (2017) - [i4]Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz, Boris Gutman, Daniel Moyer, Julio Villalon, Neda Jahanshad, Paul M. Thompson:
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification. CoRR abs/1706.06031 (2017) - 2016
- [j23]Peter V. Kochunov, Paul M. Thompson, Anderson M. Winkler, Mary Morrissey, Mao Fu, Thomas R. Coyle, Xiaoming Du, Florian Muellerklein, Anya Savransky, Christopher Gaudiot, Hemalatha Sampath, George Eskandar, Neda Jahanshad, Binish Patel, Laura Rowland, Thomas E. Nichols, Jeffrey R. O'Connell, Alan R. Shuldiner, Braxton D. Mitchell, L. Elliot Hong:
The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects. NeuroImage 125: 189-197 (2016) - [j22]Christopher D. Whelan, Derrek P. Hibar, Laura S. van Velzen, Anthony S. Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinead Kelly, Joshua Faskowitz, Greig I. de Zubicaray, Juan Eugenio Iglesias, Theo G. M. van Erp, Thomas Frodl, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Lianne Schmaal, Philipp G. Sämann, Paul M. Thompson:
Heritability and reliability of automatically segmented human hippocampal formation subregions. NeuroImage 128: 125-137 (2016) - [c58]Guohao Zhang, Peter V. Kochunov, L. Elliot Hong, Neda Jahanshad, Paul M. Thompson, Jian Chen:
ENIGMA-Viewer: Interactive Visualization Strategies for Conveying Effect Sizes in Meta-Analysis. BCB 2016: 640-648 - [c57]Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson:
Population learning of structural connectivity by white matter encoding and decoding. ISBI 2016: 554-558 - [c56]Fabrizio Pizzagalli, Guillaume Auzias, Peter V. Kochunov, Joshua I. Faskowitz, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Paul M. Thompson:
Genetic analysis of cortical sulci in 1, 009 adults. ISBI 2016: 833-837 - [c55]Marco Lorenzi, Boris Gutman, Derrek P. Hibar, André Altmann, Neda Jahanshad, Paul M. Thompson, Sébastien Ourselin:
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI 2016: 838-841 - [c54]Talia M. Nir, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Julio Villalon-Reina, Liang Zhan, Alex D. Leow, Matt A. Bernstein, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson:
Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease. ISBI 2016: 1088-1092 - [c53]Joshua Faskowitz, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson, Neda Jahanshad:
Comparison of template registration methods for multi-site meta-analysis of brain morphometry. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978822 - [c52]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
A Continuous Model of Cortical Connectivity. MICCAI (1) 2016: 157-165 - [c51]Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. MICCAI (1) 2016: 335-343 - [c50]George W. Hafzalla, Gautam Prasad, Vatche G. Baboyan, Joshua Faskowitz, Neda Jahanshad, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Meredith N. Braskie, Paul M. Thompson:
The heritability of the functional connectome is robust to common nonlinear registration methods. Image Processing 2016: 97841R - [c49]Sarah K. Madsen, Greg Ver Steeg, Madelaine Daianu, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, Paul M. Thompson:
Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly. Image Processing 2016: 978411 - [i3]Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. CoRR abs/1608.07251 (2016) - [i2]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
A Continuous Model of Cortical Connectivity. CoRR abs/1610.03809 (2016) - [i1]Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson:
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents. CoRR abs/1611.06197 (2016) - 2015
- [j21]Peter V. Kochunov, Neda Jahanshad, Daniel S. Marcus, Anderson M. Winkler, Emma Sprooten, Thomas E. Nichols, Susan N. Wright, L. Elliot Hong, Binish Patel, Timothy Behrens, Saâd Jbabdi, Jesper L. R. Andersson, Christophe Lenglet, Essa Yacoub, Steen Moeller, Eddie Auerbach, Kâmil Ugurbil, Stamatios N. Sotiropoulos, Rachel M. Brouwer, Bennett A. Landman, Hervé Lemaître, Anouk den Braber, Marcel P. Zwiers, Stuart J. Ritchie, Kimm van Hulzen, Laura Almasy, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, Peter T. Fox:
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage 111: 300-311 (2015) - [c48]Ayse Demirhan, Talia M. Nir, Artemis Zavaliangos-Petropulu, Clifford R. Jack, Michael W. Weiner, Matt A. Bernstein, Paul M. Thompson, Neda Jahanshad:
Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images. ISBI 2015: 126-130 - [c47]Liang Zhan, Neda Jahanshad, Joshua Faskowitz, Dajiang Zhu, Gautam Prasad, Nicholas G. Martin, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson:
Heritability of brain network topology in 853 twins and siblings. ISBI 2015: 449-453 - [c46]