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Lianne Schmaal
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2020 – today
- 2022
- [j4]Johanna M. M. Bayer
, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand:
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. NeuroImage 264: 119699 (2022)
2010 – 2019
- 2019
- [j3]Sook-Lei Liew, Lianne Schmaal, Neda Jahanshad:
Editorial: Collaborative Efforts for Understanding the Human Brain. Frontiers Neuroinformatics 13: 38 (2019) - 2018
- [j2]Premika S. W. Boedhoe, Martijn W. Heymans, Lianne Schmaal
, Yoshinari Abe
, Pino Alonso
, Stephanie H. Ameis, Alan Anticevic, Paul D. Arnold, Marcelo C. Batistuzzo, Francesco Benedetti
, Jan Carl Beucke, Irene Bollettini
, Anushree Bose, Silvia Brem, Anna Calvo, Rosa Calvo
, Yuqi Cheng, Kang Ik Kevin Cho, Valentina Ciullo, Sara Dallaspezia, Damiaan Denys, Jamie D. Feusner, Kate Dimond Fitzgerald, Jean-Paul Fouche, Egill A. Fridgeirsson, Patricia Gruner, Gregory L. Hanna, Derrek P. Hibar, Marcelo Queiroz Hoexter, Hao Hu, Chaim Huyser
, Neda Jahanshad, Anthony James, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Jun Soo Kwon, Luisa Lazaro
, Christine Lochner, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José M. Menchón, Luciano Minuzzi, Astrid Morer, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Seiji Nishida, Erika L. Nurmi, Joseph O'Neill, John Piacentini, Fabrizio Piras
, Federica Piras, Y. C. Janardhan Reddy, Tim Jonas Reess, Yuki Sakai
, João R. Sato
, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas
, Gianfranco Spalletta, Michael C. Stevens, Philip R. Szeszko, David F. Tolin, Guido A. van Wingen
, Ganesan Venkatasubramanian
, Susanne Walitza
, Zhen Wang, Je-Yeon Yun, ENIGMA-OCD Working-Group, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel
, Jos W. R. Twisk:
An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group. Frontiers Neuroinformatics 12: 102 (2018) - [c5]Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev
, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal
, Dick J. Veltman, Paul M. Thompson:
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. ShapeMI@MICCAI 2018: 268-276 - 2017
- [c4]Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese:
An evolutionary approach for fMRI big data classification. CEC 2017: 1029-1036 - [c3]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 - [c2]Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, 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:
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. MLMI@MICCAI 2017: 371-378 - [i1]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) - 2016
- [j1]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) - [c1]Aria Smith, Anahid Ehtemami, Daniel Fratte, Anke Meyer-Baese
, Olmo Zavala-Romero
, Anna E. Goudriaan
, Lianne Schmaal
, Mieke H. J. Schulte:
Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978827
Coauthor Index

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