Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients. - Aria Smith; Anahid Ehtemami; Daniel Fratte; Anke Meyer-Baese; Olmo Zavala-Romero; Anna E. Goudriaan; Lianne Schmaal; Mieke H. J. Schulte (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Heritability and reliability of automatically segmented human hippocampal formation subregions. - 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; et al. (NeuroImage, 2016)

An evolutionary approach for fMRI big data classification. - Amirhessam Tahmassebi; Amir H. Gandomi; Ian McCann; Mieke H. J. Schulte; Lianne Schmaal; Anna E. Goudriaan; Anke Meyer-Baese (CEC, 2017)

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. - 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 032; Lianne Schmaal; Dick J. Veltman; Paul M. Thompson (MLMI@MICCAI, 2017)

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. - 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; et al. (MICCAI (3), 2017)

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. - 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; et al. (CoRR, 2017)

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. - 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 032; Lianne Schmaal; Dick J. Veltman; et al. (ShapeMI@MICCAI, 2018)

An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group. - 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; et al. (Frontiers Neuroinformatics, 2018)

Editorial: Collaborative Efforts for Understanding the Human Brain. - Sook-Lei Liew; Lianne Schmaal; Neda Jahanshad (Frontiers Neuroinformatics, 2019)

Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. - Johanna M. M. Bayer; Richard Dinga; Seyed Mostafa Kia; Akhil R. Kottaram; Thomas Wolfers; Jinglei Lv; Andrew Zalesky; Lianne Schmaal; Andre F. Marquand (NeuroImage, 2022)

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; et al. (CoRR, 2023)