Lianne Schmaal
Orcid: 0000-0001-9822-048X
According to our database1,
Lianne Schmaal
authored at least 11 papers
between 2016 and 2023.
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Bibliography
2023
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.
CoRR, 2023
2022
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models.
NeuroImage, 2022
2019
Frontiers Neuroinformatics, 2019
2018
An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group.
Frontiers Neuroinformatics, 2018
Proceedings of the Shape in Medical Imaging, 2018
2017
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Heritability and reliability of automatically segmented human hippocampal formation subregions.
NeuroImage, 2016
Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016