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Max Hinne

Showing results (11-20 of 22) with videos related to

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Plos One|December 15, 2020
Highways to happiness for autistic adults? Perceived causal relations among cliniciansMarie K Deserno, Denny Borsboom, Sander Begeer, et al.
Developmental Science|December 29, 2023
Individual differences in processing speed and curiosity explain infant habituation and dishabituation performanceFrancesco Poli, Tommaso Ghilardi, Roseriet Beijers, et al.
Plos Computational Biology|February 1, 2017
The missing link: Predicting connectomes from noisy and partially observed tract tracing dataMax Hinne, Annet Meijers, Rembrandt Bakker, et al.
Plos Computational Biology|April 12, 2017
Correction: The missing link: Predicting connectomes from noisy and partially observed tract tracing dataMax Hinne, Annet Meijers, Rembrandt Bakker, et al.
Journal of Critical Care|June 27, 2026
Identifying subgroups of ICU patients with high mortality rates using machine learning: A nationwide, population-based studyJulian van Gemert, Mark van den Boogaard, Cornelia Hoedemaekers, et al.
Neuroimage|September 21, 2019
Validation of structural brain connectivity networks: The impact of scanning parametersKaren S Ambrosen, Simon F Eskildsen, Max Hinne, et al.
Brain Imaging and Behavior|October 17, 2016
Resting-state subcortical functional connectivity in HIV-infected patients on long-term cARTMarloes A M Janssen, Max Hinne, Ronald J Janssen, et al.
Nucleic Acids Research|June 17, 2022
DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing dataGelana Khazeeva, Karolis Sablauskas, Bart van der Sanden, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Non-Gaussian normative modelling with hierarchical Bayesian regressionAugustijn A A de Boer, Johanna M M Bayer, Seyed Mostafa Kia, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|December 15, 2021
Phenotype based prediction of exome sequencing outcome using machine learning for neurodevelopmental disordersAlexander J M Dingemans, Max Hinne, Sandra Jansen, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Plos One|December 15, 2020
Highways to happiness for autistic adults? Perceived causal relations among cliniciansMarie K Deserno, Denny Borsboom, Sander Begeer, et al.
Developmental Science|December 29, 2023
Individual differences in processing speed and curiosity explain infant habituation and dishabituation performanceFrancesco Poli, Tommaso Ghilardi, Roseriet Beijers, et al.
Plos Computational Biology|February 1, 2017
The missing link: Predicting connectomes from noisy and partially observed tract tracing dataMax Hinne, Annet Meijers, Rembrandt Bakker, et al.
Plos Computational Biology|April 12, 2017
Correction: The missing link: Predicting connectomes from noisy and partially observed tract tracing dataMax Hinne, Annet Meijers, Rembrandt Bakker, et al.
Journal of Critical Care|June 27, 2026
Identifying subgroups of ICU patients with high mortality rates using machine learning: A nationwide, population-based studyJulian van Gemert, Mark van den Boogaard, Cornelia Hoedemaekers, et al.
Neuroimage|September 21, 2019
Validation of structural brain connectivity networks: The impact of scanning parametersKaren S Ambrosen, Simon F Eskildsen, Max Hinne, et al.
Brain Imaging and Behavior|October 17, 2016
Resting-state subcortical functional connectivity in HIV-infected patients on long-term cARTMarloes A M Janssen, Max Hinne, Ronald J Janssen, et al.
Nucleic Acids Research|June 17, 2022
DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing dataGelana Khazeeva, Karolis Sablauskas, Bart van der Sanden, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Non-Gaussian normative modelling with hierarchical Bayesian regressionAugustijn A A de Boer, Johanna M M Bayer, Seyed Mostafa Kia, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|December 15, 2021
Phenotype based prediction of exome sequencing outcome using machine learning for neurodevelopmental disordersAlexander J M Dingemans, Max Hinne, Sandra Jansen, et al.
Pageof 3