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Nils R Winter

Showing results (1-10 of 47) with videos related to

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Molecular Psychiatry|March 1, 2022
Significance and stability of deep learning-based identification of subtypes within major psychiatric disordersNils R Winter, Tim Hahn
Neuroimage|May 13, 2022
Recommendations for machine learning benchmarks in neuroimagingRamona Leenings, Nils R Winter, Udo Dannlowski, et al.
Brain Structure & Function|July 23, 2020
Predicting intelligence from brain gray matter volumeKirsten Hilger, Nils R Winter, Ramona Leenings, et al.
Frontiers in Psychiatry|August 23, 2021
Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019Lukas Fisch, Ramona Leenings, Nils R Winter, et al.
Plos One|November 10, 2017
Facial width-to-height ratio differs by social rank across organizations, countries, and value systemsTim Hahn, Nils R Winter, Christine Anderl, et al.
Molecular Psychiatry|May 13, 2021
From multivariate methods to an AI ecosystemNils R Winter, Micah Cearns, Scott R Clark, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2022
Canonical Correlation Analysis and Partial Least Squares for Identifying Brain-Behavior Associations: A Tutorial and a Comparative StudyAgoston Mihalik, James Chapman, Rick A Adams, et al.
Brain : a Journal of Neurology|April 7, 2021
From 'loose fitting' to high-performance, uncertainty-aware brain-age modellingTim Hahn, Lukas Fisch, Jan Ernsting, et al.
Computers in Biology and Medicine|July 13, 2024
deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural NetworksLukas Fisch, Stefan Zumdick, Carlotta Barkhau, et al.
Computers in Biology and Medicine|July 13, 2024
GateNet: A novel neural network architecture for automated flow cytometry gatingLukas Fisch, Michael Heming, Andreas Schulte-Mecklenbeck, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Molecular Psychiatry|March 1, 2022
Significance and stability of deep learning-based identification of subtypes within major psychiatric disordersNils R Winter, Tim Hahn
Neuroimage|May 13, 2022
Recommendations for machine learning benchmarks in neuroimagingRamona Leenings, Nils R Winter, Udo Dannlowski, et al.
Brain Structure & Function|July 23, 2020
Predicting intelligence from brain gray matter volumeKirsten Hilger, Nils R Winter, Ramona Leenings, et al.
Frontiers in Psychiatry|August 23, 2021
Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019Lukas Fisch, Ramona Leenings, Nils R Winter, et al.
Plos One|November 10, 2017
Facial width-to-height ratio differs by social rank across organizations, countries, and value systemsTim Hahn, Nils R Winter, Christine Anderl, et al.
Molecular Psychiatry|May 13, 2021
From multivariate methods to an AI ecosystemNils R Winter, Micah Cearns, Scott R Clark, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2022
Canonical Correlation Analysis and Partial Least Squares for Identifying Brain-Behavior Associations: A Tutorial and a Comparative StudyAgoston Mihalik, James Chapman, Rick A Adams, et al.
Brain : a Journal of Neurology|April 7, 2021
From 'loose fitting' to high-performance, uncertainty-aware brain-age modellingTim Hahn, Lukas Fisch, Jan Ernsting, et al.
Computers in Biology and Medicine|July 13, 2024
deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural NetworksLukas Fisch, Stefan Zumdick, Carlotta Barkhau, et al.
Computers in Biology and Medicine|July 13, 2024
GateNet: A novel neural network architecture for automated flow cytometry gatingLukas Fisch, Michael Heming, Andreas Schulte-Mecklenbeck, et al.
Pageof 5