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deepmriprep: voxel-based morphometry preprocessing via deep neural networks

deepmriprep leverages neural networks to enable voxel-based morphometry preprocessing of MRI data that is 37× faster than existing methods while achieving comparable accuracy in segmentation, registration and final statistical maps across large datasets.

Lukas Fisch
Nils R. Winter
Tim Hahn
ResearchOpen Access30 Jan 2026
Nature Computational Science

P: 1-10
Genetic and environmental sources of egg size variation in the butterfly Bicyclus anynana

K Fischer
A N M Bot
P M Brakefield
Research14 Jan 2004
Heredity

Volume: 92, P: 163-169
Breath of Life

I. S. LONGMUIR
Books & Arts20 Aug 1966
Nature

Volume: 211, P: 800-801
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model

Roberto Goya-Maldonado
Tracy Erwin-Grabner
Jan Ernsting
ResearchOpen Access03 Oct 2025
Molecular Psychiatry

Volume: 31, P: 1517-1529
All-optical preparation of molecular ions in the rovibrational ground state

Molecular targets prepared in well-defined quantum states play an essential part in a wide range of fields, from metrology to astrochemistry. Now, HD⁺ ions have been prepared in their lowest vibrational and rotational level using a laser-cooling scheme. This provides a fresh approach for exploring such phenomena and applications experimentally.

T. Schneider
B. Roth
S. Schiller
Research07 Mar 2010
Nature Physics

Volume: 6, P: 275-278

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deepmriprep: voxel-based morphometry preprocessing via deep neural networks

Genetic and environmental sources of egg size variation in the butterfly Bicyclus anynana

Breath of Life

Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model

All-optical preparation of molecular ions in the rovibrational ground state

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