Article

BrainSignsNET: Deep Learning-Based 3D Anatomical Landmark Detection in Human Brain Imaging

2025-08-05

Abstract excerpt

Accurate detection of anatomical landmarks in brain Magnetic Resonance Imaging (MRI) scans is essential for reliable spatial normalization, image alignment, and quantitative neuroimaging analyses. In this study, we introduce BrainSignsNET, a deep learning framework designed for robust three-dimensional (3D) landmark detection. Our approach leverages a multi-task 3D convolutional neural network that integrates an a...

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Literature Corpus work: 95544dca-66d2-5480-8ffe-d8977bb8fc2b
DOI: 10.1101/2025.07.31.25332457

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