Fast and Accurate Monomodal 3D High Resolution Deep Registration of Drosophila Larval Brain Volumes

The paper introduces a deep learning pipeline that rapidly and accurately registers 3D high‑resolution Drosophila larval brain volumes to a shared anatomical reference. Unlike traditional methods that require per‑case optimization and minutes per brain, the trained network performs a single forward pass, handling volumes with many more voxels and maintaining high accuracy even as image quality declines. The authors benchmarked their approach against eleven classical and seven learned baselines, achieving a 23‑percentage‑point improvement in landmark‑based mutual information and registering brains one to two orders of magnitude faster.

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