Yousef Sadegheih

This work presents a trained deep registration pipeline that deformably aligns a larval brain to a reference template in a single forward pass at high spatial resolution, on volumes that hold several times more voxels than those learned 3D registration is normally reported on, together with the preprocessing and anatomy-anchored evaluation pipeline required to apply it.

Merging multiplication and addition in FPGA architectures can boost energy efficiency for image segmentation tasks by up to 9x compared to existing methods.