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Found 4 papers, 4 papers with code
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain
We propose a novel image registration method based on implicit neural representations that addresses the challenging problem of registering a pair of brain images with similar anatomical structures, but where one image contains additional features or artifacts that are not present in the other image.
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function
In this paper, we propose a novel two-component loss for biomedical image segmentation tasks called the Instance-wise and Center-of-Instance (ICI) loss, a loss function that addresses the instance imbalance problem commonly encountered when using pixel-wise loss functions such as the Dice loss.
An automated pipeline to create an atlas of in situ hybridization gene expression data in the adult marmoset brain
We present the first automated pipeline to create an atlas of in situ hybridization gene expression in the adult marmoset brain in the same stereotaxic space.
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Recently there has been an increasing trend to use deep learning frameworks for both 2D consumer images and for 3D medical images.
