This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

This is an important study that combines replications of findings and novel detailed MRI investigations to assess the impact of environmental enrichment and maternal behavior on mice brain structure ...

Abstract: This work is devoted to evaluating the accuracy of determining the parameters of affine transformations in an image. The parameters of the affine transformation are calculated using an ...

Additional contribution in the deep learning field is twofold: i) The autoencoder in the proposed network avoids the vanishing gradient problem using hierarchically linked features in different layers ...

A user-defined initial moving transform matrix (see usage for -r) will also be collapsed into the combined affine transform. Warp fields can also be collapsed from multiple adjacent stages of ...

An affine transformation matrix for three dimensional data is a 4x4 matrix. The top left 3x3 portion gives the linear transformation to apply to the data. For example, it could be a rotation or ...

We then set up an energy minimization process to find the affine transform of the receptive field that exactly cancels the affine transform of the image patch. If we succeed, then we conclude the two ...