Optical coherence tomography (OCT), a noninvasive diagnostic technology for identifying and treating various ocular diseases, encounters a loss of image quality due to the introduction of speckles ...

The Encoder-Decoder architecture is a prevalent design in deep learning, especially for tasks like image-to-image translation, which includes use-cases such as image dehazing, segmentation, and ...

Expanding further involves altering the layer list provided as a parameter in both the encoder and the decoder. Maintaining the basic residual block simplifies the expansion process. However, ...

Such a capability is essential to making AI-based surrogate models practically useful. While simple feedforward networks are used for one-dimensional (1D) Poisson equation, an encoder-decoder ...

This despeckling architecture consists of an encoder network having the topology of ResNet34, whose certain feature vectors are passed through nonlocal (NL) neural network blocks and a novel subband ...