Despite the surge of deep learning in the past decade, some users are skeptical to deploy these models in practice due to their black-box nature.
Generative Adversarial Networks (GANs) have shown promise in augmenting datasets and boosting convolutional neural networks' (CNN) performance on image classification tasks.
Beyond unicellular and multicellular organisms, there is a third type of structural complexity in living animals: that of the mechanical self-assembly of groups of distinct multicellular organisms into dynamical, functional structures.
To avoid the ill-posedness, we investigate the effect of regularizing the phase retrieval algorithm with image priors for various overlap ratios between the neighboring diffraction patterns.
The utilization of computational photography becomes increasingly essential in the medical field.
We propose a self-supervised learning-based algorithm for LF video reconstruction from stereo video.
Computed tomography is widely used to examine internal structures in a non-destructive manner.
The use of computed tomography (CT) imaging has become of increasing interest to academic areas outside of the field of medical imaging and industrial inspection, e. g., to biology and cultural heritage research.
We introduce a system and methods for the three-dimensional measurement of extended specular surfaces with high surface normal variations.