Background: Assessment and selection of donor lungs remains largely subjective and
experience based. Criteria to accept or decline lungs are poorly standardized and are not …

Vehicle detection in aerial videos often requires post-processing to eliminate false
detections. This paper presents a spatio-temporal processing scheme to improve automatic …

We propose a 3D convolutional neural network to simultaneously segment and detect cell
nuclei in confocal microscopy images. Mirroring the co-dependency of these tasks, our …

Accurate detection and classification of primary cilia in microscopy images is an essential
and fundamental task for many biological studies including diagnosis of primary ciliary …

Objectives: Small airways disease (SAD) is a major cause of airflow obstruction in COPD
patients, and has been identified as a precursor to emphysema. Although the amount of …

Accurate segmentation of 3-D cell nuclei in microscopy images is essential for the study of
nuclear organization, gene expression, and cell morphodynamics. Current image …

Image inpainting was generally done physically by artists to remove deformity from works of
art and photos. To cover the area of target or missing data from a signal, utilizing …

Abstract Machine learning methodologies can provide viable solutions to a wide range of
complex real-world problems. However, in practice, issues such as data noise, class …

Detecting, counting, and classifying objects represent the most primary and challenging
tasks in the field of computer vision. In the signal, image, and video processing domain, it is …