Paintings deteriorate over time due to aging and storage conditions, with cracks being a common form of degradation. Detecting and mapping these cracks is crucial for art analysis and restoration but it presents challenges. Traditional methods often …
Introduction/Purpose: Traditionally, foot and ankle alignment is quantified on 2D standing radiographs. This imagingmethod present limitations in capturing the 3D nature of our foot and ankle alignment and the obtained manualmeasurements are prone to …
This paper addresses a critical issue in seabed characterization with deep learning semantic segmentation using high-resolution Synthetic Aperture Sonar (SAS) data, that we call Catastrophic Receptive Field Overflow (CRFO). We propose novel methods, …
Functional connectivity expresses the correlation of brain activity between regions and helps in understanding and diagnosing neurological conditions and disorders. It also provides discriminative features for machine learning classifiers. We propose …
Deep subspace clustering is an effective method for clustering high-dimensional data, and it provides state-of-the-art results in clustering hyperspectral images(HSI). However, these methods typically suffer from the size of the so-called …