Description
Morning session of the first day.
The discrete nature of radio interferometry measurements can be interpreted through the ``Compressed Sensing'’ (CS) acquisition theorem, which supports the idea of using a specific mechanism, called sparsity, to reconstruct images from measured data called visibilities. In Magnetic Resonance Imaging (MRI), similar observations have been made leading to a new range of MRI imaging acquisition...
Background and objectives: Cardiovascular disease (CVD) is still the leading cause of mortality. Early diagnosis of heart disease is crucial in preventing mortality. On the other hand, according to the World Health Organization, approximately 80% of deaths due to cardiovascular disease occur in low and middle-income countries. There is a lack of medical specialists in remote areas to diagnose...
One of the main targets of computer vision is to interpret the content of image and video. To interpret image content, one of the essential goals is to build a model depending on a known set of features extracted from image data. The built model is then employed to produce inference of the unknown data-set. Medical image segmentation is the part of computer vision and its target is to labeling...
The currently ongoing NASA TESS space mission is expected to observe tens of millions of stars. The resulting stellar surface brightness measurement time series (“light curves”) allow astronomers to search for specific types of stars or planets, as well as to then infer their fundamental physical parameters. Given that we can observe different types of light curves for different types of...
Motivation
Automatic speech emotion recognition (ASER) refers to a group of algorithms that deduce the emotional state of an individual from their speech utterances. The methods are deployed in a wide range of tasks, including the detection and intervention of mental disorders. State-of-the art ASER techniques have evolved from the more conventional ML based methods to the current...
PySAP (Python Sparse data Analysis Package) is an open-source, multidisciplinary image processing tool developed in collaboration between astrophysicists and biomedical imaging experts at CEA Paris-Saclay through the COSMIC project (see [Farrens et. al (2020)][1]). The objective of this collaboration being to share the image processing experience gained in different domains with the...
