Advances in optical microscopy, biosensors and cell culturing technologies have
transformed live cell imaging. Thanks to these advances live cell imaging plays an …

The representation of subsurface structures is an essential aspect of a wide variety of
geoscientific investigations and applications, ranging from geofluid reservoir studies, over …

Stain-free, single-cell segmentation and tracking is tantamount to the holy grail of
microscopic cell migration analysis. Phase contrast microscopy (PCM) images with cells at …

Convolutional neural networks (CNNs) are widely used in computer vision, but can be
deceived by carefully crafted adversarial images. In this paper, we propose an evolutionary …

Abstract Machine learning and computer vision techniques have influenced many fields
including the biomedical one. The aim of this paper is to investigate the important concept of …

The use of satellite instruments to detect and quantify methane emissions from fossil fuel
production activities is highly beneficial to support climate change mitigation. Different …

Persistence is an important concept in meteorology. It refers to surface weather or the
atmospheric circulation either remaining in approximately the same state (quasi-stationarity) …

In this work, we tackle the problem of Semi-Supervised Anomaly Segmentation (SAS) in
Magnetic Resonance Images (MRI) of the brain, which is the task of automatically identifying …

We apply computer vision and machine learning methods to analyze two datasets of
microstructural images. A transfer learning pipeline utilizes the fully connected layer of a pre …

NO x is an important primary air pollutant of major environmental concern which is
predominantly produced by anthropogenic combustion activities. NO x needs to be …