Watershed is a widespread technique for image segmentation. Many researchers apply the
method implemented in open source libraries without a deep understanding of its …

Advances in fluorescence microscopy enable monitoring larger brain areas in-vivo with finer
time resolution. The resulting data rates require reproducible analysis pipelines that are …

When investing in financial markets it is crucial to determine a trading signal that can provide
the investor with the best entry and exit points of the financial market, however this is a …

Quantitative analysis of plant and animal morphogenesis requires accurate segmentation of
individual cells in volumetric images of growing organs. In the last years, deep learning has …

Integrated Computational Materials Engineering (ICME) aims to accelerate optimal design of
complex material systems by integrating material science and design automation. For …

Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field
of affective computing have yielded impressive progress in automatically detecting facial …

Positional information is essential for coordinating the development of multicellular
organisms. In plants, positional information provided by the hormone auxin regulates …

Synchrotron-based x-ray tomography is a noninvasive imaging technique that allows for
reconstructing the internal structure of materials at high spatial resolutions from tens of …

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 …

The health status of an elderly person can be identified by examining the additive effects of
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …