Nuclear lamin isoforms form fibrous meshworks associated with nuclear pore complexes
(NPCs). Using datasets prepared from subpixel and segmentation analyses of 3D …

We present SplineDist, an instance segmentation convolutional neural network for
bioimages extending the popular StarDist method. While StarDist describes objects as …

An increasing number of patients with multiple brain metastases are being treated with
stereotactic radiosurgery (SRS). Manually identifying and contouring all metastatic lesions is …

Sample rate conversion (SRC) is ubiquitous and critical function of software defined radio
and other signal processing systems (speech coding and synthesis, computer simulation of …

The distributed acoustic sensor (DAS) offers a new versatile tool for geophysical
applications. The system allows seismic signals to be recorded along tens of kilometers of …

Injection methods are a very efficient means to compute synthetic seismograms of short-
period teleseismic body waves in 3-D regional models. The principle is to inject an incident …

In the last two decades, due to the use of total variation (TV) denoising, variation models for
image reconstruction have achieved great success. Compare to some known variation …

Data acquired by the Virgo interferometer during the second part of the O3 scientific run,
referred to as O3b, were analysed with the aim of characterising the onset and time …

We develop a novel 2D functional learning framework that employs a sparsity-promoting
regularization based on second-order derivatives. Motivated by the nature of the regularizer …

The integration of numerical simulation and experimental measurements in cellular
materials at the sub-cellular scale is a real challenge. On the experimental side, the almost …