Data analysis workflows in many scientific domains have become increasingly complex and
flexible. Here we assess the effect of this flexibility on the results of functional magnetic …

Cluster division is a critical issue in fluorescence microscopy‐based analytical cytology
when preparation protocols do not provide appropriate separation of objects. Overlooking …

Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners.
We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows …

Robust identification and tracking of the pupil provides key information that can be used in
several applications such as controlling gaze-based HMIs (human machine interfaces), …

When a seismometer network records an earthquake, operators will manually review the
waveforms and identify the wave phases, a task known as phase picking. Manual phase …

Resolution in Magnetic Resonance (MR) is limited by diverse physical, technological and
economical considerations. In conventional medical practice, resolution enhancement is …

This work describes a systematic evaluation of several autofocus functions used for analytical
fluorescent image cytometry studies of counterstained nuclei. Focusing is the first step in …

We present a study of multiple sclerosis segmentation algorithms conducted at the
international MICCAI 2016 challenge. This challenge was operated using a new open-science …

Attenuation correction in hybrid PET/MR scanners is still a challenging task. This paper
describes a methodology for synthesizing a pseudo-CT volume from a single T1-weighted …

Fetal health is critically dependent on placental function, especially placental transport of
oxygen from mother to fetus. When fetal growth is compromised, placental insufficiency must be …