OBJECTIVES The objective of this study was to develop a computer-aided detection system for automated brain metastases detection using magnetic resonance black-blood imaging and compare its applicability with conventional magnetization-prepared rapid gradient echo (MP-RAGE) imaging. MATERIALS AND METHODS Twenty-six patients with brain metastases were imaged with a contrast-enhanced, 3-dimensi...

Introduction: Cardiac phase-resolved myocardial Blood-Oxygen-Level-Dependent (BOLD) MRI is expected to increase the diagnostic confidence for identifying the myocardial territories with reduced perfusion reserves (1). However, an accurate assessment of pathological changes in myocardial perfusion reserve using this approach requires an accurate alignment of phase-resolved images acquired at res...

Prokaryotic genome annotation is highly dependent on automated methods, as manual curation cannot keep up with the exponential growth of sequenced genomes. Current automated methods depend heavily on sequence composition and often underestimate the complexity of the proteome. We developed RibosomeE Profiling Assisted (re-)AnnotaTION (REPARATION), a de novo machine learning algorithm that takes ...

Bin picking refers to picking the randomly-piled objects from a bin for industrial production purposes, and robotic bin picking is always used in automated assembly lines. In order to achieve a higher productivity, a fast and robust pose estimation algorithm is necessary to recognize and localize the randomly-piled parts. This paper proposes a pose estimation algorithm for bin picking tasks usi...

Motivated by Gauss’s first proof of the Fundamental Theorem of Algebra, we study the topology of harmonic algebraic curves. By the maximum principle, a harmonic curve has no bounded components; its topology is determined by the combinatorial data of a noncrossing matching. Similarly, every complex polynomial gives rise to a related combinatorial object that we call a basketball, consisting of a...

Tracking data becomes an increasingly available sensor data resource that can be used in a range of applications related to traffic assessment and prediction. Of critical importance in this context is the amount of (i) historic and (ii) current tracking data available (data per spatial area). Using data of varying quality (sampling rate and accuracy) requires sophisticated map-matching algorith...

This paper aims at explaining the dynamics of labor markets in Spain, especially the high persistence of unemployment and the Beveridge curve. We build a stochastic dynamic general equilibrium matching model, which assumes failures in the matching between vacancies and unemployed. We calibrate the model for the Spanish economy and simulate it considering two sources of exogenous shocks: a techn...