Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

Evaluating various algorithms for the inter-subject registration of brain magnetic resonance
images (MRI) is a necessary topic receiving growing attention. Existing studies evaluated …

Metaheuristics are techniques that use approximate and intuitive strategies to quickly find
near-optimal solutions of complex optimization problems. A number of outstanding …

The work reported in this paper aims at the development of evolutionary algorithms to
register images for signature recognition purposes. We propose and develop several …

Deformable image registration is typically formulated as an optimization problem involving a
linearly weighted combination of terms that correspond to objectives of interest (eg similarity …

The main aim of the reported work is to solve the registration problem for recognition
purposes. We introduce two new evolutionary algorithms (EA) consisting of population …

Evolutionary algorithms have been used recently as an alternative in image registration,
especially in cases where the similarity function is non‐convex with many local optima …

Radiologists spend a lot of time and effort sifting through CT scans to find cancerous lung
lesions. Using image processing techniques, a new diagnostic tool for medical purposes …

This paper presents a predictive model for estimating regularization parameters of
diffeomorphic image registration. We introduce a novel framework that automatically …

The parametrization of automatic image processing routines is time-consuming if a lot of
image processing parameters are involved. An expert can tune parameters sequentially to …