Describes a genetically guided approach to optimizing the hard (J/sub 1/) and fuzzy (J/sub m/)
c-means functionals used in cluster analysis. Our experiments show that a genetic …

Performance of automated methods to isolate brain from nonbrain tissues in magnetic
resonance (MR) structural images may be influenced by MR signal inhomogeneities, type of MR …

Due to the increasing need for subject privacy, the ability to deidentify structural MR images
so that they do not provide full facial detail is desirable. A program was developed that uses …

Today’s science increasingly requires effective ways to find and access existing datasets
that are distributed across a range of repositories. For researchers in the life sciences, …

Investigators perform multi-site functional magnetic resonance imaging studies to increase
statistical power, to enhance generalizability, and to improve the likelihood of sampling …

Background Improving rigor and transparency measures should lead to improvements in
reproducibility across the scientific literature; however, the assessment of measures of …

… of Geneva, Geneva, Switzerland I Burak Ozyurt is in the Center for Research in Biological
Systems… I Burak Ozyurt: works as a consultant for SciCrunch. The other authors declare that no …

Managing vast datasets collected throughout multiple clinical imaging communities has
become critical with the ever increasing and diverse nature of datasets. Development of data …

The ever accelerating pace of biomedical research results in corresponding acceleration in
the volume of biomedical literature created. Since new research builds upon existing …

Neural language representation models such as BERT [ 1 ] have recently shown state of the
art performance in downstream NLP tasks and bio-medical domain adaptation of BERT (Bio-…