Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Purpose To investigate the impact of the following three methodological pitfalls on model
generalizability:(a) violation of the independence assumption,(b) model evaluation with an …

Deep learning has achieved remarkable progress, particularly in neuroimaging analysis.
Deep learning applications have also been extended from adult to pediatric medical images …

Preterm brains commonly exhibit elevated signal intensity in the white matter on T2-
weighted MRI at term-equivalent age. This signal, known as diffuse excessive high signal …

Introduction White matter injury (WMI) is now the major disease that seriously affects the
quality of life of preterm infants and causes cerebral palsy of children, which also causes …

Accurate segmentation of punctate white matter lesions (PWMLs) are fundamental for the
timely diagnosis and treatment of related developmental disorders. Automated PWMLs …

We previously reported interhemispheric structural hyperconnectivity bypassing the corpus
callosum in children born extremely preterm (< 28 weeks) versus term children. This …

Machine learning and deep learning are two subsets of artificial intelligence that involve
teaching computers to learn and make decisions from any sort of data. Most recent …

Background Fully automatic analysis of myocardial perfusion cardiovascular magnetic
resonance imaging datasets enables rapid and objective reporting of stress/rest studies in …

Current anomaly detection methods excel with benchmark industrial data but struggle with
natural images and medical data due to varying definitions of'normal'and'abnormal.'This …