Brain midline delineation can facilitate the clinical evaluation of brain midline shift, which
plays an important role in the diagnosis and prognosis of various brain pathology …

To address power transmission lines (PTLs) traveling through complex environments
leading to misdetections and omissions in fitting recognition using cameras, we propose a …

Fetal death, infant morbidity and mortality are generally caused by the presence of
congenital anomalies. By performing a fetal morphology scan, the sonographer can detect …

In the past few decades, artificial intelligence has continued to develop and has been
increasingly used in medical care. Using medical images to assist doctors in diagnosing the …

Medical image analysis is a multi-discipline field of comprehensive medical imaging,
mathematical modelling, artificial intelligence and other technologies. It has key processes …

In this study, we estimate the state of the human brain from visual stimuli by regressing the
brain activity state from image features extracted from an image identification deep learning …

Non-destructive testing is a set of techniques for defect detection in materials. While the set
of imaging techniques is manifold, ultrasonic imaging is the one used the most. The analysis …

Recent progress in machine learning, in particular deep learning, and the increasingly large-
scale neuroimaging datasets, promise to improve brain-related healthcare. This dissertation …

A tumor is a tissue mass produced by an accumulation of uncontrolled cells that keeps
growing. A brain cancer is a tumor that is either framed in the cerebrum or has spread there …