Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …

Abstract Machine learning is playing an increasingly important role in medical image
analysis, spawning new advances in the clinical application of neuroimaging. There have …

Alzheimer's disease (AD) is an irreversible, progressive, and ultimately fatal brain
degenerative disorder, no effective cures for it till now. Despite that, the available treatments …

Healthcare is a high-priority sector where people expect the highest levels of care and
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …

In clinical settings, where acquisition conditions and patient populations change over time,
continual learning is key for ensuring the safe use of deep neural networks. Yet most …

Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …

Deep learning segmentation algorithms can produce reproducible results in a matter of
seconds. However, their application to more complex datasets is uncertain and may fail in …

The hippocampus is closely related to many brain diseases, such as Alzheimer's disease.
Accurate measurement of the hippocampus is helpful for clinicians in identifying lesions and …

The hypothalamus is a small brain structure that plays essential roles in sleep regulation,
body temperature control, and metabolic homeostasis. Hypothalamic structural …

Accurate segmentation of the hippocampus from the brain magnetic resonance images
(MRIs) is a crucial task in the neuroimaging research, since its structural integrity is strongly …