Foundation model, which is pre-trained on broad data and is able to adapt to a wide range
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …

Autism spectrum disorder (ASD) is identified by a set of neurodevelopmental divergences
that typically affect the social communication domain. ASD is also characterized by …

The emerging trend of advancing generalist artificial intelligence, such as GPTv4 and
Gemini, has reshaped the landscape of research (academia and industry) in machine …

The detection of hepatitis B surface antigen (HBsAg) is critical in diagnosing hepatitis B virus
(HBV) infection. However, existing clinical detection technologies inevitably cause certain …

Mapping neural connections within the brain has been a fundamental goal in neuroscience
to understand better its functions and changes that follow aging and diseases …

The main olfactory bulb is the key element of the olfactory pathway of rodents. To precisely
dissect the neural pathway in the main olfactory bulb (MOB), it is necessary to construct the …

Light-sheet microscopy has made possible the 3D imaging of both fixed and live biological
tissue, with samples as large as the entire mouse brain. However, segmentation and …

Automated segmentation of brain images is a critical task in neuroscience for brain
registration, atlas generation, etc. Deep learning techniques have been widely investigated …

The identification research of hydrogenation catalyst information has always been one of the
most important businesses in the chemical industry. In order to aid researchers in efficiently …

Motivation The full automation of digital neuronal reconstruction from light microscopic
images has long been impeded by noisy neuronal images. Previous endeavors to improve …