Developing advanced analytic techniques to process neuroimaging data is crucial in advancing our understanding of the human brain structure and function. Most traditional image processing methods are unable to meet the accuracy and efficiency requirements of clinical practice and neuroscience research. On the other hand, advanced data processing methods such as artificial intelligence have yielded promising results.
In this Research Topic, we will focus on developing and optimizing artificial intelligence methods in brain image analysis, including but not limited to the following applications:
- image classification
- image segmentation
- image localization
- image registration
- image denoising
- image reconstruction
In addition, studies using novel processing methods and tools to solve neuroimaging-related clinical or neuroscience questions (e.g., neuropsychiatric disease diagnosis) are also within the scope of this Research Topic.
This Research Topic will cover important methodological questions and novel applications in neuroimaging data analysis for fetal, infant, adolescent, and adult brain images. It will benefit neuroscientists and clinicians by introducing state-of-the-art artificial intelligence techniques that will elevate the accuracy and efficiency of neuroimaging data processing. As a result, this will advance the understanding of the human brain, which may assist in early diagnosis and developing intervention and/or surgery in patients with brain disorders.
Developing advanced analytic techniques to process neuroimaging data is crucial in advancing our understanding of the human brain structure and function. Most traditional image processing methods are unable to meet the accuracy and efficiency requirements of clinical practice and neuroscience research. On the other hand, advanced data processing methods such as artificial intelligence have yielded promising results.
In this Research Topic, we will focus on developing and optimizing artificial intelligence methods in brain image analysis, including but not limited to the following applications:
- image classification
- image segmentation
- image localization
- image registration
- image denoising
- image reconstruction
In addition, studies using novel processing methods and tools to solve neuroimaging-related clinical or neuroscience questions (e.g., neuropsychiatric disease diagnosis) are also within the scope of this Research Topic.
This Research Topic will cover important methodological questions and novel applications in neuroimaging data analysis for fetal, infant, adolescent, and adult brain images. It will benefit neuroscientists and clinicians by introducing state-of-the-art artificial intelligence techniques that will elevate the accuracy and efficiency of neuroimaging data processing. As a result, this will advance the understanding of the human brain, which may assist in early diagnosis and developing intervention and/or surgery in patients with brain disorders.