成功完成注册后,我们将为您出具参加本次会议的正式邀请函。 An official invitation letter will be provided upon successful registration for your participation in the conference.
全体会议、主旨报告及分会场。Plenary, keynote and parallel sessions.
与各国科研人员建立联系。Connect with fellow researchers.
颁发电子版参会证书。Digital certificate of participation.
注册成功后出具正式邀请函。Official letter after successful registration.
电子论文集及相关资源材料。E-proceedings & resource materials.
向知名专家与学者学习交流。Learn from leading experts & scholars.
本次会议的各分会场议题有力支持以下可持续发展目标(SDGs)。 The conference's session tracks effectively support the following SDGs.
This session will explore the latest developments in magnetic resonance imaging technologies and their applications in neuroscience. Emphasis will be placed on novel methodologies that enhance image resolution and acquisition speed.
This track will focus on the study of functional connectivity in the human brain using advanced neuroimaging techniques. Participants will discuss how these connections relate to cognitive functions and neurological disorders.
This session will highlight the role of diffusion tensor imaging in understanding white matter integrity and its implications for various neurological conditions. Case studies will be presented to illustrate its clinical utility.
This track will delve into the intricacies of brain structure mapping and its significance in neuroanatomy. Presentations will cover both traditional and cutting-edge imaging techniques used to delineate brain regions.
This session will examine the identification and validation of imaging biomarkers for various neurological disorders. Discussions will focus on how these biomarkers can aid in diagnosis and treatment planning.
This track will address the application of positron emission tomography in the study of neurodegenerative diseases. Participants will explore how PET imaging contributes to understanding disease progression and therapeutic responses.
This session will showcase innovative approaches in functional magnetic resonance imaging methodologies. The focus will be on enhancing data acquisition and analysis techniques to better understand brain function.
This track will investigate the role of neuroimaging techniques in understanding mental health disorders. Presenters will discuss how imaging can illuminate the neurobiological underpinnings of conditions such as depression and anxiety.
This session will explore the integration of machine learning algorithms in the analysis of neuroimaging data. Participants will discuss the potential of these technologies to improve diagnostic accuracy and predictive modeling.
This track will address the ethical implications associated with neuroimaging research, particularly in clinical settings. Discussions will focus on patient consent, data privacy, and the responsible use of imaging technologies.
This session will highlight the translation of neuroimaging research findings into clinical practice. Emphasis will be placed on collaborative efforts between researchers and clinicians to enhance patient outcomes.