Workshop Title:

Workshop on Neuroimaging Quantification for Precision Medicine 2023 (WNQPM 2023)

Date:

August 17/18/24/25/31st, 2023 (GMT+12)

Organizer:

Faculty of Medical and Health Sciences and Bioengineering Institute, The University of Auckland

Keywords:

Neuroimaging Data Analysis
Precision Medicine
Deep Learning
Artificial Intelligence
Brain Connectivity

Workshop Chair:

Dr. Alan Wang
Associate Professor in The University of Auckland

Personal Bio:

Alan Wang is a principal investigator and Associate Professor at The University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, data informatics, neurocomputing, and biomedical statistics and simulation. He has developed medical data analytics methods for mobile health and personalized diagnosis and prognosis based on intelligent computing theories. He has experience analyzing huge cohorts of patient data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.

Workshop Description:

Background:

Neuroimaging Quantification for Precision Medicine (NQPM) is playing an increasingly important role in diagnosis and treatment of neurological diseases and the healthcare of patients with mental disorders, especially after the booming of artificial intelligence. NQPM can reveal diagnostically valuable knowledge from multidimensional and multimodal neuroimaging data, providing fast, accurate, and helpful guidance for the diagnosis/prognosis of different neurological diseases. With the rapid development of artificial intelligence and parallel computing, NQPM involves multidisciplinary technologies such as radiology, neurology, pathology, computer science, artificial intelligence, machine learning, image processing, pattern recognition, computer vision, statistics, informatics, and visualization. It can automatically and intelligently extract valuable information from big medical data and combines prior knowledge to improve clinical performance.

Goal/Rationale:

Workshop on Neuroimaging Quantification for Precision Medicine 2023 (WNQPM 2023), aims to bring together medical doctors, scientists, engineers, and students to discuss the latest advances in interdisciplinary research on AI for neuroimaging data analysis with clinical applications using machine learning and artificial intelligence techniques/methods. This workshop is designed to introduce neuroimaging quantification methods and connect them with applications at the University of Auckland that can leverage AI in research, such as early diagnosis of neurodegenerative diseases such as AD/MCI, PD etc., and intelligent computing for brain tumor, stroke recovery prediction and precision rehabilitation, etc..

Scope and Information for Participants:

Detailed research topics include, but are not limited to:

multimodal neuroimaging analysis
graph theory and complex network analysis
longitudinal brain data analysis
model interpretability and scalability in neuroimaging analysis
multi-source and multi-site brain data integration and quantification
harmonization and transfer learning in neuroimaging
unsupervised methods for classifying brain disorders
deep learning in neuroimaging analysis
cross-modality pseudo neuroimaging data generation
model uncertainty in predicting mental disorders
neuroimaging biomarker discovery
treatment/intervention outcome prediction
post-stroke recovery prediction
neurodegenerative diseases
neurogenetics and neuroimaging genetics
brain mechanistic modeling
brain aging
databases to stimulate developments in intelligent neuroimaging quantifications for precision medicine

Venue:

Grafton, Auckland 1023, New Zealand

VISA:

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