TA6b.4

Multimodal Neuroimaging for Characterizing Glioma Heterogeneity – Integrating 1H MRI, 1H MRS, and Hyperpolarized-13C MRI

Yan Li, University of California, San Francisco, United States
Session:
TA6b: From Molecules to Mind: Data-Driven Multimodal Fusion in Neuroimaging Lecture
Track:
Biomedical Signal and Image Processing
Location:
Surf and Sand
Presentation Time:
Tue, 28 Oct, 11:30 - 11:55 PT (UTC -8)
Session Co-Chairs:
Vince Calhoun, Georgia State University and Rogers Silva, Georgia State University
Presentation
Discussion
Resources
No resources available.
Session TA6b
TA6b.1: Deep infant brain segmentation from multi-contrast MRI
Malte Hoffmann, Adrian Dalca, Lilla Zöllei, Harvard Medical School, United States
TA6b.2: A Hybrid K-means Clustering Algorithm for Interaction Optimization Reveals Imaging/Genomic Subtypes of Alzheimer's Disease
Jiayu Chen, Armin Iraji, Rogers Da Silva, Jingyu Liu, Vince Calhoun, Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA, United States
TA6b.3: Data-driven Methods in Simultaneous EEG-fPET-fMRI: Opportunities and Challenges
Jingyuan Chen, Massachusetts General Hospital and Harvard Medical School, United States
TA6b.4: Multimodal Neuroimaging for Characterizing Glioma Heterogeneity – Integrating 1H MRI, 1H MRS, and Hyperpolarized-13C MRI
Yan Li, University of California, San Francisco, United States
Contacts