3D Multimodal Visualization of Medical Data: Applied to Perfusion-Weighted MRI
Author:
Affiliation:
1. University of Poitiers,XLIM laboratory,Poitiers,France
2. University of Poitiers,LMA laboratory,Poitiers,France
3. Lebanese University,AZM center for research in biotechnology,Tripoli,Lebanon
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10292995/10292942/10293096.pdf?arnumber=10293096
Reference13 articles.
1. 3D Modeling for Multimodal Visualization of Medical Data
2. Partial-volume model for determining white matter and gray matter cerebral blood volume for analysis of gliomas
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4. A Review of Publicly Available Automatic Brain Segmentation Methodologies, Machine Learning Models, Recent Advancements, and Their Comparison
5. Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors
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1. Diagnostic and Therapeutic Issues in Glioma Using Imaging Data: The Challenge of Numerical Twinning;Journal of Clinical Medicine;2023-12-15
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