Multimodal Brain Image Analysis [electronic resource] : First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings / edited by Tianming Liu, Dinggang Shen, LUIS IBANEZ, Xiaodong Tao.
Contributor(s): Liu, Tianming [editor.]
| Shen, Dinggang [editor.] | IBANEZ, LUIS [editor.] | Tao, Xiaodong [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 7012Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: IX, 162 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642244469.Subject(s): Pattern recognition systems | Computer vision | Computer graphics | Artificial intelligence | Algorithms | Radiology | Automated Pattern Recognition | Computer Vision | Computer Graphics | Artificial Intelligence | Algorithms | RadiologyAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
In:
Springer Nature eBookSummary: This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
No physical items for this record
This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
There are no comments for this item.