Radiomics and radiogenomics in neuro-oncology: First International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, proceedings / Hassan Mohy-ud-Din, Saima Rathore (eds.).
Radiomics and Radiogenomics in Neuro-oncology using AI Workshop (1st : 2019 : Shenzhen Shi, China); Mohy-ud-Din, Hassan.; Rathore, Saima.
2020
R859.7.A78
Available Online

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Title
Radiomics and radiogenomics in neuro-oncology: First International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, proceedings / Hassan Mohy-ud-Din, Saima Rathore (eds.).
Meeting Name
Radiomics and Radiogenomics in Neuro-oncology using AI Workshop (1st : 2019 : Shenzhen Shi, China)
ISBN
9783030401245
3030401243
DOI
https://doi.org/10.1007/978-3-030-40
Published
Cham, Switzerland : Springer, [2020]
Language
English
Description
1 online resource (ix, 91 pages) : illustrations.
Item Number
10.1007/978-3-030-40 doi
Call Number
R859.7.A78
Dewey Decimal Classification
610/.285/63
006.37
006.6
Summary
This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 26, 2020).
Added Author
Mohy-ud-Din, Hassan.
Rathore, Saima.
Series
Lecture notes in computer science ; 11991.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro- Radiomics
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Multimodal MRI for Radiogenomic Analysis of PTEN Mutation in Glioblastoma
Deep radiomic features from MRI scans predict survival outcome of recurrent glio-blastoma
cuRadiomics: A GPU-based Radiomics Feature Extraction Toolkit
On validating multimodal MRI based stratification of IDH genotype in high grade gliomas using CNNs and its comparison to radiomics
Imaging signature of 1p/19q co-deletion status derived via machine learning in lower grade glioma
A feature-pooling and signature-pooling method for feature selection for quantitative image analysis: application to a radiomics model for survival in glioma
Radiomics-Enhanced Multi-Task Neural Network for Non-invasive Glioma Subtyp-ing and Segmentation.

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