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RNO-AI@MICCAI
2020
2020
2020
Keyphrases
Publications
volume 11991, 2020
Radiomics and Radiogenomics in Neuro-oncology - First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings
RNO-AI@MICCAI
11991 (2020)
2019
Saima Rathore
,
Ahmad Chaddad
,
Nadeem Haider Bukhari
,
Tamim Niazi
Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma.
RNO-AI@MICCAI
(2019)
Ahmad Chaddad
,
Mingli Zhang
,
Christian Desrosiers
,
Tamim Niazi
Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma.
RNO-AI@MICCAI
(2019)
Yining Jiao
,
Oihane Mayo Ijurra
,
Lichi Zhang
,
Dinggang Shen
,
Qian Wang
cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit.
RNO-AI@MICCAI
(2019)
Zhenwei Shi
,
Chong Zhang
,
Inge Compter
,
Maikel Verduin
,
Ann Hoeben
,
Danielle Eekers
,
Andre Dekker
,
Leonard Wee
A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma.
RNO-AI@MICCAI
(2019)
Tanay Chougule
,
Sumeet Shinde
,
Vani Santosh
,
Jitender Saini
,
Madhura Ingalhalikar
On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics.
RNO-AI@MICCAI
(2019)
Syed Muhammad Anwar
,
Tooba Altaf
,
Khola Rafique
,
Harish RaviPrakash
,
Hassan Mohy-ud-Din
,
Ulas Bagci
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology.
RNO-AI@MICCAI
(2019)
Zhiyuan Xue
,
Bowen Xin
,
Dingqian Wang
,
Xiuying Wang
Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation.
RNO-AI@MICCAI
(2019)
Kaustav Bera
,
Niha G. Beig
,
Pallavi Tiwari
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology.
RNO-AI@MICCAI
(2019)
Ashish Singh
,
Michel Bilello
Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro-Radiomics.
RNO-AI@MICCAI
(2019)