RNO-AI@MICCAI

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)