RNO-AI 2019 - Workshop Schedule

Important Information

Workshop Name: Radiomics and Radiogenomics in Neuro-oncology using AI (RNO-AI 2019)

Date and Time: October 13, 2019 from 12:30 - 16:30 PM

Venue: El Chino 6

Onsite contact person: Madhura Ingalhalikar, PhD and Qian Wang, PhD

Duration of Invited Talks: 30 minutes included Q&A

Duration of Oral Talks: 15 minutes included Q&A

Proceedings: Our book on Radiomics and Radiogenomics in Neuro-oncology is now available. It is published as part of the Lecture Notes in Computer Science by Springer. We thank the entire team of RNO-AI 2019 and the authors who contributed to the articles.

Program Schedule

12:30 - 12:45

12:45 - 13:15

13:15 - 14:15

Welcome by Hassan Mohy-ud-Din, PhD [Video]

Invited Talk: The BRATS challenge: how accurate are algorithms? by Bjoern Menze, PhD

Oral 1: On validating multimodal MRI based stratification of IDH genotype in high grade gliomas using CNNs and its comparison to radiomics

Tanay Chougule, Sumeet Shinde, Vani Santosh, Jitender Saini, and Madhura Ingalhalikar

Oral 2: Multimodal MRI for Radiogenomic Analysis of PTEN Mutation in Glioblastoma

Yiming Li, Dong Wei, Yuchao Liang, Zhiyan Sun, Xing Fan, Shaowu Li, Zhong Zhang, Tao Jiang, Xing Liu, Tianyi Qian, and Yinyan Wang

Oral 3: Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma

Ahmad Chaddad, Saima Rathore, Mellie Zhang, Christian Desrosiers, and Tamim Niazi

Oral 4: A feature-pooling and signature-pooling method for feature selection for quantitative image analysis: application to a radiomics model for survival in glioma

Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, and Leonard Wee

14:15 - 14:45

14:45 - 15:30

Invited Talk: Radiomics and Radiogenomics in Neuro-oncology: Opportunities for Precision Medicine by Pallavi Tiwari, PhD

Oral 5: cuRadiomics: A GPU-based Radiomics Feature Extraction Toolkit

Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, and Qian Wang

Oral 6: Imaging signature of 1p/19q co-deletion status derived via machine learning in lower grade glioma

Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari, and Tamim Niazi

Oral 7: Radiomics-Enhanced Multi-Task Neural Network for Non-invasive Glioma Subtyping and Segmentation

Zhiyuan Xue, Bowen Xin, Dingqian Wang, and Xiuying Wang

15:30 - 16:00

16:00 - 16:10

Invited Talk: Clinical Perspective of Computational Neuro-Oncology by Michel Bilello, MD, PhD

Closing Remarks by Madhura Ingalhalikar, PhD