Workshop Name: Radiomics and Radiogenomics in Neuro-oncology using AI (RNO-AI 2020)
Date and Time: October 8, 2020 (Thursday) from 14:00 - 18:20 UTC
Venue: Online Zoom meeting
Onsite contact person: Dr. Hassan Mohy-ud-Din, Dr. Saima Rathore, and Dr. Madhura Ingalhalikar
Duration of Invited Talks: 30 minutes included Q&A
Duration of Oral Talks: 15 minutes included Q&A
14:00 - 14:15 UTC
14:15 - 14:45 UTC
14:45 - 15:45 UTC
Welcome by Hassan Mohy-ud-Din, PhD
Keynote 1: Robust & Explainable Deep Learning Algorithms for Radiological Systems by Ulas Bagci, PhD
Oral 1: Local binary and ternary patterns based quantitative texture analysis for assessment of IDH genotype in gliomas on multi-modal MRI
Sonal Gore, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar, and Jayant Jagtap
Oral 2: Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics: Machine Learning model development and external validation
Yae Won Park, Ji Eun Park, Sung Soo Ahn, Hwiyoung Kim, Ho Sung Kim, and Seung-Koo Lee
Oral 3: Using functional Magnetic Resonance Imaging and personal characteristics features for detection of neurological conditions
Batool Rathore, Muhammad Awais, Muhammad Usama Usman, Imran Shafi, and Waqas Ahmed
Oral 4: Brain tumor survival prediction using radiomic features
Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, and Ulas Bagci
15:55 - 16:25 UTC
16:25 - 17:10 UTC
Keynote 2: Radiomics & Radiogenomics with Deep Learning in Neuro-oncology by Jayashree Kalpathy-Cramer, PhD
Oral 5: Overall survival prediction in gliomas using region-specific radiomic features
Asma Shaheen, Stefano Burigat, Ulas Bagci, and Hassan Mohy-ud-Din
Oral 6: Radiogenomics of glioblastoma: Identification of radiomics associated with molecular subtypes
Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, and Hongliang Ren
Oral 7: Automated multi-class brain tumor types detection by extracting RICA based features and employing machine learning techniques
Sadia Anjum, Lal Hussain, Mushtaq Ali, and Adeel Ahmed Abbasi
17:20 - 17:50 UTC
17:50 - 18:00 UTC
Keynote 3: Machine Learning and Glioma Imaging Biomarkers by Thomas C. Booth, MBBS, PhD
Closing Remarks by Dr. Hassan Mohy-ud-Din