Radiological Society of North America (RSNA) Annual Meeting

Several ITCR investigators will be attending the Radiological Society of North America (RSNA) Annual Meeting in Chicago, November 25-30, 2018. Download the schedule for the presentations by ITCR investigators.

RSNA Annual Meeting, November 25-30, 2018

Link to the Meeting Program, search by session code.

Date/Time Session Name Session Code Session Location ITCR Investigator Presentation Title
Every Day Meet the Experts QRR001 QIRR, Learning Center Jayashree Kalpathy-Cramer, Bruce Rosen DeepNeuro: Easy-To-Use and Validated Deep Learning Tools for Neuroimaging Analysis
Every Day Meet the Experts QRR003 QIRR, Learning Center Jayashree Kalpathy-Cramer, Andrey Fedorov, Ron Kikinis, Gordon Harris DICOM4QI Demonstration and Connectathon: Structured Communication of Quantitative Image Analysis Results Using the DICOM Standard
Every Day Meet the Experts AI030 AI Community, Learning Center Jayashree Kalpathy-Cramer, Gordon Harris Crowds Cure Cancer: Help Annotate Data from the Cancer Imaging Archive
Every Day Meet the Experts QRR002 QIRR, Learning Center Andrey Fedorov, Ron Kikinis The 3D Slicer Open-Source Software Platform for Translational Research in Quantitative Imaging
Every Day Meet the Experts QRR020 QIRR, Learning Center Christos Davatzikos, Despina Kontos Cancer Imaging Phenomics Toolkit (CaPTk): A Software Platform Leveraging Quantitative Radio(geno)mic Analytics for Computational Oncology
Every Day Computer-Based Exhibit AI022-EC-X N/A Hiro Yoshida The Next Step in Electronic Cleansing for CT Colonography: Unsupervised Machine Learning
Every Day Education Exhibit GI302-ED-TUA12-ALL Learning Center Hiro Yoshida Computer-Aided Detection (CADe) for CT Colonography: Benefits and Pitfalls

Sunday

2:00-3:30 PM Tumor Imaging Metrics: Is it Time to Invest in a Service? RC118 Room S504AB Gordon Harris Should Every Radiology Department Invest in a Quantitative Imaging Lab?

Monday

8:30-12:00 PM Neuroradiology Series: Brain Tumors RC205 Room S406B Anant Madabhushi Probabilistic Atlases of Pre-Treatment MRI Reveal Hemispheric and Lobe-Specific Spatial Distributions across Molecular Sub-Types of Diffuse Gliomas
8:30-12:00 PM Breast Series: Hot Topics  RC215 Arie Crown Theater Despina Kontos Radiomic Phenotypes of Tumor Heterogeneity from Pre-Operative DCE-MRI Predict Breast Cancer Recurrence after 10-Year Follow-Up: Phenotype Discovery and Independent Validation
8:30-12:00 PM Breast Series: Hot Topics RC215 Arie Crown Theater Anant Madabhushi Novel Radiomic Descriptor of Tumor Vascular Morphology Identifies Responders to Neo-Adjuvant Chemotherapy on Pre-Treatment Breast MRI
10:30-12:00 PM Science Session with Keynote: Informatics (Artificial Intelligence in Radiology: Bleeding Edge) SSC09 Room E450A Hugo Aerts Non-invasive Tracking of Cancer Evolution using Deep Learning-Based Longitudinal Image Analysis
12:15-12:45 PM Breast Monday Poster Discussions BRS-MOA Learning Center Despina Kontos Volumetric versus Area-based Breast Density Assessment: Comparisons using Fully-Automated Quantitative Measurements in a Large Screening Population
3:00-4:00 PM Breast Imaging (Breast Density and Risk Assessment) SSE01 Room E451B Despina Kontos The Effect of Screening Modality and Race on BI-RADS Breast Density in a Large Urban Screening Cohort
4:30-6:00 PM Special Interest Session: Demystifying Machine Learning and Artificial Intelligence for the Radiologist SPSI24 Room E451A Jayashree Kalpathy-Cramer The Reality: Current Application of Machine Learning and Artificial Intelligence in Clinical Radiology and Research

Tuesday

12:15-12:45 PM Artificial Intelligence Tuesday Poster Discussions AIS-TUA Learning Center Hugo Aerts Transfer-Learning for Imaging-Based Lung Cancer Stratification

Wednesday

8:30-10:00 AM Deep Learning: Applying Machine Learning to Multi-disciplinary Precision Medicine Data Sets RC553 Room E451B Joel Saltz, Hugo Aerts Deep Learning: Applying Machine Learning to Multi-disciplinary Precision Medicine Data Sets
8:30-12:00 PM Neuroradiology Series: Stroke RC505 Room E450A Jayashree Kalpathy-Cramer Volumetric Segmentation of Acute Brain Infarcts on Diffusion-Weighted Imaging using Deep Learning
3:00-4:00 PM Science Session with Keynote: Breast Imaging (Risk-Based Screening: Should We Do It?) SSM02 Room E350 Despina Kontos The Effect of Screening Modality and Race on BI-RADS Breast Density in a Large Urban Screening Cohort
3:00-4:00 PM Cardiac (Arrhythmia and Electrophysiology) SSM04 Room S103AB Anant Madabhushi Radiographic Features of Pulmonary Veins Morphology from Chest CT Predicts Risk of Post-Ablation Atrial Fibrillation
3:00-4:00 PM Informatics (Quantitative Imaging) SSM12 Room E353B Anant Madabhushi Chaos-Based Fractal Radiomic Features of Nodule Vasculature Distinguish Granulomas from Adenocarcinomas on Non-Contrast Lung CT

Thursday

10:30-12:00 PM Novel Discoveries Using the NCI's Cancer Imaging Archive (TCIA) Public Data Sets RCC52 Room S501ABC Jayashree Kalpathy-Cramer, Andrey Fedorov Novel Discoveries Using the NCI's Cancer Imaging Archive (TCIA) Public Data Sets
10:30-12:00 PM Chest (Radiomics) SSQ04 Room E353A Anant Madabhushi Combination of Intra- and Peri-Tumoral Radiomic Features on Baseline CT are Prognostic of Recurrence and Overall Survival in Early Stage Non-Small Cell Lung Cancer (ES-NSCLC) Patients
3:00-4:00 PM Hot Topic Session: Biomarker and Personalized Medicine in Lung Cancer Imaging SPSH52 Room E350 Hugo Aerts Using Artificial Intelligence to Develop Non-invasive Biomarkers in Lung Cancer
4:30-6:00 PM Machine Learning for Radiotherapy Applications RC722 Room N227B Jayashree Kalpathy-Cramer Machine Learning Tumor Classification
Publish Date:  Tuesday, November 13, 2018