Several ITCR investigators will be attending the Radiological Society of North America (RSNA) Annual Meeting in Chicago, December 1-6, 2019. Download the schedule for the presentations by ITCR investigators.
RSNA Annual Meeting, December 1-6, 2019
Link to the Meeting Program, search by session code.
| Date/Time | Session Name | Session Code | Session Location | Associated ITCR Investigator | Presentation Title |
|---|---|---|---|---|---|
| Every Day | Exhibit | IN022-EC-X | Learning Center | Andrey Fedorov, Ron Kikinis | 3D Slicer: A Community-Based Open Source Platform for Processing and 3D Visualization of DICOM Images |
| Every Day | Exhibit | BR144-ED-X | Learning Center | Despina Kontos | A Primer on Machine Learning and Artificial Intelligence Applications in Breast Imaging |
| Every Day | Exhibit | AI050 | Learning Center | Gordon Harris | NCI Crowds Cure Cancer: Help Annotate Data from the Cancer Imaging Archive |
| Every Day | Exhibit | IN024-EC-X | Learning Center | Gordon Harris | Interactive Web-Based Imaging Response Assessment Training Application for Cancer Clinical Trials |
| Every Day | Exhibit | GI226-ED-X | Learning Center | Hiro Yoshida | Artificial intelligence (AI) for CT Colonography: The New Horizons of Colorectal Screening |
| Every Day | Exhibit | GI269-ED-X | Learning Center | Hiro Yoshida | AI for Electronic Cleansing in Non-Cathartic CT Colonography |
| Every Day | Exhibit | AI001-EC-X | Learning Center | Hiro Yoshida | Virtual Reality of Self-Supervised Generative Adversarial Learning in Electronic Cleansing for CT Colonography |
Sunday |
|||||
| 12:30-1:00 PM | Informatics Sunday Poster Discussions | INS-SUA | Learning Center | Andrey Fedorov | National Cancer Institute Imaging Data Commons |
| 12:30-1:00 PM | Artificial Intelligence Sunday Poster Discussions | AIS-SUA | Learning Center | Daniel Rubin | Optimizing Distributed Deep Learning Methods for Medical Image Data Heterogeneity Across Institutions |
| 4:00-5:30 PM | Creating Publicly Accessible Radiology Imaging Resources for Machine Learning and AI | RCC13 | E353C | Jayashree Kalpathy-Cramer | Creating Publicly Accessible Radiology Imaging Resources for Machine Learning and AI |
Monday |
|||||
| 7:15-8:15 AM | Hot Topic Session: Radiomics in Thoracic Imaging | SPSH20 | E350 | Hugo Aerts | Deep Learning for Lung Screening |
| 7:15-8:15 AM | Hot Topic Session: Radiomics in Thoracic Imaging | SPSH20 | E350 | Hugo Aerts | Using AI-Radiomics for Cancer Charcterization |
| 7:15-8:15 AM | Hot Topic Session: Radiomics in Thoracic Imaging | SPSH20 | E350 | Hugo Aerts | AI-Based Radiomic Biomarkers at the Intersection of Oncology and Cardiology |
| 8:30-12:00 PM | Breast Series: MRI | RC215 | Arie Crown Theater | Despina Kontos, Christos Davatzikos | DCE-MRI Biomarkers of Changes in Peri-Tumoral and Intra-Tumoral Heterogeneity for Improving Early Prediction of Survival after Neoadjuvant Chemotherapy for Breast Cancer |
| 8:30-12:00 PM | Neuroradiology Series: AI in Neuroradiology | RC205 | S406B | Jayashree Kalpathy-Cramer | Brain Tumors and Other Lesions: How will AI Help? |
| 8:30-12:00 PM | Neuroradiology Series: AI in Neuroradiology | RC205 | S406B | Jayashree Kalpathy-Cramer | Hot Topic Panel: When is an AI Algorithm Ready for Clinical Practise? |
| 10:30-12:00 PM | Novel Discoveries Using the NCI's TCIA Public Data Sets | RCC22 | E353A | Jayashree Kalpathy-Cramer | Crowds Cure Cancer |
| 10:30-12:00 PM | Chest (Radiomics-Malignancy) | SSC03 | E451A | Despina Kontos | Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) on Computed Tomography |
| 10:30-12:00 PM | Chest (Radiomics-Malignancy) | SSC03 | E451A | Despina Kontos | Correlation-Incorporated Hierarchical Clustering of High-Dimensional Radiomic Features for Prognostic Phenotype Identification of EGFR-Mutated Non-Small Cell Lung Cancer |
| 3:00-4:00 PM | Informatics (Artificial Intelligence: Triage, Screeing, Quality) | SSE14 | S406B | Daniel Rubin | Using Out of Distribution Detection to Fix Nearly All AI Models in Medical Imaging |
| 3:00-4:00 PM | Gastrointestinal (Artificial Intelligence and Machine Learning) | SSE09 | N230B | Hiro Yoshida | AI for Detecting Serrated Polyps in CT Colonography |
Tuesday |
|||||
| 8:30-12:00 PM | Cardiac Series: Emerging Cardiovascular MR and CT Imaging | RC303 | E350 | Hugo Aerts | Deep Learning Quantification of Coronary Calcium on CT and Mortality in the National Lung Screening Trial (NLST) |
| 10:30-12:00 PM | Tuesday Morning Plenary Session | PS31 | E451B | Anant Madabhushi | Radio-Patho-Genomics: Computationally Integrating Disease Specific Features Across Scales |
| 12:15-12:45 PM | Informatics Tuesday Poster Discussions | INS-TUA | Learning Center | Christos Davatzikos | Interactively-Trained Segmentation Tool Leveraging Machine Learning and Geodesic Distance |
| 12:15-12:45 PM | Informatics Tuesday Poster Discussions | INS-TUA | Learning Center | Gordon Harris | Using the Open Health Imaging Foundation (OHIF) Framework to Build Web-Based Imaging Applications |
| 12:15-12:45 PM | Informatics Tuesday Poster Discussions | INS-TUA | Learning Center | Daniel Rubin | The Quantitative Image Feature Pipeline (QIFP): Automated Computation of Quantitative Image Features for Prediction of Clinical Characteristics (e.g., Malignancy, Response to Therapy, Overall Survival) in Subject Cohorts |
| 3:00-4:00 PM | Breast Imaging (Artificial Intelligence in Mammography) | SSJ02 | E451B | Despina Kontos | Deep-Learned Mammographic Phenotypes Indicate Racial Differences in Breast Parenchymal Patterns |
Wednesday |
|||||
| 8:30-10:00 AM | Radiomics: Promise and Challenges | RC525 | S102CD | Hugo Aerts | An Overview of Radiomics |
| 8:30-10:00 AM | Radiomics: Promise and Challenges | RC525 | S102CD | Hugo Aerts | From Radiomics to Radiogenomics |
| 8:30-10:00 AM | Radiomics: Promise and Challenges | RC525 | S102CD | Hugo Aerts | Challenges for Radiomics and Radiogenomics |
| 8:30-10:00 AM | Machine Learning for Radiotherapy Applications | RC522 | E352 | Jayashree Kalpathy-Cramer | Machine Learning Tumor Classification |
Thursday |
|||||
| 8:30-10:00 AM | Radiomics: Informatics Tools and Databases | RC625 | E352 | Jayashree Kalpathy-Cramer | The Role of Challenges and Their Requirements |
| 8:30-10:00 AM | Radiomics: Informatics Tools and Databases | RC625 | E352 | Andrey Fedorov | Quantitative Image Analysis Tools: Communicating Quantitative Image Analysis Results |
| 8:30-10:00 AM | Tumor Imaging Metrics: Is it time to invest in a Service? | RC618 | S404AB | Gordon Harris | Should Every Radiology Department Invest in a Quantitative Imaging Lab? |
| 10:30-12:00 PM | Informatics (Education, Analytics, Quantitative) | SSQ11 | N229 | Jayashree Kalpathy-Cramer | How Not to Do Radiomics-Observations from a Double Baseline Study in Glioblastoma |
| 12:15-12:45 PM | Artificial Intelligence Thursday Poster Discussions | AIS-THA | Learning Center | Daniel Rubin | ePAD-AI: A Platform for Standards-Based Collaborative AI Application Development in Medical Imaging |
Publish Date: Monday, November 18, 2019