TCIA-Sponsored
- All Day | ML005 | Machine Learning Community, Learning Center
- Crowds Cure Cancer: Help Annotate Data from The Cancer Imaging Archive
- Wednesday 8:30-10:00 AM | RCC41 | Room: S501ABC
- Research Opportunities Using the NIH The Cancer Imaging Archive (TCIA) That Links Cancer Imaging to Clinical Data, Genomics, Proteomics, Quantitative Imaging and Deep Learning
- Wednesday 4:30-6:00 PM | RCC45 | Room: S501ABC
- Deep Learning—An Imaging Roadmap
- Thursday 2:30-4:00 PM | RCB54 | Room: S401CD
- Using Publicly Accessible 'Big Data' from the NIH/NCI's Cancer Imaging Archive (TCIA) to Research Quantitative Radiomics, Proteomics, Genetics and Pathology (Hands-on)
Community sessions
Do you have a TCIA-related presentation at RSNA that's not listed below? Contact the helpdesk to request it be added!
- Monday 9:10-9:20 AM | RC205-03 | Room: S406B
- Radiogenomics Analysis in Hemodynamic Abnormality of Patients with Newly Diagnosed Glioblastomas: Combination with TCIA Database
- Monday 3:00-3:10 PM | SSE02-01 | Room: E450A
- Phenotypic Biomarkers of Intra-Tumor Heterogeneity in Breast DCE-MRI Can Augment Tumor Volume Measures in Predicting Survival after Neoadjuvant Chemotherapy for Locally Advanced Breast Cancer: Results from the ACRIN 6657/I-SPY-1 Trial
- Tuesday 8:30-10:00 AM | RC325 | Room: S404AB
- Radiomics Mini-Course: From Image to Omics
- Image Annotation and Semantic Labeling
- Image Feature Computation and Considerations
- Correlating Image Features with Multi-Omics Data
- Radiomics Mini-Course: From Image to Omics
- Tuesday 4:30-6:00 PM | RC425 | Room: S103CD
- Radiomics Mini-Course: Informatics Tools and Databases
- The Role of Challenges and Their Requirements
- Quantitative Image Analysis Tools: Communicating Quantitative Image Analysis Results
- Public Databases for Radiomics Research: Current Status and Future Directions
- Radiomics Mini-Course: Informatics Tools and Databases
- Wednesday 3:10-3:20 PM | SSM12-02 | Room: S404CD
- Personalized Survival Prediction Using Random Forest Survival Model on MR Radiomic Features in Gliomas
- Wednesday 3:40-3:50 PM | SSM12-05 | Room: S404CD
- A Clinically-Actionable Fully Convolutional Network for Brain Tumor Segmentation
- Lakeside Learning Center Exhibits/Posters
- DICOM4QI Demonstration and Connectathon: Structured Communication of Quantitative Image Analysis Results Using the DICOM Standard
- The Quantitative Image Feature Pipeline (QIFP): Automated Radiomic Feature Extraction to Derive Associations with and Prediction of Clinical Variables from Image Features