RSNA Labs

Practice your skills during RSNA 2023 and register for our supplemental, RSNA Hands-On Labs and RSNA Deep Learning Labs. Review the schedule below and select your labs as add-ons when you register for RSNA 2023. All RSNA Labs are priced at $100 each.

RSNA Hands-On Labs

Nov. 26

RSNA Hands-On Lab: Pediatric Musculoskeletal Ultrasound
10–11:30 a.m.

RSNA Hands-On Lab: Liver Elastography
2–3:30 p.m.

Nov. 27

RSNA Hands-On Lab: Musculoskeletal Ultrasound: Approach to Ultrasound Assessment of the Shoulder with Dynamic Maneuvers
2–3:30 p.m.

RSNA Hands-On Lab: Ultrasound Doppler Hands-On Course of the Carotid System and Abdominal Vasculature
9–10:30 a.m.

Nov. 28

RSNA Hands-On Lab: Breast US Biopsy
9–10:30 a.m.

Nov. 29

RSNA Hands-On Lab: Contrast Reaction Management
9–10:30 a.m.

RSNA Deep Learning Labs

All RSNA Deep Learning Labs will take place in the Lakeside Learning Center at McCormick Place.

Nov. 26

RSNA Deep Learning Lab: Basics of NLP in Radiology
10–11 a.m.

RSNA Deep Learning Lab: CT Body Part Classification
11:30 a.m. – 12:30 p.m.

RSNA Deep Learning Lab: Data Processing & Curation for Deep Learning
1-2 p.m.

Nov. 27

RSNA Deep Learning Lab: DICOM Data Wrangling with Python
9–10 a.m.

RSNA Deep Learning Lab: NCI Imaging Data Commons – Curated Data and Reproducible AI Workflows
10:30–11:30 a.m.

RSNA Deep Learning Lab: ChatCTP – DICOM De-Identification Using ChatGPT
12–1 p.m.

RSNA Deep Learning Lab: NLP – Text Classification with RNNs & Transformers
1:30–2:30 p.m.

RSNA Deep Learning Lab: Accessing Freely Available Public Datasets from The Cancer Imaging Archive (TCIA)
3–4 p.m.

Nov. 28

RSNA Deep Learning Lab: Zero-Code Implementation of Federated Learning for Radiology Tasks
9–10 a.m.

RSNA Deep Learning Lab: MIDRC – Building and Using AI-Ready Datasets from a Massive Open Data Commons
10:30–11:30 a.m.

RSNA Deep Learning Lab: MedNIST Exam Classification with MONAI
12–1 p.m.

RSNA Deep Learning Lab: Evaluating for Fairness of AI Models in Radiology
1:30–2:30 p.m.

RSNA Deep Learning Lab: Best Practices for Model Training: Architectures, Hyperparameters & Optimization
3–4 p.m.

Nov. 29

RSNA Deep Learning Lab: YOLO – Bounding Box Segmentation & Classification – Part 1
10–11 a.m.

RSNA Deep Learning Lab: Generative Adversarial Networks
11:30 a.m. – 12:30 p.m.

RSNA Deep Learning Lab: Accelerate your AI-Based Medical Imaging Research with MONAI Core on SageMaker
1–2 p.m.

RSNA Deep Learning Lab: Developing and Implementing a 3D Segmentation Model: From DICOM to Deployment
2:30–3:30 p.m.

Nov. 30

RSNA Deep Learning Lab: DICOM In, DICOM Out for Segmentation
9–10 a.m.

RSNA Deep Learning Lab: Building Custom Deep Learning Models with PyTorch
10:30 –11:30 a.m.