publication venue for
- Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. 2020
- Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.. 7. 2025
- MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI.. 7. 2025
- FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI.. 7. 2025
- RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes.. 7. 2025
- The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.. 6. 2024
- Improving Fairness of Automated Chest Radiograph Diagnosis by Contrastive Learning.. 6. 2024
- Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review.. 6. 2024
- Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.. 6. 2024
- Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans.. 4. 2022
- Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI.. 4. 2022
- The RSNA Pulmonary Embolism CT Dataset.. 3. 2021
- Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle.. 3. 2020
- Accelerating Prostate Diffusion-weighted MRI Using a Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study.. 2. 2020
- Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.. 2. 2020
- Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.. 2. 2020
- Fully Automated Diagnosis of Anterior Cruciate Ligament Tears on Knee MR Images by Using Deep Learning.. 1. 2019
- Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia.. 1. 2019
- Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions.. 1. 2019
- The Evolution of Radiology Image Annotation in the Era of Large Language Models. 2025
- Bayesian Networks in Radiology. 2023