publication venue for
- Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review. 2024
- Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. 2024
- AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans.. 5. 2023
- 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
- Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions.. 1. 2019