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16 results on '"Kalpathy-Cramer J"'

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1. Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts.

2. Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.

3. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation.

4. Breast Cancer Risk Assessment in the AI Era: The Importance of Model Validation in Ethnically Diverse Cohorts.

5. The RSNA Cervical Spine Fracture CT Dataset.

6. A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

7. Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

8. RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications.

9. The RSNA Pulmonary Embolism CT Dataset.

10. Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma.

11. Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.

12. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks.

13. Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.

14. Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge.

15. Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network.

16. Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions.

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