Radiology Noise2Recon: Enabling SNR-robust MRI reconstruction with semi-supervised and self-supervised learning. July 10, 2023
Computer Vision | Medical Imaging | Radiology Self-supervised learning for medical image classification: a systematic review and implementation guidelines. April 26, 2023
Radiology Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning. February 25, 2023
Orthopedics | Radiology The KNee OsteoArthritis Prediction (KNOAP2020) Challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images. October 15, 2022
Orthopedics | Radiology Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry. July 19, 2022
Orthopedics | Radiology Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network. October 7, 2021
Oncology | Radiology Low-count whole-body PET with deep learning in a multicenter and externally validated study. August 24, 2021
Orthopedics | Radiology A Deep Learning Automated Segmentation Algorithm Accurately Detects Differences in Longitudinal Cartilage Thickness Loss – Data from the FNIH Biomarkers Study of the Osteoarthritis Initiative. December 18, 2020
Neurology | Radiology Improving in vivo human cerebral cortical surface reconstruction using data-driven super-resolution. September 5, 2020
Radiology Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices. August 24, 2020
Orthopedics | Radiology Diagnostic Accuracy of Quantitative Multi-Contrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement. August 6, 2020