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Radiology. Artificial Intelligence|October 15, 2025
Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer RiskEun Young Kim, Eun Kyung Park, Mi-Ri Kwon, et al.
Radiology. Artificial Intelligence|October 9, 2020
Accelerating Prostate Diffusion-weighted MRI Using a Guided Denoising Convolutional Neural Network: Retrospective Feasibility StudyElena A Kaye, Emily A Aherne, Cihan Duzgol, et al.
Radiology. Artificial Intelligence|June 2, 2022
External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic ReviewAlice C Yu, Bahram Mohajer, John Eng
Radiology. Artificial Intelligence|June 2, 2022
Deep Learning-based Detection of Intravenous Contrast Enhancement on CT ScansZezhong Ye, Jack M Qian, Ahmed Hosny, et al.
Radiology. Artificial Intelligence|June 2, 2022
Deep Learning for Radiographic Measurement of Femoral Component Subsidence Following Total Hip ArthroplastyPouria Rouzrokh, Cody C Wyles, Shyam J Kurian, et al.
Radiology. Artificial Intelligence|October 7, 2021
Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CTGerda Bortsova, Daniel Bos, Florian Dubost, et al.
Radiology. Artificial Intelligence|October 7, 2021
MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional AnalysisSatrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, et al.
Radiology. Artificial Intelligence|October 7, 2021
Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young ChildrenYeshe Manuel Kway, Kashthuri Thirumurugan, Mya Thway Tint, et al.
Radiology. Artificial Intelligence|December 11, 2023
Automated MRI Lung Segmentation and 3D Morphologic Features for Quantification of Neonatal Lung DiseaseBenedikt Mairhörmann, Alejandra Castelblanco, Friederike Häfner, et al.
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