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Radiology. Artificial Intelligence|February 21, 2020
Implementation and Validation of a Three-dimensional Cardiac Motion Estimation NetworkManuel A Morales, David Izquierdo-Garcia, Iman Aganj, et al.
Radiology. Artificial Intelligence|February 21, 2020
Automated Myocardial T2 and Extracellular Volume Quantification in Cardiac MRI Using Transfer Learning-based Myocardium SegmentationYanjie Zhu, Ahmed S Fahmy, Chong Duan, et al.
Radiology. Artificial Intelligence|February 26, 2025
Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular DystrophySven Koehler, Julian Kuhm, Tyler Huffaker, et al.
Radiology. Artificial Intelligence|February 19, 2025
Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT ImagesDaniel C Mann, Michael W Rutherford, Phillip Farmer, et al.
Radiology. Artificial Intelligence|November 6, 2024
Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT AngiographyYi Yang, Zhenyao Chang, Xin Nie, et al.
Radiology. Artificial Intelligence|November 27, 2024
Applying Conformal Prediction to a Deep Learning Model for Intracranial Hemorrhage Detection to Improve TrustworthinessCooper Gamble, Shahriar Faghani, Bradley J Erickson
Radiology. Artificial Intelligence|October 8, 2024
Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report InformationLisong Dai, Jiayu Lei, Fenglong Ma, et al.
Radiology. Artificial Intelligence|August 21, 2024
nnU-Net-based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional StudyRohan Bareja, Marwa Ismail, Douglas Martin, et al.
Radiology. Artificial Intelligence|July 24, 2024
External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest RadiographsJong Hyuk Lee, Dongheon Lee, Michael T Lu, et al.
Radiology. Artificial Intelligence|June 20, 2024
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume QuantificationBenjamin Hou, Sungwon Lee, Jung-Min Lee, et al.
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