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Radiology. Artificial Intelligence|October 7, 2022
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer LearningXueyan Mei, Zelong Liu, Philip M Robson, et al.
Radiology. Artificial Intelligence|October 7, 2022
Forging Connections in Latin America to Advance AI in RadiologyFelipe Campos Kitamura, Felipe Barjud Pereira do Nascimento, Guillermo Elizondo-Riojas, et al.
Radiology. Artificial Intelligence|October 7, 2022
Mitigating Bias in Radiology Machine Learning: 1. Data HandlingPouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, et al.
Radiology. Artificial Intelligence|October 7, 2021
Landmark Detection in Cardiac MRI by Using a Convolutional Neural NetworkHui Xue, Jessica Artico, Marianna Fontana, et al.
Radiology. Artificial Intelligence|October 7, 2021
Synthesizing High-b-Value Diffusion-weighted Imaging of the Prostate Using Generative Adversarial NetworksLei Hu, Da-Wei Zhou, Yun-Fei Zha, et al.
Radiology. Artificial Intelligence|October 7, 2021
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image FiltersKonstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, et al.
Radiology. Artificial Intelligence|October 7, 2021
Deep Learning for Pulmonary Embolism Detection: Tackling the RSNA 2020 AI ChallengeIan Pan
Radiology. Artificial Intelligence|October 7, 2021
Erratum: Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CTVeit Sandfort, Ke Yan, Peter M Graffy, et al.
Radiology. Artificial Intelligence|February 11, 2022
Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation AlgorithmAndreas M Rauschecker, Tyler J Gleason, Pierre Nedelec, et al.
Radiology. Artificial Intelligence|February 11, 2022
Vertebral Deformity Measurements at MRI, CT, and Radiography Using Deep LearningAbhinav Suri, Brandon C Jones, Grace Ng, et al.
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