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Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction., , , , , , , and . Nat. Mach. Intell., 1 (6): 269-276 (2019)Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19., , , , , , , , , and 10 other author(s). CoRR, (2020)Multi-task learning for mortality prediction in LDCT images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT., , , , , and . ISBI, page 330-333. IEEE, (2009)An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review., , , , , and . Comput. Biol. Medicine, (2022)Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network"., , , , , , , and . IEEE Trans. Medical Imaging, 37 (12): 2750 (2018)Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans., , , , and . IEEE Access, (2017)Use of Radcube for Extraction of Finding Trends in a Large Radiology Practice., , , , , , and . J. Digital Imaging, 22 (6): 629-640 (2009)Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1727-1736 (2020)CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images., , , , , , , , , and 12 other author(s). npj Digit. Medicine, (2021)