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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)An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review., , , , , and . Comput. Biol. Medicine, (2022)Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT., , , , , and . ISBI, page 330-333. IEEE, (2009)Multi-task learning for mortality prediction in LDCT images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Use of Radcube for Extraction of Finding Trends in a Large Radiology Practice., , , , , , and . J. Digital Imaging, 22 (6): 629-640 (2009)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)Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome., , , , , , , , , and 5 other author(s). J. Digit. Imaging, 34 (2): 320-329 (2021)Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images., , , , and . CoRR, (2018)Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans., , , , and . IEEE Access, (2017)