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Toolkits and Libraries for Deep Learning., , , , and . J. Digital Imaging, 30 (4): 400-405 (2017)Interactive segmentation of medical images through fully convolutional neural networks., , , , , , , , , and . CoRR, (2019)SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks., , , , , , and . CoRR, (2021)Reduction of unnecessary thyroid biopsies using deep learning., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490W. SPIE, (2019)Extraction of brain tissue from CT head images using fully convolutional neural networks., , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057420. SPIE, (2018)Robust brain extraction tool for CT head images., , , and . Neurocomputing, (2020)RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning., , , , , , , , , and 1 other author(s). J. Digit. Imaging, 32 (4): 571-581 (2019)Deep Learning Improves the Temporal Reproducibility of Aortic Measurement., , , , , , , , , and 3 other author(s). J. Digit. Imaging, 34 (5): 1183-1189 (2021)