Correction to: Journal of Digital Imaging von Filice, Ross W., Kahn, Charles E.

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Evolution of the Journal of Digital Imaging into the Journal of Imaging Informatics in Medicine von Krupinski, Elizabeth A., Barnosky, Victoria

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Erratum to: Quantitative Imaging Biomarker Ontology (QIBO) for Knowledge Representation of Biomedical Imaging Biomarkers von Buckler, Andrew J., Liu, Tiffany Ting, Savig, Erica, Suzek, Baris E., Rubin, Daniel L., Paik, David

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Erratum to: An Online Evidence-Based Decision Support System for Distinguishing Benign from Malignant Vertebral Compression Fractures by Magnetic Resonance Imaging Feature Analysis von Wang, Kenneth C., Jeanmenne, Anthony, Weber, Griffin M., Thawait, Shrey K., Carrino, John A.

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Innovation paper in the June 2012 edition of the Journal of Digital Imaging (JDI) von Levin, Brad

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Journal of Digital Imaging: the first 12 years and beyond von Bauman, R A

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Editorial:Journal of Digital Imaging: The First 12 Years and Beyond von Bauman, Roger A.

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Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review von Moassefi, Mana, Rouzrokh, Pouria, Conte, Gian Marco, Vahdati, Sanaz, Fu, Tianyuan, Tahmasebi, Aylin, Younis, Mira, Farahani, Keyvan, Gentili, Amilcare, Kline, Timothy, Kitamura, Felipe C., Huo, Yuankai, Kuanar, Shiba, Younis, Khaled, Erickson, Bradley J., Faghani, Shahriar

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Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration von Makeeva, Valeria, Vey, B, Cook, TS, Nagy, P, Filice, RW, Wang, KC, Balthazar, P, Harri, P, Safdar, NM

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Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges von Hesamian, Mohammad Hesam, Jia, Wenjing, He, Xiangjian, Kennedy, Paul

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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions von Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.

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Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network von Alom, Md Zahangir, Yakopcic, Chris, Nasrin, Mst. Shamima, Taha, Tarek M., Asari, Vijayan K.

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SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research von Yaniv, Ziv, Lowekamp, Bradley C., Johnson, Hans J., Beare, Richard

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Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification von Mzoughi, Hiba, Njeh, Ines, Wali, Ali, Slima, Mohamed Ben, BenHamida, Ahmed, Mhiri, Chokri, Mahfoudhe, Kharedine Ben

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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository von Clark, Kenneth, Vendt, Bruce, Smith, Kirk, Freymann, John, Kirby, Justin, Koppel, Paul, Moore, Stephen, Phillips, Stanley, Maffitt, David, Pringle, Michael, Tarbox, Lawrence, Prior, Fred

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Fully Automated Deep Learning System for Bone Age Assessment von Lee, Hyunkwang, Tajmir, Shahein, Lee, Jenny, Zissen, Maurice, Yeshiwas, Bethel Ayele, Alkasab, Tarik K., Choy, Garry, Do, Synho

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Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network von Yi, Xin, Babyn, Paul

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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network von Chi, Jianning, Walia, Ekta, Babyn, Paul, Wang, Jimmy, Groot, Gary, Eramian, Mark

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Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet von Hosny, Khalid M., Kassem, Mohamed A., Fouad, Mohamed M.

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Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight von Sharma, Shallu, Mehra, Rajesh

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