Search Results - "Radiographics"

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  1. 1

    Deep Learning: A Primer for Radiologists by Chartrand, Gabriel, Cheng, Phillip M, Vorontsov, Eugene, Drozdzal, Michal, Turcotte, Simon, Pal, Christopher J, Kadoury, Samuel, Tang, An

    Published in Radiographics (01-11-2017)
    “…Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech…”
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    Journal Article
  2. 2

    Chest CT in COVID-19: What the Radiologist Needs to Know by Kwee, Thomas C, Kwee, Robert M

    Published in Radiographics (01-11-2020)
    “…Chest CT has a potential role in the diagnosis, detection of complications, and prognostication of coronavirus disease 2019 (COVID-19). Implementation of…”
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    Journal Article
  3. 3

    Machine Learning for Medical Imaging by Erickson, Bradley J, Korfiatis, Panagiotis, Akkus, Zeynettin, Kline, Timothy L

    Published in Radiographics (01-03-2017)
    “…Machine learning is a technique for recognizing patterns that can be applied to medical images. Although it is a powerful tool that can help in rendering…”
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  4. 4

    Radiographic and CT Features of Viral Pneumonia by Koo, Hyun Jung, Lim, Soyeoun, Choe, Jooae, Choi, Sang-Ho, Sung, Heungsup, Do, Kyung-Hyun

    Published in Radiographics (01-05-2018)
    “…Viruses are the most common causes of respiratory infection. The imaging findings of viral pneumonia are diverse and overlap with those of other nonviral…”
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  5. 5

    CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges by Lubner, Meghan G, Smith, Andrew D, Sandrasegaran, Kumar, Sahani, Dushyant V, Pickhardt, Perry J

    Published in Radiographics (01-09-2017)
    “…This review discusses potential oncologic and nononcologic applications of CT texture analysis ( CTTA CT texture analysis ), an emerging area of "radiomics"…”
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    Journal Article
  6. 6

    Radiomics in Oncology: A Practical Guide by Shur, Joshua D., Doran, Simon J., Kumar, Santosh, ap Dafydd, Derfel, Downey, Kate, O’Connor, James P. B., Papanikolaou, Nikolaos, Messiou, Christina, Koh, Dow-Mu, Orton, Matthew R.

    Published in Radiographics (01-10-2021)
    “…Radiomics refers to the extraction of mineable data from medical imaging and has been applied within oncology to improve diagnosis, prognostication, and…”
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  7. 7

    MRI of Rectal Cancer: Tumor Staging, Imaging Techniques, and Management by Horvat, Natally, Carlos Tavares Rocha, Camila, Clemente Oliveira, Brunna, Petkovska, Iva, Gollub, Marc J

    Published in Radiographics (01-03-2019)
    “…Rectal cancer is prone to local recurrence and systemic metastasis. However, owing to improvements in TNM staging and treatment, including a more widespread…”
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  8. 8

    Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology by Leng, Shuai, Bruesewitz, Michael, Tao, Shengzhen, Rajendran, Kishore, Halaweish, Ahmed F, Campeau, Norbert G, Fletcher, Joel G, McCollough, Cynthia H

    Published in Radiographics (01-05-2019)
    “…Photon-counting detector (PCD) CT is an emerging technology that has shown tremendous progress in the last decade. Various types of PCD CT systems have been…”
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    Journal Article
  9. 9

    Shear-Wave Elastography: Basic Physics and Musculoskeletal Applications by Taljanovic, Mihra S, Gimber, Lana H, Becker, Giles W, Latt, L Daniel, Klauser, Andrea S, Melville, David M, Gao, Liang, Witte, Russell S

    Published in Radiographics (01-05-2017)
    “…In the past 2 decades, sonoelastography has been progressively used as a tool to help evaluate soft-tissue elasticity and add to information obtained with…”
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  10. 10

    Prostate-specific Membrane Antigen PET: Clinical Utility in Prostate Cancer, Normal Patterns, Pearls, and Pitfalls by Hofman, Michael S, Hicks, Rodney J, Maurer, Tobias, Eiber, Matthias

    Published in Radiographics (01-01-2018)
    “…Prostate-specific membrane antigen (PSMA) is a transmembrane glycoprotein that is overexpressed in prostate cancer. Radiolabeled small molecules that bind with…”
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  11. 11

    Medical 3D Printing for the Radiologist by Mitsouras, Dimitris, Liacouras, Peter, Imanzadeh, Amir, Giannopoulos, Andreas A, Cai, Tianrun, Kumamaru, Kanako K, George, Elizabeth, Wake, Nicole, Caterson, Edward J, Pomahac, Bohdan, Ho, Vincent B, Grant, Gerald T, Rybicki, Frank J

    Published in Radiographics (01-11-2015)
    “…While use of advanced visualization in radiology is instrumental in diagnosis and communication with referring clinicians, there is an unmet need to render…”
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    Journal Article
  12. 12

    Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction by Bruno, Michael A, Walker, Eric A, Abujudeh, Hani H

    Published in Radiographics (01-10-2015)
    “…Arriving at a medical diagnosis is a highly complex process that is extremely error prone. Missed or delayed diagnoses often lead to patient harm and missed…”
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  13. 13

    Adult Acquired Flatfoot Deformity: Anatomy, Biomechanics, Staging, and Imaging Findings by Flores, Dyan V, Mejía Gómez, Catalina, Fernández Hernando, Moisés, Davis, Michael A, Pathria, Mini N

    Published in Radiographics (01-09-2019)
    “…Adult acquired flatfoot deformity (AAFD) is a common disorder that typically affects middle-aged and elderly women, resulting in foot pain, malalignment, and…”
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    Journal Article
  14. 14

    2017 Version of LI-RADS for CT and MR Imaging: An Update by Elsayes, Khaled M, Hooker, Jonathan C, Agrons, Michelle M, Kielar, Ania Z, Tang, An, Fowler, Kathryn J, Chernyak, Victoria, Bashir, Mustafa R, Kono, Yuko, Do, Richard K, Mitchell, Donald G, Kamaya, Aya, Hecht, Elizabeth M, Sirlin, Claude B

    Published in Radiographics (01-11-2017)
    “…The Liver Imaging Reporting and Data System (LI-RADS) is a reporting system created for the standardized interpretation of liver imaging findings in patients…”
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  15. 15

    Extrapulmonary Tuberculosis: Pathophysiology and Imaging Findings by Rodriguez-Takeuchi, Sara Yukie, Renjifo, Martin Eduardo, Medina, Francisco José

    Published in Radiographics (01-11-2019)
    “…Extrapulmonary tuberculosis (TB) represents approximately 15% of all TB infections. It is difficult to diagnose on the basis of imaging characteristics and…”
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  16. 16

    Pulmonary Tuberculosis: Role of Radiology in Diagnosis and Management by Nachiappan, Arun C, Rahbar, Kasra, Shi, Xiao, Guy, Elizabeth S, Mortani Barbosa, Jr, Eduardo J, Shroff, Girish S, Ocazionez, Daniel, Schlesinger, Alan E, Katz, Sharyn I, Hammer, Mark M

    Published in Radiographics (01-01-2017)
    “…Tuberculosis is a public health problem worldwide, including in the United States-particularly among immunocompromised patients and other high-risk groups…”
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  17. 17

    Measuring and Establishing the Accuracy and Reproducibility of 3D Printed Medical Models by George, Elizabeth, Liacouras, Peter, Rybicki, Frank J, Mitsouras, Dimitrios

    Published in Radiographics (01-09-2017)
    “…Despite the rapid growth of three-dimensional (3D) printing applications in medicine, the accuracy and reproducibility of 3D printed medical models have not…”
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    Journal Article
  18. 18

    Congenital Variants and Anomalies of the Aortic Arch by Hanneman, Kate, Newman, Beverley, Chan, Frandics

    Published in Radiographics (01-01-2017)
    “…Congenital variants and anomalies of the aortic arch are important to recognize as they may be associated with vascular rings, congenital heart disease, and…”
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  19. 19

    Gadolinium Deposition and Nephrogenic Systemic Fibrosis: A Radiologist's Primer by Mathur, Mahan, Jones, Jason R, Weinreb, Jeffrey C

    Published in Radiographics (01-01-2020)
    “…Gadolinium-based contrast agents (GBCAs) have an excellent safety profile. However, over the last 2 decades, two specific concerns have surfaced. GBCAs are…”
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  20. 20

    Updates in Diagnosis, Management, and Treatment of Neuroblastoma by Swift, Caroline C, Eklund, Meryle J, Kraveka, Jacqueline M, Alazraki, Adina L

    Published in Radiographics (01-03-2018)
    “…Neuroblastoma is an embryonic tumor of the peripheral sympathetic nervous system. It is the most common extracranial solid tumor of childhood and accounts for…”
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