Now showing items 1-3 of 3

    • Clinical Applications of Artificial Intelligence in positron emission tomography of Lung Cancer 

      Zukotynski, Katherine; Gaudet, Vincent C.; Uribe, Carlos F.; Chiam, Katarina; Benard, Francois; Gerbaudo, Victor (Elsevier, 2022-01)
      The ability of a computer to perform tasks normally requiring human intelligence or artificial intelligence (AI) is not new. However, until recently, practical applications in medical imaging were limited, especially in ...
    • Machine Learning in the Nuclear Medicine: Part 2-Neural Networks and Clinical Aspects 

      Zukotynski, Katherine; Gaudet, Vincent C.; Uribe, Carlos F.; Mathotaarachchi, Sulantha; Smith, Kenneth C.; Rosa-Neto, Pedro; Benard, Francois; Black, Sandra E. (Society of Nuclear Medicine and Molecular Imaging, 2021-01)
      This article is the second part in our machine learning series. Part 1 provided a general overview of machine learning in nuclear medicine. Part 2 focuses on neural networks. We start with an example illustrating how neural ...
    • Role of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapies 

      Brosch-Lenz, Julia; Yousefirizi, Fereshteh; Zukotynski, Katherine; Beauregard, Jean-Mathieu; Gaudet, Vincent C.; Saboury, Babak; Rahmim, Arman; Uribe, Carlos F. (Elsevier, 2021-10)
      KEY POINTS AI has shown promising applications in quantitative imaging required for dosimetry. Segmentation of organs and tumors, the most time consuming task in the dosimetry workflow, can be automated using AI. ...


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