PET and SPECT Specialty Grand Challenge. When Knowledge Travels at the Speed of Light, Photons Take to the Field
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[1] A. Cuocolo,et al. The machine learning approach: Artificial intelligence is coming to support critical clinical thinking , 2018, Journal of Nuclear Cardiology.
[2] J. Buscombe,et al. Why should we be concerned about a “g”? , 2018, European Journal of Nuclear Medicine and Molecular Imaging.
[3] R. Cuocolo,et al. Diagnostic performance of myocardial perfusion imaging with conventional and CZT single-photon emission computed tomography in detecting coronary artery disease: A meta-analysis , 2019, Journal of Nuclear Cardiology.
[4] H. Strauss,et al. Musings on PET and SPECT. , 1986, Circulation.
[5] Lorenzo Ugga,et al. Machine Learning in Oncology: A Clinical Appraisal. , 2020, Cancer letters.
[6] Elena Salvatore,et al. In Vivo Imaging of Neurotransmission and Brain Receptors in Dementia , 2008, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[7] F. Schmidt. Meta-Analysis , 2008 .
[8] D. Berman,et al. CZT camera systems may provide better risk stratification for low-risk patients , 2020, Journal of Nuclear Cardiology.
[9] Wolfgang A Weber,et al. Theranostic Concepts: More Than Just a Fashion Trend—Introduction and Overview , 2017, The Journal of Nuclear Medicine.
[10] M. Onwukwe. A Clinical Appraisal , 2016 .