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The science and art of medicine today
The science and art of medicine today
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The science and art of medicine today

Iskandrian, Ami E. ; Buckingham, Susan

Journal of nuclear cardiology, 2022-12, Vol.29 (6), p.2812-2812 [Periódico revisado por pares]

Cham: Elsevier Inc

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2
The importance of standards in medicine
The importance of standards in medicine
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The importance of standards in medicine

Raggi, Paolo

Journal of nuclear cardiology, 2022-02, Vol.29 (1), p.136-137 [Periódico revisado por pares]

Cham: Elsevier Inc

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3
A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology
A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology
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A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology

Slart, Riemer H.J.A. ; Glaudemans, Andor W.J.M. ; Lancellotti, Patrizio ; Hyafil, Fabien ; Blankstein, Ron ; Schwartz, Ronald G. ; Jaber, Wael A. ; Russell, Raymond ; Gimelli, Alessia ; Rouzet, François ; Hacker, Marcus ; Gheysens, Olivier ; Plein, Sven ; Miller, Edward J. ; Dorbala, Sharmila ; Donal, Erwan

Journal of nuclear cardiology, 2018-02, Vol.25 (1), p.298-319 [Periódico revisado por pares]

New York: Elsevier Inc

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4
Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC
Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC
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Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC

Murthy, Venkatesh L. ; Bateman, Timothy M. ; Beanlands, Rob S. ; Berman, Daniel S. ; Borges-Neto, Salvador ; Chareonthaitawee, Panithaya ; Cerqueira, Manuel D. ; deKemp, Robert A. ; DePuey, E. Gordon ; Dilsizian, Vasken ; Dorbala, Sharmila ; Ficaro, Edward P. ; Garcia, Ernest V. ; Gewirtz, Henry ; Heller, Gary V. ; Lewin, Howard C. ; Malhotra, Saurabh ; Mann, April ; Ruddy, Terrence D. ; Schindler, Thomas H. ; Schwartz, Ronald G. ; Slomka, Piotr J. ; Soman, Prem ; Di Carli, Marcelo F. ; Einstein, Andrew ; Russell, Raymond ; Corbett, James R.

Journal of nuclear cardiology, 2018-02, Vol.25 (1), p.269-297 [Periódico revisado por pares]

New York: Elsevier Inc

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5
Molecular imaging in nuclear cardiology: Pathways to individual precision medicine
Molecular imaging in nuclear cardiology: Pathways to individual precision medicine
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Molecular imaging in nuclear cardiology: Pathways to individual precision medicine

Glasenapp, A. ; Hess, A. ; Thackeray, J.T.

Journal of nuclear cardiology, 2020-12, Vol.27 (6), p.2195-2201 [Periódico revisado por pares]

Cham: Elsevier Inc

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6
Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio
Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio
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Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio

Okuda, Koichi ; Nakajima, Kenichi ; Kitamura, Chiemi ; Ljungberg, Michael ; Hosoya, Tetsuo ; Kirihara, Yumiko ; Hashimoto, Mitsumasa

Journal of nuclear cardiology, 2023-08, Vol.30 (4), p.1630-1641 [Periódico revisado por pares]

Cham: Elsevier Inc

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7
Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks
Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks
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Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks

Shiri, Isaac ; AmirMozafari Sabet, Kiarash ; Arabi, Hossein ; Pourkeshavarz, Mozhgan ; Teimourian, Behnoosh ; Ay, Mohammad Reza ; Zaidi, Habib

Journal of nuclear cardiology, 2021-12, Vol.28 (6), p.2761-2779 [Periódico revisado por pares]

Cham: Elsevier Inc

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8
Meta-analysis of 18F-FDG PET/CT in the diagnosis of infective endocarditis
Meta-analysis of 18F-FDG PET/CT in the diagnosis of infective endocarditis
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Meta-analysis of 18F-FDG PET/CT in the diagnosis of infective endocarditis

Mahmood, Maryam ; Kendi, Ayse Tuba ; Ajmal, Saira ; Farid, Saira ; O’Horo, John C. ; Chareonthaitawee, Panithaya ; Baddour, Larry M. ; Sohail, M. Rizwan

Journal of nuclear cardiology, 2019-06, Vol.26 (3), p.922-935 [Periódico revisado por pares]

Cham: Elsevier Inc

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9
Complications of Microwave Ablation for Liver Tumors: Results of a Multicenter Study
Complications of Microwave Ablation for Liver Tumors: Results of a Multicenter Study
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Complications of Microwave Ablation for Liver Tumors: Results of a Multicenter Study

Livraghi, Tito ; Meloni, Franca ; Solbiati, Luigi ; Zanus, Giorgio

Cardiovascular and interventional radiology, 2012-08, Vol.35 (4), p.868-874 [Periódico revisado por pares]

New York: Springer-Verlag

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10
Fusion Imaging and Virtual Navigation to Guide Percutaneous Thermal Ablation of Hepatocellular Carcinoma: A Review of the Literature
Fusion Imaging and Virtual Navigation to Guide Percutaneous Thermal Ablation of Hepatocellular Carcinoma: A Review of the Literature
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Fusion Imaging and Virtual Navigation to Guide Percutaneous Thermal Ablation of Hepatocellular Carcinoma: A Review of the Literature

Calandri, Marco ; Mauri, Giovanni ; Yevich, Steven ; Gazzera, Carlo ; Basile, Domenico ; Gatti, Marco ; Veltri, Andrea ; Fonio, Paolo

Cardiovascular and interventional radiology, 2019-05, Vol.42 (5), p.639-647 [Periódico revisado por pares]

New York: Springer US

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