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Journal of Nuclear Medicine

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deep learning

  • Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
    You have access
    Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
    Robert J.H. Miller, Konrad Pieszko, Aakash Shanbhag, Attila Feher, Mark Lemley, Aditya Killekar, Paul B. Kavanagh, Serge D. Van Kriekinge, Joanna X. Liang, Cathleen Huang, Edward J. Miller, Timothy Bateman, Daniel S. Berman, Damini Dey and Piotr J. Slomka
    Journal of Nuclear Medicine April 1, 2023, 64 (4) 652-658; DOI: https://doi.org/10.2967/jnumed.122.264423
  • Fast and Accurate Amyloid Brain PET Quantification Without MRI Using Deep Neural Networks
    Open Access
    Fast and Accurate Amyloid Brain PET Quantification Without MRI Using Deep Neural Networks
    Seung Kwan Kang, Daewoon Kim, Seong A Shin, Yu Kyeong Kim, Hongyoon Choi and Jae Sung Lee
    Journal of Nuclear Medicine April 1, 2023, 64 (4) 659-666; DOI: https://doi.org/10.2967/jnumed.122.264414
  • Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
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    Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
    Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey and Piotr J. Slomka
    Journal of Nuclear Medicine March 1, 2023, 64 (3) 472-478; DOI: https://doi.org/10.2967/jnumed.122.264429
  • Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices
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    Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices
    Ping Wu, Yu Zhao, Jianjun Wu, Matthias Brendel, Jiaying Lu, Jingjie Ge, Alexander Bernhardt, Ling Li, Ian Alberts, Sabrina Katzdobler, Igor Yakushev, Jimin Hong, Qian Xu, Yimin Sun, Fengtao Liu, Johannes Levin, Günter U. Höglinger, Claudio Bassetti, Yihui Guan, Wolfgang H. Oertel, Wolfgang Weber, Axel Rominger, Jian Wang, Chuantao Zuo and Kuangyu Shi
    Journal of Nuclear Medicine November 1, 2022, 63 (11) 1741-1747; DOI: https://doi.org/10.2967/jnumed.121.263029
  • Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging
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    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging
    Robert J.H. Miller, Keiichiro Kuronuma, Ananya Singh, Yuka Otaki, Sean Hayes, Panithaya Chareonthaitawee, Paul Kavanagh, Tejas Parekh, Balaji K. Tamarappoo, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Sebastien Cadet, Joanna X. Liang, Damini Dey, Daniel S. Berman and Piotr J. Slomka
    Journal of Nuclear Medicine November 1, 2022, 63 (11) 1768-1774; DOI: https://doi.org/10.2967/jnumed.121.263686
  • Evaluation of Deep Learning–Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images
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    Evaluation of Deep Learning–Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images
    Hasan Sari, Ja Reaungamornrat, Onofrio A. Catalano, Javier Vera-Olmos, David Izquierdo-Garcia, Manuel A. Morales, Angel Torrado-Carvajal, Thomas S.C. Ng, Norberto Malpica, Ali Kamen and Ciprian Catana
    Journal of Nuclear Medicine March 1, 2022, 63 (3) 468-475; DOI: https://doi.org/10.2967/jnumed.120.261032
  • Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study
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    Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study
    Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg and Youngho Seo
    Journal of Nuclear Medicine November 1, 2021, 62 (11) 1645-1652; DOI: https://doi.org/10.2967/jnumed.120.256396
  • Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic <sup>18</sup>F-FDG PET Brain Studies
    Open Access
    Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic 18F-FDG PET Brain Studies
    Lalith Kumar Shiyam Sundar, David Iommi, Otto Muzik, Zacharias Chalampalakis, Eva-Maria Klebermass, Marius Hienert, Lucas Rischka, Rupert Lanzenberger, Andreas Hahn, Ekaterina Pataraia, Tatjana Traub-Weidinger, Johann Hummel and Thomas Beyer
    Journal of Nuclear Medicine June 1, 2021, 62 (6) 871-879; DOI: https://doi.org/10.2967/jnumed.120.248856
  • Deep-Learning <sup>18</sup>F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma
    Open Access
    Deep-Learning 18F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma
    Nicolò Capobianco, Michel Meignan, Anne-Ségolène Cottereau, Laetitia Vercellino, Ludovic Sibille, Bruce Spottiswoode, Sven Zuehlsdorff, Olivier Casasnovas, Catherine Thieblemont and Irène Buvat
    Journal of Nuclear Medicine January 1, 2021, 62 (1) 30-36; DOI: https://doi.org/10.2967/jnumed.120.242412
  • You have access
    Projection Space Implementation of Deep Learning–Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space
    Amirhossein Sanaat, Hossein Arabi, Ismini Mainta, Valentina Garibotto and Habib Zaidi
    Journal of Nuclear Medicine September 1, 2020, 61 (9) 1388-1396; DOI: https://doi.org/10.2967/jnumed.119.239327

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