Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Corporate & Special Sales
    • Journal Claims
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Corporate & Special Sales
    • Journal Claims
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • Follow JNM on Twitter
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Subscribe to our RSS feeds

More articles from Physics, Instrumentation & Data Sciences

  • You have access
    Fully automated deep learning FDG uptake classification enables Total Metabolic Tumor Volume (MTV) estimation in diffuse large B-cell lymphoma with similar predictive value as expert MTV measurements
    Nicolo Capobianco, Michel Meignan, Anne Segolene Cottereau, Laetitia Vercellino, Ludovic Sibille, Bruce Spottiswoode, Sven Zuehlsdorff, Olivier Casasnovas, Catherine Thieblemont and Irene Buvat
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 504;
  • You have access
    A deep learning-based approach for disease detection in the projection space of DAT-SPECT images of patients with Parkinson’s disease
    Kevin Leung, Wenyi Shao, Lilja Solnes, Steven Rowe, Martin Pomper and Yong Du
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 509;
  • You have access
    Radiomics Analysis Based on18F-FDG and18F-FLT PET/CT Images may Facilitate the Differentiation of Benign and Malignant Pulmonary Nodules.
    Jing Ning, Peng Yu, Jingjing Cui, Yan Jia, Panli Zuo, JiaHe Tian and Baixuan Xu
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 273;
  • You have access
    A simplified brain-shaped phantom to evaluate O-15 image quality of digital photon counting PET-CT
    Kenji Hirata, Keiichi Magota, NAOTO NUMATA, Michiaki Endo, Mao Kusuzaki, Daiki Shinyama, Ronee Asad, Kentaro Kobayashi, Tohru Shiga and Kohsuke Kudo
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 329;
  • You have access
    Significance of Rotational Correction on Renal Dynamic Imaging
    Lei Zhang, Zhifang Wu, Jidi Xue, Jiafu Peng, Sijin Li and Hua Wei
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 325;
  • You have access
    Low dose brain PET imaging enabled by marker-based tracking of head motion and list mode reconstruction.
    Samuel Hurley and Alan McMillan
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 370;
  • You have access
    Lesion-Preserving Spatially Adaptive Non-Local Means Post-Filter for Whole-Body PET Imaging
    Wenyuan Qi, Chao Song, Chung Chan, Li Yang and Evren Asma
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 432;
  • You have access
    Voxel-based analysis facilitates the identification of robust machine-learning based models for tumor classification
    Anne-Sophie Dirand, Fanny Orlhac, Christophe Nioche and Irene Buvat
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 271;
  • You have access
    Image texture analysis quantification of concentric ring artifacts in quality assurance scans
    Emilio Mezzenga, Anna Sarnelli, Frank DiFilippo, Christopher Palestro and Kenneth Nichols
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 452;
  • You have access
    Effect of Reconstruction Settings on PET-Derived Dose-Volume-Histograms after SIRT of the Liver
    Marc Roschlein, Theresa Gotz, Christian Schmidkonz, Michael Beck, Torsten Kuwert and Philipp Ritt
    Journal of Nuclear Medicine May 1, 2020, 61 (supplement 1) 448;

Pages

  • Previous
  • Next
  • 1
  • …
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • …
  • 33
SNMMI

© 2023 Journal of Nuclear Medicine

Powered by HighWire