Skip to main content

Main menu

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

radiomics

  • RadShap: An Explanation Tool for Highlighting the Contributions of Multiple Regions of Interest to the Prediction of Radiomic Models
    Open Access
    RadShap: An Explanation Tool for Highlighting the Contributions of Multiple Regions of Interest to the Prediction of Radiomic Models
    Nicolas Captier, Fanny Orlhac, Narinée Hovhannisyan-Baghdasarian, Marie Luporsi, Nicolas Girard and Irène Buvat
    Journal of Nuclear Medicine August 1, 2024, 65 (8) 1307-1312; DOI: https://doi.org/10.2967/jnumed.124.267434
  • Is PET Radiomics Useful to Predict Pathologic Tumor Response and Prognosis in Locally Advanced Cervical Cancer?
    You have access
    Is PET Radiomics Useful to Predict Pathologic Tumor Response and Prognosis in Locally Advanced Cervical Cancer?
    Angela Collarino, Vanessa Feudo, Tina Pasciuto, Anita Florit, Elisabeth Pfaehler, Marco de Summa, Nicolò Bizzarri, Salvatore Annunziata, Gian Franco Zannoni, Lioe-Fee de Geus-Oei, Gabriella Ferrandina, Maria Antonietta Gambacorta, Giovanni Scambia, Ronald Boellaard, Evis Sala, Vittoria Rufini and Floris HP van Velden
    Journal of Nuclear Medicine June 1, 2024, 65 (6) 962-970; DOI: https://doi.org/10.2967/jnumed.123.267044
  • Impact of <sup>18</sup>F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers
    You have access
    Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers
    Stefan P. Haider, Tal Zeevi, Kariem Sharaf, Moritz Gross, Amit Mahajan, Benjamin H. Kann, Benjamin L. Judson, Manju L. Prasad, Barbara Burtness, Mariam Aboian, Martin Canis, Christoph A. Reichel, Philipp Baumeister and Seyedmehdi Payabvash
    Journal of Nuclear Medicine May 1, 2024, 65 (5) 803-809; DOI: https://doi.org/10.2967/jnumed.123.266637
  • PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non–Small Cell Lung Cancer Treated with Curative Radiotherapy
    You have access
    PET/CT-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non–Small Cell Lung Cancer Treated with Curative Radiotherapy
    Vincent Bourbonne, Moncef Morjani, Olivier Pradier, Mathieu Hatt, Vincent Jaouen, Solène Querellou, Dimitris Visvikis, François Lucia and Ulrike Schick
    Journal of Nuclear Medicine April 1, 2024, 65 (4) 630-634; DOI: https://doi.org/10.2967/jnumed.123.266749
  • Promising Candidate Prognostic Biomarkers in [<sup>18</sup>F]FDG PET Images: Evaluation in Independent Cohorts of Non–Small Cell Lung Cancer Patients
    Open Access
    Promising Candidate Prognostic Biomarkers in [18F]FDG PET Images: Evaluation in Independent Cohorts of Non–Small Cell Lung Cancer Patients
    Narinée Hovhannisyan-Baghdasarian, Marie Luporsi, Nicolas Captier, Christophe Nioche, Vesna Cuplov, Erwin Woff, Nadia Hegarat, Alain Livartowski, Nicolas Girard, Irène Buvat and Fanny Orlhac
    Journal of Nuclear Medicine April 1, 2024, 65 (4) 635-642; DOI: https://doi.org/10.2967/jnumed.123.266331
  • Prognostic Value of <sup>18</sup>F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study
    You have access
    Prognostic Value of 18F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study
    Thomas Carlier, Gauthier Frécon, Diana Mateus, Mira Rizkallah, Françoise Kraeber-Bodéré, Salim Kanoun, Paul Blanc-Durand, Emmanuel Itti, Steven Le Gouill, René-Olivier Casasnovas, Caroline Bodet-Milin and Clément Bailly
    Journal of Nuclear Medicine January 1, 2024, 65 (1) 156-162; DOI: https://doi.org/10.2967/jnumed.123.265872
  • Stacking Ensemble Learning–Based [<sup>18</sup>F]FDG PET Radiomics for Outcome Prediction in Diffuse Large B-Cell Lymphoma
    You have access
    Stacking Ensemble Learning–Based [18F]FDG PET Radiomics for Outcome Prediction in Diffuse Large B-Cell Lymphoma
    Shuilin Zhao, Jing Wang, Chentao Jin, Xiang Zhang, Chenxi Xue, Rui Zhou, Yan Zhong, Yuwei Liu, Xuexin He, Youyou Zhou, Caiyun Xu, Lixia Zhang, Wenbin Qian, Hong Zhang, Xiaohui Zhang and Mei Tian
    Journal of Nuclear Medicine October 1, 2023, 64 (10) 1603-1609; DOI: https://doi.org/10.2967/jnumed.122.265244
  • Open Access
    New Developments in Myeloma Treatment and Response Assessment
    Françoise Kraeber-Bodéré, Bastien Jamet, Davide Bezzi, Elena Zamagni, Philippe Moreau and Cristina Nanni
    Journal of Nuclear Medicine September 1, 2023, 64 (9) 1331-1343; DOI: https://doi.org/10.2967/jnumed.122.264972
  • Distinction of Lymphoma from Sarcoidosis on <sup>18</sup>F-FDG PET/CT: Evaluation of Radiomics-Feature–Guided Machine Learning Versus Human Reader Performance
    You have access
    Distinction of Lymphoma from Sarcoidosis on 18F-FDG PET/CT: Evaluation of Radiomics-Feature–Guided Machine Learning Versus Human Reader Performance
    Pierre Lovinfosse, Marta Ferreira, Nadia Withofs, Alexandre Jadoul, Céline Derwael, Anne-Noelle Frix, Julien Guiot, Claire Bernard, Anh Nguyet Diep, Anne-Françoise Donneau, Marie Lejeune, Christophe Bonnet, Wim Vos, Patrick E. Meyer and Roland Hustinx
    Journal of Nuclear Medicine December 1, 2022, 63 (12) 1933-1940; DOI: https://doi.org/10.2967/jnumed.121.263598
  • Impact of ComBat Harmonization on PET Radiomics-Based Tissue Classification: A Dual-Center PET/MRI and PET/CT Study
    You have access
    Impact of ComBat Harmonization on PET Radiomics-Based Tissue Classification: A Dual-Center PET/MRI and PET/CT Study
    Doris Leithner, Heiko Schöder, Alexander Haug, H. Alberto Vargas, Peter Gibbs, Ida Häggström, Ivo Rausch, Michael Weber, Anton S. Becker, Jazmin Schwartz and Marius E. Mayerhoefer
    Journal of Nuclear Medicine October 1, 2022, 63 (10) 1611-1616; DOI: https://doi.org/10.2967/jnumed.121.263102

Pages

  • Next
  • 1
  • 2
  • 3
  • 4
SNMMI

© 2025 SNMMI

Powered by HighWire