Advanced Image Analyses (Radiomics and Artificial Intelligence)

ISSN: 1619-7070 (Print) 1619-7089 (Online)

In this topical collection (132 articles)

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  1. Review Article

    Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives

    Antonia Dimitrakopoulou-Strauss, Leyun Pan… Pages 21-39
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  2. Original Article

    An EANM position paper on the application of artificial intelligence in nuclear medicine

    Roland Hustinx, Jan Pruim, Michael Lassmann… Pages 61-66
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  3. Original Article

    Fully automatic prognostic biomarker extraction from metastatic prostate lesion segmentations in whole-body [68Ga]Ga-PSMA-11 PET/CT images

    Jake Kendrick, Roslyn J. Francis… Pages 67-79
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  4. No Access

    Original Article

    Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach

    Min Wang, Michael Schutte, Timo Grimmer… Pages 80-89

  5. Original Article

    Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer

    Matthijs C. F. Cysouw, Bernard H. E. Jansen… Pages 340-349
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  6. No Access

    Original Article

    Histologic subtype classification of non-small cell lung cancer using PET/CT images

    Yong Han, Yuan Ma, Zhiyuan Wu, Feng Zhang… Pages 350-360

  7. Guidelines

    Joint EANM/SNMMI guideline on radiomics in nuclear medicine

    M. Hatt, A. K. Krizsan, A. Rahmim… Pages 352-375
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  8. No Access

    Original Article

    Polar map-free 3D deep learning algorithm to predict obstructive coronary artery disease with myocardial perfusion CZT-SPECT

    Chi-Lun Ko, Shau-Syuan Lin, Cheng-Wen Huang… Pages 376-386

  9. No Access

    Original Article

    Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images

    Robert J. H. Miller, Ananya Singh… Pages 387-397

  10. No Access

    Original Article

    Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease

    Hongyoon Choi, Yu Kyeong Kim, Eun Jin Yoon… Pages 403-412

  11. Original Article

    Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning

    Nicolò Capobianco, Ludovic Sibille… Pages 517-526
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  12. Original Article

    The added value of PSMA PET/MR radiomics for prostate cancer staging

    Esteban Lucas Solari, Andrei Gafita… Pages 527-538
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  13. Original Article

    Diagnostic performance of FDG-PET/CT of post-transplant lymphoproliferative disorder and factors affecting diagnostic yield

    F. M. Montes de Jesus, T. C. Kwee… Pages 529-536
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  14. Original Article

    Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise

    Abolfazl Mehranian, Scott D. Wollenweber… Pages 539-549
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  15. Original Article

    A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET

    Kobra Etminani, Amira Soliman… Pages 563-584
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  16. No Access

    Original Article

    Diagnostic performance of deep learning models for detecting bone metastasis on whole-body bone scan in prostate cancer

    Sangwon Han, Jungsu S. Oh, Jong Jin Lee Pages 585-595

  17. Original Article

    AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis

    V. Romeo, P. Clauser, S. Rasul, P. Kapetas… Pages 596-608
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  18. No Access

    Original Article

    Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT

    Yu Zhao, Andrei Gafita, Bernd Vollnberg… Pages 603-613

  19. No Access

    Original Article

    Radiomic analysis of magnetic resonance fingerprinting in adult brain tumors

    Sara Dastmalchian, Ozden Kilinc… Pages 683-693

  20. No Access

    Original Article

    A deep neural network for parametric image reconstruction on a large axial field-of-view PET

    Y. Li, J. Hu, H. Sari, S. Xue, R. Ma… Pages 701-714
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