1. EJNMMI supplement: bringing AI and radiomics to nuclear medicine

   • Patrick Veit-Haibach
   • Irène Buvat
   • Ken Herrmann

   Editorial 25 June 2019 Pages: 2627 - 2629

2. Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

   • Dimitris Visvikis
   • Catherine Cheze Le Rest
   • Mathieu Hatt

   Review Article 06 July 2019 Pages: 2630 - 2637

   

3. Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

   • Alex Zwanenburg

   Original Article 25 June 2019 Pages: 2638 - 2655

   

4. Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics

   • Martina Sollini
   • Lidija Antunovic
   • Margarita Kirienko

   Review Article Open access 18 June 2019 Pages: 2656 - 2672

   

5. AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

   • Isabella Castiglioni
   • Francesca Gallivanone
   • Marco Salvatore

   Review Article 11 July 2019 Pages: 2673 - 2699

   

6. Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning

   • Greg Zaharchuk

   Review Article 29 June 2019 Pages: 2700 - 2707

   

7. Physician centred imaging interpretation is dying out — why should I be a nuclear medicine physician?

   • Roland Hustinx

   Review Article 07 June 2019 Pages: 2708 - 2714

8. What can artificial intelligence teach us about the molecular mechanisms underlying disease?

   • Gary J. R. Cook
   • Vicky Goh

   Review Article Open access 12 June 2019 Pages: 2715 - 2721

   

9. Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data

   • Andreas Holzinger
   • Benjamin Haibe-Kains
   • Igor Jurisica

   Original Article 15 June 2019 Pages: 2722 - 2730

   

10. Artificial intelligence and radiomics in nuclear medicine: potentials and challenges

    • Cumali Aktolun

    Editorial 15 November 2019 Pages: 2731 - 2736

    

11. Quantitative imaging biomarkers in nuclear medicine: from SUV to image mining studies. Highlights from annals of nuclear medicine 2018

    • Martina Sollini
    • Francesco Bandera
    • Margarita Kirienko

    Review Article 05 November 2019 Pages: 2737 - 2745

    

12. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI

    • Hossein Arabi
    • Guodong Zeng
    • Habib Zaidi

    Original Article 01 July 2019 Pages: 2746 - 2759

    

13. Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma

    • Marius E. Mayerhoefer
    • Christopher C. Riedl
    • Heiko Schöder

    Original Article Open access 08 July 2019 Pages: 2760 - 2769

    

14. Integrating manual diagnosis into radiomics for reducing the false positive rate of ¹⁸F-FDG PET/CT diagnosis in patients with suspected lung cancer

    • Fei Kang
    • Wei Mu
    • Jing Wang

    Original Article 18 July 2019 Pages: 2770 - 2779

    

15. PET image denoising using unsupervised deep learning

    • Jianan Cui
    • Kuang Gong
    • Quanzheng Li

    Original Article 29 August 2019 Pages: 2780 - 2789

    

16. Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT

    • P. J. Brown
    • J. Zhong
    • A. Scarsbrook

    Original Article Open access 04 September 2019 Pages: 2790 - 2799

    

17. Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics

    • Markus Wenzel
    • Fausto Milletari
    • Ralph Buchert

    Original Article 31 August 2019 Pages: 2800 - 2811

    

18. Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings

    • Qian Zhou
    • Yi-heng Cao
    • Zhi-hang Chen

    Letter to the Editor 06 November 2019 Pages: 2812 - 2813

19. Reply to: “Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings”

    • Martina Sollini
    • Margarita Kirienko

    Reply 30 August 2019 Pages: 2814 - 2815

20. From molecules to system failure: translational frontiers of multimodal imaging in neurodegenerative diseases

    • Thilo van Eimeren
    • Alexander Drzezga

    Editorial 30 October 2019 Pages: 2816 - 2818

21. Connectomics and molecular imaging in neurodegeneration

    • Gérard N. Bischof
    • Michael Ewers
    • on behalf of the MINC faculty

    Review Article 11 July 2019 Pages: 2819 - 2830

    

22. Prospects and challenges of imaging neuroinflammation beyond TSPO in Alzheimer’s disease

    • Delphine Boche
    • Alexander Gerhard
    • on behalf of the MINC Faculty

    Review Article Open access 08 August 2019 Pages: 2831 - 2847

    

23. Engineered antibodies: new possibilities for brain PET?

    • Dag Sehlin
    • Stina Syvänen
    • on behalf of the MINC faculty

    Review Article Open access 24 July 2019 Pages: 2848 - 2858