Seminars in Nuclear Medicine

Papers
(The H4-Index of Seminars in Nuclear Medicine is 23. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Limitations and Pitfalls of FDG-PET/CT in Infection and Inflammation57
Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives54
Imaging of COVID-19: CT, MRI, and PET47
Application of Deep Learning in Breast Cancer Imaging47
Brain [F-18]FDG PET for Clinical Dementia Workup: Differential Diagnosis of Alzheimer's Disease and Other Types of Dementing Disorders43
Imaging of Head and Neck Cancer With CT, MRI, and US41
Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?41
Ischemic Heart Disease: An Update40
Imaging of Tumor Hypoxia for Radiotherapy: Current Status and Future Directions40
PET and SPECT Tracers for Myocardial Perfusion Imaging39
Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning37
Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine35
[18F]FDG-PET/CT Radiomics and Artificial Intelligence in Lung Cancer: Technical Aspects and Potential Clinical Applications33
Clinical Management of COVID-19 Patients – An Update31
PET/MR in Head and Neck Cancer – An Update31
Advances in Brain Amyloid Imaging30
Radiomics in PET/CT: Current Status and Future AI-Based Evolutions30
Peptide Receptor Radionuclide Therapy of Neuroendocrine Tumors28
Imaging of Tau Pathology in Neurodegenerative Diseases: An Update28
Coronavirus Disease 2019 (COVID-19) in Molecular Imaging: A Systematic Review of Incidental Detection of SARS-CoV-2 Pneumonia on PET Studies26
Recent Developments in SPECT/CT25
FDG PET/CT for Assessment of Immune Therapy: Opportunities and Understanding Pitfalls25
FDG-PET/CT of COVID-19 and Other Lung Infections25
Artificial Intelligence for Optimization and Interpretation of PET/CT and PET/MR Images23
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