Physica Medica-European Journal of Medical Physics

Papers
(The H4-Index of Physica Medica-European Journal of Medical Physics is 32. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
AI applications to medical images: From machine learning to deep learning245
Photon-counting CT review216
The promise of artificial intelligence and deep learning in PET and SPECT imaging151
Artificial intelligence and machine learning for medical imaging: A technology review132
The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research120
A review of deep learning based methods for medical image multi-organ segmentation101
Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia101
Tungsten-based material as promising new lead-free gamma radiation shielding material in nuclear medicine95
Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review82
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization81
Technical challenges for FLASH proton therapy79
Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study74
The European Joint Research Project UHDpulse – Metrology for advanced radiotherapy using particle beams with ultra-high pulse dose rates70
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools60
Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods60
Comparison of different deep learning architectures for synthetic CT generation from MR images55
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives54
Artificial intelligence in image reconstruction: The change is here53
A review of dose calculation approaches with cone beam CT in photon and proton therapy51
Effects of MRI image normalization techniques in prostate cancer radiomics49
Estimates of the number of patients with high cumulative doses through recurrent CT exams in 35 OECD countries49
Update on latest advances in time-of-flight PET47
The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics45
A validation of SpekPy: A software toolkit for modelling X-ray tube spectra44
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy43
Error detection using a convolutional neural network with dose difference maps in patient-specific quality assurance for volumetric modulated arc therapy43
Dental cone beam CT: An updated review41
Machine learning helps identifying volume-confounding effects in radiomics40
Effective dose from radiation exposure in medicine: Past, present, and future40
X-ray phase imaging reaching clinical uses38
Basic of machine learning and deep learning in imaging for medical physicists34
Advances in micro-CT imaging of small animals33
Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation32
Evaluation of a cycle-generative adversarial network-based cone-beam CT to synthetic CT conversion algorithm for adaptive radiation therapy32
Principles and applications of dual source CT32
0.037379026412964