Has PET incremental prognostic value after CCTA? Yes, at least for the first 4 years of follow-up. For more details check out our latest article “Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning” published in European Heart Journal – Cardiovascular Imaging.
Our new segmentation method for dynamic long axial FOV PET has been published: Segmentation of dynamic total-body [18F]-FDG PET images using unsupervised clustering.
PET perfusion imaging after coronary CT angiography has incremental prognostic value. Read more about our fresh article published in the European Heart Journal – Cardiovascular Imaging. https://doi.org/10.1093/ehjci/jead246
Our latest article about using deep learning for segmentation of tumour tissue from PET images has been published. https://doi.org/10.1007/s42600-023-00314-7
Our latest publication “Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning” about using machine learning in cancer segmentation is out now! https://link.springer.com/article/10.1007/s40846-023-00818-8
Our fresh publication “Hybridizing machine learning in survival analysis of cardiac PET/CT imaging” published at Journal of Nuclear Cardiology utilises machine learning to combine clinical information with cardiac PET/CT in survival analysis. https://link.springer.com/article/10.1007/s12350-023-03359-4
Our latest publication Development and validation of COEWS (COVID-19 Early Warning Score) for hospitalized COVID-19 with laboratory features: a multicontinental retrospective study has been published. https://elifesciences.org/articles/85618/figures#content
Our latest article about application of machine learning to PET images and head & neck cancer is out now: https://doi.org/10.1038/s41598-023-37603-1
BSc. Enni Snellman started as a research assistant in our group. She researches the effect of framing in dynamic PET imaging. Welcome!
Our new article “Carimas: An Extensive Medical Imaging Data Processing Tool for Research” has been published.