Incremental prognostic value of downstream PET imaging after CCTA
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.
Segmentation method for long axial FOV dynamic PET
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.
Incremental prognostic value of PET perfusion imaging
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
DL application for segmentation of tumour tissue from PET images
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
Deep learning in cancer segmentation from PET/MRI images
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
Machine learning in survival analysis of cardiac patients
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
COVID-19 Early Warning Score is out now!
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 first head and neck cancer related article has been published
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!