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

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

Welcome Enni!

BSc. Enni Snellman started as a research assistant in our group. She researches the effect of framing in dynamic PET imaging. Welcome!