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!

Welcome Kaushalya!

BSc. Kaushalya Ramanayake Mudiyanselage started as a research assistant in our group. His research is related to development of PET/MRI imaging. Welcome!

Welcome Naipunya!

BSc. Naipunya Guruprasad started as research assistant in our group. Her research project is related to application of machine learning to cardiovascular diseases and PET imaging. Welcome!