Eirini Polymeri

Sahlgrenska University Hospital — Sweden

Medicine · Health Sciences

4h-index86citations11works0.02yr avg
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Research Topics

Medical Imaging Techniques and Applications(8), Radiomics and Machine Learning in Medical Imaging(8), Prostate Cancer Diagnosis and Treatment(4), Advanced Radiotherapy Techniques(4), Prostate Cancer Treatment and Research(3)

Publications11 total

Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography
Advances in Radiation Oncology·2023· 8 citedOpen Access
Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients
Scandinavian Journal of Urology·2021· 11 citedOpen Access
Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival
Clinical Physiology and Functional Imaging·2019· 40 citedOpen Access
Prognostic value of automatically acquired biomarkers using artificial intelligence in 18F-Choline PET/CT in high-risk prostate cancer.
2019· 1 cited
Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using <scp>FDG</scp>‐<scp>PET</scp>/<scp>CT</scp> in Hodgkin and non‐Hodgkin lymphomas
Clinical Physiology and Functional Imaging·2018· 25 cited
Analytical validation of an automated method for segmentation of the prostate gland in CT images
University of Southern Denmark Research Portal (University of Southern Denmark)·2017
3D prostate gland uptake of 18F-choline - association with overall survival in patients with hormone-naïve prostate cancer
University of Southern Denmark Research Portal (University of Southern Denmark)·2017
Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images
University of Southern Denmark Research Portal (University of Southern Denmark)·2017· 1 cited
Variability in reference levels for Deauville classifications applied to lymphoma patients examined with 18F-FDG-PET/CT
Chalmers Research (Chalmers University of Technology)·2017
Convolutional neural network based quantification of choline uptake in PET/CT studies is associated with overall survival in patients with prostate cancer
Chalmers Research (Chalmers University of Technology)·2017
Automated quantification of reference levels in liver and mediastinum (blood pool) for the Deauville therapy response classification using FDG-PET/CT in lymphoma patients
Chalmers Research (Chalmers University of Technology)·2017

Frequent Co-authors

Elin Trägårdh(10), Lars Edenbrandt(10), Olof Enqvist(9), May Sadik(8), Johannes Ulén(7), Jane Angel Simonsen(6), Poul Flemming Høilund‐Carlsen(6), Åse A. Johnsson(6), Reza Kaboteh(5), Mads Hvid Poulsen(5), Pablo Borrelli(3), Mattias Ohlsson(3), Erica Lind(3), Henrik Kjölhede(2), Frida Fejne(2), Fredrik Kahl(2), O. Enqvist(2), Johannes Ulén(1), Niclas Pettersson(1), Fredrik Nordström(1)