Alexandros Patsanis
About
Data Scientist with extensive experience in Deep Learning, Big Data, Cloud Computing, Data Processing and Image Analysis. With over a decade of programming experience in various programming languages such as Python, SQL, PHP, Java, etc. I have refined and applied my skills to solve complex real world problems.
My education includes:
- B.Sc. in Informatics & Communication with specialization in Software Engineering.
- Postgraduate Certificate in Education (PGCE)
- M.Sc. in Computer Science with specialization in Machine Learning.
About my research:
- Applied Generative Adversarial Networks (GANs) for prostate cancer (PCa) detection and localization on various MRI sequences.
- Developed an automated computer-aided detection pipeline (CAD) including normalization, segmentation (nnUNet), segmentation quality check, prostate sampling, and GANs.
- Developed a Python toolkit for sampling MRI. Evaluated with Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) for clinically significant PCa (csPCA), showing improvement in performance.
Under PROVIZ project funded by the Research Council of Norway. Read more about in NTNU Discovery.
Publications
CROPro: a tool for automated cropping of prostate magnetic resonance images
To bypass manual data preprocessing and optimize deep learning performance, we developed and evaluated CROPro, a tool to standardize automated cropping of prostate magnetic resonance (MR) images.
A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI
Generative Adversarial Networks (GANs) have shown potential in medical imaging. In this study, several previously developed GANs were investigated for prostate cancer (PCa) detection on T2-weighted (T2W) magnetic resonance images (MRI).
2025
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Patsanis, Alexandros.
(2025)
Deep Generative Models for Supporting Prostate Cancer Diagnosis on MR Images.
Doctoral theses at NTNU (52)
Doctoral dissertation
2023
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Patsanis, Alexandros;
Sunoqrot, Mohammed R. S.;
Bathen, Tone Frost;
Elschot, Mattijs.
(2023)
CROPro: a tool for automated cropping of prostate magnetic resonance images.
Journal of Medical Imaging
Academic article
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Patsanis, Alexandros;
Sunoqrot, Mohammed R. S.;
Langørgen, Sverre;
Wang, Hao;
Selnæs, Kirsten Margrete;
Bertilsson, Maria Helena.
(2023)
A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI.
Informatics in Medicine Unlocked (IMU)
Academic article
Journal publications
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Patsanis, Alexandros;
Sunoqrot, Mohammed R. S.;
Bathen, Tone Frost;
Elschot, Mattijs.
(2023)
CROPro: a tool for automated cropping of prostate magnetic resonance images.
Journal of Medical Imaging
Academic article
-
Patsanis, Alexandros;
Sunoqrot, Mohammed R. S.;
Langørgen, Sverre;
Wang, Hao;
Selnæs, Kirsten Margrete;
Bertilsson, Maria Helena.
(2023)
A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI.
Informatics in Medicine Unlocked (IMU)
Academic article
Report
-
Patsanis, Alexandros.
(2025)
Deep Generative Models for Supporting Prostate Cancer Diagnosis on MR Images.
Doctoral theses at NTNU (52)
Doctoral dissertation
Outreach
2023
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PosterSegre, Rebecca; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Patsanis, Alexandros; Bathen, Tone Frost; Elschot, Mattijs. (2023) Biparametric MRI classification model for prostate cancer detection using a combination of prediction maps. 2023 ISMRM & ISMRT Annual Meeting & Exhibition , Toronto, ON 2023-06-03 - 2023-06-08
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PosterPatsanis, Alexandros; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Selnæs, Kirsten Margrete. (2023) Improving Prostate Cancer Detection Using Bi-parametric MRI with Conditional Generative Adversarial Networks. ISMRM 2023 ISMRM & ISMRT , Toronto 2023-06-03 - 2023-06-08
2022
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PosterSunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Abrahamsen, Bendik Skarre; Patsanis, Alexandros; Nketiah, Gabriel Addio; Bathen, Tone Frost. (2022) A deep learning-based quality control system for co-registration of prostate MR images. International Society for Magnetic Resonance in Medicine Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting , London 2022-05-07 - 2022-05-12
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PosterPatsanis, Alexandros; Sunoqrot, Mohammed R. S.; Langørgen, Sverre; Wang, Hao; Selnæs, Kirsten Margrete; Bertilsson, Helena. (2022) A comparison of Generative Adversarial Networks for Automated Prostate Cancer Detection on T2-weighted Magnetic Resonance Images. Mohn Medical Imaging and Visualization Centre - MMIV Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2022 , Bergen 2022-09-14 - 2022-09-16
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PosterZerka, Fadila; Sunoqrot, Mohammed R. S.; Abrahamsen, Bendik Skarre; Patsanis, Alexandros; Bathen, Tone Frost; Elschot, Mattijs. (2022) A privacy-preserving federated learning infrastructure for prostate segmentation on T2-Weighted MRI. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting , London 2022-05-07 - 2022-05-12
2021
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Academic lecturePatsanis, Alexandros. (2021) Deep Learning and Feature extraction. IEEE EMBS Indonesia IEEE EMBS Indonesia Webinar "Introduction to Radiomics" , Vitrual 2021-02-18 - 2021-02-18
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PosterPatsanis, Alexandros; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Selnæs, Kirsten Margrete. (2021) Improving Prostate Cancer Detection Using Bi-parametric MRI with Conditional Generative Adversarial Networks. Mohn Medical Imaging and Visualization Centre - MMIV MMIV Conference 2021 , Bergen 2021-12-09 - 2021-12-10
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Academic lecturePatsanis, Alexandros; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Selnæs, Kirsten Margrete. (2021) Prostate Cancer Detection on T2-weighted MR images with Generative Adversarial Networks. International Society for Magnetic Resonance in Medicine ISMRM & SMRT 2021 , Vitrual Conference 2021-05-15 - 2021-05-20
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PosterSunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Abrahamsen, Bendik Skarre; Patsanis, Alexandros; Nketiah, Gabriel Addio; Bathen, Tone Frost. (2021) A deep learning-based quality control system for co-registration of prostate MR images. Mohn Medical Imaging and Visualization Centre (MMIV) MMIV Conference 2021 , Bergen 2021-12-09 - 2021-12-10