Gabriel Addio Nketiah
About
Education
PhD Medical Technology, NTNU - Norwegian University of Science Technology, Trondheim, 2018
MSc Biomedical Engineering, Tampere Univeristy of Technology, Finland, 2013
PGDip Multimedia Communication, Metropolia University of Applied Sciences, Finland, 2010
BSc Computer Engineering, KNUST, Ghana, 2008
Research Group
Research Focus
My research focuses on developing and translating quantitative medical imaging and artificial intelligence (AI) methods for cancer diagnosis, with a particular focus on prostate cancer and multiparametric MRI. My work includes advanced image processing, quality assurance, radiomics, machine learning, and clinically oriented decision-support tools designed to improve the reliability, interpretability, and diagnostic value of medical imaging. I work across the full translational pipeline, spanning image optimization and artifact correction, quantitative feature extraction, predictive modelling, validation, and clinical implementation, with the aim of making imaging-based AI more robust, reproducible, and clinically useful.
Research
Publications
2026
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Sunoqrot, Mohammed R. S.;
Segre, Rebecca;
Nketiah, Gabriel Addio;
Davik, Petter;
Sjøbakk, Torill Eidhammer;
Langørgen, Sverre;
Elschot, Mattijs;
Bathen, Tone Frost.
(2026)
Prospective validation of an AI software for detecting clinically significant prostate cancer on biparametric MRI.
Insights into Imaging
Academic article
2023
-
Dewi, Dyah Ekashanti Octorina;
Sunoqrot, Mohammed R. S.;
Nketiah, Gabriel Addio;
Sandsmark, Elise;
Giskeødegård, Guro F.;
Langørgen, Sverre;
Bertilsson, Maria Helena;
Elschot, Mattijs;
Bathen, Tone Frost.
(2023)
The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features.
Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
2021
-
Bathen, Tone Frost;
Nketiah, Gabriel Addio.
(2021)
Editorial for "MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions".
JMRI
Editorial
-
Nketiah, Gabriel Addio;
Bathen, Tone Frost.
(2021)
MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Journal of Magnetic Resonance Imaging
Editorial
-
Nketiah, Gabriel Addio;
Bathen, Tone Frost.
(2021)
Editorial for “MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions”.
Journal of Magnetic Resonance Imaging
Editorial
-
Nketiah, Gabriel Addio;
Elschot, Mattijs;
Scheenen, Tom W.J.;
Maas, Marnix C.;
Bathen, Tone Frost;
Selnæs, Kirsten Margrete.
(2021)
Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study.
Scientific Reports
Academic article
2020
-
Sunoqrot, Mohammed R. S.;
Selnæs, Kirsten Margrete;
Sandsmark, Elise;
Nketiah, Gabriel Addio;
Zavala-Romero, Olmo;
Stoyanova, Radka;
Bathen, Tone Frost;
Elschot, Mattijs.
(2020)
A quality control system for automated prostate segmentation on T2-weighted MRI.
Diagnostics (Basel)
Academic article
-
Sunoqrot, Mohammed R. S.;
Nketiah, Gabriel Addio;
Selnæs, Kirsten Margrete;
Bathen, Tone Frost;
Elschot, Mattijs.
(2020)
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition.
Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
2017
-
Nketiah, Gabriel;
Selnæs, Kirsten Margrete;
Sandsmark, Elise;
Teruel, Jose Ramon;
Stokke, Brage Krüger-;
Bertilsson, Helena;
Bathen, Tone Frost;
Elschot, Mattijs.
(2017)
Geometric distortion correction in prostate diffusion-weighted MRI and its effect on quantitative apparent diffusion coefficient analysis.
Magnetic Resonance in Medicine
Academic article
2016
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Nketiah, Gabriel;
Elschot, Mattijs;
Kim, Eugene;
Teruel, Jose Ramon;
Scheenen, Tom WJ;
Bathen, Tone Frost;
Selnæs, Kirsten Margrete.
(2016)
T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results.
European Radiology
Academic article
2014
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Nketiah, Gabriel;
Sievänen, Harri;
Eskola, Hannu.
(2014)
Correlation between hip muscles MRI texture parameters and femoral neck boneareal bone mineral density (aBMD) in different athletes groups.
Physica Medica
Conference abstract
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Nketiah, Gabriel;
Savio, Sami;
Dastidar, Prasun;
Nikander, Riku;
Eskola, Hannu;
Sievänen, Harri.
(2014)
Detection of exercise load-associated differences in hip muscles by texture analysis.
Scandinavian Journal of Medicine & Science in Sports
Academic article
Journal publications
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Sunoqrot, Mohammed R. S.;
Segre, Rebecca;
Nketiah, Gabriel Addio;
Davik, Petter;
Sjøbakk, Torill Eidhammer;
Langørgen, Sverre;
Elschot, Mattijs;
Bathen, Tone Frost.
(2026)
Prospective validation of an AI software for detecting clinically significant prostate cancer on biparametric MRI.
Insights into Imaging
Academic article
-
Nketiah, Gabriel;
Sievänen, Harri;
Eskola, Hannu.
(2014)
Correlation between hip muscles MRI texture parameters and femoral neck boneareal bone mineral density (aBMD) in different athletes groups.
Physica Medica
Conference abstract
-
Nketiah, Gabriel;
Savio, Sami;
Dastidar, Prasun;
Nikander, Riku;
Eskola, Hannu;
Sievänen, Harri.
(2014)
Detection of exercise load-associated differences in hip muscles by texture analysis.
Scandinavian Journal of Medicine & Science in Sports
Academic article
-
Nketiah, Gabriel;
Elschot, Mattijs;
Kim, Eugene;
Teruel, Jose Ramon;
Scheenen, Tom WJ;
Bathen, Tone Frost;
Selnæs, Kirsten Margrete.
(2016)
T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results.
European Radiology
Academic article
-
Nketiah, Gabriel;
Selnæs, Kirsten Margrete;
Sandsmark, Elise;
Teruel, Jose Ramon;
Stokke, Brage Krüger-;
Bertilsson, Helena;
Bathen, Tone Frost;
Elschot, Mattijs.
(2017)
Geometric distortion correction in prostate diffusion-weighted MRI and its effect on quantitative apparent diffusion coefficient analysis.
Magnetic Resonance in Medicine
Academic article
-
Sunoqrot, Mohammed R. S.;
Selnæs, Kirsten Margrete;
Sandsmark, Elise;
Nketiah, Gabriel Addio;
Zavala-Romero, Olmo;
Stoyanova, Radka;
Bathen, Tone Frost;
Elschot, Mattijs.
(2020)
A quality control system for automated prostate segmentation on T2-weighted MRI.
Diagnostics (Basel)
Academic article
-
Bathen, Tone Frost;
Nketiah, Gabriel Addio.
(2021)
Editorial for "MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions".
JMRI
Editorial
-
Nketiah, Gabriel Addio;
Bathen, Tone Frost.
(2021)
MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Journal of Magnetic Resonance Imaging
Editorial
-
Sunoqrot, Mohammed R. S.;
Nketiah, Gabriel Addio;
Selnæs, Kirsten Margrete;
Bathen, Tone Frost;
Elschot, Mattijs.
(2020)
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition.
Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
-
Nketiah, Gabriel Addio;
Bathen, Tone Frost.
(2021)
Editorial for “MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions”.
Journal of Magnetic Resonance Imaging
Editorial
-
Nketiah, Gabriel Addio;
Elschot, Mattijs;
Scheenen, Tom W.J.;
Maas, Marnix C.;
Bathen, Tone Frost;
Selnæs, Kirsten Margrete.
(2021)
Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study.
Scientific Reports
Academic article
-
Dewi, Dyah Ekashanti Octorina;
Sunoqrot, Mohammed R. S.;
Nketiah, Gabriel Addio;
Sandsmark, Elise;
Giskeødegård, Guro F.;
Langørgen, Sverre;
Bertilsson, Maria Helena;
Elschot, Mattijs;
Bathen, Tone Frost.
(2023)
The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features.
Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
Outreach
2026
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Conference lectureSegre, Rebecca; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Davik, Petter; Langørgen, Sverre; Elschot, Mattijs; Bathen, Tone Frost. (2026) PROVIZ Proof-of-Technology Study: Performance of a machine learning software for detection of clinically significant prostate cancer on biparametric MRI in a prospective clinical study. European Congress of Radiology 2025
2025
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LectureSunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio. (2025) PROVIZ - A Journey Through Innovation. påDRIV Foredragsserie
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Conference posterSunoqrot, Mohammed R. S.; Segre, Rebecca; Sjøbakk, Torill Eidhammer; Nketiah, Gabriel Addio; Davik, Petter; Langørgen, Sverre; Elschot, Mattijs; Bathen, Tone Frost. (2025) Preliminary Results of Prospective Clinical Study Evaluating Machine Learning Software forDetecting Significant Prostate Cancer on bpMRI. 2025 ISMRM & ISMRT Annual Meeting & Exhibition
2024
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Conference posterSegre, Rebecca; Nketiah, Gabriel Addio; Nael, Axel; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs. (2024) Explaining MRI radiomics-based detection of prostate cancer using clinical concepts. 2024 ISMRM & ISMRT Annual Meeting & Exhibition
2023
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Conference posterPatsanis, Alexandros; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Selnæs, Kirsten Margrete; Nketiah, Gabriel Addio; Wang, Hao; Bathen, Tone Frost; Elschot, Mattijs. (2023) Improving Prostate Cancer Detection Using Bi-parametric MRI with Conditional Generative Adversarial Networks. 2023 ISMRM & ISMRT
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Conference posterBozorgpana, Selma; Nketiah, Gabriel Addio; Andersen, Maria Karoline; Tessem, May-Britt; Bathen, Tone Frost. (2023) Improving Prostate Cancer Care: AI-Enhanced Integration of MRI and 'Omics' Data. Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2023 (PRESIMAL Autumn Research School )
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Conference 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
2022
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Conference posterDewi, Dyah Ekashanti Octorina; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Maria Helena; Elschot, Mattijs; Bathen, Tone Frost. (2022) Developing a Delta Radiomics Framework for Prostate Cancer Progression Biomarkers in Patients under Active Surveillance: Pilot Study. International Society of Magnetic Resonance in Medicine (ISMRM) annual meeting
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Conference posterSunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Abrahamsen, Bendik Skarre; Patsanis, Alexandros; Nketiah, Gabriel Addio; Bathen, Tone Frost; Elschot, Mattijs. (2022) A deep learning-based quality control system for co-registration of prostate MR images. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting
2021
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Conference posterPatsanis, Alexandros; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Selnæs, Kirsten Margrete; Nketiah, Gabriel Addio; Wang, Hao; Bathen, Tone Frost; Elschot, Mattijs. (2021) Improving Prostate Cancer Detection Using Bi-parametric MRI with Conditional Generative Adversarial Networks. MMIV Conference 2021
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Conference posterSunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Abrahamsen, Bendik Skarre; Patsanis, Alexandros; Nketiah, Gabriel Addio; Bathen, Tone Frost; Elschot, Mattijs. (2021) A deep learning-based quality control system for co-registration of prostate MR images. MMIV Conference 2021
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Conference posterDewi, Dyah Ekashanti Octorina; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Elschot, Mattijs; Bathen, Tone Frost. (2021) Repeatability of Radiomic Features in T2-Weighted Prostate MRI: Impact of Pre-processing Configurations. 2021 ISMRM Annual Meeting & Exhibition
2020
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Conference lectureNketiah, Gabriel Addio. (2020) Tumor Probability Maps for Targeted Prostate Biopsy Sampling. Seminar
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Conference lectureNketiah, Gabriel Addio; Elschot, Mattijs; Bathen, Tone Frost. (2020) Added Value of DCE in Machine Learning-based Tumor Probability Maps for Predicting Clinically Significant Cancer Foci in Pre-biopsy MR images. ISMRM Virtual Conference
2019
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Conference lectureNketiah, Gabriel Addio; Elschot, Mattijs; Bathen, Tone Frost. (2019) Multiparametric MRI-based Tumor Probability Maps for Guidance of Targeted Prostate Biopsies. Regional Forskingskonferanse 2019
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Conference lectureNketiah, Gabriel Addio; Elschot, Mattijs; Bathen, Tone Frost. (2019) mpMRI-based Tumor Probability Maps for Guidance of Targeted Prostate Biopsies. ISMRM 27th Annual Meeting
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Conference posterElschot, Mattijs; Nketiah, Gabriel Addio; Sunoqrot, Mohammed; Bathen, Tone Frost. (2019) Object recognition for fully automated reference tissue normalization of T2-weighted MR images of the prostate. ISMRM 27th Annual Meeting
2018
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Conference lectureNketiah, Gabriel Addio; Bathen, Tone Frost; Elschot, Mattijs; Selnæs, Kirsten Margrete. (2018) T2-weighted MRI-derived textural features can help the assessment of peripheral zone prostate cancer: results from multi-center data. ISMRM Annual Meeting
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Conference posterNketiah, Gabriel Addio; Bathen, Tone Frost; Selnæs, Kirsten Margrete; Elschot, Mattijs. (2018) Peripheral Zone Prostate Cancer Aggressiveness Prediction Using T2WI Radiomic Features: Multi-center Results. 4th Annual Trondheim MRI Seminar and ISMRM Nordic Chapter Meeting
2017
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LectureNketiah, Gabriel; Selnæs, Kirsten Margrete; Sandsmark, Elise; Teruel, Jose Ramon; Bathen, Tone Frost; Elschot, Mattijs. (2017) Geometric Distortion Correction of Diffusion Weighted-MRI and its Effect on quantitative ADC analysis. ISMRM 2017
2016
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LectureNketiah, Gabriel; Elschot, Mattijs; Kim, Eugene; Bathen, Tone Frost; Selnæs, Kirsten Margrete. (2016) Evaluation of T2W MRI-derived Textural Entropy for Assessment of Prostate Cancer Aggressiveness. Conference
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Conference lectureNketiah, Gabriel. (2016) MRI in Prostate Cancer Management: Current Status and Future Prospectives. Nowary-Ghana Summer School on Diagnostic Imaging
2015
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LectureNketiah, Gabriel; Elschot, Mattijs; Kim, Eugene; Bathen, Tone Frost; Selnæs, Kirsten Margrete. (2015) Correlation between T2W-MR image texture entropy and pathophysiological measures in prostate cancer. Lecture
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Conference posterNketiah, Gabriel; Elschot, Mattijs; Kim, Eugene; Bathen, Tone Frost; Selnæs, Kirsten Margrete. (2015) Correlation between T2W MRI-based Texture Parameters and Pathophysiological Measures in Prostate Cancer. Poster
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Conference posterNketiah, Gabriel; Elschot, Mattijs; Kim, Eugene; Bathen, Tone Frost; Selnæs, Kirsten Margrete. (2015) Relationship between T2W-MR Image Textural Entropy Pathophysiological Parameters in Prostate Cancer. Bridging Nordic Imaging Seminar