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  1. Ansatte

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English

Mohammed R. S. Sunoqrot

Last ned pressefoto
Last ned pressefoto
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Mohammed R. S. Sunoqrot

Forsker

mohammed.sunoqrot@ntnu.no
+4746632587 1.306B Fred Kavli-bygget, del 1 Øya, Trondheim
ResearchGate Scopus Google Scholar CIMORe Group PROVIZ
Om Forskning Publikasjoner Formidling

Om

En postdoktorforsker ved CIMORe-gruppen med bakgrunn innen medisinsk teknologi og biomedisinsk ingeniørfag. Jeg har erfaring med medisinsk bildeanalyse, bildebehandling, datamanagement, radiomics, maskinlæring og dyp læring.

Mitt hovedfokus er å utvikle, forbedre og teste datastøttede diagnosesystemer for prostatakreft ved bruk av multiparametrisk MR. Disse systemene har potensial til å forbedre behandlingen av prostatakreft i klinisk praksis betydelig.

Jeg fullførte min doktorgrad i medisinsk teknologi ved Norges teknisk-naturvitenskapelige universitet (NTNU) i Trondheim, Norge, i august 2021. Før det fullførte jeg en MSc i biomedisinsk ingeniørfag med utmerkelse fra University of Dundee i Storbritannia i 2016, og en BSc i biomedisinsk ingeniørfag fra German Jordanian University i Jordan i 2014.

Personlig nettside https://mohammedsunoqrot.github.io

Kompetanseord

  • Bildediagnostikk
  • Dataassistert diagnose
  • Deep Learning
  • MR
  • Machine Learning
  • Medical image analysis
  • Medisinsk teknologi
  • Prostata kreft
  • Radiomics
  • Segmentation

Forskning

  • CIMORe
  • PROVIZ

AI-based decision support system for detection and localization of prostate cancer

The aim of this project is to develop, optimize, and validate a robust, accurate, precise and generalized AI-based decision support system using mpMRI for prostate cancer detection and localization with a large, multicenter cohort.

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Alle publikasjoner i Nasjonalt vitenarkiv (NVA)

2026

  • Sunoqrot, Mohammed R. S.; Segre, Rebecca; Nketiah, Gabriel Addio; Davik, Petter; Sjøbakk, Torill Eidhammer; Langørgen, Sverre. (2026) Prospective validation of an AI software for detecting clinically significant prostate cancer on biparametric MRI. Insights into Imaging
    Vitenskapelig artikkel

2025

  • Moradi, Ashkan; Zerka, Fadila; Bosma, Joeran S.; Sunoqrot, Mohammed R. S.; Abrahamsen, Bendik Skarre; Derya, Yakar. (2025) Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study. Radiology: Artificial Intelligence (RAI)
    Vitenskapelig artikkel

2024

  • Saha, Anindo; Bosma, Joeran S; Twilt, Jasper J; Ginneken, Bram van; Bjartell, Anders; Padhani, Anwar R. (2024) Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. The Lancet Oncology
    Vitenskapelig artikkel

2023

  • Meglic, Jakob; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs. (2023) Label-set impact on deep learning-based prostate segmentation on MRI. Insights into Imaging
    Vitenskapelig artikkel
  • 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)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Dewi, Dyah Ekashanti Octorina; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Sandsmark, Elise; Giskeødegård, Guro F.; Langørgen, Sverre. (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
    Vitenskapelig artikkel

2022

  • Sørland, Kaia Ingerdatter; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Trimble, Christopher George. (2022) Pseudo-T2 mapping for normalization of T2-weighted prostate MRI. Magnetic Resonance Materials in Physics, Biology and Medicine
    Vitenskapelig artikkel
  • Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J.. (2022) Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges. European Radiology Experimental
    Vitenskapelig artikkel

2021

  • Sunoqrot, Mohammed R. S.; Elschot, Mattijs; Bathen, Tone Frost; Selnæs, Kirsten Margrete; Martens, Harald Aagaard. (2021) Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Preprocessing, Segmentation and Quality Control. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doktorgradsavhandling
  • Sunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Bathen, Tone Frost. (2021) The reproducibility of deep learning-based segmentation of the prostate gland and zones on t2-weighted mr images. Diagnostics (Basel)
    Vitenskapelig artikkel

2020

  • Sunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Sandsmark, Elise; Nketiah, Gabriel Addio; Zavala-Romero, Olmo; Stoyanova, Radka. (2020) A quality control system for automated prostate segmentation on T2-weighted MRI. Diagnostics (Basel)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel

2019

  • Billdal, Daniel Chen; While, Peter Thomas; Selnæs, Kirsten Margrete; Sunoqrot, Mohammed; Langørgen, Sverre; Bertilsson, Helena. (2019) Relative enhanced diffusivity in prostate cancer: Protocol optimization and diagnostic potential. Journal of Magnetic Resonance Imaging
    Vitenskapelig artikkel

Tidsskriftspublikasjoner

  • Sunoqrot, Mohammed R. S.; Segre, Rebecca; Nketiah, Gabriel Addio; Davik, Petter; Sjøbakk, Torill Eidhammer; Langørgen, Sverre. (2026) Prospective validation of an AI software for detecting clinically significant prostate cancer on biparametric MRI. Insights into Imaging
    Vitenskapelig artikkel
  • Moradi, Ashkan; Zerka, Fadila; Bosma, Joeran S.; Sunoqrot, Mohammed R. S.; Abrahamsen, Bendik Skarre; Derya, Yakar. (2025) Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study. Radiology: Artificial Intelligence (RAI)
    Vitenskapelig artikkel
  • Saha, Anindo; Bosma, Joeran S; Twilt, Jasper J; Ginneken, Bram van; Bjartell, Anders; Padhani, Anwar R. (2024) Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. The Lancet Oncology
    Vitenskapelig artikkel
  • Meglic, Jakob; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs. (2023) Label-set impact on deep learning-based prostate segmentation on MRI. Insights into Imaging
    Vitenskapelig artikkel
  • 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)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Dewi, Dyah Ekashanti Octorina; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Sandsmark, Elise; Giskeødegård, Guro F.; Langørgen, Sverre. (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
    Vitenskapelig artikkel
  • Sørland, Kaia Ingerdatter; Sunoqrot, Mohammed R. S.; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Trimble, Christopher George. (2022) Pseudo-T2 mapping for normalization of T2-weighted prostate MRI. Magnetic Resonance Materials in Physics, Biology and Medicine
    Vitenskapelig artikkel
  • Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J.. (2022) Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges. European Radiology Experimental
    Vitenskapelig artikkel
  • Sunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Bathen, Tone Frost. (2021) The reproducibility of deep learning-based segmentation of the prostate gland and zones on t2-weighted mr images. Diagnostics (Basel)
    Vitenskapelig artikkel
  • Sunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Sandsmark, Elise; Nketiah, Gabriel Addio; Zavala-Romero, Olmo; Stoyanova, Radka. (2020) A quality control system for automated prostate segmentation on T2-weighted MRI. Diagnostics (Basel)
    Vitenskapelig artikkel
  • 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
    Vitenskapelig artikkel
  • Billdal, Daniel Chen; While, Peter Thomas; Selnæs, Kirsten Margrete; Sunoqrot, Mohammed; Langørgen, Sverre; Bertilsson, Helena. (2019) Relative enhanced diffusivity in prostate cancer: Protocol optimization and diagnostic potential. Journal of Magnetic Resonance Imaging
    Vitenskapelig artikkel

Rapport

  • Sunoqrot, Mohammed R. S.; Elschot, Mattijs; Bathen, Tone Frost; Selnæs, Kirsten Margrete; Martens, Harald Aagaard. (2021) Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Preprocessing, Segmentation and Quality Control. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doktorgradsavhandling

Formidling

2026

  • Vitenskapelig foredrag
    Segre, Rebecca; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Davik, Petter; Langørgen, Sverre; Elschot, Mattijs. (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 , Vienna 26.02.2025 - 02.03.2025

2025

  • Faglig foredrag
    Sunoqrot, Mohammed R. S.. (2025) Prospective Validation of an AI Software for Detecting Clinically Significant Prostate Cancer on Biparametric MRI (Lecture). MIRA Seminar , Trondheim 28.04.2025 -
  • Faglig foredrag
    Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio. (2025) PROVIZ - A Journey Through Innovation. påDRIV Foredragsserie , Trondheim 28.02.2025 -
  • Poster
    Sunoqrot, Mohammed R. S.; Segre, Rebecca; Sjøbakk, Torill Eidhammer; Nketiah, Gabriel Addio; Davik, Petter; Langørgen, Sverre. (2025) Preliminary Results of Prospective Clinical Study Evaluating Machine Learning Software forDetecting Significant Prostate Cancer on bpMRI. 2025 ISMRM & ISMRT Annual Meeting & Exhibition , Honolulu, Hawaiʻi, USA 10.05.2025 - 15.05.2025
  • Poster
    Bozorgpana, Selma; Indri, Desiati; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Giskeødegård, Guro F.; Tessem, May-Britt. (2025) Integrating radiomic features from bpMRI with clinical variables for enhanced prediction of prostate cancer recurrence. The ECR (European Congress of Radiology) 2025 , Vienna 26.02.2025 - 02.03.2025

2024

  • Poster
    Segre, 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 , Singapore 04.05.2024 - 09.05.2024
  • Faglig foredrag
    Sunoqrot, Mohammed R. S.. (2024) AI for Prostate Cancer: Insights from the PROVIZ Study. MAGNETOMforum 2024 , Ålesund 23.09.2024 - 25.09.2024
  • Faglig foredrag
    Sunoqrot, Mohammed R. S.. (2024) A personal journey through innovation in academia. 8th conference of Digital Life Norway Research School , Hurdal 14.10.2024 - 16.10.2024

2023

  • Poster
    Patsanis, 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. 2023 ISMRM & ISMRT , Toronto 03.06.2023 - 08.06.2023
  • Poster
    Segre, 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 03.06.2023 - 08.06.2023
  • Poster
    Meglic, Jakob; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs. (2023) Impact of label-set on the performance of the deep learning-based segmentation of the prostate gland and zones on T2-weighted MR images. 2023 ISMRM & ISMRT Annual Meeting & Exhibition , Toronto 03.06.2023 - 08.06.2023
  • Faglig foredrag
    Sunoqrot, Mohammed R. S.. (2023) From Research to Reality: A Look at the Challenges & Practicalities of Deploying AI Radiology in Clinical Practice. MAGNETOMforum , Kristiansand 17.04.2023 - 19.04.2023

2022

  • Poster
    Patsanis, 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. Autumn Research School in Artificial Intelligence Methods in Medical Imaging 2022 , Bergen 14.09.2022 - 16.09.2022
  • Poster
    Dewi, Dyah Ekashanti Octorina; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Maria Helena. (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 , London 05.06.2022 - 12.06.2022
  • Poster
    Zerka, 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 07.05.2022 - 12.05.2022
  • Poster
    Sunoqrot, 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. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting , London 07.05.2022 - 12.05.2022

2021

  • Poster
    Patsanis, 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. MMIV Conference 2021 , Bergen 09.12.2021 - 10.12.2021
  • Vitenskapelig foredrag
    Sunoqrot, Mohammed R. S.. (2021) Normalization, Segmentation, and Quality Control in Radiomics. IEEE EMBS Indonesia Webinar "Introduction to Radiomics" , Virtual 18.02.2021 - 18.02.2021
  • Vitenskapelig foredrag
    Sunoqrot, Mohammed R. S.. (2021) Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI. Idletechs AS learning session , Virtual 16.04.2021 -
  • Poster
    Sunoqrot, Mohammed R. S.; Selnæs, Kirsten Margrete; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena; Bathen, Tone Frost. (2021) The repeatability of deep learning based segmentation of the prostate, peripheral and transition zones on T2-weighted MR images. 2021 ISMRM Annual Meeting & Exhibition , Virtual 15.05.2021 - 20.05.2021
  • Poster
    Sunoqrot, 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. MMIV Conference 2021 , Bergen 09.12.2021 - 10.12.2021
  • Vitenskapelig foredrag
    Patsanis, 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. ISMRM & SMRT 2021 , Vitrual Conference 15.05.2021 - 20.05.2021
  • Poster
    Dewi, Dyah Ekashanti Octorina; Sunoqrot, Mohammed R. S.; Nketiah, Gabriel Addio; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena. (2021) Repeatability of Radiomic Features in T2-Weighted Prostate MRI: Impact of Pre-processing Configurations. 2021 ISMRM Annual Meeting & Exhibition , Virtual 15.05.2021 - 20.05.2021
  • Poster
    Sørland, Kaia Ingerdatter; Sunoqrot, Mohammed R. S.; Goa, Pål Erik; Sandsmark, Elise; Langørgen, Sverre; Bertilsson, Helena. (2021) Automated reference tissue normalization of prostate T2-weighted MRI on a large, multicenter dataset. 2021 ISMRM Annual Meeting & Exhibition 15.05.2021 - 20.05.2021
  • Poster
    Sørland, Kaia Ingerdatter; Goa, Pål Erik; Selnæs, Kirsten Margrete; Sandsmark, Elise; Trimble, Christopher George; Sunoqrot, Mohammed R. S.. (2021) Pseudo-T2 mapping of T2-weighted MRI of the prostate: Comparison to gold standard. 2021 ISMRM Annual Meeting & Exhibition 15.05.2021 - 20.05.2021

2020

  • Poster
    Sunoqrot, Mohammed R. S.; Kucharczak, Sandra; Grajek, Magdalena; Selnæs, Kirsten Margrete; Bathen, Tone Frost; Elschot, Mattijs. (2020) The repeatability of deep learning-based segmentation of the prostate on T2-weighted MR images. 2020 ISMRM & SMRT VIRTUAL CONFERENCE , VIRTUAL 08.08.2020 - 14.08.2020

2019

  • Poster
    Sunoqrot, Mohammed; Selnæs, Kirsten Margrete; Zavala-Romero, Olmo; Stoyanova, Radka; Bathen, Tone Frost; Elschot, Mattijs. (2019) A quality control system for automated prostate segmentation on T2-weighted MRI. the annual Biotechnology Research and Innovation (DigitalLife 2019) conference , Tromsø 05.09.2019 - 06.09.2019
  • Poster
    Elschot, 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 , Montréal 11.05.2019 - 16.05.2019
  • Poster
    Sunoqrot, Mohammed; Selnæs, Kirsten Margrete; Zavala-Romero, Olmo; Stoyanova, Radka; Bathen, Tone Frost; Elschot, Mattijs. (2019) A quality control system for automated prostate segmentation on T2-weighted MRI. ISMRM 27th Annual Meeting , Montréal 11.05.2019 - 16.05.2019

2018

  • Poster
    Sunoqrot, Mohammed; Billdal, Daniel Chen; Selnæs, Kirsten Margrete; Elschot, Mattijs; Bathen, Tone Frost. (2018) The repeatability of fully automated atlas-based prostate segmentation on T2-weighted MR images. Joint Annual Meeting ISMRM-ESMRMB 2018 , Paris 16.06.2018 - 21.06.2018
  • Faglig foredrag
    Bathen, Tone Frost; Debik, Julia Barbara; Giskeødegård, Guro F.; Hill, Deborah Katherine; Jerome, Neil Peter; Sitter, Beathe. (2018) Magneter og medisin, RN-2018. Researchers Night; Ungdommens forskernatt , NTNU, Trondheim 28.09.2018 - 28.09.2018
  • Poster
    Sunoqrot, Mohammed; Selnæs, Kirsten Margrete; Bathen, Tone Frost; Elschot, Mattijs. (2018) A quality control system for automated prostate segmentation on T2-weighted MRI. ISMRM Nordic Chapter Meeting , Trondheim 25.10.2018 - 25.10.2018
  • Poster
    Billdal, Daniel Chen; Sunoqrot, Mohammed; Selnæs, Kirsten Margrete; While, Peter Thomas; Krüger-Stokke, Brage; Bertilsson, Helena. (2018) The diagnostic potential and repeatability of Relative Enhanced Diffusivity (RED) as a biomarker for prostate cancer. Joint Annual Meeting ISMRM-ESMRMB 2018 , Paris 16.06.2018 - 21.06.2018

2017

  • Faglig foredrag
    Giskeødegård, Guro F.; Bathen, Tone Frost; Sjøbakk, Torill Eidhammer; Grinde, Maria Tunset; Hill, Deborah Katherine; Madssen, Torfinn Støve. (2017) DE VERDIFULLE BILDENE. Forskningstorget 2017 , Trondheim 22.09.2017 - 23.09.2017

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