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Mohammed R. S. Sunoqrot

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Mohammed R. S. Sunoqrot

Researcher
Department of Circulation and Medical Imaging
Faculty of Medicine and Health Sciences

mohammed.sunoqrot@ntnu.no
+4746632587 1.306B Fred Kavli-bygget, del 1 Øya, Trondheim
ResearchGate Scopus Google Scholar CIMORe Group PROVIZ
About Research Publications Outreach

About

A postdoc researcher at the CIMORe Group with a background in Medical Technology and Biomedical Engineering. I have experience with medical image analysis, image processing, data management, radiomics, machine and deep learning.

My primary focus is on developing, refining, and testing Computer-Aided Diagnosis systems for prostate cancer using multiparametric MRI. These systems have the potential to significantly improve the treatment of prostate cancer in clinical practice.

I received my PhD in Medical Technology from the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, in August 2021. Prior to that, I completed an MSc in Biomedical Engineering with distinction from the University of Dundee in the UK in 2016, and a BSc in Biomedical Engineering from the German Jordanian University in Jordan in 2014.

Personal web page https://mohammedsunoqrot.github.io

Competencies

  • Deep Learning
  • Diagnosis, Computer-Assisted
  • MRI
  • Machine Learning
  • Medical Technology
  • Medical image analysis
  • Medical imaging
  • Prostate cancer
  • Radiomics
  • Segmentation

Research

  • 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.

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2024

  • Saha, Anindo; Bosma, Joeran S; Twilt, Jasper J; van Ginneken, Bram; 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
    Academic article

2023

  • 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
  • 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
    Academic article
  • 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
    Academic article

2022

  • 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
    Academic article
  • 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
    Academic article

2021

  • 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)
    Academic article
  • Sunoqrot, Mohammed R. S.. (2021) Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Pre-processing, Segmentation and Quality Control. NTNU Grafisk senter
    Doctoral dissertation

2020

  • 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
  • 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)
    Academic article

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
    Academic article

Journal publications

  • Saha, Anindo; Bosma, Joeran S; Twilt, Jasper J; van Ginneken, Bram; 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
    Academic article
  • 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
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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)
    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
  • 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)
    Academic article
  • 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
    Academic article

Report

  • Sunoqrot, Mohammed R. S.. (2021) Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Pre-processing, Segmentation and Quality Control. NTNU Grafisk senter
    Doctoral dissertation

Outreach

2024

  • Popular scientific lecture
    Sunoqrot, Mohammed R. S.. (2024) AI for Prostate Cancer: Insights from the PROVIZ Study. Siemens Healthineers MAGNETOMforum 2024 , Ålesund 2024-09-23 - 2024-09-25
  • Lecture
    Sunoqrot, Mohammed R. S.. (2024) A personal journey through innovation in academia. Digital Life Norway Research School 8th conference of Digital Life Norway Research School , Hurdal 2024-10-14 - 2024-10-16
  • 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 2024-05-04 - 2024-05-09

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. nternational Society for Magnetic Resonance in Medicine 2023 ISMRM & ISMRT Annual Meeting & Exhibition , Toronto 2023-06-03 - 2023-06-08
  • 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 2023-06-03 - 2023-06-08
  • 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. ISMRM 2023 ISMRM & ISMRT , Toronto 2023-06-03 - 2023-06-08
  • Popular scientific lecture
    Sunoqrot, Mohammed R. S.. (2023) From Research to Reality: A Look at the Challenges & Practicalities of Deploying AI Radiology in Clinical Practice . Siemens Healthineers MAGNETOMforum , Kristiansand 2023-04-17 - 2023-04-19

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. International Society for Magnetic Resonance in Medicine Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting , London 2022-05-07 - 2022-05-12
  • 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. 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
  • 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 2022-05-07 - 2022-05-12
  • 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 2022-06-05 - 2022-06-12

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. Mohn Medical Imaging and Visualization Centre - MMIV MMIV Conference 2021 , Bergen 2021-12-09 - 2021-12-10
  • 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. ISMRM 2021 ISMRM Annual Meeting & Exhibition , Virtual 2021-05-15 - 2021-05-20
  • 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 2021-05-15 - 2021-05-20
  • 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. ISMRM 2021 ISMRM Annual Meeting & Exhibition , Virtual 2021-05-15 - 2021-05-20
  • Academic lecture
    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. International Society for Magnetic Resonance in Medicine ISMRM & SMRT 2021 , Vitrual Conference 2021-05-15 - 2021-05-20
  • Academic lecture
    Sunoqrot, Mohammed R. S.. (2021) Normalization, Segmentation, and Quality Control in Radiomics. IEEE EMBS Indonesia IEEE EMBS Indonesia Webinar "Introduction to Radiomics" , Virtual 2021-02-18 - 2021-02-18
  • Academic lecture
    Sunoqrot, Mohammed R. S.. (2021) Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI. Idletechs AS Idletechs AS learning session , Virtual 2021-04-16 -
  • 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 2021-05-15 - 2021-05-20
  • 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. Mohn Medical Imaging and Visualization Centre (MMIV) MMIV Conference 2021 , Bergen 2021-12-09 - 2021-12-10

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. International Society for Magnetic Resonance in Medicine 2020 ISMRM & SMRT VIRTUAL CONFERENCE , VIRTUAL 2020-08-08 - 2020-08-14

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 . International Society for Magnetic Resonance in Medicine ISMRM 27th Annual Meeting , Montréal 2019-05-11 - 2019-05-16
  • 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 . International Society for Magnetic Resonance in Medicine (I) ISMRM 27th Annual Meeting , Montréal 2019-05-11 - 2019-05-16
  • 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. Digital Life Norway (DLN) the annual Biotechnology Research and Innovation (DigitalLife 2019) conference , Tromsø 2019-09-05 - 2019-09-06

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. International Society for Magnetic Resonance in Medicine Joint Annual Meeting ISMRM-ESMRMB 2018 , Paris 2018-06-16 - 2018-06-21
  • 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 ISMRM Nordic Chapter Meeting , Trondheim 2018-10-25 - 2018-10-25
  • Popular scientific lecture
    Bathen, Tone Frost; Debik, Julia Barbara; Giskeødegård, Guro F.; Hill, Deborah Katherine; Jerome, Neil Peter; Sitter, Beathe. (2018) Magneter og medisin, RN-2018. Forskningsdagene Researchers Night; Ungdommens forskernatt , NTNU, Trondheim 2018-09-28 - 2018-09-28
  • 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. International Society for Magnetic Resonance in Medicine Joint Annual Meeting ISMRM-ESMRMB 2018 , Paris 2018-06-16 - 2018-06-21

2017

  • Popular scientific lecture
    Giskeødegård, Guro F.; Bathen, Tone Frost; Sjøbakk, Torill Eidhammer; Grinde, Maria Tunset; Hill, Deborah Katherine; Madssen, Torfinn Støve. (2017) DE VERDIFULLE BILDENE. NTNU, Forskningsdagene Forskningstorget 2017 , Trondheim 2017-09-22 - 2017-09-23

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