Mohammed R. S. Sunoqrot

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

Research

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

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