About Me

I am a dedicated researcher and data scientist with a PhD in medical technology and a background in biomedical engineering. My journey encompasses pioneering automated diagnostic methods for prostate cancer using MRI, complemented by expertise in machine and deep learning, data analysis, and innovation management. Navigating complexities, I've collaborated seamlessly across interdisciplinary teams, industry partners, and end users, resulting in patented technologies and adherence to stringent medical device regulations. My passion lies in harnessing data to drive advancements at the convergence of technology and healthcare. Join me in shaping the future of technology innovation.

Contact Details

Mohammed R. S. Sunoqrot
1.306B Fred Kavli-bygget, del 1 Øya
7030 Trondheim, Norway
(+47) 46632587
mohammed.sunoqrot@ntnu.no

Download Resume

Education

Ph.D. in Medical Technology

NTNU, Norway • August 2021

Thesis title: Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI:
Pre-processing, Segmentation and Quality Control.
Supervisors: Prof. Tone Frost Bathen and Assoc Prof. Mattijs Elschot.

M.Sc. in Biomedical Engineering

University of Dundee, UK • January 2016

Grade: Distinction.
Thesis title: Microultrasound scanning of Oesophogeal tissue.
Supervisors: Prof. Sandy Cochran and Assoc Prof. Ben F. Cox.

Work

Postdoctoral Researcher

NTNU, Norway • July 2022 - Present

In this multifaceted role, I develop advanced AI solutions for prostate cancer detection, design innovative clinical studies for AI diagnosis systems, and author crucial regulatory documents. I guide PhD's and master's students and collaborate on international projects, showcasing my leadership and commitment to advancing healthcare technology.

Innovation Project Manager

NTNU, Norway • January 2022 - Present

In this dynamic role, I investigated innovative AI solutions for prostate cancer diagnosis. I increased technology readiness levels for a cutting-edge radiology AI product. Additionally, I conducted market analysis, initiated meetings with industry stakeholders and customers, and coordinated seamlessly with the technology transfer office and valued industry partners.

Data & Cloud Manager - Part-time

NTNU, Norway • May 2018 - July 2022

In this capacity, I am managing and organizing multiple HUNT cloud labs for the CIMORe Group. I skillfully coordinate various aspects of the labs, ensuring compliance, data privacy, technical proficiency, and knowledge dissemination. I am diligently monitoring and addressing any troubleshooting needs that arise during the labs' activities. My responsibilities encompass the collection, management, organization, and secure handling of MR image cohorts. Upholding strict data privacy and security measures is of paramount importance in my role. Moreover, I am closely monitoring image quality and upholding data integrity standards throughout the process.

Skills

  • AI (machine & deep learning)
  • Python
  • MATLAB
  • Data Analysis
  • Research
  • Innovation Management

Get Hosting.

Publications

My Publications can be found at cristin and at ORCiD

Selected Publications

  • Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges.

    European Radiology Experimental.6:35. Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J. (2022)

  • The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images.

    Diagnostics 11, no. 9: 1690. Sunoqrot, Mohammed R. S., Kirsten M. Selnæs, Elise Sandsmark, Sverre Langørgen, Helena Bertilsson, Tone F. Bathen, and Mattijs Elschot. 2021.

  • A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI.

    Diagnostics 10, no. 9: 714. Sunoqrot, Mohammed R. S., Kirsten M. Selnæs, Elise Sandsmark, Gabriel A. Nketiah, Olmo Zavala-Romero, Radka Stoyanova, Tone F. B athen, and Mattijs Elschot. 2020.

  • Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognitions.

    Magn Reson Mater Phy 34, 309–321. Sunoqrot, Mohammed R. S., Gabriel A. Nketiah, Kirsten M. Selnæs, Gabriel A. Nketiah, Tone F. Bathen, and Mattijs Elschot. 2020.
-->

Get In Touch.

Feel free to contact me for a potintial colaboration, job offer, or an inquiry.

Error boy
Your message was sent, thank you!