Abdulmajeed Alotaibi | Radiological Sciences | Best Researcher Award

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Assist. Prof. Dr. Abdulmajeed Alotaibi | Radiological Sciences | Best Researcher Award

Research Head, KSAU-HS, Saudi Arabia

Dr. Abdulmajeed Alotaibi, Ph.D., is a passionate Assistant Professor of Radiologic Sciences with expertise in neuroimaging and MRI. Currently serving at King Saud Bin Abdulaziz University for Health Sciences, Dr. Alotaibi has a diverse clinical and research background from leading institutions, including the NHS in the United Kingdom and King Faisal Specialist Hospital. A dedicated academic and researcher, he contributes significantly to MRI innovations and the Saudi Commission for Health Specialties (SCFHS) as a scientific reviewer. πŸ“šπŸŒ

Publication Profile

Scopus

Education

Dr. Alotaibi earned his Ph.D. in Neuroimaging and MRI from the University of Nottingham, specializing in advanced imaging techniques. He holds an M.Sc. in Medical Imaging from Boston University, where he graduated with a 3.8 GPA, focusing on clinical and research pathways, and a B.Sc. in Radiological Sciences from Southern Illinois University, specializing in CT/MRI with a GPA of 3.7. πŸŽ“πŸ“ˆ

Experience

Currently, Dr. Alotaibi is an Assistant Professor at King Saud Bin Abdulaziz University for Health Sciences. He has held positions as an Honorary Contract Researcher at the UK National Health Services (NHS) and as an MRI Specialist at King Faisal Specialist Hospital and Research Center. Dr. Alotaibi also serves as a Scientific Reviewer and Item Writer for the Saudi Commission for Health Specialties, contributing to educational standards in radiologic sciences. πŸ₯πŸ“Š

Research Focus

Dr. Alotaibi’s research explores brain microstructure, imaging biomarkers, and MRI’s role in managing neurological disorders such as multiple sclerosis. His work involves advanced imaging techniques like diffusion tensor imaging and neurite orientation dispersion and density imaging, aiming to improve diagnostics and prognostic markers for clinical outcomes in neurodegenerative diseases. πŸ§ πŸ”¬

Awards & Honors

Throughout his career, Dr. Alotaibi has been honored with awards such as the William H. Oldendorf Award (2021) and SIU Honors Recognition. He was also part of the International Scholar Laureate Program and recently served as the chair of the scientific committee at the RSSA annual meeting in Riyadh (2023). πŸ†πŸŒŸ

Publication Highlights

Investigating Brain Microstructural Alterations in Type 1 and Type 2 Diabetes Using Diffusion Tensor Imaging: A Systematic Review, Brain Sciences, 2021. Cited by relevant studies in neuroimaging research.

Investigating Microstructural Changes in White Matter in Multiple Sclerosis: A Systematic Review and Meta-Analysis of Neurite Orientation Dispersion and Density Imaging, Brain Sciences, 2021. Cited as a reference in MS microstructure studies.

Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review, Diagnostics, 2020. Cited for advancements in imaging biomarkers.

Magnetic Resonance Imaging as a Prognostic Disability Marker in Clinically Isolated Syndrome and Multiple Sclerosis: A Systematic Review and Meta-Analysis, Diagnostics, 2021. Cited in studies on prognostic disability markers.

Longitudinal Clinical Study of Patients with Iron Rim Lesions in Multiple Sclerosis, Multiple Sclerosis Journal, 2022. Cited in research on longitudinal MS clinical studies.

Predictors of Long-term Disability in Multiple Sclerosis Patients Using Routine Magnetic Resonance Imaging Data: A 15-year Retrospective Study, The Neuroradiology Journal, 2022. Cited in MS disability prediction research.

Mersede Mokri | Bio Imaging | Best Researcher Award

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Mrs. Mersede Mokri | Bio Imaging | Best Researcher Award

Ph.D. at University of Montreal, Canada

Profile

Scopus

Short Bio

πŸ“š Mersede Mokri is a dedicated researcher currently pursuing a Ph.D. in Biomedical Engineering at the UniversitΓ© de MontrΓ©al, Canada. Her expertise lies in artificial intelligence, data science, and medical image analysis, with a focus on enhancing nuclear medicine imaging techniques. Mersede has a solid background in nuclear medicine, radiobiology, and radiation protection, backed by extensive experience in research and clinical practice. Her work emphasizes the integration of AI to optimize diagnostic processes and improve patient outcomes.

Education

πŸŽ“ Mersede Mokri’s educational journey is diverse and highly specialized in biomedical and nuclear medicine fields:

  • Doctor of Philosophy (Ph.D.) in Biomedical Engineering (2020 – Present), UniversitΓ© de MontrΓ©al, Canada. Her research focuses on AI, data science, and medical imaging, with a specific emphasis on myocardial PET imaging.
  • Master2 (M2) in Biomedical Engineering (2019 – 2020), UniversitΓ© de Paris, France. Focus on medical image analysis and radiopharmaceutical internal dosimetry.
  • Master of Science (MSc) in Radiobiology and Radiation Protection (2013 – 2017), Tehran University of Medical Sciences, Iran. Specialization in radiation dosimetry and Monte Carlo simulations.
  • Bachelor of Science (BSc) in Nuclear Medicine Technology (2009 – 2013), Tehran University of Medical Sciences, Iran. Concentrated on nuclear medicine imaging and radiation physics.

Experience

πŸ’Ό Mersede has gained hands-on experience both in clinical and research environments:

  • Nuclear Medicine Technologist (2013 – 2019), Dr. Shariati Hospital, Tehran University of Medical Sciences, Iran. She specialized in radiopharmaceutical preparation and patient imaging with PET/CT and SPECT/CT technologies.
  • Internship and Research Fellow in various nuclear medicine projects, including PET radiomics and dosimetry platforms, across leading institutes in France and Canada.
  • Teaching Assistant (2022-2023) at UniversitΓ© de MontrΓ©al, where she contributed to courses on dosimetry platforms and radiomics in nuclear medicine.

Research Interests

πŸ”¬ Mersede’s research focuses on advancing nuclear medicine through:

  • AI integration in medical image analysis, particularly for PET/CT imaging.
  • Internal radiation dosimetry and optimization techniques.
  • Deep learning applications in dynamic myocardial PET imaging for diagnostic accuracy improvement.
  • Use of Monte Carlo simulations in radiopharmaceuticals and radiation protection.

Awards

πŸ… Mersede has been recognized for her academic and research excellence with several awards, including:

  • 2024 Arbour Foundation Ph.D. Scholarship and Faculty of Medicine Scientific Outreach Grant from UniversitΓ© de MontrΓ©al.
  • 2023 Perseverance Scholarship and another Arbour Foundation Scholarship for her academic achievements.
  • 2nd place in the 2022 Pan-Canadian Innovation Think Tank Certification Program by Siemens Healthineers.
  • ERASMUS+ Scholarship in 2018 for research in France.

Publications Top Notes

πŸ“ Mersede Mokri has contributed to multiple impactful publications and conferences. Here are some of her key works:

Kaviani S, Mokri M, Cohalan C, Juneau D, Carrier JF. Quality Enhancement of Dynamic Brain PET Images via Unsupervised Learning. 2021, 13th Biomedical Engineering International Conference (BMEiCON). IEEE, doi: 10.1109/BMEiCON53485.2021.9745248.

Kaviani S, Sanaat A, Mokri M, Cohalan C, Carrier JF. Image Reconstruction using UNET-Transformer Network for Fast and Low-Dose PET Scans, Journal of Computerized Medical Imaging and Graphics, doi: https://doi.org/10.1016/j.compmedimag.2023.102315.

Mokri M, Safari M, Kaviani S, Juneau D, Cohalan C, Carrier JF. Deep Learning-Based Prediction of Later 13N-ammonia Myocardial PET Image Frames from Initial Frames. Journal Biomedical Signal Processing and Control (Accepted).

Kaviani S, Sanaat A, Mokri M, Zeidi H, Carrier JF. Partial Volume Correction and Denoising of Clinical and Phantom Brain PET Dataset, Using Transformers and Transfer Learning. Journal Biomedical Signal Processing and Control (Submitted).