Dr MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award
Dr.mansoureh baradaran, North Khorasan University of Medical Sciences, Iran
Dr. Mansoureh Baradaran is a board-certified radiologist in Iran, with extensive experience in diagnostic imaging and research collaborations. She holds expertise in conducting systematic reviews and meta-analyses in the radiology field, focusing on neurological, oncological, and radiomics studies. Dr. Baradaran has been involved in collaborative projects with prestigious institutions like UCLA, UCSD, and UAB, working on cutting-edge research in artificial intelligence applications in healthcare. Her clinical skills include professional reporting on a variety of imaging modalities, including whole-body MRI and CT scans, mammography, and ultrasound. Throughout her career, she has authored numerous research papers and book chapters in the field of radiology. Dr. Baradaran is passionate about integrating modern technologies like AI into medical imaging and improving diagnostic accuracy. She is an active member of international radiological societies, contributing to advancements in the global radiology community.
Professional profile
Evaluation of Mansoureh Baradaran, M.D. for the Research for Best Researcher Award
Mansoureh Baradaran, M.D., presents a remarkable profile in radiology research, with a strong international research background. She has participated in numerous collaborative research projects across prestigious institutions such as UCSD, UCLA, and UAB. Her focus on using artificial intelligence in radiology for predictive analysis, as well as her involvement in high-impact studies on topics like Alzheimer’s disease, COVID-19, and cancer, highlights her expertise in radiomics and systematic reviews. Furthermore, Dr. Baradaran has published extensively, with notable research papers in reputable journals, reflecting her capacity for high-quality scholarly output. Her presentations at international conferences like the Society of Interventional Radiology (SIR) 2023 also emphasize her active engagement with the global research community.
Education :
Dr. Mansoureh Baradaran completed her radiology residency at Mashhad University of Medical Sciences, Razavi Khorasan, Iran, between 2016 and 2020. She graduated with a GPA of 17.80/20 and conducted her thesis on the pathologic results of stereotactic core needle biopsy in patients suspicious for malignancy through microcalcifications in mammography. Prior to this, she earned her Doctor of Medicine (M.D.) degree from Birjand University of Medical Sciences, South Khorasan, Iran, in 2016, with a GPA of 18.50/20. Her medical thesis investigated serum lipid levels in patients with thalassemia major compared to the control group. Dr. Baradaran’s education has been rooted in rigorous clinical and research training, allowing her to develop extensive knowledge in radiology, diagnostic imaging, and related research fields. Her educational background reflects a strong commitment to both clinical excellence and research contributions in medical science.
Experience :
Dr. Mansoureh Baradaran currently practices as a radiologist at Dr. Mohajerzadeh Private Radiology Clinic in Bojnurd, Iran, and the Avan Advanced Private Medical Center in Mashhad, Iran. She specializes in performing and interpreting imaging modalities, including ultrasounds, MRI, CT scans, and mammography. Between 2020 and 2024, she worked at North Khorasan University of Medical Science’s hospitals, where she gained extensive experience in diagnostic imaging and reporting across various radiological fields. Dr. Baradaran has also been actively involved in international research collaborations, contributing to studies on artificial intelligence, radiomics, and neurological imaging. These collaborations include working with top institutions like UCLA, UCSD, and UAB on projects such as AI applications in hepatocellular carcinoma recurrence and diagnostic performance of MRI radiomics for Alzheimer’s disease. Her hands-on clinical work is complemented by her commitment to advancing radiological research and diagnostics.
Awards and Honors :
Dr. Mansoureh Baradaran has earned several prestigious accolades throughout her medical and academic career. She secured a double-digit rank in Iran’s highly competitive entrance exam for medical specialties in May 2016, a testament to her academic prowess. Additionally, she achieved national recognition with a high rank in Iran’s basic medical science exam in September 2011. Her exceptional academic performance during her radiology residency, with a GPA of 17.80/20, further highlights her commitment to excellence in her field. Dr. Baradaran’s achievements are not limited to exams; she has co-authored numerous research papers and book chapters, contributing significantly to medical science. Her work in artificial intelligence applications in radiology and diagnostic imaging has been recognized at international conferences such as the Society of Interventional Radiology (SIR) 2023. These awards and honors reflect her dedication to both clinical practice and innovative medical research.
Research Focus :
Dr. Mansoureh Baradaran’s research is focused on diagnostic radiology, radiomics, and the integration of artificial intelligence (AI) in medical imaging. She has contributed to numerous systematic reviews and meta-analyses in areas such as Alzheimer’s disease, lung cancer, and neurological complications related to COVID-19. A significant portion of her research involves the use of radiomics for predictive modeling in diseases like non-small cell lung cancer and hepatocellular carcinoma. Her work aims to enhance diagnostic accuracy through the application of advanced imaging techniques and AI-driven technologies. Dr. Baradaran is particularly interested in how AI can improve the early detection of disease recurrence and optimize treatment outcomes. Additionally, her research on olfactory dysfunction related to COVID-19 has provided valuable insights into the long-term effects of the virus on neuroimaging. Her contributions to radiology extend beyond clinical applications, delving into the future of AI in healthcare diagnostics.
Publications Top Notes:
- Diagnostic performance of MRI radiomics for classification of Alzheimer’s disease, mild cognitive impairment, and normal subjects 🧠📊
- Prognostic value of CT scan-based radiomics in intracerebral hemorrhage patients 🩸📈
- Brain MRI findings in neurologically symptomatic COVID-19 patients 🦠🧠
- Legg-Calve-Perthes Disease: A comprehensive review of diagnosis, management, and current treatment options 🦴👩⚕️
- Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer 🫁📉
- Olfactory dysfunction in the COVID-19 era: An umbrella review focused on neuroimaging 👃🦠
- Pathologic results of stereotactic core needle biopsy in patients suspicious to microcalcification on mammography 🔬🩺
- Cystic teratoma of the oral cavity 👶👄
- Spontaneous rupture of accessory spleen 16 years after splenectomy 🩸🧬
- Spontaneous rupture of splenic artery aneurysm in a pregnant woman 🩸🤰