Vanessa Murad | Medical Imaging | Best Researcher Award

Dr. Vanessa Murad | Medical Imaging | Best Researcher Award

Assistant Professor | University Health Network | Canada

Dr. Vanessa Murad is a clinical researcher at the University Health Network in Toronto, Canada, recognized for her growing contributions to evidence-based clinical science and multidisciplinary healthcare research. With a portfolio of 33 publications and 68 citations, she has developed an emerging yet impactful scholarly presence supported by extensive collaboration with more than 70 co-authors across diverse clinical domains. Dr. Murad’s work reflects a commitment to advancing diagnostic precision, improving therapeutic approaches, and refining models of patient care through methodologically sound and clinically relevant investigations. Her h-index of 5 highlights steady scholarly influence and the increasing visibility of her contributions within the research community. Operating within one of Canada’s leading academic health science centers, she actively bridges clinical practice and research, supporting the translation of new insights into improved patient outcomes. Dr. Murad’s collaborative research engagements underscore her integration into global networks focused on innovation, clinical excellence, and interdisciplinary problem-solving. As her publication record continues to expand, she remains dedicated to generating knowledge that enhances clinical decision-making, informs healthcare policy, and addresses the evolving challenges faced by healthcare systems worldwide.

Featured Pubilcations

1. Varela Londoño, S. P., Chinchilla Salcedo, T., & Murad Gutiérrez, V. (2015). Prácticas de crianza en niños y niñas menores de seis años en Colombia. Zona Próxima, 193–215.
Cited by: 138

2. Murad, V., Kohan, A., Ortega, C., Prica, A., Veit-Haibach, P., & Metser, U. (2024). Role of FDG PET/CT in patients with lymphoma treated with chimeric antigen receptor T-cell therapy: Current concepts. American Journal of Roentgenology, 222(2), e2330301.
Cited by: 19

3. Mirshahvalad, S. A., Mesci, A., Murad, V., Kohan, A., Ortega, C., Veit-Haibach, P., … (2023). [18F]-FDG PET in anal canal cancer: A systematic review and meta-analysis. European Journal of Nuclear Medicine and Molecular Imaging, 51(1), 258–277.
Cited by: 15

4. Murad, V., Barragán, C., & Rivera, H. (2018). Ultrasound evaluation of the parathyroid glands. Revista Colombiana de Radiología, 29(1), 4861–4866.
Cited by: 14

5. Gutiérrez, V. M., & Enciso, J. A. R. (2018). Liver elastography: What it is, how it is done, and how it is interpreted. Radiología (English Edition), 60(3), 183–189.
Cited by: 12

Dr. Vanessa Murad advances precision oncology and molecular imaging through clinically driven research that enhances diagnostic accuracy and patient outcomes. Her work bridges scientific discovery with translational practice, strengthening evidence-based care for complex malignancies.

Yihua Zhu | Radiology | Best Researcher Award

Dr. Yihua Zhu | Radiology | Best Researcher Award

Specialist, University of California San Francisco, United States

A dedicated research specialist at the Bone Quality Research Lab within the Department of Radiology and Biomedical Imaging at UCSF, this individual focuses on the innovative application of advanced image processing and analysis techniques. Their expertise lies particularly in high-resolution peripheral quantitative computed tomography (HR-pQCT), dual-energy X-ray absorptiometry (DXA), and magnetic resonance imaging (MRI) for the comprehensive assessment of bone quality.

Profile

Orcid

Education 🎓

This individual earned a PhD in Oral and Craniofacial Sciences from the University of California San Francisco in June 2024, following a Master of Science in Medical Physics from the University of Pennsylvania obtained in December 2018. Their foundational education includes a Bachelor of Arts degree in Physics from the University of Southern California, completed in June 2016.

Experience 🧑‍🔬

Currently serving as a Specialist in Radiology at UCSF, this researcher contributes significantly to the Bone Quality Research Lab. Prior to this role, their doctoral research at UCSF involved pioneering work in optical imaging applications within dentistry. This included the development of a novel dual-wavelength short-wave infrared (SWIR) intraoral camera for the early detection of caries, a technology featured in several NIH-funded clinical studies. Furthermore, their experience extends to the utilization of optical coherence tomography (OCT) for monitoring the remineralization process in dental lesions and the application of machine learning methodologies to enhance the precision of fluorescence-guided intraoperative therapy.

Research Interests 🦴🦷

The primary research interests of this specialist revolve around the application of advanced imaging modalities for the assessment of bone quality and the early detection and monitoring of dental caries. This includes the development and implementation of innovative optical imaging techniques, such as short-wave infrared (SWIR) imaging and optical coherence tomography (OCT), and the utilization of sophisticated image processing and machine learning algorithms to extract meaningful clinical information from these imaging data. Their research bridges the fields of radiology, biomedical imaging, and dentistry, with a focus on translating advanced technologies into practical diagnostic and therapeutic tools.

Publications Top Note 📚

Optimal Wavelengths for Multispectral Short Wavelength Infrared Transillumination and Reflectance Imaging for Caries Detection. Diagnostics. 2025 Apr 18. Fried D, Zhu Y. This article likely investigates the most effective wavelengths within the short-wave infrared spectrum for detecting dental caries using both transillumination and reflectance imaging techniques.

In vitro Assessment of lesion activity using simultaneous time-resolved reflectance imaging at 1300 and 1950 nm. Lasers Med Sci. 2024 Aug 27;39(1):223. Wycoff S, Zhu Y, Fried D. PMID: 39191998. This study investigated the use of time-resolved reflectance imaging at two specific wavelengths to assess the activity of dental lesions in vitro.

Clinical SWIR and CP-OCT imaging of interproximal lesions. BMC Oral Health. 2024 Aug 17;24(1):959. Zhu Y, Le O, Xue J, Wycoff S, Fried D. PMID: 39153971; PMCID: PMC11330057. This research explored the clinical application of short-wave infrared (SWIR) and cross-polarization optical coherence tomography (CP-OCT) for imaging lesions located between teeth.

Short-Wavelength Infrared Imaging of Infected and Affected Dentin. Diagnostics (Basel). 2024 Mar 30;14(7). Ng M, Ho YC, Wycoff S, Zhu Y, Fried D. PMID: 38611657; PMCID: PMC11012186. This publication focused on the use of short-wavelength infrared imaging to differentiate between infected and affected dentin, a crucial aspect in caries management. Cited by: 1.

Diagnostic Performance of Multispectral SWIR Transillumination and Reflectance Imaging for Caries Detection. Diagnostics (Basel). 2023 Aug 31;13(17). Zhu Y, Ng C, Le O, Ho YC, Fried D. PMID: 37685362; PMCID: PMC10487234. This study evaluated the effectiveness of multispectral short-wave infrared transillumination and reflectance imaging techniques for the detection of dental caries. Cited by: 2.

Monitoring lesion activity on primary teeth with CP-OCT and SWIR reflectance imaging. Lasers Surg Med. 2023 Aug;55(6):601-609. Zhu Y, Kim J, Lin B, Fried D. PMID: 37172310. This study explored the use of cross-polarization optical coherence tomography (CP-OCT) and short-wave infrared (SWIR) reflectance imaging for monitoring the activity of lesions on primary teeth. Cited by: 1.

Measurement of the Depth of Lesions on Proximal Surfaces with SWIR Multispectral Transillumination and Reflectance Imaging. Diagnostics (Basel). 2022 Feb 26;12(3). Zhu Y, Fried D. PMID: 35328150; PMCID: PMC8947190. This research focused on using short-wave infrared multispectral transillumination and reflectance imaging to measure the depth of lesions on the surfaces between teeth. Cited by: 3.

Conclusion 🎯

This research specialist has demonstrated a strong commitment to advancing the field of biomedical imaging, particularly in the areas of bone quality assessment and dental caries detection. Their innovative work in developing and applying advanced optical imaging techniques, coupled with their expertise in image processing and analysis, holds significant potential for improving diagnostic capabilities and ultimately enhancing patient care in both radiology and dentistry.