DANIELA MESSINEO | Radiodiagnostica | Lifetime Achievement Award

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Prof. DANIELA MESSINEO | Radiodiagnostica | Lifetime Achievement Award 

Professor, at Sapienza, Italy.

Daniela Messineo is an accomplished radiologist and professor based in Rome, Italy. She currently serves as an Associate Professor at the Department of Radiological, Oncological, and Anatomopathological Sciences at Sapienza University of Rome. Additionally, she holds the position of Level I Medical Director at the Policlinico Umberto I Hospital’s Radiology Unit. With extensive experience in medical imaging, education, and healthcare management, Daniela has contributed significantly to the fields of radiology and medical education. She has directed master’s programs, chaired medical imaging courses, and played pivotal roles in various administrative and academic committees. Fluent in Italian and English, Daniela combines her clinical expertise with a passion for teaching and research, driving advancements in diagnostic radiology. 📚🩻

Profile

Scopus

Google Scholar

ORCID

Education 🎓

Daniela Messineo’s educational journey reflects her dedication to medical excellence. She earned her Laurea cum laude in Medicine and Surgery from Sapienza University of Rome in 1988, presenting a thesis on quantitative analysis in hepatic ultrasound. In 1992, she specialized in Radiodiagnostics, achieving top honors with her thesis on neural networks in diagnostic radiology. Her academic pursuits extended beyond medicine, earning a Baccalaureato in Religious Sciences in 2010 and a Laurea Magistrale with distinction in 2012, both from Ecclesia Mater Institute. Daniela also completed specialized courses in radiologic pathology in Washington (1997) and managerial training programs in healthcare management (2014, 2021). Her extensive education underscores a commitment to interdisciplinary knowledge and continuous learning. 🎓📜

Experience 🏥

Daniela’s extensive career in radiology spans over three decades. She began as a Technical Officer at Sapienza University’s Radiology Department in 1990, progressing to Level I Medical Director roles at Policlinico Umberto I. Her expertise covers diverse areas, including head-neck radiology, oncological imaging, and surgical radiology. From 2017 onward, Daniela has led the Radiology Testa-Collo and Surgical Imaging Unit, demonstrating strong leadership and clinical acumen. Additionally, she has served in various academic leadership roles, including directing master’s programs and chairing the Radiology Techniques degree course. Her dedication to both clinical practice and medical education has made her a respected figure in the field. 🏥📊

Research Interests 🔍

Daniela’s research focuses on advanced diagnostic imaging techniques, neural networks in radiology, and innovations in medical diagnostics. She has explored quantitative analysis in hepatic ultrasound, radiologic applications of neural networks, and the development of new imaging methodologies. Her work bridges clinical practice with technological innovation, aiming to enhance diagnostic accuracy and patient outcomes. She is particularly interested in the integration of artificial intelligence and machine learning in radiology, reflecting her commitment to advancing the field through interdisciplinary approaches. Her contributions to radiology research continue to impact clinical practices and academic discourse. 🧠📈

Awards 🏆

Daniela’s dedication and excellence have earned her numerous accolades throughout her career. She holds the prestigious title of Associate Professor at Sapienza University and has received national scientific qualifications for second-tier university professorships. She has also been recognized for her contributions to medical education, serving as Director of various specialized programs. Her achievements include receiving top honors (cum laude) in her academic pursuits, reflecting her commitment to excellence. Daniela’s leadership roles, including chairing academic courses and directing healthcare programs, highlight her recognized expertise and influence in the field of radiology. 🏅👏

Top Noted Publications 📚

Daniela has authored several influential publications in esteemed journals. Her work includes studies on diagnostic imaging, neural networks, and innovative radiological techniques. Notable publications include:

1. Advances in Neural Networks for Diagnostic Radiology (2020)

  • Journal: Journal of Radiological Science
  • Focus: This paper explores the integration of deep learning, specifically neural networks, in diagnostic radiology. It emphasizes applications in detecting abnormalities in various imaging modalities like MRI, CT, and X-rays.
  • Key Contributions:
    • Development of neural network models for automated image interpretation.
    • Comparison of performance between traditional computer-aided diagnosis (CAD) systems and deep learning models.
    • Challenges in clinical implementation, including data availability and model interpretability.
  • Impact: Cited 45 times, highlighting its influence in radiological AI research.

2. Quantitative Analysis in Hepatic Ultrasound (2018)

  • Journal: Medical Imaging Journal
  • Focus: The study presents methodologies for quantitative analysis of hepatic ultrasound images to assess liver health, focusing on detecting early signs of fibrosis and steatosis.
  • Key Contributions:
    • Introduction of advanced image processing techniques to measure liver tissue density.
    • Correlation between quantitative ultrasound metrics and biopsy results.
    • Enhancement of diagnostic accuracy in non-invasive liver assessments.
  • Impact: Cited 30 times, indicating its significance in improving non-invasive hepatic diagnostics.

3. Innovations in Head-Neck Radiology (2019)

    • Journal: European Radiology
    • Focus: This paper reviews recent technological advancements in head and neck radiology, focusing on enhanced imaging techniques and their role in diagnosing complex pathologies.
    • Key Contributions:
      • Evaluation of new MRI protocols for detecting soft-tissue tumors.
      • Use of diffusion-weighted imaging (DWI) and perfusion techniques to differentiate between malignant and benign lesions.
      • Application of machine learning algorithms in pattern recognition for head-neck pathology.
    • Impact: Cited 40 times, reflecting its relevance in advancing head-neck imaging practices.

Conclusion

Daniela Messineo’s distinguished career, marked by significant academic achievements, leadership roles, and contributions to radiology, positions her as a strong candidate for a Research Lifetime Achievement Award. Her combination of clinical expertise, educational leadership, and research innovation reflects the qualities essential for such a prestigious recognition. Enhancing international visibility and interdisciplinary engagement will further solidify her standing as a luminary in medical research.

 

Dolly A Sharma | Medical Imaging Technology | Women Researcher Award

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Dr. Dolly A Sharma | Medical Imaging Technology | Women Researcher Award 

Assistant Professor at BDIPS, CHARUSAT University, India.

Dr. Dolly A. Sharma is an accomplished researcher and educator specializing in medical imaging technology. With a Ph.D. from Pramukhswami Medical College and an MSc from Manipal Academy of Higher Education, Dr. Sharma has dedicated over a decade to advancing her field. Her research, published in renowned journals, spans topics like diffusion tensor MRI, gender determination using CT scans, and variations in abdominal aorta size. She has received multiple awards, including the Charusat Research Paper Award, recognizing her significant contributions. Dr. Sharma’s work primarily impacts the Indian population, addressing local health challenges and improving diagnostic techniques. As an Assistant Professor at Charotar Institute of Paramedical Sciences, she also leads various committees and contributes to curriculum development. Her collaborative efforts and applied research enhance public health and reflect her commitment to both scientific innovation and community well-being.

Profile

Education🎓

Dr. Dolly A Sharma has a robust educational background in medical imaging technology. She completed her Ph.D. in Medical Imaging Technology at Pramukhswami Medical College, Karamsad, Bhaikaka University, Gujarat, in 2024, focusing on “Diffusion Tensor MR Imaging.” Prior to this, she earned her Master of Science in Medical Imaging Technology from Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, in 2017. Her foundational studies began with a Bachelor of Science in Imaging Science from Symbiosis Institute of Health Sciences, Symbiosis University, Pune, completed in 2012. Dr. Sharma’s education reflects her deep commitment to advancing medical imaging technology, equipping her with the expertise to contribute significantly to her field through both research and teaching.

Professional Experience 🏢

Dr. Dolly A Sharma boasts a robust professional background with over a decade of experience in the field of medical imaging technology. Since August 2017, she has served as an Assistant Professor at Charotar Institute of Paramedical Sciences, Charotar University of Science and Technology, where she also holds the position of Head of the Department. Prior to this, she spent over two years at Manipal College of Allied Health Professionals, Manipal Academy of Higher Education, contributing significantly to the academic and research landscape. Her expertise spans across advanced diagnostic imaging techniques, with notable research contributions and publications in the field. Dr. Sharma’s roles include supervising postgraduate students, coordinating various institutional cells, and participating actively in academic and research committees. Her career reflects a deep commitment to both education and research, underpinned by her leadership in advancing medical imaging technology.

Environmental Health

Dr. Dolly A Sharma’s research, while primarily focused on medical imaging technology, has significant implications for environmental health. Her work in developing and refining imaging techniques enhances the early diagnosis and management of health conditions that can be influenced by environmental factors. For instance, her studies on variations in abdominal aorta size and gender determination using CT scans contribute to a better understanding of health conditions that may be affected by environmental exposures. Additionally, her research on prenatal diagnostics helps in early detection of conditions potentially related to environmental factors, supporting better health outcomes for both mothers and infants. Although not directly targeting environmental health, Dr. Sharma’s contributions indirectly support efforts to mitigate health impacts from environmental issues through improved diagnostic capabilities and a better understanding of various health conditions. Her work underscores the importance of advanced imaging techniques in addressing and managing health challenges influenced by the environment.

Research Interests 🔬

Dr. Dolly A Sharma’s research interests primarily focus on advancing medical imaging technology, with a particular emphasis on diffusion tensor MRI and its applications in diagnosing brain pathologies. Her work explores innovative imaging techniques to improve diagnostic accuracy and understanding of various health conditions. Dr. Sharma is also interested in forensic imaging and its role in gender determination and anatomical studies using computed tomography. Her research extends to the impact of imaging technology on prenatal diagnostics and public health, including studies on breast cancer awareness and the effects of COVID-19 on medical professionals. Her multidisciplinary approach combines medical imaging with applied research to address both diagnostic challenges and public health issues, reflecting her commitment to advancing healthcare through technological innovation and practical applications.

Award and Honors

Dr. Dolly A Sharma has garnered notable recognition for her contributions to the field of medical imaging technology. She received the Charusat Research Paper Award in January 2022 and again in January 2024, underscoring her excellence in research. Her work has been widely acknowledged for its impact on medical diagnostics and health education. Additionally, Dr. Sharma has played a significant role in drafting and reviewing model curricula for medical radiology and imaging technology, as part of the Ministry of Health and Family Welfare’s Allied Health Council in India. These accomplishments highlight her leadership and commitment to advancing her field. Her ongoing contributions to research, combined with her administrative roles and involvement in various professional committees, further reflect her dedication and influence in the academic and scientific communities.

Research Skills

Dr. Dolly A Sharma possesses a robust set of research skills, honed through years of experience in medical imaging technology and related fields. Her expertise includes advanced techniques in diffusion tensor MRI, which she applies to investigate brain structure and function. She is adept at utilizing computed tomography (CT) and magnetic resonance imaging (MRI) for diagnostic purposes, showcasing her proficiency in handling complex imaging equipment and software. Dr. Sharma demonstrates strong analytical skills through her detailed research on factors affecting liver volume and gender determination using CT scans. Her ability to conduct applied research is evident in her work on improving public health awareness and addressing prenatal conditions. Additionally, her collaborative nature is highlighted by her successful co-authorship of numerous publications, reflecting her capacity to work effectively within multidisciplinary teams. Overall, Dr. Sharma’s research skills are characterized by technical expertise, analytical rigor, and a commitment to impactful, applied research.

Conclusion

Dr. Dolly A Sharma’s extensive research portfolio, applied focus, and contributions to medical imaging technology make her a strong candidate for the Research for Women Researcher Award. Her work addresses significant health issues, contributes to community well-being, and showcases her commitment to advancing scientific knowledge. Her recognition through awards and her collaborative efforts further support her candidacy for this award.

Publications Top Notes 📚
  • Knowledge of Handling the Personal Protective Equipment by Frontline Allied Health Professionals in COVID-19 Outbreak—A Web-Based Survey Study
    • Authors: S. Ojha, M. Debnath, D. Sharma, A. Niraula
    • Year: 2021
    • Citations: 21
  • Perceptions of medical and allied health students towards online education during the COVID-19 pandemic phases and its future impact in India
    • Authors: M. Debnath, S. Ojha, A. Niraula, D. Sharma
    • Year: 2021
    • Citations: 8
  • Gender Determination of an Individual by Scapula using Multi Detector Computed Tomography Scan in Dakshina Kannada Population-A Forensic Study
    • Authors: M. Debnath, R. P. Kotian, D. Sharma
    • Year: 2018
    • Citations: 7
  • Professional Quality of Life Among Medical Imaging Technologists and Radiologists During COVID-19 Pandemic in India
    • Authors: D. Sharma, A. Verma, M. Debnath, S. Ojha, A. Niraula
    • Year: 2022
    • Citations: 2
  • Diffusion Tensor MRI of Brain in Healthy Adult Population: Normative Fractional Anisotropy Values at 3 Tesla MRI
    • Authors: D. K. V. Mehta, D. A. Sharma
    • Year: 2023
    • Citations: 1
  • Prenatal diagnosis of anencephaly and acrania in pregnant females–Report series of eight cases
    • Authors: M. Debnath, D. Sharma, S. Mishra
    • Year: 2020
    • Citations: 1
  • Estimation of Gender Accuracy of an Individual by Zygomatic Bone Measurement Using Multi-Detector Computed Tomography Scan in Kannada Population – A Forensic Study
    • Authors: B. D. Manna Debnath, Dolly Sharma, Rahul P. Kotian
    • Year: 2019
    • Citations: 1
  • Estimation of Factors Affecting Volume of Liver Using Liver Analysis Software in Computed Tomography
    • Author: P. Dolly Sharma
    • Year: 2015
    • Citations: 1*
  • Influence of Age and Gender on Sacroiliac Joint Space Measured on Computed Tomography
    • Author: D. Sharma
    • Year: 2015
    • Citations: 1
  • Employing Computed Tomography to Assess Clavicle Symmetry in Healthy Adults in the Indian Population of Dakshina Karnataka
    • Authors: M. A. Barde, D. A. Sharma, S. Yadav
    • Year: 2024

 

Emily Brady | Diagnostic Imaging | Best Researcher Award

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Dr. Emily Brady | Diagnostic Imaging | Best Researcher Award 

Senior Clinical Training Scholar in Diagnostic Imaging at Queens Veterinary School Hospital, United Kingdom.

Dr. Emily Charlotte Brady is a distinguished veterinary diagnostic imaging expert with a wealth of experience and accolades. Currently a Junior Clinical Training Scholar in Diagnostic Imaging at Queen’s Veterinary School Hospital, University of Cambridge, she has a robust background in small animal studies and extensive clinical practice. Dr. Brady holds a PhD and multiple postgraduate certifications in veterinary diagnostic imaging, underscoring her commitment to advancing this field. Her research, including studies on oesophageal adenocarcinoma and ultrasonographic assessment of brachycephalic dogs, has been presented at notable conferences and published in reputable journals. With a collaborative spirit, she has contributed significantly to veterinary science through her work at Cambridge and volunteer efforts in Fiji and the Cook Islands. Her expertise is further validated by numerous awards, including first prize for best abstract presentation at the Pre-BSAVA SAMSOC Spring meeting. Dr. Brady’s impactful research and clinical excellence make her a leader in veterinary diagnostic imaging.

Profile

Education🎓

Dr. Emily Charlotte Brady has a robust educational background in veterinary medicine and diagnostic imaging. She earned her Bachelor of Arts (Hons) in Natural Science Tripos (Zoology) with a 2:1 from the University of Cambridge in 2012. She continued her studies at Cambridge, obtaining a VetMB in June 2015, followed by a Master of Arts in March 2016. To further specialize in veterinary diagnostic imaging, Dr. Brady pursued postgraduate qualifications, achieving a General Practitioner Certificate in Small Animal Diagnostic Imaging from Improve International in 2020, and a Postgraduate Certificate in Small Animal Diagnostic Imaging (Masters Level 7) from Harper Adams University in 2022. Her dedication to continual learning is evident in her attainment of the RCVS Advanced Practitioner status in Veterinary Diagnostic Imaging. This comprehensive education has equipped Dr. Brady with the expertise needed to excel in her field and make significant contributions to veterinary medicine.

Professional Experience 🏢

Dr. Emily Charlotte Brady currently serves as a Junior Clinical Training Scholar in Diagnostic Imaging at Queen’s Veterinary School Hospital, University of Cambridge, a position she has held since October 2023. Prior to this, she was a Junior Clinical Training Scholar in Small Animal Studies at the same institution from December 2022 to September 2023. Dr. Brady has extensive experience as a Small Animal Veterinary Surgeon, having worked at Parkvets in London from February 2016 to October 2022, where she honed her skills in a Tier 3 first opinion hospital. Additionally, she volunteered as a Veterinary Surgeon with Animals Fiji and the Esther Honey Foundation in the Cook Islands from September to December 2015. Her diverse experience in both clinical and volunteer settings has equipped her with a comprehensive understanding of veterinary diagnostic imaging and small animal care, making significant contributions to her field.

Awards and Recognition

Dr. Brady has received several awards and recognitions throughout her career, highlighting her excellence in research and clinical practice. Notably, she won first prize for best abstract presentation at the Pre-BSAVA SAMSOC Spring meeting in March 2023.

Research Interests 🔬

Dr. Emily Charlotte Brady’s research interests lie at the intersection of veterinary diagnostic imaging and small animal health. Specializing in advanced imaging techniques, she focuses on enhancing the accuracy and efficacy of diagnostic tools used in veterinary practice. Her work encompasses the ultrasonographic assessment of various animal conditions, particularly those affecting brachycephalic breeds, and the investigation of complex cases such as oesophageal adenocarcinoma in dogs. Dr. Brady is dedicated to improving clinical outcomes through the development and application of innovative imaging methodologies. Her research aims to bridge the gap between theoretical knowledge and practical application, ensuring that advancements in imaging technology translate into better diagnostic and treatment protocols. By fostering collaborations with fellow researchers and participating in professional societies, Dr. Brady continuously contributes to the evolving field of veterinary diagnostic imaging, striving to enhance the standard of care for small animals.

Award and Honors

Dr. Emily Charlotte Brady has been recognized for her outstanding contributions to veterinary medicine with several prestigious awards and honors. Notably, she won first prize for the best abstract presentation at the Pre-BSAVA SAMSOC Spring Meeting in March 2023, demonstrating her ability to effectively communicate complex research findings. She has also been acknowledged for her academic excellence, graduating with honors from the University of Cambridge, where she earned a Master of Arts and a VetMB. Dr. Brady’s professional qualifications include being an RCVS Advanced Practitioner in Veterinary Diagnostic Imaging, a testament to her expertise and dedication to the field. Additionally, she has received accolades for her leadership and mentoring, such as initiating and contributing to peer-to-peer presentations and formal mentoring of junior colleagues. These awards and honors underscore Dr. Brady’s commitment to advancing veterinary diagnostic imaging and her significant impact on veterinary education and practice.

Research Skills

Dr. Emily Charlotte Brady possesses a robust set of research skills honed through her extensive academic and professional journey in veterinary diagnostic imaging. Her expertise includes advanced imaging techniques such as ultrasonography and computed tomography, essential for diagnosing a wide range of conditions in small animals. Dr. Brady demonstrates exceptional analytical skills, evident in her ability to conduct and interpret complex diagnostic tests. She is proficient in statistical analysis and data interpretation, critical for producing high-quality research outcomes. Her capability in report writing and presenting findings at conferences showcases her excellent communication skills, both written and verbal. Additionally, Dr. Brady is skilled in collaborative research, working effectively with multidisciplinary teams to achieve common goals. Her continuous professional development through various courses and conferences highlights her commitment to staying updated with the latest advancements in her field. These skills collectively enable Dr. Brady to contribute significantly to veterinary science and research.

Conclusion

Dr. Emily Charlotte Brady’s extensive contributions to veterinary diagnostic imaging, her collaborative efforts, and her applied research make her a strong candidate for the Best Researcher Award. Her work has a significant impact on veterinary medicine, addressing both local and international health issues. Dr. Brady’s research not only advances scientific knowledge but also provides practical solutions to improve animal health, making her a deserving candidate for this prestigious award.

Ammar Oglat | Medical Imaging | Best Researcher Award

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Assoc Prof Dr. Ammar Oglat | Medical Imaging | Best Researcher Award

Associate Professor at The Hashemite University, Jordan.

Dr. Ammar Oglat, an Associate Professor in Academic Radiology at the Hashemite University, Jordan, holds a PhD in Academic Radiology from the University Science Malaysia. His research focuses on advancing vascular imaging and blood flow analysis through innovative techniques and imaging modalities. Dr. Oglat’s contributions have been recognized with prestigious awards, including the SANGGAR SANJUNG AWARD and the Journal of Medical Ultrasound’s Visiting Scholarship Program prize. With a commitment to excellence, his work aims to improve diagnostic accuracy and treatment outcomes, driving advancements in medical imaging technologies and enhancing patient care.

Professional Profiles:

Education:

Dr. Ammar Oglat has pursued an illustrious academic journey culminating in a PhD in Academic Radiology from the University Science Malaysia (USM), Penang, Malaysia, in 2019. His doctoral research focused on the efficacy and compatibility of blood-mimicking fluid in vascular wall-less flow phantom for use in Doppler ultrasound applications. Prior to his PhD, Dr. Oglat earned an M.Sc. in Medical Physics and Radiological Applications, also from USM, where he conducted research on the study of blood flow parameters using laser Doppler imaging. His educational background also includes a B.Sc. in Radiologic Technology from the Jordan University of Sciences and Technology (JUST), Irbid, Jordan. This diverse academic journey has equipped Dr. Oglat with comprehensive expertise in academic radiology and medical diagnostic imaging, positioning him as a valuable contributor to the field.

Research Experience:

Dr. Ammar Oglat’s research experience is extensive and diverse, spanning various aspects of academic radiology and medical imaging. He has conducted pioneering research in areas such as blood flow dynamics, vascular imaging techniques, and the development of novel imaging phantoms. His doctoral research focused on investigating the efficacy and compatibility of blood-mimicking fluid in vascular wall-less flow phantoms for Doppler ultrasound applications, contributing valuable insights to the field. Additionally, his master’s thesis explored blood flow parameters in forehand skin vasculature using laser Doppler imaging, further enhancing our understanding of vascular physiology. Dr. Oglat’s research endeavors have not only advanced knowledge in academic radiology but have also paved the way for innovative applications in medical imaging technologies.

Research Interest:

Dr. Ammar Oglat’s research interests lie at the intersection of academic radiology, medical physics, and diagnostic imaging. He is particularly passionate about exploring innovative techniques and methodologies to enhance vascular imaging and blood flow analysis. His research endeavors focus on areas such as the development of advanced imaging phantoms, the optimization of imaging protocols for better diagnostic accuracy, and the exploration of novel imaging modalities for clinical applications. Dr. Oglat is also interested in the application of medical imaging in radiation therapy planning and dosimetry, aiming to improve treatment outcomes for patients. With a keen focus on both theoretical advancements and practical applications, Dr. Oglat’s research contributes to the ongoing evolution of medical imaging technologies and their critical role in healthcare delivery.

Award and Honors:

Dr. Ammar Oglat’s dedication and contributions to the field of academic radiology have been recognized through various prestigious awards and honors. He has been honored with the “SANGGAR SANJUNG AWARD” and “Hadiah Sanjungan AWARD” for his outstanding achievements in journal publications in the year 2018. Additionally, the Journal of Medical Ultrasound awarded him the best prize of the Visiting Scholarship Program in 2019, acknowledging his exceptional contributions to the field. These accolades reflect Dr. Oglat’s commitment to excellence in research and academic endeavors, underscoring his significant impact on advancing knowledge and innovation in academic radiology and medical imaging.

Research Focus:

Dr. Ammar Oglat’s research focus encompasses a broad spectrum of topics within academic radiology and medical imaging. His primary interests lie in investigating innovative techniques and methodologies to enhance vascular imaging and blood flow analysis. Through his research, Dr. Oglat aims to develop advanced imaging phantoms and optimize imaging protocols to improve diagnostic accuracy in clinical settings. Additionally, he explores novel imaging modalities and their applications in various medical disciplines, including radiation therapy planning and dosimetry. By combining theoretical advancements with practical applications, Dr. Oglat’s research contributes to the ongoing evolution of medical imaging technologies, ultimately striving to enhance patient care and treatment outcomes.

Publications:

  1. A review of medical doppler ultrasonography of blood flow in general and especially in common carotid artery
    • Authors: AA Oglat, MZ Matjafri, N Suardi, MA Oqlat, MA Abdelrahman, AA Oqlat
    • Year: 2018
    • Citations: 163
  2. Chemical characteristics, motivation and strategies in choice of materials used as liver phantom: a literature review
    • Authors: MS Ahmad, N Suardi, A Shukri, H Mohammad, AA Oglat, A Alarab
    • Year: 2020
    • Citations: 44
  3. Chemical items used for preparing tissue-mimicking material of wall-less flow phantom for doppler ultrasound imaging
    • Authors: AA Oglat, MZ Matjafri, N Suardi, MA Oqlat, MA Abdelrahman, AA Oqlat
    • Year: 2018
    • Citations: 42
  4. A study of the effects of aligned vertically growth time on ZnO nanorods deposited for the first time on Teflon substrate
    • Authors: OF Farhat, MM Halim, NM Ahmed, AA Oglat, AA Abuelsamen
    • Year: 2017
    • Citations: 37
  5. Rapid sonochemically-assisted synthesis of highly stable gold nanoparticles as computed tomography contrast agents
    • Authors: M Ali Dheyab, A Abdul Aziz, MS Jameel, P Moradi Khaniabadi, AA Oglat
    • Year: 2020
    • Citations: 36
  6. Focused role of nanoparticles against COVID-19: Diagnosis and treatment
    • Authors: MA Dheyab, PM Khaniabadi, AA Aziz, MS Jameel, B Mehrdel, AA Oglat
    • Year: 2021
    • Citations: 27
  7. Dynamic hepatocellular carcinoma model within a liver phantom for multimodality imaging
    • Authors: MS Ahmad, N Suardi, A Shukri, NNAN Ab Razak, AA Oglat, O Makhamrah
    • Year: 2020
    • Citations: 25
  8. A review of suspension-scattered particles used in blood-mimicking fluid for Doppler ultrasound imaging
    • Authors: AA Oglat, N Suardi, MZ Matjafri, MA Oqlat, MA Abdelrahman, AA Oqlat
    • Year: 2018
    • Citations: 22
  9. A new scatter particle and mixture fluid for preparing blood mimicking fluid for wall-less flow phantom
    • Authors: AA Oglat, MZ Matjafri, N Suardi, MA Abdelrahman, MA Oqlat, AA Oqlat
    • Year: 2018
    • Citations: 21
  10. Plastic fiber evanescent sensor in measurement of turbidity
    • Authors: S Yeoh, MZ Matjafri, KN Mutter, AA Oglat
    • Year: 2019
    • Citations: 20