Several residents and graduate students from the lab of Clinician and Professor, Albert Hsiao, MD, PhD of the Department of Radiology and Halıcıoğlu Data Science Institute, have had their abstracts accepted for presentation at the Radiological Society of North America (RSNA) 2024 Annual Meeting. This achievement highlights the groundbreaking research conducted within Dr. Hsiao’s lab and the NIH T32 Clinician-Scientist Research Residency Program, marking significant contributions to the field of radiology.
With over 12,000 abstracts submitted to the RSNA, the selection of these abstracts is a testament to the exceptional quality and innovation of Dr. Hsiao’s team. Their research promises to advance the understanding and practice of radiology, setting new benchmarks for excellence in the discipline.
The Halıcıoğlu Data Science Institute extends heartfelt congratulations to these outstanding individuals on their remarkable achievements and wishes them continued success at RSNA 2024.
pictured: Lab of Clinician and Professor, Albert Hsiao, MD, PhD
Dr. Melina Hosseiny, MD
Dr. Melina Hosseiny, a research resident, will present two educational abstracts at RSNA 2024: “MRI of Nonischemic Cardiomyopathy: The Intersection of New Diagnostics and Therapeutics” and “Four-Dimensional (4D) Flow MR in Vascular Disease.” These presentations are anticipated to serve as stepping stones toward eventual publication in Radiographics, if selected at the national meeting. This adds to Dr. Hosseiny’s already numerous and impressive accomplishments during her residency, which reflect her dedication and expertise in the field.
Dr. Sophie (You) Wong, MD
Dr. Sophie Wong, a research resident, will deliver an oral presentation on “Feasibility of Deep Learning Myocardial Strain Assessment for Cardiac CTA.” This presentation forms part of the significant work proposed in her RSNA grant, which was also awarded this year. Dr. Wong previously presented at RSNA as a medical student on “Deep Learning Automated Phase-Error Correction for Abdominopelvic 4D Flow MRI,” a project that earned her a Trainee Research Prize and was published in Radiology. She additionally co-led an educational abstract on “Vascular Emergencies in Hospitalized Patients: From Chest to Toe” in conjunction with colleagues from Stanford, to increase awareness of our approach to advanced imaging for vascular disease. Her continued success and contributions are eagerly awaited.
Dr. Roshun Sankaran, MD
Dr. Roshun Sankaran, a new research resident, will present “Clinical Implementation of Inspiratory-Expiratory Chest CT: Defining Criteria for Diagnostic Quality and Detection of Concurrent FEV1 Decline Following Lung Transplantation.” Dr. Sankaran joins the UCSD research residency from General Surgery, and his ongoing contributions to the residency and department are highly anticipated.
Akhilesh Yeluru
Akhilesh Yeluru, an MD/PhD student in Bioengineering in the UCSD Medical Scientist Training Program, will present his research on “Automated 4D Flow Quantification of Flow Volume and Shunt Fraction” as an oral presentation at RSNA 2024. His work has also been accepted for an oral presentation at NASCI 2024. This significant project marks a major milestone in his PhD thesis journey and highlights the promising future of applying artificial intelligence algorithms to automate the measurement of blood flow during MRI, and improve the care of patients with congenital heart disease.
About RSNA
The Radiological Society of North America (RSNA) promotes excellence in patient care and healthcare delivery through education, research, and technological innovation. The RSNA Annual Meeting is one of the largest medical conferences in the world, attracting over 40,000 radiologists, researchers, and industry professionals from around the globe, annually.
