2025 Award Winners
SENRS Summa Cum Laude Merit Award
Mark Bishop, Medical Student 4th year (MS4)
“Yield in Patients with Spontaneous Deep Intracerebral Hemorrhage”
SENRS Magna Cum Laude Merit Award
Jiyae Lee, MD
“What Does the Incidence of Supratentorial and Infratentorial Subdural Hematomas Imply about Tentorial Dural Anatomy?”
Interesting Case Awards
Nicholas Mynarski, MD
“The Evaluation and Treatment of Chronic Lymphocytic Inflammation with Pontine Perivascular Enhancement Responsive to Steroids (CLIPPERS)”
Nnenna Achebe, Medical Student
“Chronic Migraines- A Case Report of MRI findings of undiagnosed CADASIL”
John Hollis Tackett, Medical Student 3rd Year (MS3)
“Adenoma Apoplexy: Not Just for the Pituitary Gland”
Prior Award Winners
2023
Summa Cum Laude Abstract Award
Kartik Reddy, MD
Magna Cum Laude Abstract Award
Elena Greco, MD
Interesting Case Awards
Tyler Sargent, MD
Vinayak Ganeshan, MD
Gibson Klapthor, MD
Tuba Kalelioglu, MD
2022
Best Poster Award
Ryan Rigsby, MD, and Erik H. Middlebrooks, MD – Mayo Clinic
“Utility of Susceptibility-Weighted Imaging at 7T”
Best Poster Award
Brittany Rea, MD, Noah Gafen, BS, Manuel Vazquez, BS, Igor Sirotkin, MD, and Carlos Martinez, MD, FACR – University of South Florida
“Uncommon Adult Brain Herniations”
2021
Best Poster Award
Lela Okromelidze, MD, Ayushi Jain, MBBS, William O. Tatum, Vivek Gupta, Sanjeet S. Grewal, MD, Erik H. Middlebrooks, MD – Mayo Clinic
“Lesion-Network Analysis Predicts Outcomes After Laser Ablation of the Mesial Temporal Lob in the Treatment of Temporal Lobe Epilepsy”
Best Paper Award
Michael D. Malinzak, MD, PhD – Duke University Medical Center
“Neuroimaging in Congenital Heart Disease”
2019
Best Paper Award
Paul M. Bunch, MD – Wake Forest School of Medicine, NC
Parathyroid 4D CT: Rationale, Practical Approach and What the Surgeon Wants to Know
Best Poster Award
Justin Philip, MD, John Dennison, MD and Richard Beegle, MD – Advent Health Medical Group Radiology in Central Florida
“Brown Syndrome-An Interesting Case”
Best Poster Award
Alex Argis, Yuan Xie and Greg Zaharchuk, MD – Center for Advanced Functional Neuroimaging, Stanford University
“Predicting Stroke Outcome from Meta Information Available at Patient Admission to Help Guide Treatment”