Maryam Vejdani Jahromi, MD, PhD
Harvard Medical School
Machine Learning Algorithm to Detect Region of Brain Infarction based on CT Angiogram Imaging
Yongkai Liu, PhD
Stanford University
Predicting Functional Outcomes in Acute Ischemic Stroke from Non-Contrast CT and Clinical Information
Gabriel Broocks, MD
University Medical Center Hamburg
A multicenter study to implement an imaging biomarker for acute stroke management: deep learning-based quantification of net water uptake in the ischemic brain
Razia Sultana, DVM, MS, PhD
UT Southwestern Medical Center
Nitrous Oxide Enhances MRI-guided Focused Ultrasound Mediated Blood Brain Barrier Opening
Nancy Pham, MD
Stanford University
Multi-technique MR Perfusion Evaluation of Nasopharyngeal Carcinomas: A Study Assessing the Concurrent Use of Dynamic Susceptibility Contrast-enhanced, Dynamic Contrast-enhanced, and Arterial Spin Labeling for Whole-tumor Characterization and Biomarker Discovery
Hye Hyeon Moon, MD, PhD
Asan Medical Center
Prospective Longitudinal Analysis of Imaging-based Spatiotemporal Tumor Habitats in Glioblastoma, IDH-wild type: Implication in Patient Outcome using Multiparametric Physiologic MRI
Nikdokht Farid, MD
University of California, San Diego
Cynthia Greene, MD, PhD
Johns Hopkins Hospital
Applying pH-sensitive amide proton transfer imaging to poststroke dementia patients in order to determine imaging biomarkers of post stroke outcomes
Dhairya Lakhani, MD
Johns Hopkins University
Novel MR fingerprinting ASL in characterization of small arteriovenous malformations (AVMs)
Inka Berglar, Dipl-Math
Massachusetts General Hospital and Harvard Medical School
Accuracy, Variability and Spatial Overlap of Infarct Core from Three CT Perfusion Packages vis-à-vis Diffusion Weighted Images: A Comparative Study
Peter Kamel, MD
University of Maryland
Cross-Modality Stroke Segmentation using Deep Convolutional Neural Networks for Detection of Acute Ischemic Infarcts on Non-Contrast Head CT
Virginia Hill, MD
Northwestern University
Augmented Intelligence Analysis of Meningioma MRIs According to DNA Methylation Subgroups, Molecular Markers, and Copy Number Variants
Priya Rajagopalan, MBBS, MPH
University of Southern California
Assessing Brain volumes and White matter Microstructure in Alzheimer's Disease in relation to Astrocyte and Oligodendrocyte based genetic subtypes
Licia Luna, MD, PhD
Johns Hopkins School of Medicine
Investigating the Resting State Functional Connectivity and Molecular Underpinnings of the Association between Post-Traumatic Stress Disorder (PTSD) and Dementia
Thank you again for the Women in Neuroradiology Leadership Award and the opportunity to attend the RLI Summit in Boston.
Nikdokht (Niky) Farid, MD
Intraprocedural measurement of stroke reperfusion volume and outcome prediction using digital subtraction angiography
Henrik Ullman, MD, PhD
Ex Vivo 170 microns Ultra-High Spatial Resolution 7T MRI Characterization of Multiple Sclerosis Paramagnetic Rim Lesions with Histologic Correlation
Emmanuel Obusez, MD
Prospective Evaluation of Automated Pre- and Postoperative Tumor Segmentation for Patients with Glioblastoma
Evan Calabrese, MD, PhD
Use of AI for intermodality conversion of brain MR to PET for diagnosis of AD, MCI, and aging normals
Vivek Prabhakaran, MD, PhDThe Alzheimer’s Association and The Foundation of the American Society of Neuroradiology have announced the recipients of a new funding program for imaging-related research. The goal of The Alzheimer’s Association & The Foundation of the ASNR Funding Opportunity: Imaging Research in Alzheimer’s and Other Neurodegenerative Diseases is to support the development of new novel imaging tools, advance imaging-based research, and provide funding for novel and innovative imaging data analysis pertaining to Alzheimer’s and related dementia.
Awardees each received up to $200,000 for the one-year period of funding.
The Foundation of the ASNR has received a charitable gift totaling $4,000,000 to establish the Aldon Mark Berger Fund for Research and Education in Mental Health. The Foundation gratefully acknowledges the generosity of the estate of Elaine Berger in making this donation.
The Aldon Mark Berger Fund will be used by the Foundation to develop competitive research grants and provide education for imaging as it relates to mental health, which is an integral part in the diagnosis and treatment of several diseases and disorders.
The ASNR awards Gregory G. Zaharchuk, MD, PhD, with the 2023 Outstanding Contributions in Research Award. Dr. Zaharchuk is Professor with Tenure of Radiology at Stanford University and the Stanford School of Medicine. He serves as Director of the Center for Advanced Functional Neuroimaging (CAFN) at Stanford, where he oversees high school students, undergraduates, graduate students, residents, fellows, and post-doctoral students whose research focuses on advanced medical imaging techniques and algorithms (including AI) with the goal of alleviating the burden of neurological disease, particularly for stroke and dementia.
