📅38 days until RSNA 2026 begins.
The Academy is excited to induct the 2026 Distinguished Investigators, and honor our Gold Medal recipient, Dr. Mitchell D. Schnall. 👏
See you there!
#ACADRAD#RSNA26#DISTINGUISHEDINVESTIGATORS#AWARDS
October is Breast Cancer Awareness Month 🎗️
Behind every early detection is a researcher pushing imaging forward. This month, we're proud to spotlight 2026 Distinguished Investigator Rebecca Rakow-Penner, MD, PhD.@RakowPenner#BCAM#ACADRAD#DistinguishedInvestigator
4/5 🎉Janine Bijsterbosch, PhD @WashUMedMIR
Uses computational neuroimaging & large datasets to find brain markers of mental health: reproducible depression correlates in 6 datasets, brain profiles tied to symptom dimensions & network shape/location sensitive to behavior. 👏
3/5 🎉Marta Bianciardi, PhD @MassGenBrigham
Pioneered ultra-high-field MRI of the living human brainstem, built a brainstem nuclei atlas & the first brainstem-cortical connectivity maps. Now: MRI biomarkers of prodromal Parkinson’s, disorders of consciousness & sleep disorders.
2/5 🎉Ramon Barajas Jr MD @OHSURadiology
Dr. Barajas Jr., a neuroradiologist and physician-scientist, develops and clinically translates advanced imaging biomarkers, emphasizing quantitative imaging genomics, neuroinflammation, and molecular radiotheranostics. Congratulations!👏
Congratulations to Dr. Barajas on his acceptance into the Academy for Radiology & Biomedical Imaging Research’s 2026 Council of Distinguished Investigators!
Learn more about the Council of Distinguished Investigators here: https://t.co/GYvL1x2hFZ
5/5 🎉Dr. Chaitra Badve led the first clinical application of MR Fingerprinting in adult brain tumors, opening the door to non-invasive, quantitative tumor characterization through multi-institutional, NIH-funded team science. @CWRUimaging@cwru
🎉Congratulations to our 2026 Academy Distinguished Investigators! We’re celebrating all 55 honorees in the weeks leading up to RSNA. Today: four researchers advancing brain, neurovascular, and AI-enabled imaging. 🧵 #Radiology#MedicalImaging#rsna
4/5🎉 Dr. Mark A. Anastasio builds the math behind AI-enabled imaging: more accurate photoacoustic imaging, machine learning methods to evaluate imaging systems, and frameworks for detecting AI “hallucinations” in medical images. @WashUMedMIR