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Evan Calabrese

Assistant Professor of Radiology
Radiology, Neuroradiology

Overview


As a physician scientist focused on artificial intelligence (AI) applications for neurologic disease, my ongoing career goal is to combine clinical excellence in neuroradiology with cutting-edge AI research. My primary research interest lies in the use of innovative AI techniques to help extract clinically useful information from multimodal health data with a focus on neuroimaging. Modern neuroimaging studies, most notably multi-sequence MRI, are amongst the largest and most complex types of health data that are routinely acquired for patients with neurologic disorders. I believe that modern AI tools have enormous potential to help extract new, clinically useful information from complex neuroimaging studies, and through integration with other types of health data, will ultimately improve diagnosis, management, and treatment monitoring for patients with neurologic disease.

Current Appointments & Affiliations


Assistant Professor of Radiology · 2022 - Present Radiology, Neuroradiology, Radiology
Assistant Professor of Biomedical Engineering · 2024 - Present Biomedical Engineering, Pratt School of Engineering

Recent Publications


A surgical window of opportunity trial evaluating the effect of the PCSK9 inhibitor evolocumab on tumoral MHC-I expression and CD8+ infiltration in glioma.

Journal Article Sci Rep · October 23, 2025 Many cancers evade immunosurveillance by downregulating surface major histocompatibility class (MHC)-I. Proprotein convertase subtilisin/kexin type 9 (PCSK9) promotes MHC-I degradation and is elevated in glioma. Evolocumab is a clinically approved PCSK9 in ... Full text Link to item Cite

Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race.

Journal Article J Am Coll Radiol · October 2025 OBJECTIVES: Differences in CT-based body composition (BC) have been observed by race. We sought to investigate whether indices reporting census block group-level disadvantage, Area Deprivation Index (ADI) and Social Vulnerability Index (SVI), age, gender, ... Full text Link to item Cite

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM.

Journal Article Adv Radiat Oncol · August 2025 PURPOSE: Stereotactic radiosurgery (SRS) is widely used for brain metastases (BM), but the risk of radionecrosis poses a challenge in post-SRS management. Given the lack of noninvasive imaging methods for distinguishing radionecrosis from recurrence, we ai ... Full text Link to item Cite
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Recent Grants


Building and implementing a TBI prognostic model featuring real-time analysis of brain CT images

ResearchCo Investigator · Awarded by National Institute of Neurological Disorders and Stroke · 2022 - 2027

Identifying Vertebral Artery Dissection on CT Using A Deep Learning Vascular Segmentation Model

ResearchPrincipal Investigator · Awarded by Radiological Society of North America · 2025 - 2026

Federated Learning for Postoperative Segmentation of Treated Glioblastoma (FL-PoST)

ResearchPrincipal Investigator · Awarded by American Roentgen Ray Society · 2024 - 2026

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Education, Training & Certifications


Duke University, School of Medicine · 2016 MD./PhD.