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Evan Calabrese

Assistant Professor of Radiology
Radiology, Neuroradiology

Research Interests


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 neuro-oncology. 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.

Selected 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

Prospective Evaluation of Automated Pre- and Postoperative Tumor Segmentation for Patients with Glioblastoma

ResearchPrincipal Investigator · Awarded by Neuroradiology Education and Reserach Foundation (formerly Foundation of the ASNR) · 2022 - 2024

External Relationships


  • Legal Consulting
  • Neurona Therapeutics
  • Servier
  • Siemens

This faculty member (or a member of their immediate family) has reported outside activities with the companies, institutions, or organizations listed above. This information is available to institutional leadership and, when appropriate, management plans are in place to address potential conflicts of interest.