Evan Calabrese
Assistant Professor of Radiology
Department: Radiology
Home School: School of Medicine
Email Address: evan.calabrese@duke.edu
Research Overview:
Computational image processing, including artificial intelligence, for improving diagnosis and treatment monitoring of central nervous system diseases with a focus on neuro-oncology.
Publications:
- BraTS orchestrator: Democratizing and Disseminating state-of-the-art brain tumor image analysis
- Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race
- A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM
- Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
- Photon-Counting Computed Tomography for Evaluation of Coiled Intracranial Aneurysms
- The Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg)
- State and Diffusion of National Institutes of Health Funding of AI in Radiology
- Artificial Intelligence Prediction of Meningioma Grade Using Preoperative MRI: A Large Multicenter Study
- Deep Learning Based Volumetric MRI Segmentation Algorithm for Vestibular Schwannoma Monitoring
- Meningioma Who Grade Prediction Via a Novel Artificial Intelligence Algorithm Combining Preoperative MRI and Intraoperative Spectroscopy
- 116 Steroid Responsiveness Predicts the Feasibility of LITT in the Motor Cortex
- Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment
- A multimodal AI framework integrating spatial omics and radiomics for recurrence prediction in glioblastoma
- Agentic Automation of BT-RADS Scoring: End-to-End Multi Agent System for Standardized Brain Tumor Follow-up Assessment
- NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Datasets