Ermanno Cordelli

Centro Diagnostico Italiano, Università Campus Bio-Medico

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About

Ermanno Cordelli’s research focuses on the intersection of medical imaging, machine learning, and oncology, with a particular emphasis on radiomics—the high-throughput extraction of quantitative features from medical images to predict disease progression and treatment outcomes. His major contributions center on acoustic neuroma (vestibular schwannoma), a benign intracranial tumor, where he has pioneered the use of radiomics to predict tumor response to stereotactic radiosurgery, specifically CyberKnife therapy. Cordelli’s work addresses the critical challenge of imbalanced datasets in radiomic analysis, developing methods to improve predictive accuracy despite limited or skewed clinical data. His most cited paper, “Tackling imbalance radiomics in acoustic neuroma” (2019, 8 citations), and related studies (2018–2019, each with 4 citations) collectively establish a foundation for non-invasive, imaging-based biomarkers that could guide personalized treatment decisions, reducing the need for invasive monitoring. By integrating advanced computational techniques with clinical radiology, Cordelli’s research has the potential to enhance prognostic precision for slow-growing tumors, where timely intervention is key to preventing serious neurological symptoms. His work represents a meaningful step toward translating radiomics from proof-of-concept into clinical practice, offering a data-driven lens for managing acoustic neuroma and similar conditions.