Roberto Gatta
Precision for Medicine (United States)(US)University of Brescia(IT)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Business Process Modeling and Analysis, Medical Imaging Techniques and Applications, Semantic Web and Ontologies, Advanced X-ray and CT Imaging
Most-Cited Works
- → The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping(2020)3,653 cited
- → Process mining for healthcare: Characteristics and challenges(2022)256 cited
- → Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy(2021)181 cited
- → Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer(2017)123 cited
- → Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer(2018)106 cited
- → A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer(2020)81 cited