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Neuroimaging Clinics of North America|October 11, 2020
Knowledge Based Versus Data Based: A Historical Perspective on a Continuum of Methodologies for Medical Image AnalysisPeter Savadjiev, Caroline Reinhold, Diego Martin, et al.
Computational and Structural Biotechnology Journal|August 8, 2019
Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in OncologyReza Forghani, Peter Savadjiev, Avishek Chatterjee, et al.
European Radiology|April 10, 2019
Image-based biomarkers for solid tumor quantificationPeter Savadjiev, Jaron Chong, Anthony Dohan, et al.
European Radiology|January 23, 2022
Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithmJérémy Dana, Thierry L Lefebvre, Peter Savadjiev, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma SegmentationFaicel Chamroukhi, Segolene Brivet, Peter Savadjiev, et al.
Radiology. Artificial Intelligence|February 11, 2022
Improved Detection of Chronic Obstructive Pulmonary Disease at Chest CT Using the Mean Curvature of IsophotesPeter Savadjiev, Benoit Gallix, Morteza Rezanejad, et al.
Neuroimaging Clinics of North America|October 11, 2020
Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and DeploymentFarhad Maleki, Nikesh Muthukrishnan, Katie Ovens, et al.
European Radiology|January 3, 2018
Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigmEiman Al Ajmi, Behzad Forghani, Caroline Reinhold, et al.
Neuroimaging Clinics of North America|October 11, 2020
Brief History of Artificial IntelligenceNikesh Muthukrishnan, Farhad Maleki, Katie Ovens, et al.
Neuroimaging Clinics of North America|October 11, 2020
Overview of Machine Learning Part 1: Fundamentals and Classic ApproachesFarhad Maleki, Katie Ovens, Keyhan Najafian, et al.
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