Panagiotis Korfiatis
WinnMed(US)Mayo Clinic in Arizona(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education, AI in cancer detection, Glioma Diagnosis and Treatment, MRI in cancer diagnosis
Most-Cited Works
- → Machine Learning for Medical Imaging(2017)1,595 cited
- → Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning(2018)339 cited
- → Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status(2017)200 cited
- → Toolkits and Libraries for Deep Learning(2017)173 cited
- → Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis(2022)164 cited
- → MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas(2016)163 cited
- → Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys(2017)143 cited
- → RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning(2019)125 cited
- → Deep Learning in Radiology: Does One Size Fit All?(2018)115 cited
- → A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions(2022)86 cited