G
Georgios Z. Papadakis
Researcher at Foundation for Research & Technology – Hellas
Publications - 111
Citations - 1965
Georgios Z. Papadakis is an academic researcher from Foundation for Research & Technology – Hellas. The author has contributed to research in topics: Cushing syndrome & Neuroendocrine tumors. The author has an hindex of 18, co-authored 107 publications receiving 1430 citations. Previous affiliations of Georgios Z. Papadakis include University of Crete & National Institutes of Health.
Papers
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Journal ArticleDOI
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Mingchen Gao,Ulas Bagci,Le Lu,Aaron Wu,Mario Buty,Hoo-Chang Shin,Holger R. Roth,Georgios Z. Papadakis,Adrien Depeursinge,Ronald M. Summers,Ziyue Xu,Daniel J. Mollura +11 more
TL;DR: Qualitative and quantitative results using a publicly available ILD database demonstrate state-of-the-art classification accuracy under the patch-based classification and shows the potential of predicting the ILD type using holistic image.
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Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends
Awais Mansoor,Ulas Bagci,Brent Foster,Ziyue Xu,Georgios Z. Papadakis,Les R. Folio,Jayaram K. Udupa,Daniel J. Mollura +7 more
TL;DR: A critical summary of the current methods for lung segmentation on CT images is provided, with special emphasis on the accuracy and performance of the methods in cases with abnormalities and cases with exemplary pathologic findings.
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68Ga-DOTATATE for Tumor Localization in Tumor-Induced Osteomalacia
Diala El-Maouche,Diala El-Maouche,Samira M. Sadowski,Samira M. Sadowski,Georgios Z. Papadakis,Lori C. Guthrie,Candice Cottle-Delisle,Roxanne Merkel,Corina Millo,Clara C. Chen,Electron Kebebew,Michael T. Collins +11 more
TL;DR: In this first prospective study comparing 68Ga-DOTATATE PET/CT to Octreoscan-SPECT/CT and 18F FDG-PET in TIO localization, 68 Ga-DotATATEPET/CT demonstrated the greatest sensitivity and specificity, suggesting that it may be the best single study for localization of PMTs in Tio.
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Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays
Nikos Tsiknakis,Eleftherios Trivizakis,Evangelia E. Vassalou,Georgios Z. Papadakis,Demetrios A. Spandidos,Aristidis Tsatsakis,Jose Sánchez‑García,Rafael López‑González,Nikolaos Papanikolaou,Apostolos H. Karantanas,Kostas Marias +10 more
TL;DR: This study presents an interpretable AI framework assessed by expert radiologists on the basis on how well the attention maps focus on the diagnostically-relevant image regions, achieving an overall area under the curve of 1 for a binary classification problem across a 5-fold training/testing dataset.
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Improving diagnosis, prognosis and prediction by using biomarkers in CRC patients (Review).
Taxiarchis Konstantinos Nikolouzakis,Loukia Vassilopoulou,Persefoni Fragkiadaki,Theodoros Mariolis Sapsakos,Georgios Z. Papadakis,Demetrios A. Spandidos,Aristides M. Tsatsakis,John Tsiaoussis +7 more
TL;DR: This review aims to describe the most accepted biomarkers among those proposed for use in CRC divided based on the clinical specimen that is examined (tissue, faeces or blood) along with their restrictions.