Michail Klontzas
Affiliations: | Radiology | University of Crete, Giofirakia, Greece |
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"Michail Klontzas"Cross-listing: BME Tree
Parents
Sign in to add mentorApostolos Karantanas | grad student | University of Crete | |
Athanasios Mantalaris | grad student | University of Crete |
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Publications
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Triantafyllou M, Vassalou EE, Goulianou AM, et al. (2025) The Effect of Ultrasound Image Pre-Processing on Radiomics Feature Quality: A Study on Shoulder Ultrasound. Journal of Imaging Informatics in Medicine |
Tourvas EA, Zibis AH, Klontzas ME, et al. (2025) The rectus abdominis tendon insertion to the pubic bone and its clinical implications: A cadaveric study. Sicot-J. 11: 4 |
Triantafyllou M, Vassalou EE, Klontzas ME, et al. (2025) Ultrasound radiomics predict the success of US-guided percutaneous irrigation for shoulder calcific tendinopathy. Japanese Journal of Radiology |
Klontzas ME, Vernardis SI, Batsali A, et al. (2024) Machine Learning and Metabolomics Predict Mesenchymal Stem Cell Osteogenic Differentiation in 2D and 3D Cultures. Journal of Functional Biomaterials. 15 |
Klontzas ME, Vassalou EE, Spanakis K, et al. (2024) Musculoskeletal Infection: The Great Mimickers on Imaging. Journal of Clinical Medicine. 13 |
Klontzas ME, Ri M, Koltsakis E, et al. (2024) Prediction of Anastomotic Leakage in Esophageal Cancer Surgery: A Multimodal Machine Learning Model Integrating Imaging and Clinical Data. Academic Radiology |
Vassalou EE, Perysinakis I, Klontzas ME, et al. (2024) Performance of thoracic ultrasonography compared with chest radiography for the detection of rib fractures using computed tomography as a reference standard. Skeletal Radiology |
Kapetanou E, Malamas S, Leventis D, et al. (2024) Developing a Radiomics Atlas Dataset of normal Abdominal and Pelvic computed Tomography (RADAPT). Journal of Imaging Informatics in Medicine |
Klontzas ME, Kalarakis G, Koltsakis E, et al. (2024) Convolutional neural networks for the differentiation between benign and malignant renal tumors with a multicenter international computed tomography dataset. Insights Into Imaging. 15: 26 |
Vrettos K, Koltsakis E, Zibis AH, et al. (2024) Generative adversarial networks for spine imaging: A critical review of current applications. European Journal of Radiology. 171: 111313 |