Group Publications

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. Link

Kocak B, Ponsiglione A, Stanzione A, et al. 2024. “Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects” Diagnostic and Interventional Radiology, Link

Klontzas ME 2024. “Reporting checklists as compulsory supplements to artificial intelligence manuscript submissions” Diagnostic and Interventional Radiology, Link

Garrucho L, Reidel C-A, Kushibar K et al. 2024. “MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations” arXiv, arXiv:2406.13844. Link

Matthaiou N, Klontzas ME, Kakkos GA, et al. 2024 "Utility of Dual-Energy Computed Tomography in lesion characterization and treatment planning for peripheral Chronic Total Occlusions: A comprehensive analysis of crossing difficulty", European Journal of Radiology Link

Tejani A.*, Klontzas M.E.*, Gatti A.A.*, Mongan J., Moy L., Kahn C.E. Jr, & CLAIM 2024 Update Panel, “Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update”, Radiology: Artif Intell, 6:e240300, 2024. *co-first authorship

Klontzas M.E., Ponsiglione A., Cuocolo R. 2024 "Evaluation of AI-assisted medical image reconstruction: More than meets the eye?" European Radiology Link

Klontzas M.E. ”Radiomics feature reproducibility: the elephant in the room”. Eur J Radiol, 175, 111430, 2024

Kapetanou E., Malamas S., Leventis D., Karantanas A.H. and Klontzas M.E., “Developing a Radiomics Atlas Dataset of normal Abdominal and Pelvic computed Tomography (RADAPT)”, J Imaging Inform Med, 2024

Albano D., Mallardi C.,..., Klontzas M.E.,...,Messina C. “How young radiologists use contrast media and manage adverse reactions: an international survey”, Insights Imaging, 15(1):92, 2024

Klontzas M.E., Kalarakis G., Koltsakis E., Papathomas T., Karantanas A.H.. Tzortzakakis A. ”Convolutional neural networks for the differentiation between benign and malignant
renal tumors with a multicenter international computed tomography dataset”. Insights Imaging, 15(1):26, 2024

Kocak B., Akinci D’Antonoli T.,..., Klontzas M.E.,...,Cuocolo R. “METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII”, Insights Imaging, 171:111313, 2024

Vrettos K., Koltsakis E., Zibis A.H., Karantanas A.H. and Klontzas M.E., “Generative adversarial networks for spine imaging: A critical review of current applications”, Eur J Radiol, 171:111313, 2024

Pimenta M., Vassalou E.E., Klontzas M.E., Dimitri-Pinheiro S., Ramos S., and Karantanas A.H., “Ultrasound-guided hydrodilatation for adhesive capsulitis: capsule- preserving versus capsule-rupturing technique.”, Skeletal Radiol, 53(2):253-261, 2024

Perysinakis I., Klontzas M.E., Psaroudakis I.G., Karantanas A.H., de Bree E., Vassalou E.E.. ”Performance of Ultrasonography in the Diagnosis of Acute Colonic Diverticulitis”. J Ultrasound Med, 43(1):45-56, 2024

Kranioti E.F., Spanakis K., Flouri D.E., Klontzas M.E., Karantanas A.H., “PMCT in the investigation of homicides”, Clin Radiol, 78(11):832-838, 2023

Klontzas M.E., Triantafyllou M., Leventis D., Koltsakis E., Kalarakis G., Tzortzakakis A., Karantanas A.H., “Radiomics analysis for multiple myeloma: a systematic review with radiomics quality scoring”, Diagnostics, 13(12):2021, 2023

Tejani A.S., Klontzas M.E., Gatti A.A., Mongan J., Moy L. Park S.H., Kahn C.E. Jr. ”Updating the checklist for artificial intelligence in medical imaging (CLAIM) for reporting AI research”. Nat Machine Intell, 5: 950-951, 2023

Klontzas M.E., Leventis D., Spanakis K., Karantanas A.H., Kranioti E.F., “Post- mortem CT radiomics for the prediction of time since death”, Eur Radiol, 33(11):8387- 8395, 2023

Akinci D’Antonoli T., Stanzione A., Bluethgen C., Vernuccio F., Ugga L., Klontzas M.E., Cuocollo R., Cannella R., Kocak B. ”RLarge language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions”. Diagn Interv Radiol, Online ahead of print, 2023

Pimenta M., Vassalou E.E., Cardoso-Marinho B., Klontzas M.E., Dimitri S., Karantanas A.H. “The role of MRI and ultrasonography in diagnosis and treatment of glenohumeral joint adhesive capsulitis”, Med J Rheumatol, 34(1):7-15, 2023

Dimitri-Pinheiro S., Klontzas M.E., Vassalou E.E., Pimenta M., Soares R., Karantanas A.H. ”Long-term outcomes of ultrasound-guided hydrodistension for adhesive capsulitis: a prospective observational study”, Tomography, 2023

Akinci D’Antonoli T., Cavallo A.U., Vernuccio F., Stanzione A. Klontzas M.E., Cannella R., Ugga L., Baran A. et al. ”Reproducibility of radiomics quality score: an intra- and inter-rater reliability study”. Eur Radiol, Online ahead of print, 2023

Klontzas M.E., Koltsakis E., Kalarakis G., Trpkov K., Papathomas T., Karantanas A.H.. Tzortzakakis A. ”Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors”. Cancers, 15:3553, 2023

Klontzas M.E., Vassalou E.E., Spanakis K., Meurer F., Woerlter K., Zibis A.H., Marias K., Karantanas A.H.. ”Deep learning enables the differentiation between early and late stages of hip avascular necrosis”. Eur Radiol, Online ahead of print, 2023

Klontzas M.E., Koltsakis E., Kalarakis G., Trpkov K., Papathomas T., Sun N., Walch A., Karantanas A.H.. Tzortzakakis A. ”A pilot radiometabolomics integration study for the characterization of renal oncocytic neoplasia”. Sci Rep, 13:12594, 2023

McKenney A.S., Klontzas M.E., Wattamwar K., Hoegger M.J. “Noteworthy: taking notes for radiology training and beyond”, RadioGraphics, 43(3):e220184, 2023

Triantafyllou M., Klontzas M.E., Koltsakis E., Papakosta V., Spanakis K. Karantanas A.H. ”Radiomics for the detection of active sacroiliitis on MR imaging”. Diagnostics, 13:2587, 2023

Klontzas M.E., Gatti A.A., Tejani A.S., Kahn C.E. Jr. ”AI guidelines: how to select the best one for your research”. Radiol Artif Intell, 5(3):e230055, 2023

Klontzas M.E., Vassalou E.E., Zibis A.H., Karantanas A.H.. ”Imaging of anatomical variants around the hip”. Semin Musculoskelet Radiol, 27(2): 182-196, 2023

Cannella R., Venuccio F., Klontzas M.E., Ponsiglione A., Petrash E., Ugga L., Pinto Dos Santos D., Cuocolo R., “Systematic review with radiomics quality score of cholangiocarcinoma: an EuSoMII Radiomics Auditing Group Initiative.”, Insights Imaging,14:21, 2023

Dimitri-Pinheiro S., Klontzas M.E.,Pimenta M., Vassalou E.E., Soares R., and Karantanas A.H., “Ultrasound-guided hydrodistension for adhesive capsulitis: a longitudinal study
on the effect of diabetes on treatment outcomes.”, Skeletal Radiol, Online ahead of print, 2022

Pimenta M., Vassalou E.E., Dimitri-Pinheiro S., Klontzas M.E., Ramos S., and Karantanas A.H., “Ultrasound-Guided Hydrodistension for Adhesive Capsulitis: Is There any Adjunct Effect of Immediate Post-Procedural Manipulation over Instructed Physical Therapy?.”, J Ultrasound Med, Online ahead of print, 2022

Klontzas M.E., Kearns C., Sheikhbahaei S., and Cornejo P., “Anti-NMDA-Receptor Encephalitis.”, RadioGraphics, 42: E199-E200, 2022

Kontopodis N, Klontzas M.E.,Tzirakis K., Charalambous S., Marias K., Tsetis K, Karantanas A.H., Ioannou C.V. ”Prediction of abdominal aortic aneurysm growth by artificial intelligence taking into account clinical, biologic, morphologic, and biomechanical variables”. Vascular, online ahead of print,doi: 10.1177/17085381221077821, 2022

Klontzas M.E., Karantanas A.H.. ”Research in Musculoskeletal Radiology: Setting Goals and Strategic Directions”. Semin Musculoskelet Radiol, 26(3): 354-358, 2022

Klontzas M.E., Vassalou E.E., Kakkos G.A., Spanakis K., Zibis A.H., Marias K., Karantanas A.H.. ”Differentiation between subchondral insufficiency fractures and advanced osteoarthritis of the knee using transfer learning and an ensemble of convolutional neural networks”. Injury, 53(6): 2035-2040, 2022

Klontzas M.E., Jean J., Turner V.L., and Balthazar P., “Why and How to Increase Diversity in the Radiology Trainee Workforce.”, RadioGraphics, 42(3): E82-E85, 2022

Balthazar P, Klontzas M.E., Heng L.X.X. and Kearns C., “Cowden Syndrome”, RadioGraphics, 42(2): E44-E45, 2022.

Klontzas M.E., Lanier M.H., Sheikhbahaei S., and Bedi H., “Exposing the Hidden Curriculum in Radiology Training: A True 360° Evaluation.”, RadioGraphics, 42(1): E9-E11, 2022.

Klontzas M.E., Volitakis E., Aydingoz U., Chlapoutakis K. and Karantanas A.H. “Machine learning identifies factors related to early joint space narrowing in dysplastic and non-dysplastic hips.” Eur Radiol, 32(1):542-550, 2022.

Vassalou E.E.*, Klontzas M.E.*, Kostas Marias and Karantanas A.H. “Predicting long-term outcomes of ultrasound-guided percutaneous irrigation of calcific tendinopathy with the use of machine learning.” Skeletal Radiol, 51(2):417-422, 2022