Anthimopoulos, Marios

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Number of items: 19.

Journal Article

Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas; Geiser, Thomas; Christe, Andreas; Mougiakakou, Stavroula Georgia (2018). Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks. IEEE journal of biomedical and health informatics, p. 1. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2018.2818620

Christodoulidis, Stergios; Anthimopoulos, Marios; Ebner, Lukas; Christe, Andreas; Mougiakakou, Stavroula (2017). Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. IEEE journal of biomedical and health informatics, 21(1), pp. 76-84. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2016.2636929

Dehais, Joachim Blaise; Anthimopoulos, Marios; Shevchik, Sergey; Mougiakakou, Stavroula (2017). Two-view 3D Reconstruction for Food Volume Estimation. IEEE transactions on multimedia, 19(5), pp. 1090-1099. Institute of Electrical and Electronics Engineers 10.1109/TMM.2016.2642792

Bally, Lia; Dehais, Joachim Blaise; Nakas, Christos T.; Anthimopoulos, Marios; Laimer, Markus; Rhyner, Daniel Kaspar; Rosenberg, George; Züger, Thomas; Diem, Peter; Mougiakakou, Stavroula; Stettler, Christoph (2016). Carbohydrate Estimation Supported by the GoCARB system in Individuals With Type 1 Diabetes: A Randomized Prospective Pilot Study. Diabetes care, 40(2), dc162173. American Diabetes Association 10.2337/dc16-2173

Rhyner, Daniel Kaspar; Loher, Hannah; Dehais, Joachim Blaise; Anthimopoulos, Marios; Shevchik, Sergey; Botwey, Ransford Henry; Duke, David; Stettler, Christoph; Diem, Peter; Mougiakakou, Stavroula (2016). Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study. Journal of medical internet research, 18(5), e101. Centre of Global eHealth Innovation 10.2196/jmir.5567

Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas Michael; Christe, Andreas; Mougiakakou, Stavroula (2016). Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE transactions on medical imaging, 35(5), pp. 1207-1216. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2016.2535865

Anthimopoulos, Marios; Dehais, Joachim Blaise; Shevchik, Sergey; Botwey, Ransford Henry; Duke, David; Diem, Peter; Mougiakakou, Stavroula (2015). Computer Vision-Based Carbohydrate Estimation for Type 1 Diabetic Patients Using Smartphones. Journal of diabetes science and technology, 9(3), pp. 507-515. Diabetes Technology Society 10.1177/1932296815580159

Agianniotis, Aristotelis; Anthimopoulos, Marios; Daskalaki, Eleni; Drapela, Aurélie; Stettler, Christoph; Diem, Peter; Mougiakakou, Stavroula (2015). GoCARB in the Context of an Artificial Pancreas. Journal of diabetes science and technology, 9(3), pp. 549-555. Diabetes Technology Society 10.1177/1932296815583333

Anthimopoulos, Marios; Christodoulidis, Stergios; Christe, Andreas; Mougiakakou, Stavroula (2014). Classification of interstitial lung disease patterns using local DCT features and random forest. IEEE Engineering in Medicine and Biology Society conference proceedings, 2014, pp. 6040-6043. IEEE Service Center 10.1109/EMBC.2014.6945006

Book Section

Anthimopoulos, Marios; Christodoulidis, Stergios; Christe, Andreas; Mougiakakou, Stavroula (2015). Computer-aided diagnosis of interstitial lung diseases based on CT image analysis. In: Musa, Sarhan M. (ed.) Computational Optical Biomedical Spectroscopy and Imaging (pp. 175-201). CRC Press

Conference or Workshop Item

Allegra, Dario; Anthimopoulos, Marios; Dehais, Joachim Blaise; Lu, Ya; Stanco, Filippo; Farinella, Giovanni Maria; Mougiakakou, Stavroula Georgia (August 2018). A Multimedia Database for Automatic Meal Assessment Systems. In: Battiato, Sebastiano; Farinella, Giovanni Maria; Leo, Marco; Gallo, Giovanni (eds.) 3rd International Workshop on Multimedia Assisted Dietary Management. [New Trends in Image Analysis and Processing – ICIAP 2017 [Abstracts]]. Lecture Notes in Computer Science: Vol. 10590 (pp. 471-478). Springer 10.1007/978-3-319-70742-6_46

Lu, Ya; Allegra, Dario; Anthimopoulos, Marios; Stanco, Filippo; Farinella, Giovanni Maria; Mougiakakou, Stavroula Georgia (15 July 2018). A Multi-Task Learning Approach for Meal Assessment (In Press). In: 4th International Workshop on Multimedia Assisted Dietary Management.

Garcia Garcia, Fernando; Metaxa, Eleni; Christodoulidis, Stergios; Anthimopoulos, Marios; Kontopodis, Nikolaos; Correa-Londoño, Martina; Wyss, Thomas; Papacharilaou, Yiannis; Ioannou, Christos; Von Tengg-Kobligk, Hendrik; Mougiakakou, Stavroula Georgia (2017). Prognosis of abdominal aortic aneurysms: A machine learning-enabled approach merging clinical, morphometric, biomechanical and texture information. In: 30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017 (pp. 463-468). Institute of Electrical and Electronics Engineers 10.1109/CBMS.2017.158

Christe, Andreas; Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas; Mougiakakou, Stavroula (27 November 2016). Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (Unpublished). In: Radiological Society of North America (RSNA). Chicago. 2016.

Anthimopoulos, Marios; Gupta, Sidharta; Arampatzis, Spyridon; Mougiakakou, Stavroula (4 October 2016). Smartphone-based Urine Strip Analysis. In: IEEE International Conference on Imaging Systems and Techniques (IEEE IST2016) (pp. 368-372). IEEE 10.1109/IST.2016.7738253

Christe, Andreas; Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas; Mougiakakou, Stavroula (13 March 2016). Classification of interstitial lung disease patterns of HRCT images using DCT features (Unpublished). In: Society of Thoracic Radiology STR. Scottsdale, USA. 2016.

Dehais, Joachim Blaise; Anthimopoulos, Marios; Mougiakakou, Stavroula (21 August 2015). Dish Detection and Segmentation for Dietary Assessment on Smartphones. In: Murino, Vittorio; Puppo, Enrico; Sona, Diego; Cristani, Marco; Sansone, Carlo (eds.) ICIAP 2015 Workshops. New Trends in Image Analysis and Processing. Lecture Notes in Computer Science: Vol. 9281 (pp. 433-440). Springer 10.1007/978-3-319-23222-5_53

Christodoulidis, Stergios; Anthimopoulos, Marios; Mougiakakou, Stavroula (21 August 2015). Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. In: Murino, Vittorio; Puppo, Enrico; Sona, Diego; Cristani, Marco; Sansone, Carlo (eds.) ICIAP 2015 International Workshops. Lecture Notes in Computer Science: Vol. 9281 (pp. 458-465). Springer 10.1007/978-3-319-23222-5_56

Anthimopoulos, Marios; Dehais, Joachim Blaise; Diem, Peter; Mougiakakou, Stavroula (November 2013). Segmentation and Recognition of Multi-Food Meal Images for Carbohydrate Counting. In: 13th IEEE International Conference on BioInformatics and BioEngineering system (IEEE BIBE2013). Chania, Greece. 10.-13.11.2013.

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