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Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas; Geiser, Thomas; Christe, Andreas; Mougiakakou, Stavroula Georgia (2019). Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks. IEEE journal of biomedical and health informatics, 23(2), pp. 714-722. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2018.2818620
Vasiloglou, Maria; Mougiakakou, Stavroula Georgia; Aubry, Emilie; Bokelmann, Anika; Fricker, Rita; Gomes, Filomena; Guntermann, Cathrin; Meyer, Alexa; Studerus, Diana; Stanga, Zeno (2018). A Comparative Study on Carbohydrate Estimation: GoCARB vs. Dietitians. Nutrients, 10(6), p. 741. MDPI 10.3390/nu10060741
Christodoulidis, Stergios; Sahasrabudhe, Mihir; Vakalopoulou, Maria; Chassagnon, Guillaume; Revel, Marie-Pierre; Mougiakakou, Stavroula Georgia; Paragios, Nikos (September 2018). Linear and Deformable Image Registration with 3D Convolutional Neural Networks. In: 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2018). Lecture Notes in Computer Science: Vol. 11040 (pp. 13-22). Springer, Cham 10.1007/978-3-030-00946-5_2
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.
Sun, Qingnan; Jankovic, Marko; Bally, Lia; Mougiakakou, Stavroula Georgia (2018). Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network (In Press). In: 2018 14th IEEE Symposium on Neural Networks and Applications (NEUREL) - IEEE Neurel2018. Institute of Electrical and Electronics Engineers
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
