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Klaus, Jeremias B; Christodoulidis, Stergios; Peters, Alan A; Hourscht, Cynthia; Loebelenz, Laura I; Munz, Jaro; Schroeder, Christophe; Sieron, Dominik; Drakopoulos, Dionysios; Stadler, Severin; Heverhagen, Johannes T; Prosch, Helmut; Huber, Adrian; Pohl, Moritz; Mougiakakou, Stavroula; Christe, Andreas; Ebner, Lukas (2023). Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT. RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 195(1), pp. 47-54. Thieme 10.1055/a-1901-7814
Vasiloglou, Maria F.; Christodoulidis, Stergios; Reber, Emilie; Stathopoulou, Thomai; Lu, Ya; Stanga, Zeno; Mougiakakou, Stavroula (2021). Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mHealth and uHealth, 9(7), e27885. JMIR Publications 10.2196/27885
Vasiloglou, Maria F.; Christodoulidis, Stergios; Reber, Emilie; Stathopoulou, Thomai; Lu, Ya; Stanga, Zeno; Mougiakakou, Stavroula (2020). What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey. Nutrients, 12(8) MDPI 10.3390/nu12082214
Lu, Ya; Stathopoulou, Thomai; Vasiloglou, Maria F.; Christodoulidis, Stergios; Stanga, Zeno; Mougiakakou, Stavroula (2020). An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE transactions on multimedia, 2019, pp. 5696-5699. Institute of Electrical and Electronics Engineers 10.1109/TMM.2020.2993948
Ebner, Lukas; Christodoulidis, Stergios; Stathopoulou, Thomai; Geiser, Thomas; Stalder, Odile; Limacher, Andreas; Heverhagen, Johannes; Mougiakakou, Stavroula; Christe, Andreas (2020). Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP). PLoS ONE, 15(1), e0226084. Public Library of Science 10.1371/journal.pone.0226084
Christe, Andreas; Stathopoulou, T.; Mougiakakou, S.; Christodoulidis, S.; Ebner, L. (2020). Automated Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images. American journal of respiratory and critical care medicine, 201(A2558), A2558-A2558. American Lung Association 10.1164/ajrccm-conference.2020.201.1_MeetingAbstracts.A2558
Vakalopoulou, Maria; Christodoulidis, Stergios; Sahasrabudhe, Mihir; Mougiakakou, Stavroula; Paragios, Nikos (14 November 2019). Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 4939-4942). IEEE 10.1109/IGARSS.2019.8898220
Fontanellaz, Matthias; Christodoulidis, Stergios; Mougiakakou, Stavroula (21 October 2019). Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. In: 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa '19) (pp. 25-31). New York: ACM 10.1145/3347448.3357163
Estienne, Théo; Vakalopoulou, Maria; Christodoulidis, Stergios; Battistela, Enzo; Lerousseau, Marvin; Carre, Alexandre; Klausner, Guillaume; Sun, Roger; Robert, Charlotte; Mougiakakou, Stavroula; Paragios, Nikos; Deutsch, Eric (10 October 2019). U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science: Vol. 11766 (pp. 310-319). Springer, Cham 10.1007/978-3-030-32248-9_35
Lu, Ya; Stathopoulou, Thomai; Vasiloglou, Maria; Christodoulidis, Stergios; Blum, Beat; Walser, Thomas; Vinzenz, Meier; Stanga, Zeno; Mougiakakou, Stavroula (26 July 2019). An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients (In Press). In: 41st International Engineering in Medicine and Biology Conference (IEEE EMBC2019). Berlin. 23-27/07/2019.
Christe, Andreas; Peters, Alan Arthur; Drakopoulos, Dionysios; Heverhagen, Johannes; Geiser, Thomas; Stathopoulou, Thomai; Christodoulidis, Stergios; Anthimopoulos, Marios; Mougiakakou, Stavroula; Ebner, Lukas (2019). Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images. Investigative radiology, 54(10), pp. 627-632. Wolters Kluwer Health 10.1097/RLI.0000000000000574
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
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
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
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.
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.
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
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; 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
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
