Christodoulidis, Stergios

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2018

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

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

2017

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

2016

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 Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (Unpublished).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 Classification of interstitial lung disease patterns of HRCT images using DCT features (Unpublished).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

2015

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

2014

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

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