| Lung pattern classification for interstitial lung diseases using a deep convolutional neural network M Anthimopoulos, S Christodoulidis, L Ebner, A Christe, S Mougiakakou IEEE transactions on medical imaging 35 (5), 1207-1216, 2016 | 1401 | 2016 |
| Multisource transfer learning with convolutional neural networks for lung pattern analysis S Christodoulidis, M Anthimopoulos, L Ebner, A Christe, S Mougiakakou IEEE journal of biomedical and health informatics 21 (1), 76-84, 2016 | 323 | 2016 |
| AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia G Chassagnon, M Vakalopoulou, E Battistella, S Christodoulidis, ... Medical image analysis 67, 101860, 2021 | 179* | 2021 |
| Semantic segmentation of pathological lung tissue with dilated fully convolutional networks M Anthimopoulos, S Christodoulidis, L Ebner, T Geiser, A Christe, ... IEEE journal of biomedical and health informatics 23 (2), 714-722, 2018 | 160 | 2018 |
| Computer-aided diagnosis of pulmonary fibrosis using deep learning and CT images A Christe, AA Peters, D Drakopoulos, JT Heverhagen, T Geiser, ... Investigative radiology 54 (10), 627-632, 2019 | 120 | 2019 |
| Food recognition for dietary assessment using deep convolutional neural networks S Christodoulidis, M Anthimopoulos, S Mougiakakou New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015 | 99 | 2015 |
| Intestinal microbiota influences clinical outcome and side effects of early breast cancer treatment S Terrisse, L Derosa, V Iebba, F Ghiringhelli, I Vaz-Luis, G Kroemer, ... Cell Death & Differentiation 28 (9), 2778-2796, 2021 | 86 | 2021 |
| Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial F Mosele, E Deluche, A Lusque, L Le Bescond, T Filleron, Y Pradat, ... Nature medicine 29 (8), 2110-2120, 2023 | 62 | 2023 |
| U-ReSNet: Ultimate coupling of registration and segmentation with deep nets T Estienne, M Vakalopoulou, S Christodoulidis, E Battistela, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 61 | 2019 |
| Linear and deformable image registration with 3d convolutional neural networks C Stergios, S Mihir, V Maria, C Guillaume, R Marie-Pierre, M Stavroula, ... Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018 | 58 | 2018 |
| Classification of interstitial lung disease patterns using local DCT features and random forest M Anthimopoulos, S Christodoulidis, A Christe, S Mougiakakou 2014 36th annual international conference of the IEEE engineering in …, 2014 | 58 | 2014 |
| What healthcare professionals think of “nutrition & diet” apps: an international survey MF Vasiloglou, S Christodoulidis, E Reber, T Stathopoulou, Y Lu, ... Nutrients 12 (8), 2214, 2020 | 55 | 2020 |
| An artificial intelligence-based system to assess nutrient intake for hospitalised patients Y Lu, T Stathopoulou, MF Vasiloglou, S Christodoulidis, Z Stanga, ... IEEE transactions on multimedia 23, 1136-1147, 2020 | 52 | 2020 |
| Deep learning-based concurrent brain registration and tumor segmentation T Estienne, M Lerousseau, M Vakalopoulou, E Alvarez Andres, ... Frontiers in computational neuroscience 14, 17, 2020 | 50 | 2020 |
| Self-supervised nuclei segmentation in histopathological images using attention M Sahasrabudhe, S Christodoulidis, R Salgado, S Michiels, S Loi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 50 | 2020 |
| Self-supervised representation learning using visual field expansion on digital pathology J Boyd, M Liashuha, E Deutsch, N Paragios, S Christodoulidis, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 639-647, 2021 | 32 | 2021 |
| Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP) L Ebner, S Christodoulidis, T Stathopoulou, T Geiser, O Stalder, ... PLoS One 15 (1), e0226084, 2020 | 32 | 2020 |
| Perspectives and preferences of adult smartphone users regarding nutrition and diet apps: web-based survey study MF Vasiloglou, S Christodoulidis, E Reber, T Stathopoulou, Y Lu, ... JMIR mHealth and uHealth 9 (7), e27885, 2021 | 25 | 2021 |
| Unsupervised multistep deformable registration of remote sensing imagery based on deep learning M Papadomanolaki, S Christodoulidis, K Karantzalos, M Vakalopoulou Remote Sensing 13 (7), 1294, 2021 | 20 | 2021 |
| An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients* Y Lu, T Stathopoulou, MF Vasiloglou, S Christodoulidis, B Blum, T Walser, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 19 | 2019 |
Stavroula MougiakakouUniversity of BernVerified email at unibe.ch
