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ORCIDStergios Christodoulidis
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2020 – today
- 2024
[j8]Matthias Fontanellaz
, Andreas Christe, Stergios Christodoulidis, Ethan Dack, Justus Roos, D. Drakopoulos, D. Sieron, Alan Peters, Thomas Geiser, Manuela Funke-Chambour, J. Heverhagen, Hanno Hoppe, Aristomenis Exadaktylos, Lukas Ebner, Stavroula G. Mougiakakou:
Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation. IEEE Access 12: 25642-25656 (2024)- [c17]Konstantinos Alexis, Stergios Christodoulidis, Dimitrios Gunopulos, Maria Vakalopoulou:
Diffusion Models for Nuclei Segmentation in Low Data Regimes. ISBI 2024: 1-5 - [i16]Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante:
ViG-Bias: Visually Grounded Bias Discovery and Mitigation. CoRR abs/2407.01996 (2024) - 2023
- [c16]Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou:
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. ICCV (Workshops) 2023: 3932-3941 - [c15]Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis:
Structured State Space Models for Multiple Instance Learning in Digital Pathology. MICCAI (1) 2023: 594-604 - [i15]Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis:
Structured State Space Models for Multiple Instance Learning in Digital Pathology. CoRR abs/2306.15789 (2023) - [i14]Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou:
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. CoRR abs/2308.14461 (2023) - [i13]Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, Fabrice André, Hugues Talbot:
On the detection of Out-Of-Distribution samples in Multiple Instance Learning. CoRR abs/2309.05528 (2023) - 2022
- [c14]Loïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot:
Unsupervised Nuclei Segmentation Using Spatial Organization Priors. MICCAI (2) 2022: 325-335 - [c13]Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis:
Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. MICCAI (2) 2022: 356-365 - [c12]Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède:
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS 2022: 405-418 - [i12]Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis:
Region-guided CycleGANs for Stain Transfer in Whole Slide Images. CoRR abs/2208.12847 (2022) - [i11]Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, Joseph Boyd:
Artifact Removal in Histopathology Images. CoRR abs/2211.16161 (2022) - 2021
- [j7]Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Nikos Paragios:
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 67: 101860 (2021) - [j6]Maria Papadomanolaki, Stergios Christodoulidis, Konstantinos Karantzalos, Maria Vakalopoulou:
Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning. Remote. Sens. 13(7): 1294 (2021) - [j5]Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou:
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE Trans. Multim. 23: 1136-1147 (2021) - [c11]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW 2021: 639-647 - [c10]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch:
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI 2021: 112-122 - [i10]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch:
Exploring Deep Registration Latent Spaces. CoRR abs/2107.11238 (2021) - [i9]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR abs/2109.03299 (2021) - 2020
- [j4]Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch:
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14: 17 (2020) - [c9]Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou:
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) 2020: 393-402 - [i8]Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou:
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. CoRR abs/2003.08273 (2020) - [i7]Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valérie Bousson, Marie-Pierre Revel, Nikos Paragios:
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR abs/2004.12852 (2020) - [i6]Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou:
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR abs/2007.08373 (2020)
2010 – 2019
- 2019
- [j3]Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou:
Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks. IEEE J. Biomed. Health Informatics 23(2): 714-722 (2019) - [c8]Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou:
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. EMBC 2019: 5696-5699 - [c7]Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios:
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS 2019: 4939-4942 - [c6]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula G. Mougiakakou, Nikos Paragios, Eric Deutsch:
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) 2019: 310-319 - [c5]Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou:
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. MADiMa @ ACM Multimedia 2019: 25-31 - [i5]Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou:
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. CoRR abs/1906.02990 (2019) - [i4]Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou:
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. CoRR abs/1911.01770 (2019) - 2018
- [c4]Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios:
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI 2018: 13-22 - [i3]Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou:
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks. CoRR abs/1803.06167 (2018) - [i2]Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios:
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR abs/1809.06226 (2018) - 2017
- [j2]Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou:
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis. IEEE J. Biomed. Health Informatics 21(1): 76-84 (2017) - [c3]Fernando García-García, Eleni Metaxa, Stergios Christodoulidis, Marios Anthimopoulos, Nikolaos Kontopodis, Martina Correa-Londono, Thomas R. Wyss, Yannis Papaharilaou, Christos V. Ioannou, Hendrik von Tengg-Kobligk, Stavroula G. Mougiakakou:
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. CBMS 2017: 463-468 - 2016
- [j1]Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou:
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE Trans. Medical Imaging 35(5): 1207-1216 (2016) - [i1]Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou:
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. CoRR abs/1612.02589 (2016) - 2015
- [c2]Stergios Christodoulidis, Marios Anthimopoulos, Stavroula G. Mougiakakou:
Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. ICIAP Workshops 2015: 458-465 - 2014
- [c1]Marios Anthimopoulos, Stergios Christodoulidis, Andreas Christe, Stavroula G. Mougiakakou:
Classification of interstitial lung disease patterns using local DCT features and random forest. EMBC 2014: 6040-6043
Coauthor Index
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