Stergios Christodoulidis

70 papers B 1C 2Journal 45Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are foundation models for computer vision good conformal predictors? Trans. Mach. Learn. Res. Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	BayesAdapter: Enhanced Uncertainty Estimation in CLIP Few-Shot Adaptation. Int. J. Comput. Vis. Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz
2026	J	`jnl`	Class Adaptive Conformal Training. CoRR Badr-Eddine Marani, Julio Silva-Rodríguez, Ismail Ben Ayed, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	Information Maximization for Long-Tailed Semi-Supervised Domain Generalization. CoRR Leo Fillioux, Omprakash Chakraborty, Quentin Gopée, Pierre Marza, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Ismail Ben Ayed, Jose Dolz
2026	J	`jnl`	Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision. CoRR Nicolás Gaggion, María-Jesus Ledesma-Carbayo, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2026	J	`jnl`	OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection. CoRR Kunal Mahatha, Ali Bahri, Pierre Marza, Sahar Dastani, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz, Christian Desrosiers
2026	J	`jnl`	On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings. CoRR David S. Restrepo, Miguel L. Martins, Chenwei Wu, Luis Filipe Nakayama, Diego M. Lopez, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2026	J	`jnl`	SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning. CoRR Leo Fillioux, Omprakash Chakraborty, Ismail Ben Ayed, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz
2025	J	`jnl`	CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning. CoRR Andreas Lolos, Theofilos Christodoulou, Aris L. Moustakas, Stergios Christodoulidis, Maria Vakalopoulou
2025	J	`jnl`	CDG-MAE: Learning Correspondences from Diffusion Generated Views. CoRR Varun Belagali, Pierre Marza, Srikar Yellapragada, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2025	—	`conf`	Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data. MICCAI (15) Nabil Mouadden, Othmane Laousy, Rafael Marini, Valentin Ong, Marie-Pierre Revel, Guillaume Chassagnon, Stergios Christodoulidis, Maria Vakalopoulou
2025	J	`jnl`	Controllable Latent Space Augmentation for Digital Pathology. CoRR Sofiène Boutaj, Marin Scalbert, Pierre Marza, Florent Couzinie-Devy, Maria Vakalopoulou, Stergios Christodoulidis
2025	—	`conf`	Fairness and Robustness of CLIP-Based Models for Chest X-Rays. FAIMI@MICCAI Théo Sourget, David S. Restrepo, Céline Hudelot, Enzo Ferrante, Stergios Christodoulidis, Maria Vakalopoulou
2025	J	`jnl`	Fairness and Robustness of CLIP-Based Models for Chest X-rays. CoRR Théo Sourget, David S. Restrepo, Céline Hudelot, Enzo Ferrante, Stergios Christodoulidis, Maria Vakalopoulou
2025	—	`conf`	Full Conformal Adaptation of Medical Vision-Language Models. IPMI (2) Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Full Conformal Adaptation of Medical Vision-Language Models. CoRR Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	C	`conf`	Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights. BIBE Daphne Tsolissou, Theofanis Ganitidis, Konstantinos Mitsis, Stergios Christodoulidis, Maria Vakalopoulou, Konstantina S. Nikita
2025	J	`jnl`	Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights. CoRR Daphne Tsolissou, Theofanis Ganitidis, Konstantinos Mitsis, Stergios Christodoulidis, Maria Vakalopoulou, Konstantina S. Nikita
2025	—	`conf`	On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI. Agentic AI/CREATE/Clinical MLLMs@MICCAI David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Ferrante
2025	J	`jnl`	On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI. CoRR David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Ferrante
2025	J	`jnl`	PVeRA: Probabilistic Vector-Based Random Matrix Adaptation. CoRR Leo Fillioux, Enzo Ferrante, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis
2025	J	`jnl`	SGPMIL: Sparse Gaussian Process Multiple Instance Learning. CoRR Andreas Lolos, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz, Aris L. Moustakas
2025	J	`jnl`	THUNDER: Tile-level Histopathology image UNDERstanding benchmark. CoRR Pierre Marza, Leo Fillioux, Sofiène Boutaj, Kunal Mahatha, Christian Desrosiers, Pablo Piantanida, Jose Dolz, Stergios Christodoulidis, Maria Vakalopoulou
2025	J	`jnl`	TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning. CoRR Varun Belagali, Saarthak Kapse, Pierre Marza, Srijan Das, Zilinghan Li, Sofiène Boutaj, Pushpak Pati, Srikar Yellapragada, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Prateek Prasanna, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2024	J	`jnl`	Are foundation models for computer vision good conformal predictors? CoRR Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2024	J	`jnl`	BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation. CoRR Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz
2024	J	`jnl`	Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation. IEEE Access 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 K. Exadaktylos, Lukas Ebner, Stavroula G. Mougiakakou
2024	—	`conf`	Diffusion Models for Nuclei Segmentation in Low Data Regimes. ISBI Konstantinos Alexis, Stergios Christodoulidis, Dimitrios Gunopulos, Maria Vakalopoulou
2024	—	`ed.`	Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	—	`conf`	Preface for International Conference on Medical Imaging with Deep Learning 2024. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	—	`conf`	ViG-Bias: Visually Grounded Bias Discovery and Mitigation. ECCV (59) Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2024	J	`jnl`	ViG-Bias: Visually Grounded Bias Discovery and Mitigation. CoRR Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
2023	J	`jnl`	On the detection of Out-Of-Distribution samples in Multiple Instance Learning. CoRR Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, Fabrice André, Hugues Talbot
2023	—	`conf`	Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. ICCV (Workshops) Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
2023	J	`jnl`	Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. CoRR Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
2023	—	`conf`	Structured State Space Models for Multiple Instance Learning in Digital Pathology. MICCAI (1) Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
2023	J	`jnl`	Structured State Space Models for Multiple Instance Learning in Digital Pathology. CoRR Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
2022	J	`jnl`	Artifact Removal in Histopathology Images. CoRR Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, Joseph Boyd
2022	—	`conf`	Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède
2022	—	`conf`	Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. MICCAI (2) Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
2022	J	`jnl`	Region-guided CycleGANs for Stain Transfer in Whole Slide Images. CoRR Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
2022	—	`conf`	Unsupervised Nuclei Segmentation Using Spatial Organization Priors. MICCAI (2) Loïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot
2021	J	`jnl`	AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 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
2021	J	`jnl`	An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE Trans. Multim. Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou
2021	—	`conf`	Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
2021	J	`jnl`	Exploring Deep Registration Latent Spaces. CoRR Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
2021	—	`conf`	Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
2021	J	`jnl`	Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
2021	J	`jnl`	Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning. Remote. Sens. Maria Papadomanolaki, Stergios Christodoulidis, Konstantinos Karantzalos, Maria Vakalopoulou
2020	J	`jnl`	AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR 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
2020	J	`jnl`	An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. CoRR Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou
2020	J	`jnl`	Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 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
2020	J	`jnl`	Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
2020	—	`conf`	Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
2019	—	`conf`	An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. EMBC Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou
2019	J	`jnl`	An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. CoRR Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou
2019	C	`conf`	Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
2019	—	`conf`	Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. MADiMa @ ACM Multimedia Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou
2019	J	`jnl`	Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. CoRR Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou
2019	J	`jnl`	Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks. IEEE J. Biomed. Health Informatics Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou
2019	—	`conf`	U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) 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
2018	—	`conf`	Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018	J	`jnl`	Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018	J	`jnl`	Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks. CoRR Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou
2017	J	`jnl`	Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis. IEEE J. Biomed. Health Informatics Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
2017	B	`conf`	Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. CBMS 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
2016	J	`jnl`	Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE Trans. Medical Imaging Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
2016	J	`jnl`	Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. CoRR Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
2015	—	`conf`	Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. ICIAP Workshops Stergios Christodoulidis, Marios Anthimopoulos, Stavroula G. Mougiakakou
2014	—	`conf`	Classification of interstitial lung disease patterns using local DCT features and random forest. EMBC Marios Anthimopoulos, Stergios Christodoulidis, Andreas Christe, Stavroula G. Mougiakakou