Classification of interstitial lung disease patterns using local DCT features and random forest. - Marios Anthimopoulos; Stergios Christodoulidis; Andreas Christe; Stavroula G. Mougiakakou (EMBC, 2014)

Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. - Stergios Christodoulidis; Marios Anthimopoulos; Stavroula G. Mougiakakou (ICIAP Workshops, 2015)

Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. - Stergios Christodoulidis; Marios Anthimopoulos; Lukas Ebner; Andreas Christe; Stavroula G. Mougiakakou (CoRR, 2016)

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. - Marios Anthimopoulos; Stergios Christodoulidis; Lukas Ebner; Andreas Christe; Stavroula G. Mougiakakou (IEEE Trans. Medical Imaging, 2016)

Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. - 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 (CBMS, 2017)

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis. - Stergios Christodoulidis; Marios Anthimopoulos; Lukas Ebner; Andreas Christe; Stavroula G. Mougiakakou (IEEE J. Biomed. Health Informatics, 2017)

Linear and Deformable Image Registration with 3D Convolutional Neural Networks. - Stergios Christodoulidis; Mihir Sahasrabudhe; Maria Vakalopoulou; Guillaume Chassagnon; Marie-Pierre Revel; Stavroula G. Mougiakakou; Nikos Paragios (RAMBO+BIA+TIA@MICCAI, 2018)

An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. - Ya Lu; Thomai Stathopoulou; Maria F. Vasiloglou; Stergios Christodoulidis; Beat Blum; Thomas Walser; Vinzenz Meier; Zeno Stanga; Stavroula G. Mougiakakou (EMBC, 2019)

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. - Maria Vakalopoulou; Stergios Christodoulidis; Mihir Sahasrabudhe; Stavroula G. Mougiakakou; Nikos Paragios (IGARSS, 2019)

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. - 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 (MICCAI (3), 2019)

Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. - Matthias Fontanellaz; Stergios Christodoulidis; Stavroula G. Mougiakakou (MADiMa @ ACM Multimedia, 2019)

Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks. - Marios Anthimopoulos; Stergios Christodoulidis; Lukas Ebner; Thomas Geiser; Andreas Christe; Stavroula G. Mougiakakou (IEEE J. Biomed. Health Informatics, 2019)

Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. - Mihir Sahasrabudhe; Stergios Christodoulidis; Roberto Salgado; Stefan Michiels; Sherene Loi; Fabrice André; Nikos Paragios; Maria Vakalopoulou (MICCAI (5), 2020)

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. - 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; et al. (CoRR, 2020)

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. - 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; et al. (Frontiers Comput. Neurosci., 2020)

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. - Joseph Boyd; Mykola Liashuha; Eric Deutsch; Nikos Paragios; Stergios Christodoulidis; Maria Vakalopoulou (ICCVW, 2021)

Exploring Deep Registration Latent Spaces. - Théo Estienne; Maria Vakalopoulou; Stergios Christodoulidis; Enzo Battistella; Théophraste Henry; Marvin Lerousseau; Amaury Leroy; Guillaume Chassagnon; Marie-Pierre Revel; Nikos Paragios; Eric Deutsch (DART/FAIR@MICCAI, 2021)

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. - 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; et al. (Medical Image Anal., 2021)

Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning. - Maria Papadomanolaki; Stergios Christodoulidis; Konstantinos Karantzalos; Maria Vakalopoulou (Remote. Sens., 2021)

An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. - Ya Lu; Thomai Stathopoulou; Maria F. Vasiloglou; Stergios Christodoulidis; Zeno Stanga; Stavroula G. Mougiakakou (IEEE Trans. Multim., 2021)

Unsupervised Nuclei Segmentation Using Spatial Organization Priors. - Loïc Le Bescond; Marvin Lerousseau; Ingrid Garberis; Fabrice André; Stergios Christodoulidis; Maria Vakalopoulou; Hugues Talbot (MICCAI (2), 2022)

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. - Joseph Boyd; Irène Villa; Marie-Christine Mathieu; Eric Deutsch; Nikos Paragios; Maria Vakalopoulou; Stergios Christodoulidis (MICCAI (2), 2022)

Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. - Hakim Benkirane; Maria Vakalopoulou; Stergios Christodoulidis; Ingrid-Judith Garberis; Stefan Michiels; Paul-Henry Cournède (ML4H@NeurIPS, 2022)

Artifact Removal in Histopathology Images. - Cameron Dahan; Stergios Christodoulidis; Maria Vakalopoulou; Joseph Boyd (CoRR, 2022)

Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. - Leo Fillioux; Emilie Gontran; Jérôme Cartry; Jacques RR Mathieu; Sabrina Bedja; Alice Boilève; Paul-Henry Cournède; Fanny Jaulin; Stergios Christodoulidis; Maria Vakalopoulou (ICCV (Workshops), 2023)

Structured State Space Models for Multiple Instance Learning in Digital Pathology. - Leo Fillioux; Joseph Boyd; Maria Vakalopoulou; Paul-Henry Cournède; Stergios Christodoulidis (MICCAI (1), 2023)

On the detection of Out-Of-Distribution samples in Multiple Instance Learning. - Loïc Le Bescond; Maria Vakalopoulou; Stergios Christodoulidis; Fabrice André; Hugues Talbot (CoRR, 2023)

ViG-Bias: Visually Grounded Bias Discovery and Mitigation. - Badr-Eddine Marani; Mohamed Hanini; Nihitha Malayarukil; Stergios Christodoulidis; Maria Vakalopoulou; Enzo Ferrante (ECCV (59), 2024)

Diffusion Models for Nuclei Segmentation in Low Data Regimes. - Konstantinos Alexis; Stergios Christodoulidis; Dimitrios Gunopulos; Maria Vakalopoulou (ISBI, 2024)

Preface for International Conference on Medical Imaging with Deep Learning 2024. - Ninon Burgos; Caroline Petitjean; Maria Vakalopoulou; Stergios Christodoulidis; Pierrick Coupé; Hervé Delingette; Carole Lartizien; Diana Mateus (MIDL, 2024)

Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation. - 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; et al. (IEEE Access, 2024)

Are foundation models for computer vision good conformal predictors? - Leo Fillioux; Julio Silva-Rodríguez; Ismail Ben Ayed; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Jose Dolz (CoRR, 2024)

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation. - Pablo Morales-Álvarez; Stergios Christodoulidis; Maria Vakalopoulou; Pablo Piantanida; Jose Dolz (CoRR, 2024)

Full Conformal Adaptation of Medical Vision-Language Models. - Julio Silva-Rodríguez; Leo Fillioux; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Ismail Ben Ayed; Jose Dolz (IPMI (2), 2025)

CDG-MAE: Learning Correspondences from Diffusion Generated Views. - Varun Belagali; Pierre Marza; Srikar Yellapragada; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Joel H. Saltz; Stergios Christodoulidis; Maria Vakalopoulou; Dimitris Samaras (CoRR, 2025)

THUNDER: Tile-level Histopathology image UNDERstanding benchmark. - Pierre Marza; Leo Fillioux; Sofiène Boutaj; Kunal Mahatha; Christian Desrosiers; Pablo Piantanida; Jose Dolz; Stergios Christodoulidis; Maria Vakalopoulou (CoRR, 2025)

SGPMIL: Sparse Gaussian Process Multiple Instance Learning. - Andreas Lolos; Stergios Christodoulidis; Maria Vakalopoulou; Jose Dolz; Aris Moustakas (CoRR, 2025)

Fairness and Robustness of CLIP-Based Models for Chest X-rays. - Théo Sourget; David Restrepo; Céline Hudelot; Enzo Ferrante; Stergios Christodoulidis; Maria Vakalopoulou (CoRR, 2025)

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI. - David Restrepo; Sofia Ira Ktena; Maria Vakalopoulou; Stergios Christodoulidis; Enzo Ferrante (CoRR, 2025)

Controllable Latent Space Augmentation for Digital Pathology. - Sofiène Boutaj; Marin Scalbert; Pierre Marza; Florent Couzinie-Devy; Maria Vakalopoulou; Stergios Christodoulidis (CoRR, 2025)