Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data. - Maria Vakalopoulou; Konstantinos Karantzalos (Remote. Sens., 2014)

Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. - Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Komodakis; Nikos Paragios (CVPR Workshops, 2015)

Building detection in very high resolution multispectral data with deep learning features. - Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Komodakis; Nikos Paragios (IGARSS, 2015)

Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. - Maria Vakalopoulou; C. Platias; Maria Papadomanolaki; Nikos Paragios; Konstantinos Karantzalos (IGARSS, 2016)

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. - Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Komodakis; Nikos Paragios (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Integrating edge/boundary priors with classification scores for building detection in very high resolution data. - Maria Vakalopoulou; Norbert Bus; Konstantinos Karantzalos; Nikos Paragios (IGARSS, 2017)

Patch-based deep learning architectures for sparse annotated very high resolution datasets. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (JURSE, 2017)

Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning. - Theodosia Vardoulaki; Maria Vakalopoulou; Konstantinos Karantzalos (JURSE, 2017)

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. - Lichao Mou; Xiaoxiang Zhu 001; Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Paragios; Bertrand Le Saux; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. - Maria Papadomanolaki; Maria Vakalopoulou; Nikos Paragios; Konstantinos Karantzalos (IGARSS, 2018)

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. - Maria Vakalopoulou; Guillaume Chassagnon; Nikos Paragios; Marie-Pierre Revel; Evangelia I. Zacharaki (ISBI, 2018)

Context Aware 3D CNNs for Brain Tumor Segmentation. - Siddhartha Chandra; Maria Vakalopoulou; Lucas Fidon; Enzo Battistella; Théo Estienne; Roger Sun; Charlotte Robert; Eric Deutsch; Nikos Paragios (BrainLes@MICCAI (2), 2018)

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)

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. - Maria Vakalopoulou; Guillaume Chassagnon; Norbert Bus; Rafael Marini; Evangelia I. Zacharaki; Marie-Pierre Revel; Nikos Paragios (MICCAI (4), 2018)

Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover. - Christina Karakizi; Konstantinos Karantzalos; Maria Vakalopoulou; Georgia Antoniou (Remote. Sens., 2018)

A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery. - Maria Papadomanolaki; Konstantinos Karantzalos; Maria Vakalopoulou (IGARSS, 2019)

Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. - Maria Papadomanolaki; Sagar Verma; Maria Vakalopoulou; Siddharth Gupta 006; Konstantinos Karantzalos (IGARSS, 2019)

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

Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. - Enzo Battistella; Maria Vakalopoulou; Théo Estienne; Marvin Lerousseau; Roger Sun; Charlotte Robert; Nikos Paragios; Eric Deutsch (IWBBIO (1), 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)

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (Remote. Sens., 2019)

Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. - Théo Estienne; Maria Vakalopoulou; Enzo Battistella; Alexandre Carré; Théophraste Henry; Marvin Lerousseau; Charlotte Robert; Nikos Paragios; Eric Deutsch (MICCAI (Challenges), 2020)

Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. - Marvin Lerousseau; Maria Vakalopoulou; Marion Classe; Julien Adam; Enzo Battistella; Alexandre Carré; Théo Estienne; Théophraste Henry; Eric Deutsch; Nikos Paragios (MICCAI (5), 2020)

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)

Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization. - Marin Scalbert; Florent Couzinié-Devy; Maria Vakalopoulou (BMVC, 2021)

SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. - Marvin Lerousseau; Maria Vakalopoulou; Eric Deutsch; Nikos Paragios (COMPAY@MICCAI, 2021)

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. - Jingwei Zhang; Ke Ma 005; John S. Van Arnam; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (CVPR Workshops, 2021)

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)

3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri. - Léo Milecki; Sylvain Bodard; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (ISBI, 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)

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. - Othmane Laousy; Guillaume Chassagnon; Edouard Oyallon; Nikos Paragios; Marie-Pierre Revel; Maria Vakalopoulou (MLMI@MICCAI, 2021)

Weakly Supervised Pan-Cancer Segmentation Tool. - Marvin Lerousseau; Marion Classe; Enzo Battistella; Théo Estienne; Théophraste Henry; Amaury Leroy; Roger Sun; Maria Vakalopoulou; Jean-Yves Scoazec; Eric Deutsch; Nikos Paragios (MICCAI (8), 2021)

High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. - Sonia Martinot; Norbert Bus; Maria Vakalopoulou; Charlotte Robert; Eric Deutsch; Nikos Paragios (MICCAI (4), 2021)

Cancer Gene Profiling through Unsupervised Discovery. - Enzo Battistella; Maria Vakalopoulou; Roger Sun; Théo Estienne; Marvin Lerousseau; Sergey Nikolaev; Emilie Alvarez Andres; Alexandre Carré; Stéphane Niyoteka; Charlotte Robert; Nikos Paragios; Eric Deutsch (CoRR, 2021)

Sparse convolutional context-aware multiple instance learning for whole slide image classification. - Marvin Lerousseau; Maria Vakalopoulou; Nikos Paragios; Eric Deutsch (CoRR, 2021)

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. - Théo Estienne; Maria Vakalopoulou; Enzo Battistella; Théophraste Henry; Marvin Lerousseau; Amaury Leroy; Nikos Paragios; Eric Deutsch (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 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)

A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. - Mihir Sahasrabudhe; Pierre Sujobert; Evangelia I. Zacharaki; Eugénie Maurin; Béatrice Grange; Laurent Jallades; Nikos Paragios; Maria Vakalopoulou (IEEE J. Biomed. Health Informatics, 2021)

Deep Learning based Multistep Registration Focusing on Regions of Change. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (IGARSS, 2022)

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)

Contrastive Masked Transformers for Forecasting Renal Transplant Function. - Léo Milecki; Vicky Kalogeiton; Sylvain Bodard; Dany Anglicheau; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (MICCAI (8), 2022)

Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology. - Marin Scalbert; Maria Vakalopoulou; Florent Couzinié-Devy (MICCAI (2), 2022)

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. - Jingwei Zhang; Xin Zhang; Ke Ma 005; Rajarsi Gupta 001; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (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)

COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. - Enzo Battistella; Maria Vakalopoulou; Roger Sun; Théo Estienne; Marvin Lerousseau; Sergey Nikolaev; Emilie Alvarez Andres; Alexandre Carré; Stéphane Niyoteka; Charlotte Robert; Nikos Paragios; Eric Deutsch (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

Have Foundational Models Seen Satellite Images? - Akash Panigrahi; Sagar Verma; Matthieu Terris; Maria Vakalopoulou (IGARSS, 2023)

Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. - Sonia Martinot; Nikos Komodakis; Maria Vakalopoulou; Norbert Bus; Charlotte Robert; Eric Deutsch; Nikos Paragios (IPMI, 2023)

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. - Jingwei Zhang; Saarthak Kapse; Ke Ma 005; Prateek Prasanna; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras (IPMI, 2023)

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. - Nicolás Gaggion; Maria Vakalopoulou; Diego H. Milone; Enzo Ferrante (ISBI, 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)

Certification of Deep Learning Models for Medical Image Segmentation. - Othmane Laousy; Alexandre Araujo; Guillaume Chassagnon; Nikos Paragios; Marie-Pierre Revel; Maria Vakalopoulou (MICCAI (4), 2023)

Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. - Jingwei Zhang; Saarthak Kapse; Ke Ma 005; Prateek Prasanna; Joel H. Saltz; Maria Vakalopoulou; Dimitris Samaras (MICCAI (8), 2023)

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. - Jingwei Zhang; Ke Ma 005; Saarthak Kapse; Joel H. Saltz; Maria Vakalopoulou; Prateek Prasanna; Dimitris Samaras (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning. - Léo Milecki; Vicky Kalogeiton; Sylvain Bodard; Dany Anglicheau; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (MIDL, 2023)

Towards better certified segmentation via diffusion models. - Othmane Laousy; Alexandre Araujo; Guillaume Chassagnon; Marie-Pierre Revel; Siddharth Garg; Farshad Khorrami; Maria Vakalopoulou (UAI, 2023)

Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization. - Marin Scalbert; Maria Vakalopoulou; Florent Couzinié-Devy (CoRR, 2023)

MEDIMP: Medical Images and Prompts for renal transplant representation learning. - Léo Milecki; Vicky Kalogeiton; Sylvain Bodard; Dany Anglicheau; Jean-Michel Correas; Marc-Olivier Timsit; Maria Vakalopoulou (CoRR, 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)

Data-Centric Machine Learning for Geospatial Remote Sensing Data. - Ribana Roscher; Marc Rußwurm; Caroline Gevaert; Michael Kampffmeyer; Jefersson A. dos Santos; Maria Vakalopoulou; Ronny Hänsch; Stine Hansen; Keiller Nogueira; Jonathan Prexl; Devis Tuia (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. - Saarthak Kapse; Pushpak Pati; Srijan Das; Jingwei Zhang; Chao Chen 012; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras; Rajarsi R. Gupta; Prateek Prasanna (CVPR, 2024)

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

Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning. - Inês Lopes; Maria Vakalopoulou; Enzo Ferrante; Diogo Libânio; Mário Dinis-Ribeiro; Miguel Tavares Coimbra; Francesco Renna (EMBC, 2024)

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization. - Marin Scalbert; Maria Vakalopoulou; Florent Couzinie-Devy (ICLR, 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)

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. - Julie Mordacq; Léo Milecki; Maria Vakalopoulou; Steve Oudot; Vicky Kalogeiton (MIDL, 2024)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. - Théo Moutakanni; Maxime Oquab; Marc Szafraniec; Maria Vakalopoulou; Piotr Bojanowski (NeurIPS, 2024)

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. - Théo Moutakanni; Piotr Bojanowski; Guillaume Chassagnon; Céline Hudelot; Armand Joulin; Yann LeCun; Matthew J. Muckley; Maxime Oquab; Marie-Pierre Revel; Maria Vakalopoulou (CoRR, 2024)

You Don't Need Data-Augmentation in Self-Supervised Learning. - Théo Moutakanni; Maxime Oquab; Marc Szafraniec; Maria Vakalopoulou; Piotr Bojanowski (CoRR, 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)

GHOST: Graph-based higher-order similarity transformation for classification. - Enzo Battistella; Maria Vakalopoulou; Nikos Paragios; Eric Deutsch (Pattern Recognit., 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)

Conditional Latent Diffusion Models for Irregularly Spaced Longitudinal Radiological Data. - Nabil Mouadden; Othmane Laousy; Rafael Marini; Valentin Ong; Marie-Pierre Revel; Guillaume Chassagnon; Stergios Christodoulidis; Maria Vakalopoulou (MICCAI (15), 2025)

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

Fairness and Robustness of CLIP-Based Models for Chest X-Rays. - Théo Sourget; David S. Restrepo; Céline Hudelot; Enzo Ferrante; Stergios Christodoulidis; Maria Vakalopoulou (FAIMI@MICCAI, 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)

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

Representation Learning in PET Scans Enhanced by Semantic and 3D Position Specific Characteristics. - Theodoros P. Vagenas; Maria Vakalopoulou; Christos Sachpekidis; Antonia Dimitrakopoulou-Strauss; George K. Matsopoulos (IEEE Trans. Medical Imaging, 2025)

Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights. - Daphne Tsolissou; Theofanis Ganitidis; Konstantinos Mitsis; Stergios CHristodoulidis; Maria Vakalopoulou; Konstantina S. Nikita (CoRR, 2025)