Maria Vakalopoulou

136 papers A* 3A 2C 11Journal 75Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A High-Level Survey of Optical Remote Sensing. CoRR Panagiotis Koletsis, Vasilis Efthymiou, Maria Vakalopoulou, Nikos Komodakis, Anastasios Doulamis, Georgios Th. Papadopoulos
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`	GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection. CoRR Aggelos Psiris, Yannis Panagakis, Maria Vakalopoulou, Georgios Th. Papadopoulos
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`	Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning. CoRR Konstantinos Barmpounakis, Theodoros P. Vagenas, Maria Vakalopoulou, George K. Matsopoulos
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	C	`conf`	Benchmarking Radiomics-Based Machine Learning Pipelines for Clinically Significant Prostate Cancer Detection. BIBE Dimitrios Samaras, Georgios Agrotis, Maria Vakalopoulou, A. Vassiou, Marianna Vlychou, Ioannis Tsougos
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	J	`jnl`	Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. PLoS Comput. Biol. Hakim Benkirane, Maria Vakalopoulou, David Planchard, Julien Adam, Ken Olaussen, Stefan Michiels, Paul-Henry Cournède
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`	Representation Learning in PET Scans Enhanced by Semantic and 3D Position Specific Characteristics. IEEE Trans. Medical Imaging Theodoros P. Vagenas, Maria Vakalopoulou, Christos Sachpekidis, Antonia Dimitrakopoulou-Strauss, George K. Matsopoulos
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	—	`conf`	ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. MIDL Julie Mordacq, Léo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton
2024	J	`jnl`	ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. CoRR Julie Mordacq, Léo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton
2024	J	`jnl`	Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew J. Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
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	—	`conf`	Diffusion Models for Nuclei Segmentation in Low Data Regimes. ISBI Konstantinos Alexis, Stergios Christodoulidis, Dimitrios Gunopulos, Maria Vakalopoulou
2024	J	`jnl`	GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
2024	—	`conf`	Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning. EMBC Inês Lopes, Maria Vakalopoulou, Enzo Ferrante, Diogo Libânio, Mário Dinis-Ribeiro, Miguel Tavares Coimbra, Francesco Renna
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	A*	`conf`	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CVPR Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2024	A*	`conf`	Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization. ICLR Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
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
2024	J	`jnl`	You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
2024	A*	`conf`	You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. NeurIPS Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
2023	—	`conf`	Certification of Deep Learning Models for Medical Image Segmentation. MICCAI (4) Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2023	J	`jnl`	Certification of Deep Learning Models for Medical Image Segmentation. CoRR Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2023	J	`jnl`	Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
2023	—	`conf`	Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios
2023	C	`conf`	Have Foundational Models Seen Satellite Images? IGARSS Akash Panigrahi, Sagar Verma, Matthieu Terris, Maria Vakalopoulou
2023	J	`jnl`	Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization. CoRR Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023	—	`conf`	MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning. MIDL Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
2023	J	`jnl`	MEDIMP: Medical Images and Prompts for renal transplant representation learning. CoRR Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
2023	—	`conf`	Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, 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`	Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
2023	J	`jnl`	Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023	—	`conf`	Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023	—	`conf`	SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023	J	`jnl`	SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023	J	`jnl`	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
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
2023	J	`jnl`	Towards Better Certified Segmentation via Diffusion Models. CoRR Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
2023	A	`conf`	Towards better certified segmentation via diffusion models. UAI Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
2022	J	`jnl`	Artifact Removal in Histopathology Images. CoRR Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, Joseph Boyd
2022	J	`jnl`	COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. 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
2022	—	`conf`	Contrastive Masked Transformers for Forecasting Renal Transplant Function. MICCAI (8) Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
2022	C	`conf`	Deep Learning based Multistep Registration Focusing on Regions of Change. IGARSS Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
2022	—	`conf`	Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. MICCAI (2) Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2022	J	`jnl`	Gigapixel Whole-Slide Images Classification using Locally Supervised Learning. CoRR Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
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	J	`jnl`	Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
2022	J	`jnl`	Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
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`	Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology. MICCAI (2) Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
2022	J	`jnl`	Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology. CoRR Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
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	—	`conf`	3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri. ISBI Léo Milecki, Sylvain Bodard, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
2021	J	`jnl`	A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection. IEEE Trans. Geosci. Remote. Sens. Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
2021	—	`conf`	A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. CVPR Workshops Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
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`	Cancer Gene Profiling through Unsupervised Discovery. CoRR 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
2021	J	`jnl`	Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
2021	—	`conf`	Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. MLMI@MICCAI Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
2021	J	`jnl`	Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
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`	High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. MICCAI (4) Sonia Martinot, Norbert Bus, Maria Vakalopoulou, Charlotte Robert, Eric Deutsch, Nikos Paragios
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2021	J	`jnl`	MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. CoRR Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch
2021	A	`conf`	Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization. BMVC Marin Scalbert, Florent Couzinié-Devy, Maria Vakalopoulou
2021	J	`jnl`	Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization. CoRR Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
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`	Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
2021	—	`conf`	SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios
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
2021	—	`conf`	Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
2021	J	`jnl`	Weakly supervised pan-cancer segmentation tool. CoRR Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
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	—	`conf`	Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
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`	Deep learning based registration using spatial gradients and noisy segmentation labels. CoRR Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, 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
2020	—	`conf`	Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. MICCAI (5) Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
2020	J	`jnl`	Weakly supervised multiple instance learning histopathological tumor segmentation. CoRR Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
2019	C	`conf`	A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery. IGARSS Maria Papadomanolaki, Konstantinos Karantzalos, Maria Vakalopoulou
2019	J	`jnl`	A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks. Remote. Sens. Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
2019	C	`conf`	Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. IGARSS Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos
2019	J	`jnl`	Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. CoRR Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos
2019	—	`conf`	Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch
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`	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`	AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios
2018	—	`conf`	Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
2018	—	`conf`	Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. ISBI Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki
2018	J	`jnl`	Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover. Remote. Sens. Christina Karakizi, Konstantinos Karantzalos, Maria Vakalopoulou, Georgia Antoniou
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	C	`conf`	Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. IGARSS Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos
2017	C	`conf`	Integrating edge/boundary priors with classification scores for building detection in very high resolution data. IGARSS Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos, Nikos Paragios
2017	J	`jnl`	Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia
2017	—	`conf`	Patch-based deep learning architectures for sparse annotated very high resolution datasets. JURSE Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
2017	—	`conf`	Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning. JURSE Theodosia Vardoulaki, Maria Vakalopoulou, Konstantinos Karantzalos
2016	J	`jnl`	Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2016	C	`conf`	Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. IGARSS Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos
2015	C	`conf`	Building detection in very high resolution multispectral data with deep learning features. IGARSS Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2015	—	`conf`	Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2014	J	`jnl`	Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data. Remote. Sens. Maria Vakalopoulou, Konstantinos Karantzalos