Vakalopoulou, Maria

16 publications

TMLR 2026 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
MIDL 2026 Context-Aware Patch Representations for Multiple Instance Learning Andreas Lolos, Theofilos Christodoulou, Aris L. Moustakas, Stergios Christodoulidis, Maria Vakalopoulou
MIDL 2026 Counterfactual Intervention in Attention Multiple Instance Learning for Digital Pathology Imane Chraki, Pierre Marza, Stergios Christodoulidis, Maria Vakalopoulou
MIDL 2025 Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge Nabil Mouadden, Véronique Vergé, Ahmadreza Arbab, Jean-Baptiste Micol, Elsa Bernard, Aline Renneville, Stergios Christodoulidis, Maria Vakalopoulou
ICCV 2025 Controllable Latent Space Augmentation for Digital Pathology Sofiène Boutaj, Marin Scalbert, Pierre Marza, Florent Couzinie-Devy, Maria Vakalopoulou, Stergios Christodoulidis
NeurIPS 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
MIDL 2024 ADAPT: Multimodal Learning for Detecting Physiological Changes Under Missing Modalities Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton
CVPR 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
ICLR 2024 Towards Domain-Invariant Self-Supervised Learning with Batch Styles Standardization Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
ECCV 2024 ViG-Bias: Visually Grounded Bias Discovery and Mitigation Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
NeurIPS 2024 You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
ICCVW 2023 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
UAI 2023 Towards Better Certified Segmentation via Diffusion Models Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
CVPRW 2021 A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
ICCVW 2021 Self-Supervised Representation Learning Using Visual Field Expansion on Digital Pathology Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
CVPRW 2015 Simultaneous Registration and Change Detection in Multitemporal, Very High Resolution Remote Sensing Data Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios