Maria Vakalopoulou

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 95

Top Topics

High Resolution

Weakly Supervised

Top Venues

Publications

Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization. ICLR (2024)
Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
ViG-Bias: Visually Grounded Bias Discovery and Mitigation. CoRR (2024)
Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR (2024)
Julie Mordacq, Léo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. CoRR (2024)
Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. 155 (2024)
Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR (2024)
Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. CoRR (2023)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI (2023)
Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning. MIDL (2023)
Akash Panigrahi, Sagar Verma, Matthieu Terris, Maria Vakalopoulou
Have Foundational Models Seen Satellite Images? IGARSS (2023)
Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
Structured State Space Models for Multiple Instance Learning in Digital Pathology. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Towards better certified segmentation via diffusion models. UAI (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR (2023)
Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR (2023)
Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, Fabrice André, Hugues Talbot
On the detection of Out-Of-Distribution samples in Multiple Instance Learning. CoRR (2023)
Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization. CoRR (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Towards Better Certified Segmentation via Diffusion Models. CoRR (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR (2023)
Leo Fillioux, Emilie Gontran, Jérôme Cartry, Jacques RR Mathieu, Sabrina Bedja, Alice Boilève, Paul-Henry Cournède, Fanny Jaulin, Stergios Christodoulidis, Maria Vakalopoulou
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy. ICCV (Workshops) (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI (2023)
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Certification of Deep Learning Models for Medical Image Segmentation. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Certification of Deep Learning Models for Medical Image Segmentation. MICCAI (4) (2023)
Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
MEDIMP: Medical Images and Prompts for renal transplant representation learning. CoRR (2023)
Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI (2023)
Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis
Structured State Space Models for Multiple Instance Learning in Digital Pathology. MICCAI (1) (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) (2023)
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
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. MICCAI (2) (2022)
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
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis
Region-guided CycleGANs for Stain Transfer in Whole Slide Images. CoRR (2022)
Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology. CoRR (2022)
Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
Deep Learning based Multistep Registration Focusing on Regions of Change. IGARSS (2022)
Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
Contrastive Masked Transformers for Forecasting Renal Transplant Function. MICCAI (8) (2022)
Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, Joseph Boyd
Artifact Removal in Histopathology Images. CoRR (2022)
Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, Ingrid-Judith Garberis, Stefan Michiels, Paul-Henry Cournède
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS (2022)
Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology. MICCAI (2) (2022)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR (2022)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR (2022)
Loïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot
Unsupervised Nuclei Segmentation Using Spatial Organization Priors. MICCAI (2) (2022)
Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. MICCAI (2) (2022)
Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning. CoRR (2022)
Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR (2021)
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
Cancer Gene Profiling through Unsupervised Discovery. CoRR (2021)
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. MLMI@MICCAI (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. CoRR (2021)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
Weakly supervised pan-cancer segmentation tool. CoRR (2021)
Maria Papadomanolaki, Stergios Christodoulidis, Konstantinos Karantzalos, Maria Vakalopoulou
Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning. Remote. Sens. 13 (7) (2021)
Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization. CoRR (2021)
Sonia Martinot, Norbert Bus, Maria Vakalopoulou, Charlotte Robert, Eric Deutsch, Nikos Paragios
High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs. MICCAI (4) (2021)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI (2021)
Léo Milecki, Sylvain Bodard, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri. ISBI (2021)
Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW (2021)
Marin Scalbert, Florent Couzinié-Devy, Maria Vakalopoulou
Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization. BMVC (2021)
Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. CVPR Workshops (2021)
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR (2021)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Nikos Paragios, Eric Deutsch
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network. CoRR (2021)
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
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection. IEEE Trans. Geosci. Remote. Sens. 59 (9) (2021)
Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch
Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR (2021)
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
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 67 (2021)
Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI (2021)
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) (2021)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep learning based registration using spatial gradients and noisy segmentation labels. CoRR (2020)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. MICCAI (5) (2020)
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) (2020)
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
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14 (2020)
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
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. CoRR (2020)
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR (2020)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) (2020)
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios
Weakly supervised multiple instance learning histopathological tumor segmentation. CoRR (2020)
Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. IGARSS (2019)
Enzo Battistella, Maria Vakalopoulou, Théo Estienne, Marvin Lerousseau, Roger Sun, Charlotte Robert, Nikos Paragios, Eric Deutsch
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) (2019)
Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS (2019)
Maria Papadomanolaki, Konstantinos Karantzalos, Maria Vakalopoulou
A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery. IGARSS (2019)
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
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) (2019)
Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
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. 11 (6) (2019)
Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. CoRR (2019)
Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2018)
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR (2018)
Christina Karakizi, Konstantinos Karantzalos, Maria Vakalopoulou, Georgia Antoniou
Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover. Remote. Sens. 10 (8) (2018)
Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. IGARSS (2018)
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI (2018)
Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. ISBI (2018)
Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, R. Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) (2018)
Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
Patch-based deep learning architectures for sparse annotated very high resolution datasets. JURSE (2017)
Theodosia Vardoulaki, Maria Vakalopoulou, Konstantinos Karantzalos
Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning. JURSE (2017)
Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, Bertrand Le Saux, Gabriele Moser, Devis Tuia
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (8) (2017)
Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos, Nikos Paragios
Integrating edge/boundary priors with classification scores for building detection in very high resolution data. IGARSS (2017)
Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. IGARSS (2016)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (7) (2016)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops (2015)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Building detection in very high resolution multispectral data with deep learning features. IGARSS (2015)
Maria Vakalopoulou, Konstantinos Karantzalos
Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data. Remote. Sens. 6 (4) (2014)