publications

This is a non exhaustive list. You can also take a look at Google Scholar for a more complete list.

2023

  1. 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, and 50 more authors
    IEEE Trans. Medical Imaging, 2023
  2. Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation
    Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, and 4 more authors
    In Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023
  3. Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
    Jingwei Zhang, Saarthak Kapse, Ke Ma, and 4 more authors
    In Information Processing in Medical Imaging - 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18-23, 2023, Proceedings, 2023
  4. Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models
    Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, and 1 more author
    In 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023
  5. Structured State Space Models for Multiple Instance Learning in Digital Pathology
    Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, and 2 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I, 2023
  6. Certification of Deep Learning Models for Medical Image Segmentation
    Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, and 3 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV, 2023
  7. Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning
    Jingwei Zhang, Saarthak Kapse, Ke Ma, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII, 2023
  8. Towards better certified segmentation via diffusion models
    Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, and 4 more authors
    In Uncertainty in Artificial Intelligence, UAI 2023, July 31 - 4 August 2023, Pittsburgh, PA, USA, 2023
  9. Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization
    Marin Scalbert, Maria Vakalopoulou, and Florent Couzinié-Devy
    CoRR, 2023
  10. Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning
    Jingwei Zhang, Saarthak Kapse, Ke Ma, and 4 more authors
    CoRR, 2023
  11. MEDIMP: Medical Images and Prompts for renal transplant representation learning
    Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, and 4 more authors
    CoRR, 2023
  12. Towards Better Certified Segmentation via Diffusion Models
    Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, and 4 more authors
    CoRR, 2023
  13. Structured State Space Models for Multiple Instance Learning in Digital Pathology
    Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, and 2 more authors
    CoRR, 2023
  14. SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
    Jingwei Zhang, Ke Ma, Saarthak Kapse, and 4 more authors
    CoRR, 2023
  15. Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
    Leo Fillioux, Emilie Gontran, Jérôme Cartry, and 7 more authors
    CoRR, 2023
  16. On the detection of Out-Of-Distribution samples in Multiple Instance Learning
    Loı̈c Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, and 2 more authors
    CoRR, 2023
  17. Certification of Deep Learning Models for Medical Image Segmentation
    Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, and 3 more authors
    CoRR, 2023
  18. Structured State Space Models for Multiple Instance Learning in Digital Pathology
    Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, and 2 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
  19. Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial
    Fernanda Mosele, Elise Deluche, Amelie Lusque, and 8 more authors
    Nature Medicine, 2023
  20. Precise location matching improves dense contrastive learning in digital pathology
    Jingwei Zhang, Saarthak Kapse, Ke Ma, and 4 more authors
    In International Conference on Information Processing in Medical Imaging, 2023
  21. Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning
    Jingwei Zhang, Saarthak Kapse, Ke Ma, and 4 more authors
    arXiv preprint arXiv:2303.12214, 2023
  22. Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation
    Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, and 4 more authors
    In International Conference on Information Processing in Medical Imaging, 2023
  23. MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation
    Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, and 4 more authors
    In MIDL 2023-Medical Imaging with Deep Learning, 2023
  24. Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
    Leo Fillioux, Emilie Gontran, Jérôme Cartry, and 7 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

  1. COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures
    Enzo Battistella, Maria Vakalopoulou, Roger Sun, and 9 more authors
    IEEE ACM Trans. Comput. Biol. Bioinform., 2022
  2. Deep Learning based Multistep Registration Focusing on Regions of Change
    Maria Papadomanolaki, Maria Vakalopoulou, and Konstantinos Karantzalos
    In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022, 2022
  3. Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology
    Marin Scalbert, Maria Vakalopoulou, and Florent Couzinié-Devy
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 2022
  4. Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning
    Jingwei Zhang, Xin Zhang, Ke Ma, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 2022
  5. Contrastive Masked Transformers for Forecasting Renal Transplant Function
    Léo Milecki, Vicky Kalogeiton, Sylvain Bodard, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII, 2022
  6. Unsupervised Nuclei Segmentation Using Spatial Organization Priors
    Loı̈c Le Bescond, Marvin Lerousseau, Ingrid Garberis, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 2022
  7. Region-Guided CycleGANs for Stain Transfer in Whole Slide Images
    Joseph Boyd, Irène Villa, Marie-Christine Mathieu, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 2022
  8. Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis
    Hakim Benkirane, Maria Vakalopoulou, Stergios Christodoulidis, and 3 more authors
    In Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual, 2022
  9. Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
    Marin Scalbert, Maria Vakalopoulou, and Florent Couzinié-Devy
    CoRR, 2022
  10. Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
    Jingwei Zhang, Xin Zhang, Ke Ma, and 4 more authors
    CoRR, 2022
  11. Region-guided CycleGANs for Stain Transfer in Whole Slide Images
    Joseph Boyd, Irène Villa, Marie-Christine Mathieu, and 4 more authors
    CoRR, 2022
  12. Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
    Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, and 1 more author
    CoRR, 2022
  13. Artifact Removal in Histopathology Images
    Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, and 1 more author
    CoRR, 2022
  14. Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
    Jingwei Zhang, Saarthak Kapse, Ke Ma, and 4 more authors
    CoRR, 2022
  15. Region-guided cyclegans for stain transfer in whole slide images
    Joseph Boyd, Irène Villa, Marie-Christine Mathieu, and 4 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
  16. Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
    Marin Scalbert, Maria Vakalopoulou, and Florent Couzinié-Devy
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
  17. Contrastive masked transformers for forecasting renal transplant function
    Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, and 4 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022

2021

  1. AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
    Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, and 16 more authors
    Medical Image Anal., 2021
  2. Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning
    Maria Papadomanolaki, Stergios Christodoulidis, Konstantinos Karantzalos, and 1 more author
    Remote. Sens., 2021
  3. A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection
    Maria Papadomanolaki, Maria Vakalopoulou, and Konstantinos Karantzalos
    IEEE Trans. Geosci. Remote. Sens., 2021
  4. Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis
    Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, and 5 more authors
    IEEE J. Biomed. Health Informatics, 2021
  5. Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization
    Marin Scalbert, Florent Couzinié-Devy, and Maria Vakalopoulou
    In 32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021, 2021
  6. SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification
    Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, and 1 more author
    In MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event, 2021
  7. A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification
    Jingwei Zhang, Ke Ma, John S. Van Arnam, and 4 more authors
    In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021
  8. Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
    Joseph Boyd, Mykola Liashuha, Eric Deutsch, and 3 more authors
    In IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021, 2021
  9. 3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri
    Léo Milecki, Sylvain Bodard, Jean-Michel Correas, and 2 more authors
    In 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021
  10. Exploring Deep Registration Latent Spaces
    Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, and 8 more authors
    In Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings, 2021
  11. Weakly Supervised Pan-Cancer Segmentation Tool
    Marvin Lerousseau, Marion Classe, Enzo Battistella, and 8 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII, 2021
  12. Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
    Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, and 3 more authors
    In Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, 2021
  13. High-Particle Simulation of Monte-Carlo Dose Distribution with 3D ConvLSTMs
    Sonia Martinot, Norbert Bus, Maria Vakalopoulou, and 3 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV, 2021
  14. Cancer Gene Profiling through Unsupervised Discovery
    Enzo Battistella, Maria Vakalopoulou, Roger Sun, and 9 more authors
    CoRR, 2021
  15. Sparse convolutional context-aware multiple instance learning for whole slide image classification
    Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, and 1 more author
    CoRR, 2021
  16. Weakly supervised pan-cancer segmentation tool
    Marvin Lerousseau, Marion Classe, Enzo Battistella, and 8 more authors
    CoRR, 2021
  17. Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
    Marin Scalbert, Maria Vakalopoulou, and Florent Couzinié-Devy
    CoRR, 2021
  18. Exploring Deep Registration Latent Spaces
    Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, and 8 more authors
    CoRR, 2021
  19. Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
    Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, and 3 more authors
    CoRR, 2021
  20. Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
    Joseph Boyd, Mykola Liashuha, Eric Deutsch, and 3 more authors
    CoRR, 2021
  21. MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
    Théo Estienne, Maria Vakalopoulou, Enzo Battistella, and 5 more authors
    CoRR, 2021
  22. 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, and 44 more authors
    CoRR, 2021
  23. Deep reinforcement learning for l3 slice localization in sarcopenia assessment
    Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, and 3 more authors
    In Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 12, 2021
  24. AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
    Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, and 8 more authors
    Medical image analysis, 2021
  25. Elastic registration–driven deep learning for longitudinal assessment of systemic sclerosis interstitial lung disease at CT
    Guillaume Chassagnon, Maria Vakalopoulou, Alexis Régent, and 8 more authors
    Radiology, 2021
  26. A deep multitask learning framework coupling semantic segmentation and fully convolutional LSTM networks for urban change detection
    Maria Papadomanolaki, Maria Vakalopoulou, and Konstantinos Karantzalos
    IEEE Transactions on Geoscience and Remote Sensing, 2021
  27. Unsupervised multistep deformable registration of remote sensing imagery based on deep learning
    Maria Papadomanolaki, Stergios Christodoulidis, Konstantinos Karantzalos, and 1 more author
    Remote Sensing, 2021
  28. Deep learning for image matching and Co-registration
    Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, and 1 more author
    Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, 2021

2020

  1. Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation
    Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, and 11 more authors
    Frontiers Comput. Neurosci., 2020
  2. Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels
    Théo Estienne, Maria Vakalopoulou, Enzo Battistella, and 6 more authors
    In Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020
  3. Self-supervised Nuclei Segmentation in Histopathological Images Using Attention
    Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, and 5 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V, 2020
  4. Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation
    Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, and 7 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V, 2020
  5. Weakly supervised multiple instance learning histopathological tumor segmentation
    Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, and 7 more authors
    CoRR, 2020
  6. AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia
    Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, and 28 more authors
    CoRR, 2020
  7. Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
    Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, and 5 more authors
    CoRR, 2020
  8. Deep learning based registration using spatial gradients and noisy segmentation labels
    Théo Estienne, Maria Vakalopoulou, Enzo Battistella, and 6 more authors
    CoRR, 2020

2019

  1. 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, and Konstantinos Karantzalos
    Remote. Sens., 2019
  2. Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
    Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, and 2 more authors
    In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, 2019
  3. A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery
    Maria Papadomanolaki, Konstantinos Karantzalos, and Maria Vakalopoulou
    In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, 2019
  4. Image Registration of Satellite Imagery with Deep Convolutional Neural Networks
    Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, and 2 more authors
    In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, 2019
  5. Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature
    Enzo Battistella, Maria Vakalopoulou, Théo Estienne, and 5 more authors
    In Bioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I, 2019
  6. U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets
    Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, and 9 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019
  7. Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
    Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, and 2 more authors
    CoRR, 2019
  8. Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data
    Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, and 2 more authors
    In IGARSS 2019-2019 IEEE international geoscience and remote sensing symposium, 2019

2018

  1. Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover
    Christina Karakizi, Konstantinos Karantzalos, Maria Vakalopoulou, and 1 more author
    Remote. Sens., 2018
  2. Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets
    Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, and 1 more author
    In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018
  3. Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation
    Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, and 2 more authors
    In 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018
  4. Linear and Deformable Image Registration with 3D Convolutional Neural Networks
    Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, and 4 more authors
    In Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings, 2018
  5. Context Aware 3D CNNs for Brain Tumor Segmentation
    Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, and 6 more authors
    In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II, 2018
  6. AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation
    Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018
  7. Linear and Deformable Image Registration with 3D Convolutional Neural Networks
    Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, and 4 more authors
    CoRR, 2018
  8. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study
    Roger Sun, Elaine Johanna Limkin, Maria Vakalopoulou, and 8 more authors
    The Lancet Oncology, 2018

2017

  1. Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest
    Lichao Mou, Xiaoxiang Zhu, Maria Vakalopoulou, and 5 more authors
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
  2. Integrating edge/boundary priors with classification scores for building detection in very high resolution data
    Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos, and 1 more author
    In 2017 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, TX, USA, July 23-28, 2017, 2017
  3. Patch-based deep learning architectures for sparse annotated very high resolution datasets
    Maria Papadomanolaki, Maria Vakalopoulou, and Konstantinos Karantzalos
    In Joint Urban Remote Sensing Event, JURSE 2017, Dubai, United Arab Emirates, March 6-8, 2017, 2017
  4. Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning
    Theodosia Vardoulaki, Maria Vakalopoulou, and Konstantinos Karantzalos
    In Joint Urban Remote Sensing Event, JURSE 2017, Dubai, United Arab Emirates, March 6-8, 2017, 2017

2016

  1. Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data
    Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, and 1 more author
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
  2. Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs
    Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, and 2 more authors
    In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, July 10-15, 2016, 2016

2015

  1. Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data
    Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, and 1 more author
    In 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2015, Boston, MA, USA, June 7-12, 2015, 2015
  2. Building detection in very high resolution multispectral data with deep learning features
    Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, and 1 more author
    In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, July 26-31, 2015, 2015

2014

  1. Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data
    Maria Vakalopoulou, and Konstantinos Karantzalos
    Remote. Sens., 2014