Maria Vakalopoulou
Orcid: 0000-0002-3059-5741
According to our database1,
Maria Vakalopoulou
authored at least 69 papers
between 2014 and 2023.
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Bibliography
2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation.
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis.
Proceedings of the Machine Learning for Health, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2021
Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning.
Remote. Sens., 2021
Medical Image Anal., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network.
CoRR, 2021
Sparse convolutional context-aware multiple instance learning for whole slide image classification.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Frontiers Comput. Neurosci., 2020
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
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.
Remote. Sens., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover.
Remote. Sens., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning.
Proceedings of the Joint Urban Remote Sensing Event, 2017
Patch-based deep learning architectures for sparse annotated very high resolution datasets.
Proceedings of the Joint Urban Remote Sensing Event, 2017
Integrating edge/boundary priors with classification scores for building detection in very high resolution data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Building detection in very high resolution multispectral data with deep learning features.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
2014
Remote. Sens., 2014