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Maria Vakalopoulou
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2020 – today
- 2024
- [j13]Enzo Battistella
, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
GHOST: Graph-based higher-order similarity transformation for classification. Pattern Recognit. 155: 110623 (2024) - [c49]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. CVPR 2024: 11226-11237 - [c48]Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy:
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization. ICLR 2024 - [c47]Konstantinos Alexis, Stergios Christodoulidis, Dimitrios Gunopulos, Maria Vakalopoulou:
Diffusion Models for Nuclei Segmentation in Low Data Regimes. ISBI 2024: 1-5 - [i36]Théo Moutakanni
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR abs/2405.01469 (2024) - [i35]Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski:
You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR abs/2406.09294 (2024) - [i34]Badr-Eddine Marani, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante:
ViG-Bias: Visually Grounded Bias Discovery and Mitigation. CoRR abs/2407.01996 (2024) - [i33]Julie Mordacq, Léo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton:
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. CoRR abs/2407.03836 (2024) - 2023
- [j12]Alessa Hering
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c46]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: 3932-3941 - [c45]Akash Panigrahi, Sagar Verma, Matthieu Terris, Maria Vakalopoulou:
Have Foundational Models Seen Satellite Images? IGARSS 2023: 4998-5001 - [c44]Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI 2023: 485-496 - [c43]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: 783-794 - [c42]Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante:
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI 2023: 1-5 - [c41]Jingwei Zhang
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 161-170 - [c40]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: 594-604 - [c39]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: 611-621 - [c38]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: 624-634 - [c37]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: 846-861 - [c36]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou:
Towards better certified segmentation via diffusion models. UAI 2023: 1185-1195 - [i32]Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy:
Improving Domain-Invariance in Self-Supervised Learning via Batch Styles Standardization. CoRR abs/2303.06088 (2023) - [i31]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 abs/2303.12214 (2023) - [i30]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 abs/2303.12445 (2023) - [i29]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou:
Towards Better Certified Segmentation via Diffusion Models. CoRR abs/2306.09949 (2023) - [i28]Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis:
Structured State Space Models for Multiple Instance Learning in Digital Pathology. CoRR abs/2306.15789 (2023) - [i27]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 abs/2307.09570 (2023) - [i26]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 abs/2308.14461 (2023) - [i25]Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, Fabrice André, Hugues Talbot
On the detection of Out-Of-Distribution samples in Multiple Instance Learning. CoRR abs/2309.05528 (2023) - [i24]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Certification of Deep Learning Models for Medical Image Segmentation. CoRR abs/2310.03664 (2023) - [i23]Ribana Roscher, Marc Rußwurm, Caroline Gevaert
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR abs/2312.05327 (2023) - [i22]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 abs/2312.15010 (2023) - 2022
- [j11]Enzo Battistella
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3317-3331 (2022) - [c35]Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos:
Deep Learning based Multistep Registration Focusing on Regions of Change. IGARSS 2022: 1948-1951 - [c34]Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy:
Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology. MICCAI (2) 2022: 120-129 - [c33]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: 192-201 - [c32]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: 244-254 - [c31]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: 325-335 - [c30]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: 356-365 - [c29]Hakim Benkirane
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis. ML4H@NeurIPS 2022: 405-418 - [i21]Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy:
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology. CoRR abs/2206.09769 (2022) - [i20]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 abs/2207.08267 (2022) - [i19]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 abs/2208.12847 (2022) - [i18]Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante:
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR abs/2211.07395 (2022) - [i17]Cameron Dahan, Stergios Christodoulidis, Maria Vakalopoulou, Joseph Boyd:
Artifact Removal in Histopathology Images. CoRR abs/2211.16161 (2022) - [i16]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 abs/2212.12105 (2022) - 2021
- [j10]Guillaume Chassagnon
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia. Medical Image Anal. 67: 101860 (2021) - [j9]Maria Papadomanolaki
Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning. Remote. Sens. 13(7): 1294 (2021) - [j8]Maria Papadomanolaki
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection. IEEE Trans. Geosci. Remote. Sens. 59(9): 7651-7668 (2021) - [j7]Mihir Sahasrabudhe
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics 25(6): 2125-2136 (2021) - [c28]Marin Scalbert, Florent Couzinié-Devy, Maria Vakalopoulou:
Multi-Source Domain Adaptation via supervised contrastive learning and confident consistency regularization. BMVC 2021: 171 - [c27]Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios:
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification. COMPAY@MICCAI 2021: 129-139 - [c26]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: 3776-3784 - [c25]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. ICCVW 2021: 639-647 - [c24]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: 1781-1785 - [c23]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis
Exploring Deep Registration Latent Spaces. DART/FAIR@MICCAI 2021: 112-122 - [c22]Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun
Weakly Supervised Pan-Cancer Segmentation Tool. MICCAI (8) 2021: 248-256 - [c21]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: 317-326 - [c20]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: 499-508 - [i15]Enzo Battistella
Cancer Gene Profiling through Unsupervised Discovery. CoRR abs/2102.07713 (2021) - [i14]Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
Sparse convolutional context-aware multiple instance learning for whole slide image classification. CoRR abs/2105.02726 (2021) - [i13]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 abs/2105.04269 (2021) - [i12]Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy:
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization. CoRR abs/2106.16093 (2021) - [i11]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 abs/2107.11238 (2021) - [i10]Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR abs/2107.12800 (2021) - [i9]Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. CoRR abs/2109.03299 (2021) - [i8]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 abs/2111.12123 (2021) - [i7]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 abs/2112.04489 (2021) - 2020
- [j6]Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14: 17 (2020) - [c19]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: 87-93 - [c18]Mihir Sahasrabudhe, Stergios Christodoulidis
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. MICCAI (5) 2020: 393-402 - [c17]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: 470-479 - [i6]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 abs/2004.05024 (2020) - [i5]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 abs/2004.12852 (2020) - [i4]Mihir Sahasrabudhe, Stergios Christodoulidis
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention. CoRR abs/2007.08373 (2020) - [i3]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 abs/2010.10897 (2020)
2010 – 2019
- 2019
- [j5]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): 684 (2019) - [c16]Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos:
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. IGARSS 2019: 214-217 - [c15]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: 1069-1072 - [c14]Maria Vakalopoulou, Stergios Christodoulidis
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS 2019: 4939-4942 - [c13]Enzo Battistella
Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature. IWBBIO (1) 2019: 462-474 - [c12]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) 2019: 310-319 - [i2]Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos:
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. CoRR abs/1910.07778 (2019) - 2018
- [j4]Christina Karakizi
Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover. Remote. Sens. 10(8): 1214 (2018) - [c11]Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos:
Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. IGARSS 2018: 6927-6930 - [c10]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: 855-858 - [c9]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: 13-22 - [c8]Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 299-310 - [c7]Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios:
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) 2018: 658-666 - [i1]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 abs/1809.06226 (2018) - 2017
- [j3]Lichao Mou, Xiaoxiang Zhu
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): 3435-3447 (2017) - [c6]Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos
Integrating edge/boundary priors with classification scores for building detection in very high resolution data. IGARSS 2017: 3309-3312 - [c5]Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos
Patch-based deep learning architectures for sparse annotated very high resolution datasets. JURSE 2017: 1-4 - [c4]Theodosia Vardoulaki, Maria Vakalopoulou, Konstantinos Karantzalos
Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning. JURSE 2017: 1-4 - 2016
- [j2]Maria Vakalopoulou
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): 2940-2951 (2016) - [c3]Maria Vakalopoulou, C. Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos
Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. IGARSS 2016: 1827-1830 - 2015
- [c2]Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios:
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops 2015: 61-69 - [c1]Maria Vakalopoulou, Konstantinos Karantzalos
Building detection in very high resolution multispectral data with deep learning features. IGARSS 2015: 1873-1876 - 2014
- [j1]Maria Vakalopoulou, Konstantinos Karantzalos
Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data. Remote. Sens. 6(4): 3409-3426 (2014)
Coauthor Index
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