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Linear and Deformable Image Registration with 3D Convolutional Neural Networks

Stergios Christodoulidis , Mihir Sahasrabudhe , Maria Vakalopoulou , Guillaume Chassagnon , Marie-Pierre Revel , et al.
Reconstruction and Analysis of Moving Body Organs, 21th International Conference on Medical Image Computing and Computer Assisted Intervention 2018, Sep 2018, Grenada, Spain
Conference papers hal-01935607v1

Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover

Christina Karakizi , Konstantinos Karantzalos , Maria Vakalopoulou , Georgia Antoniou
Remote Sensing, 2018, 10 (8), pp.1214. ⟨10.3390/rs10081214⟩
Journal articles hal-01959065v1
Image document

Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs.

Maria Vakalopoulou , Christos Platias , Maria Papadomanolaki , Nikos Paragios , Konstantinos Karantzalos
International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2016, Beijing, China. ⟨10.1109/IGARSS.2016.7729469⟩
Conference papers hal-01413373v1

Deep Learning for the Earth Sciences

Maria Vakalopoulou , Stergios Christodoulidis , Mihir Sahasrabudhe , Nikos Paragios
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, 1, Wiley, 2021, ⟨10.1002/9781119646181.ch9⟩
Book sections hal-03539417v1

Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?

Trieu-Nghi Hoang-Thi , Maria Vakalopoulou , Stergios Christodoulidis , Nikos Paragios , Marie-Pierre Revel , et al.
Diagnostic and Interventional Imaging, 2021, 102 (11), pp.691-695. ⟨10.1016/j.diii.2021.10.001⟩
Journal articles hal-03539082v1

Artificial intelligence applications for thoracic imaging

Guillaume Chassagnon , Maria Vakalopoulou , Nikos Paragios , Marie-Pierre Revel
European Journal of Radiology, 2020, 123, pp.108774. ⟨10.1016/j.ejrad.2019.108774⟩
Journal articles hal-02422501v1
Image document

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation

Théo Estienne , Marvin Lerousseau , Maria Vakalopoulou , Emilie Alvarez Andres , Enzo Battistella , et al.
Frontiers in Computational Neuroscience, 2020, Multimodal Brain Tumor Segmentation and Beyond, ⟨10.3389/fncom.2020.00017⟩
Journal articles hal-02974826v1

SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification

Marvin Lerousseau , Maria Vakalopoulou , Eric Deutsch , Nikos Paragios
Machine Learning Research 156, Sep 2021, Strasbourg, France
Conference papers hal-03539261v1
Image document

Me-NDT: Neural-backed Decision Tree for visual Explainability of deep Medical models

Guanghui Fu , Ruiqian Wang , Jianqiang Li , Maria Vakalopoulou , Vicky Kalogeiton
Medical Imaging with Deep Learning 2021, Jul 2021, Lübeck (virtual), Germany
Conference papers hal-03353559v1
Image document

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon , Maria Vakalopoulou , Enzo Battistella , Stergios Christodoulidis , Trieu-Nghi Hoang-Thi , et al.
Medical Image Analysis, 2021, 67, pp.101860. ⟨10.1016/⟩
Journal articles hal-03133234v1

Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images

Guillaume Chassagnon , Maria Vakalopoulou , Alexis Régent , Evangelia Zacharaki , Galit Aviram , et al.
Radiology: Artificial Intelligence, 2020, 2 (4), pp.e190006. ⟨10.1148/ryai.2020190006⟩
Journal articles hal-03133250v1
Image document

Unsupervised Nuclei Segmentation using Spatial Organization Priors

Loïc Le Bescond , Marvin Lerousseau , Ingrid Garberis , Fabrice André , Stergios Christodoulidis , et al.
MICCAI 2022 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore. pp.325-335
Conference papers hal-03644463v2
Image document

Have Foundational Models Seen Satellite Images?

Akash Panigrahi , Sagar Verma , Matthieu Terris , Maria Vakalopoulou
IGARSS 2023 - International Geoscience and Remote Sensing Symposium, IEEE, Jul 2023, Pasadena, United States
Conference papers hal-04112634v1
Image document

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks

Maria Vakalopoulou , Stergios Christodoulidis , Mihir Sahasrabudhe , Stavroula Mougiakakou , Nikos Paragios
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, France. pp.4939-4942, ⟨10.1109/IGARSS.2019.8898220⟩
Conference papers hal-02422555v1

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas , Mauricio Reyes , Enzo Battistella , Siddhartha Chandra , Théo Estienne , et al.
Preprints, Working Papers, ... hal-01959023v1
Image document

A multi-task deep learning framework coupling semantic segmentation and image reconstruction for very high resolution imagery

Maria Papadomanolaki , Konstantinos Karantzalos , Maria Vakalopoulou
IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/igarss.2019.8898133⟩
Conference papers hal-02266085v1
Image document

Context Aware 3D CNNs for Brain Tumor Segmentation

Siddhartha Chandra , Maria Vakalopoulou , Lucas Fidon , Enzo Battistella , Théo Estienne , et al.
MICCAI Brainlesion Workshop, Sep 2018, Granada, Spain
Conference papers hal-01959610v1
Image document

COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures

Enzo Battistella , Maria Vakalopoulou , Roger Sun , Théo Estienne , Marvin Lerousseau , et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, pp.1-1. ⟨10.1109/TCBB.2021.3123910⟩
Journal articles hal-03530265v1
Image document

Deep learning: basics and convolutional neural networks (CNN)

Maria Vakalopoulou , Stergios Christodoulidis , Ninon Burgos , Olivier Colliot , Vincent Lepetit
Olivier Colliot. Machine Learning for Brain Disorders, Springer, In press
Book sections hal-03957224v1
Image document

Deep learning based registration using spatial gradients and noisy segmentation labels

Théo Estienne , Maria Vakalopoulou , Enzo Battistella , Alexandre Carré , Théophraste Henry , et al.
Preprints, Working Papers, ... hal-02974930v1

Elastic Registration–driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT

Guillaume Chassagnon , Maria Vakalopoulou , Alexis Régent , Mihir Sahasrabudhe , Rafael Marini , et al.
Radiology, 2021, 298 (1), pp.189-198. ⟨10.1148/radiol.2020200319⟩
Journal articles hal-03134510v1

Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation

Marvin Lerousseau , Maria Vakalopoulou , Marion Classe , Julien Adam , Enzo Battistella , et al.
MICCAI 2020 - Medical Image Computing and Computer Assisted Intervention, Oct 2020, Lima, Peru. pp.470-479, ⟨10.1007/978-3-030-59722-1_45⟩
Conference papers hal-03133239v1
Image document

3D Unsupervised Kidney Graft Segmentation Based on Deep Learning and Multi-Sequence MRI

Leo Milecki , Sylvain Bodard , Jean-Michel Correas , Marc-Olivier Timsit , Maria Vakalopoulou
IEEE ISBI 2021 - International Symposium on Biomedical Imaging, Apr 2021, Nice / Virtual, France
Conference papers hal-03141528v1

Contrastive Masked Transformers for Forecasting Renal Transplant Function

Leo Milecki , Vicky Kalogeiton , Sylvain Bodard , Dany Anglicheau , Jean-Michel Correas , et al.
Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore. pp.244-254, ⟨10.1007/978-3-031-16449-1_24⟩
Conference papers hal-03943953v1

Deep learning: definition and perspectives for thoracic imaging

Maria Vakalopoulou , Guillaume Chassagnon , Nikos Paragios , Marie-Pierre Revel
European Radiology, 2019, 30, p. 2021-2030. ⟨10.1007/s00330-019-06564-3⟩
Journal articles hal-02422513v1

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning

Jingwei Zhang , Xin Zhang , Ke Ma , Rajarsi Gupta , Joel Saltz , et al.
MICCAI 2022 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention, Locally supervised learning; Whole slide image; Multiple instance learning; Classification, Sep 2022, Singapore, Singapore. pp.192-201, ⟨10.1007/978-3-031-16434-7_19⟩
Conference papers hal-03939232v1
Image document

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data

Maria Vakalopoulou , Konstantinos Karantzalos , Nikos Komodakis , Nikos Paragios
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9, pp.2940 - 2951. ⟨10.1109/JSTARS.2016.2557081⟩
Journal articles hal-01413419v1

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification

Jingwei Zhang , Ke Ma , John van Arman , Rajarsi Gupta , Joel Saltz , et al.
CVMI, Jun 2021, Nashville, United States. ⟨10.1109/CVPRW53098.2021.00418⟩
Conference papers hal-03539240v1

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

Joseph Boyd , Mykola Liashuha , Eric Deutsch , Nikos Paragios , Stergios Christodoulidis , et al.
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, Montreal, Canada. pp.639-647, ⟨10.1109/ICCVW54120.2021.00077⟩
Conference papers hal-03448192v1

Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells

Roger Sun , Nora Sundahl , Markus Hecht , Florian Putz , Andrea Lancia , et al.
Journal for Immunotherapy of Cancer, 2020, 8 (2), pp.e001429. ⟨10.1136/jitc-2020-001429⟩
Journal articles hal-03133258v1