Maria Vakalopoulou

Publications :

• Communication dans un congrès - 42 documents
• • Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie Pierre Revel, Maria Vakalopoulou. Certification of Deep Learning Models for Medical Image Segmentation, 2023-10-08. (https://hal.science/hal-04388114)
  • Leo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry P.-H. Cournède, Stergios Christodoulidis. Structured State Space Models for Multiple Instance Learning in Digital Pathology, 2023-10-08. (https://hal.science/hal-04331431)
  • Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras. SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology, 2023-10-08. (https://hal.science/hal-04392351)
  • Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras. Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning, 2023-10-08. (https://hal.science/hal-04392329)
  • Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, Fabrice Andre, Hugues Talbot. On the detection of Out-Of-Distribution samples in Multiple Instance Learning, 2023-10-03. (https://hal.science/hal-04337462v2)
  • Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou. Towards Better Certified Segmentation via Diffusion Models, 2023-07-31. (https://hal.science/hal-04388219)
  • Akash Panigrahi, Sagar Verma, Matthieu Terris, Maria Vakalopoulou. Have Foundational Models Seen Satellite Images?, 2023-07-16. (https://hal.science/hal-04112634)
  • Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou. MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation, 2023-07-10. (https://centralesupelec.hal.science/hal-04040697v2)
  • 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, 2023-06-18. (https://hal.science/hal-04392320)
  • 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, 2022-11-28. (https://hal.science/hal-04330534)
  • Loïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot. Unsupervised Nuclei Segmentation using Spatial Organization Priors, 2022-09-18. (https://hal.science/hal-03644463v2)
  • 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, 2022-09-18. (https://hal.science/hal-03939229)
  • Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou. Contrastive Masked Transformers for Forecasting Renal Transplant Function, 2022-09-18. (https://hal.science/hal-03738395)
  • Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras. Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning, 2022-09-18. (https://hal.science/hal-03939232)
  • Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou. Contrastive Masked Transformers for Forecasting Renal Transplant Function, 2022-09-18. (https://hal.science/hal-03943953)
  • Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou. Constrative Learning for Kidney Transplant Analysis using MRI data and Deep Convolutional Networks, 2022-07-06. (https://hal.science/hal-04528420)
  • Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou. Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology, 2021-10-11. (https://centralesupelec.hal.science/hal-03448192)
  • 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, 2021-09-29. (https://hal.science/hal-03539272)
  • Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios. SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification, 2021-09-27. (https://hal.science/hal-03539261)
  • Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou. Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment, 2021-09-27. (https://hal.science/hal-03532954)
  • 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, 2021-09-27. (https://hal.science/hal-03524105)
  • Guanghui Fu, Ruiqian Wang, Jianqiang Li, Maria Vakalopoulou, Vicky Kalogeiton. Me-NDT: Neural-backed Decision Tree for visual Explainability of deep Medical models, 2021-07-07. (https://polytechnique.hal.science/hal-03353559)
  • Jingwei Zhang, Ke Ma, John van Arman, Rajarsi Gupta, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras. A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification, 2021-06-25. (https://hal.science/hal-03539240)
  • Leo Milecki, Sylvain Bodard, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou. 3D Unsupervised Kidney Graft Segmentation Based on Deep Learning and Multi-Sequence MRI, 2021-04-13. (https://hal.science/hal-03141528)
  • 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, 2020-10-04. (https://hal.science/hal-03087006)
  • 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, 2020-10-04. (https://hal.science/hal-03133239)
  • Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula Mougiakakou, Nikos Paragios, Eric Deutsch. U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets, 2019-10-13. (https://hal.science/hal-02365899v2)
  • Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula Mougiakakou, Nikos Paragios. Image Registration of Satellite Imagery with Deep Convolutional Neural Networks, 2019-07-28. (https://inria.hal.science/hal-02422555)
  • Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos. Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data, 2019-07-28. (https://inria.hal.science/hal-02266094)
  • Maria Papadomanolaki, Konstantinos Karantzalos, Maria Vakalopoulou. A multi-task deep learning framework coupling semantic segmentation and image reconstruction for very high resolution imagery, 2019-07-28. (https://inria.hal.science/hal-02266085)
  • 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, 2019-05-08. (https://hal.science/hal-02076104)
  • Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula Mougiakakou, Nikos Paragios. Linear and Deformable Image Registration with 3D Convolutional Neural Networks, 2018-09-16. (https://hal.science/hal-01935607)
  • Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini Silva, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios. AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation, 2018-09-16. (https://inria.hal.science/hal-01958236v2)
  • 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, 2018-09-16. (https://inria.hal.science/hal-01959610)
  • Maria Papadomanolaki, Maria Vakalopoulou, Nikos Paragios, Konstantinos Karantzalos. Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets, 2018-07-22. (https://hal.science/hal-01870857)
  • 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, 2018-04-04. (https://inria.hal.science/hal-01721714)
  • Maria Vakalopoulou, Norbert Bus, Konstantinos Karantzalos, Nikos Paragios. Integrating edge/boundary priors with classification scores for building detection in very high resolution data, 2017-07-23. (https://centralesupelec.hal.science/hal-02423036)
  • Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos. Patch-based deep learning architectures for sparse annotated very high resolution datasets, 2017-03-06. (https://centralesupelec.hal.science/hal-02423037)
  • Theodosia Vardoulaki, Maria Vakalopoulou, Konstantinos Karantzalos. Per city-block, density estimation at build-up areas from aerial RGB imagery with deep learning, 2017-03-06. (https://centralesupelec.hal.science/hal-02423038)
  • Maria Vakalopoulou, Christos Platias, Maria Papadomanolaki, Nikos Paragios, Konstantinos Karantzalos. Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs., 2016-07-10. (https://inria.hal.science/hal-01413373)
  • Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios. Building detection in very high resolution multispectral data with deep learning features, 2015-07-26. (https://hal.science/hal-01264084)
  • Maria Vakalopoulou, Konstantinos Karatzalos, Nikos Komodakis, Nikos Paragios. Simultaneous Registration and Change Detection in Multitemporal, Very High Resolution Remote Sensing Data, 2015-06-07. (https://hal.science/hal-01264072)
• Article dans une revue - 25 documents
• • Fernanda Mosele, Elise Deluche, Amelie Lusque, Loïc Le Bescond, Thomas Filleron, Yoann Pradat, Agnes Ducoulombier, Barbara Pistilli, Thomas Bachelot, Frederic Viret, Christelle Levy, Nicolas Signolle, Alexia Alfaro, Diep T N Tran, Ingrid Judith Garberis, Hugues Talbot, Stergios Christodoulidis, Maria Vakalopoulou, Nathalie Droin, Aurelie Stourm, Maki Kobayashi, Tomoya Kakegawa, Ludovic Lacroix, Patrick Saulnier, Bastien Job, Marc Deloger, Marta Jimenez, Celine Mahier, Vianney Baris, Pierre Laplante, Patricia Kannouche, Virginie Marty, Magali Lacroix-Triki, Veronique Diéras, Fabrice André. Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial, 2023-07-24. (https://hal.science/hal-04187928)
  • Stefania Chounta, Rodrigue S. Allodji, Maria Vakalopoulou, Mahmoud Bentriou, Duyen Thi Do, Florent de Vathaire, Ibrahima Sory Diallo, Brice C. Fresneau, Thibaud Charrier, Vincent Zossou, Stergios Christodoulidis, Sarah Lemler, Véronique Letort Le Chevalier. Dosiomics-Based Prediction of Radiation-Induced Valvulopathy after Childhood Cancer, 2023. (https://hal.science/hal-04191649)
  • Clara Vigneron, Othmane Laousy, Guillaume Chassagnon, Maria Vakalopoulou, Julien Charpentier, Jérôme Alexandre, Matthieu Jamme, Frédéric Pène. Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer Patients, 2022-12. (https://hal.science/hal-03939202)
  • Guillaume Chassagnon, Constance de Margerie-Mellon, Maria Vakalopoulou, Rafael Marini, Trieu-Nghi Hoang-Thi, Marie-Pierre Revel, Philippe Soyer. Artificial intelligence in lung cancer: current applications and perspectives, 2022-10-09. (https://hal.science/hal-03939209)
  • Guillaume Chassagnon, Alienor Campredon, Maria Vakalopoulou, Pierre-Régis Burgel. Diversity of approaches in artificial intelligence: an opportunity for discoveries in thoracic imaging, 2022-07-07. (https://hal.science/hal-03939234)
  • Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Stergios Christodoulidis, Nikos Paragios, Marie-Pierre Revel, Guillaume Chassagnon. Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?, 2021-11. (https://hal.science/hal-03539082)
  • Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Émilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Emilie Alvarez Andres, Eric Deutsch. COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures, 2021-11-01. (https://centralesupelec.hal.science/hal-03530265)
  • Alienor Campredon, Enzo Battistella, Clémence Martin, Isabelle Durieu, Laurent Mely, Christophe Marguet, Chantal Belleguic, Marlène Murris-Espin, Raphaël Chiron, Annlyse Fanton, Stéphanie Bui, Martine Reynaud-Gaubert, Philippe Reix, Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Marie-Pierre Revel, Jennifer da Silva, Pierre-Régis Burgel, Guillaume Chassagnon. Using chest CT scan and unsupervised machine learning for predicting and evaluating response to lumacaftor-ivacaftor in people with cystic fibrosis, 2021-10-12. (https://hal.science/hal-03539118)
  • Maria Papadomanolaki, Stergios Christodoulidis, Konstantinos Karantzalos, Maria Vakalopoulou. Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning, 2021-03-29. (https://inria.hal.science/hal-03538150)
  • Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos. A Deep Multi-Task Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection, 2021-02-12. (https://inria.hal.science/hal-03140492)
  • Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice Andre, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Aliénor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Maxime Barat, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Téodor Grand, Jules Gregory, Yann Nguyen, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stéphane Tran Ba, Valérie Bousson, Ahmed Mekki, Robert-Yves Carlier, Marie-Pierre Revel, Nikos Paragios. AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia, 2021-01. (https://hal.science/hal-03133234)
  • Guillaume Chassagnon, Maria Vakalopoulou, Alexis Régent, Mihir Sahasrabudhe, Rafael Marini, Trieu-Nghi Hoang-Thi, Anh-Tuan Dinh-Xuan, Bertrand Dunogué, Luc Mouthon, Nikos Paragios, Marie-Pierre Revel. Elastic Registration–driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT, 2021-01. (https://hal.science/hal-03134510)
  • Roger Sun, Nora Sundahl, Markus Hecht, Florian Putz, Andrea Lancia, Angela Rouyar, Marina Milic, Alexandre Carré, Enzo Battistella, Emilie Alvarez Andres, Stéphane Niyoteka, Edouard Romano, Guillaume Louvel, Jérôme Durand-Labrunie, Sophie Bockel, Rastilav Bahleda, Charlotte Robert, Celine Boutros, Maria Vakalopoulou, Nikos Paragios, Benjamin Frey, Jean-Charles Soria, Christophe Massard, Charles Ferté, Rainer Fietkau, Piet Ost, Udo Gaipl, Eric Deutsch. Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells, 2020-11-13. (https://hal.science/hal-03133258)
  • Alexandre Carré, Guillaume Klausner, Myriam Edjlali, Marvin Lerousseau, Jade Briend-Diop, Roger Sun, Samy Ammari, Sylvain Reuzé, Emilie Alvarez Andres, Théo Estienne, Stéphane Niyoteka, Enzo Battistella, Maria Vakalopoulou, Frédéric Dhermain, Nikos Paragios, Eric Deutsch, Catherine Oppenheim, Johan Pallud, Charlotte Robert. Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics, 2020-07-23. (https://inserm.hal.science/inserm-02943189)
  • Guillaume Chassagnon, Maria Vakalopoulou, Alexis Régent, Evangelia Zacharaki, Galit Aviram, Charlotte Martin, Rafael Marini, Norbert Bus, Naïm Jerjir, Arsène Mekinian, Thông Hua-Huy, Laurence Monnier-Cholley, Nouria Benmostefa, Luc Mouthon, Anh-Tuan Dinh-Xuan, Nikos Paragios, Marie-Pierre Revel. Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images, 2020-07-01. (https://hal.science/hal-03133250)
  • 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, 2020-03-20. (https://hal.science/hal-02974826)
  • Guillaume Chassagnon, Maria Vakalopoulou, Nikos Paragios, Marie-Pierre Revel. Artificial intelligence applications for thoracic imaging, 2020-02. (https://inria.hal.science/hal-02422501)
  • Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel. Deep learning: definition and perspectives for thoracic imaging, 2019-12-06. (https://inria.hal.science/hal-02422513)
  • Guillaume Chassagnon, Charlotte Martin, Rafael Marini, Maria Vakalopoulou, Alexis Régent, Luc Mouthon, Nikos Paragios, Marie-Pierre Revel. Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis, 2019-05. (https://inria.hal.science/hal-02422529)
  • 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, 2019-03. (https://inria.hal.science/hal-02078539)
  • Roger Sun, Elaine Johanna Limkin, Maria Vakalopoulou, Laurent Dercle, Stéphane Champiat, Shan Rong Han, Loic Verlingue, David Brandao, Andrea Lancia, Samy Ammari, Antoine Hollebecque, Jean-Yves Scoazec, Aurélien Marabelle, Christophe Massard, Jean-Charles Soria, Charlotte Robert, Nikos Paragios, Éric Deutsch, Charles Ferté. 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, 2018-09-01. (https://inria.hal.science/hal-01958243)
  • Peter Savadjiev, Jaron Chong, Anthony Dohan, Maria Vakalopoulou, Caroline Reinhold, Nikos Paragios, Benoit Gallix. Demystification of AI-driven medical image interpretation: past, present and future, 2018-08-13. (https://inria.hal.science/hal-01958231)
  • Christina Karakizi, Konstantinos Karantzalos, Maria Vakalopoulou, Georgia Antoniou. Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud Cover, 2018-08-02. (https://inria.hal.science/hal-01959065)
  • L. Mou, X. Zhu, M. Vakalopoulou, K. Karantzalos, N. Paragios, B. Le Saux, G. Moser, D. Tuia. Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest, 2017-06-14. (https://hal.science/hal-01561333)
  • Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios. Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data, 2016. (https://inria.hal.science/hal-01413419)
• Chapitre d'ouvrage - 2 documents
• • Maria Vakalopoulou, Stergios Christodoulidis, Ninon Burgos, Olivier Colliot, Vincent Lepetit. Deep learning: basics and convolutional neural networks (CNN), 2023-07-23. (https://hal.science/hal-03957224v2)
  • Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Nikos Paragios. Deep Learning for the Earth Sciences, 2021-09-27. (https://hal.science/hal-03539417)
• Pré-publication, Document de travail - 3 documents
• • 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, 2020-12-01. (https://hal.science/hal-03032875)
  • 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, 2020-10-19. (https://hal.science/hal-02974930)
  • Spyridon Bakas, Mauricio Reyes, Enzo Battistella, Siddhartha Chandra, Théo Estienne, Lucas Fidon, Maria Vakalopoulou, Roger Sun, Et Al., Éric Deutsch, Charlotte Robert, Nikos Paragios, Bjoern Menze. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge, 2018-12-18. (https://inria.hal.science/hal-01959023)