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72 résultats
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Image Registration of Satellite Imagery with Deep Convolutional Neural NetworksIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, France. pp.4939-4942, ⟨10.1109/IGARSS.2019.8898220⟩
Communication dans un congrès
hal-02422555v1
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Unsupervised Nuclei Segmentation using Spatial Organization PriorsMICCAI 2022 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2022, Singapore, Singapore. pp.325-335
Communication dans un congrès
hal-03644463v2
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Have Foundational Models Seen Satellite Images?IGARSS 2023 - International Geoscience and Remote Sensing Symposium, IEEE, Jul 2023, Pasadena, United States
Communication dans un congrès
hal-04112634v1
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Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT ImagesRadiology: Artificial Intelligence, 2020, 2 (4), pp.e190006. ⟨10.1148/ryai.2020190006⟩
Article dans une revue
hal-03133250v1
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Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysisML4H 2022 - Machine Learning for Health, Nov 2022, New Orelans, France. pp.405-418
Communication dans un congrès
hal-04330534v1
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Detailed Land Cover Mapping from Multitemporal Landsat-8 Data of Different Cloud CoverRemote Sensing, 2018, 10 (8), pp.1214. ⟨10.3390/rs10081214⟩
Article dans une revue
hal-01959065v1
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Linear and Deformable Image Registration with 3D Convolutional Neural NetworksReconstruction and Analysis of Moving Body Organs, 21th International Conference on Medical Image Computing and Computer Assisted Intervention 2018, Sep 2018, Grenada, Spain
Communication dans un congrès
hal-01935607v1
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Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2016, Beijing, China. ⟨10.1109/IGARSS.2016.7729469⟩
Communication dans un congrès
hal-01413373v1
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Deep Learning for the Earth SciencesDeep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, 1, Wiley, 2021, ⟨10.1002/9781119646181.ch9⟩
Chapitre d'ouvrage
hal-03539417v1
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Dosiomics-Based Prediction of Radiation-Induced Valvulopathy after Childhood CancerCancers, 2023, 15 (12), ⟨10.3390/cancers15123107⟩
Article dans une revue
hal-04191649v1
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Certification of Deep Learning Models for Medical Image SegmentationMICCAI 2023 - 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2023, Vancouver (BC), Canada. pp.611-621, ⟨10.1007/978-3-031-43901-8_58⟩
Communication dans un congrès
hal-04388114v1
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Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationFrontiers in Computational Neuroscience, 2020, Multimodal Brain Tumor Segmentation and Beyond, ⟨10.3389/fncom.2020.00017⟩
Article dans une revue
hal-02974826v1
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Me-NDT: Neural-backed Decision Tree for visual Explainability of deep Medical modelsMedical Imaging with Deep Learning 2021, Jul 2021, Lübeck (virtual), Germany
Communication dans un congrès
hal-03353559v1
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SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image ClassificationMachine Learning Research 156, Sep 2021, Strasbourg, France
Communication dans un congrès
hal-03539261v1
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Artificial intelligence applications for thoracic imagingEuropean Journal of Radiology, 2020, 123, pp.108774. ⟨10.1016/j.ejrad.2019.108774⟩
Article dans une revue
hal-02422501v1
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Towards Better Certified Segmentation via Diffusion ModelsUAI 2023 - The 39th Conference on Uncertainty in Artificial Intelligence -, Jul 2023, Pittsburgh (Pennsylvania), United States. pp.1185-1195
Communication dans un congrès
hal-04388219v1
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AI-driven quantification, staging and outcome prediction of COVID-19 pneumoniaMedical Image Analysis, 2021, 67, pp.101860. ⟨10.1016/j.media.2020.101860⟩
Article dans une revue
hal-03133234v1
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A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology ClassificationCVMI, Jun 2021, Nashville, United States. ⟨10.1109/CVPRW53098.2021.00418⟩
Communication dans un congrès
hal-03539240v1
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Gigapixel Whole-Slide Images Classification Using Locally Supervised LearningMICCAI 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⟩
Communication dans un congrès
hal-03939232v1
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Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing DataIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9, pp.2940 - 2951. ⟨10.1109/JSTARS.2016.2557081⟩
Article dans une revue
hal-01413419v1
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Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cellsJournal for Immunotherapy of Cancer, 2020, 8 (2), pp.e001429. ⟨10.1136/jitc-2020-001429⟩
Article dans une revue
hal-03133258v1
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Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose SimulationInformation Processing in Medical Imaging, Jun 2023, San Carlos De Bariloche, Argentina. pp.485-496, ⟨10.1007/978-3-031-34048-2_37⟩
Communication dans un congrès
hal-04392320v1
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Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomicsScientific Reports, 2020, 10 (1), pp.12340. ⟨10.1038/s41598-020-69298-z⟩
Article dans une revue
inserm-02943189v1
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Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, Montreal, Canada. pp.639-647, ⟨10.1109/ICCVW54120.2021.00077⟩
Communication dans un congrès
hal-03448192v1
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Deep learning: basics and convolutional neural networks (CNN)Olivier Colliot. Machine Learning for Brain Disorders, Springer, 2023, ⟨10.1007/978-1-0716-3195-9_3⟩
Chapitre d'ouvrage
hal-03957224v2
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Deep learning: definition and perspectives for thoracic imagingEuropean Radiology, 2019, 30, p. 2021-2030. ⟨10.1007/s00330-019-06564-3⟩
Article dans une revue
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Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite DatasetsIGARSS 2018 - 38th annual International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.1-4
Communication dans un congrès
hal-01870857v1
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U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep NetsMICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, MICCAI, Oct 2019, Shenzhen, China. pp.310-319, ⟨10.1007/978-3-030-32248-9_35⟩
Communication dans un congrès
hal-02365899v2
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Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentationISBI’18 - IEEE International Symposium on Biomedical Imaging, Apr 2018, Washington, D.C., United States
Communication dans un congrès
hal-01721714v1
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Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia AssessmentMachine Learning in Medical Imaging @MICCAI, Sep 2021, Strasbourg, France. pp.317-326, ⟨10.1007/978-3-030-87589-3_33⟩
Communication dans un congrès
hal-03532954v1
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