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A Federated Triple Store Architecture For Healthcare Applications, in: Proceedings of the 12th International Conference on Enterprise Information Systems (ICEIS 2010), Funchal, Madeira, Portugal, 2010 | , and ,
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Fairtrace: Applying Semantic Web Tools & Techniques to the Textile Traceability, in: Enterprise Information Systems - 15th International Conference, ICEIS 2013, Angers, France, July 4-7, 2013, Revised Selected Papers, Springer Verlag, 2014 | , , , , , , , , and ,
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Fairtrace - A Semantic-Web Oriented Traceability Solution Applied To The Textile Traceability, in: Proceedings of the 15th International Conference on Enterprise information Systems (ICEIS 2013), SCITEPRESS Digital Library, 2013 | , , , , , , , , and ,
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DiagnosticAid: une plateforme collaborative pour les guides de pratique en médecine générale (2015), in: Swiss Medical Informatics, 31 | , , , and ,
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Prototype d'interopérabilité entre hôpitaux et médecins traitants, in: Actes de GISEH 2010, conférence francophone "Gestion et Ingénierie des Systèmes Hospitaliers", Clermont-Ferrand, France, 2010 | , , , , and ,
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RT-BDI: A Real-Time BDI model, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2020 | , , and ,
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In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap, in: Post-Proceedings o EXTRAAMAS 2020, 2020 | , , , and ,
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Translational Medicine - The Need for Integrative Informatics, in: Medical Informatics Europe (MIE), Oslo, Norway, 2011 | , , and ,
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Rotational 3D Texture Classification Using Group Equivariant CNNs (2018), in: ArXiv | and ,
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Learning Cross-Protocol Radiomics and Deep Feature Standardization from CT Images of Texture Phantoms, in: SPIE Medical Imaging 2019, International Society for Optics and Photonics, páginas 109-116, SPIE, 2019 | , and ,
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Neural Network Training for Cross-Protocol Radiomic Feature Standardization in Computed Tomography (2019), in: Journal of Medical Imaging, 6:3(024008) | , and ,
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Local Rotation Invariance in 3D CNNs (2020), in: Medical Image Analysis, 65(101756)
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Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, páginas 15-26, Proceedings of Machine Learning Research, 2019
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Multi-Task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer, in: 4th Workshop on PRedictive Intelligence in MEdicine, páginas 147-156, Springer LNCS, 2021 | , , , , , and ,
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Consistency of Scale Covariance in Internal Representations of CNNs, in: Irish Machine Vision and Image Processing Conference, 2020 | , , and ,
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Deep Multimodal Classification of Image Types in Biomedical Journal Figures, in: CLEF 2018, Avignon, France, Springer, 2018 | and ,
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Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT, páginas 1-30, Springer, Cham, 2023 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images, in: Head and Neck Tumor Segmentation and Outcome Prediction, páginas 1-37, 2022 | , , , , , , , , , and ,
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Automatic Head and Neck Tumor Segmentation and Outcome Prediction Relying on FDG-PET/CT Images: Findings from the Second Edition of the HECKTOR Challenge (2023), in: Medical Image Analysis, 90:1(102972)
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Wide kernels and their DCT compression in convolutional networks for nuclei segmentation (2023), in: Informatics in Medicine Unlocked, 43(101403) | , and ,
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Head and Neck Tumor Segmentation, Springer International Publishing, 2021 |
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Oropharynx Detection in PET-CT for Tumor Segmentation, in: Irish Machine Vision and Image Processing Conference, 2020, 2020 | , and ,
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Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis, in: Irish Machine Vision and Image Processing Conference, páginas 37-44, 2019 | , , , and ,
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Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2023 | , , and ,
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Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2022 |
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HEad and neCK TumOR segmentation and outcome prediction using AI: lessons from three consecutive years of the HECKTOR challenge, in: European Head and Neck Society (EHNS) on Artificial Intelligence (AI) in Head & Neck Oncology, Lausanne and virtual, 2023 | , , , , , , and ,
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Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT, in: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), páginas 4731-4735, 2022 | , , , , and ,
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HEad and neCK TumOR segmentation and outcome prediction: The HECKTOR challenge, in: European Society of Radiology, 2022 | , , , , , , , and ,
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Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT, páginas 1-21, 2021 | , , , , , , and ,
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Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans, in: Medical Imaging with Deep Learning, Montréal, Canada, 2020 | , , , , , , , and ,
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Automatic Detection and Multi-Component Segmentation of Brain Metastases in Longitudinal MRI (2025), in: Nature Scientic Reports | , , , , , , , , and ,
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The value of AI for assessing longitudinal brain metastases treatment response (2025), in: Neuro-Oncology Advances | , , , , , , and ,
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Overview of the 2023 ImageCLEFmedical GANs Task: Investigating GANs’ Impact on Artificial Biomedical Image Generation, in: CLEF 2023 working notes, 2023 | , , , , and ,
Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives, in: Italian Research Conference on Digital Libraries, Rome, Italy, 2014 | , , , , , and ,
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Explainable agents and robots: Results from a systematic literature review, in: Proceedings of AAMAS 2019, 2019 | , , and ,
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Cue-dependent circuits for illusory contours in humans (2016), in: NeuroImage, 129(335--344) | , , , , and ,
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Agent-Based Orchestration on a Swarm of Edge Devices, in: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems, Neuchatel, Switzerland, páginas 199–202, Association for Computing Machinery, 2023 | ,
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Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review (2024), in: IEEE Access, 12(116917--116938) | , , and ,
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Availability of sEMG controlled prosthetic arm components, Information Systems Institute, HES-SO Valais; EPFL, 2020 | , and ,
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Caractéristiques des innovations en production végétale: l'exemple du colza HOLL (2014), in: Recherche Agronomique Suisse:3(104 - 110) | , , and ,
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The next-generation ARC middleware (2010), in: Anales des Télécommunications, 65:11-12(771-776) | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
The Role of the Environment in Agreement Technologies (2013), in: Artificial Intelligence Review, 39:1(21-38) | , , , , , , , , , , , and ,
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Environment and Agreement Technologies (Position Paper), in: Proceedings of the 1st International Conference on Agreement Technologies, Dubrovnik, Croatia, CEUR Workshop Proceedings, 2012 | , , , , , , , , , , , and ,
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Machine Learning in Med Tech, 2017
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Glaucoma Prognostication Platform, Applied Machine Learning Days 2017, EPFL, Lausanne, Switzerland, 2017 | , , , , and ,
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A Sensor Networking Architecture for ENTROPY - Energy-Aware Information and Communication Technologies Infrastructure Enabling Smart Building Solutions (2017), in: ICWMC 2017 : The Thirteenth International Conference on Wireless and Mobile Communications(104-106) | , , , and ,
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Khresmoi Professional: Multilingual Semantic Search for Medical Professionals, in: SIGIR workshop on Health Data Discovery, Dublin, Ireland, 2013 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Khresmoi – multilingual semantic search of medical text and images, in: MedInfo 2013, Copenhagen, Denmark, 2013 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Khresmoi: Multimodal Multilingual Medical Information Search, in: Proceedings of the 24th International Conference of the European Federation for Medical Informatics, 2012 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods (2021), in: Journal of Personalized Medicine, 11:9 | , , , , , , , and ,
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