Todas as publicações sorted by author
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| and , Requirements and Design of Interoperability Case Studies, University of Applied Sciences Western Switzerland (HES-SO), 2011 |
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| and , The Open-Source Integrating the Healthcare Enterprise (IHE), in: Proceedings of the IADIS e-Health conference, Rome, Italy, 2011 |
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| and , A medical interoperability architecture, in: Proceedings of the IADIS International Conference e-Health 2010, Freiburg, Germany, 2010 |
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| , and , 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 |
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| , , , , , , , , and , 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 |
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| , , , , , , , , and , 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 |
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| , , , and , DiagnosticAid: une plateforme collaborative pour les guides de pratique en médecine générale (2015), in: Swiss Medical Informatics, 31 |
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| , , , , and , 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 |
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| , , and , RT-BDI: A Real-Time BDI model, in: Proceedings of 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2020 |
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| , , , and , In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap, in: Post-Proceedings o EXTRAAMAS 2020, 2020 |
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| , , , , , , , , and , Left Ventricle Segmentation in Dynamic 82Rb PET/CT Using Deep Convolutional Neural Networks, 2025 |
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| , , and , Translational Medicine - The Need for Integrative Informatics, in: Medical Informatics Europe (MIE), Oslo, Norway, 2011 |
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| and , Rotational 3D Texture Classification Using Group Equivariant CNNs (2018), in: ArXiv |
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| , and , 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 |
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| , and , Neural Network Training for Cross-Protocol Radiomic Feature Standardization in Computed Tomography (2019), in: Journal of Medical Imaging, 6:3(024008) |
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, , , and , Local Rotation Invariance in 3D CNNs (2020), in: Medical Image Analysis, 65(101756)
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, , , and , 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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| , , , , , and , 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 |
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| , , and , Consistency of Scale Covariance in Internal Representations of CNNs, in: Irish Machine Vision and Image Processing Conference, 2020 |
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| and , Deep Multimodal Classification of Image Types in Biomedical Journal Figures, in: CLEF 2018, Avignon, France, Springer, 2018 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , 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 |
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| , , , , , , , , , and , 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 |
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, , , , , , , , , , and , 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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| , and , Wide kernels and their DCT compression in convolutional networks for nuclei segmentation (2023), in: Informatics in Medicine Unlocked, 43(101403) |
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| Head and Neck Tumor Segmentation, Springer International Publishing, 2021 |
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| , and , Oropharynx Detection in PET-CT for Tumor Segmentation, in: Irish Machine Vision and Image Processing Conference, 2020, 2020 |
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| , , , and , Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis, in: Irish Machine Vision and Image Processing Conference, páginas 37-44, 2019 |
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| , , and , Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2023 |
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| Head and Neck Tumor Segmentation and Outcome Prediction, Springer International Publishing, 2022 |
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| , , , , , , and , 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 |
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| , , , , and , 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 |
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| , , , , , , , and , HEad and neCK TumOR segmentation and outcome prediction: The HECKTOR challenge, in: European Society of Radiology, 2022 |
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| , , , , , , and , Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT, páginas 1-21, 2021 |
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| , , , , , , , and , Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans, in: Medical Imaging with Deep Learning, Montréal, Canada, 2020 |
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| , , , , , , , , and , Automatic Detection and Multi-Component Segmentation of Brain Metastases in Longitudinal MRI (2024), in: Nature Scientic Reports, 14:1(1-10) |
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| , , , , , , and , The value of AI for assessing longitudinal brain metastases treatment response (2025), in: Neuro-Oncology Advances, 7:1 |
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| , , , , and , Overview of the 2023 ImageCLEFmedical GANs Task: Investigating GANs’ Impact on Artificial Biomedical Image Generation, in: CLEF 2023 working notes, 2023 |
| , , , , , , and , Overview of ImageCLEFMedical 2025 GANs Task: Training Data Analysis and Fingerprint Detection (2025), in: CLEF 2025 Working Notes, 9 – 12 September 2025, Madrid, Spain / coeur-ws.org, 4038(paper 169) |
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| , , , , , and , Measuring and Analyzing the Scholarly Impact of Experimental Evaluation Initiatives, in: Italian Research Conference on Digital Libraries, Rome, Italy, 2014 |
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| , , and , Explainable agents and robots: Results from a systematic literature review, in: Proceedings of AAMAS 2019, 2019 |
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| , , , , and , Cue-dependent circuits for illusory contours in humans (2016), in: NeuroImage, 129(335--344) |
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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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| , and , An Edge-Enabled Web of Things Framework for Home Rehabilitation Monitoring of Older Adults (2026), in: IEEE Access, 14(39294--39306) |
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| , , and , Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review (2024), in: IEEE Access, 12(116917--116938) |
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| , , and , Web of Things Framework for Remote Health Monitoring of Older Adults, in: 2025 IEEE 45th International Conference on Distributed Computing Systems Workshops (ICDCSW), páginas 171--176, IEEE, 2025 |
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| , and , Availability of sEMG controlled prosthetic arm components, Information Systems Institute, HES-SO Valais; EPFL, 2020 |
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| , , and , Caractéristiques des innovations en production végétale: l'exemple du colza HOLL (2014), in: Recherche Agronomique Suisse:3(104 - 110) |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , 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) |
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| , , , , , , , , , , , and , Environment and Agreement Technologies (Position Paper), in: Proceedings of the 1st International Conference on Agreement Technologies, Dubrovnik, Croatia, CEUR Workshop Proceedings, 2012 |
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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2900 | 2901-2950 | 2951-3000 | 3001-3015 |