All publications sorted by author
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| , , , and , End-to-end Fine-grained Neural Entity Recognition of Patients, Interventions, and Outcomes, in: CLEF proceedings, 2021 |
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| , , , , , , and , First Steps Towards a Risk of Bias Corpus of Randomized Controlled Trials (2023), in: CARING IS SHARING--EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION(586) |
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| , , , , , , , and , RoBuster: A Corpus Annotated with Risk of Bias Text Spans in Randomized Controlled Trials (2024), in: JMIR Preprints |
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| , , and , Machine Learning Assisted Citation Screening for Systematic Reviews, in: Medical Informatics Europe 2020, Geneva, Switzerland, 2020 |
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| , and , Indian Life Science Journals: A Quest for Recognition, Citation, and Impact, in: Recent Trends in Science and Technology, pages 204-213, 2020 |
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| , , , and , Exploiting the PubMed Central repository to mine out a large multimodal dataset of rare cancer studies, in: SPIE Medical Imaging, Houston, TX, USA, 2020 |
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| , , and , HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada, pages 1776–1782, Association for Computational Linguistics, 2023 |
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| , and , PICO to PICOS: Weak Supervision to Extend Datasets with New Labels (2024), in: Stud Health Technol Inform, Volume 316: Digital Health and Informatics Innovations for Sustainable Health Care Systems(1775 - 1779) |
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| , , , , , and , Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis., in: Medical Informatics Europe 2020, Geneva, pages 58--62, IOS Press, 2020 |
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| and , Not so weak PICO: leveraging weak supervision for participants, interventions, and outcomes recognition for systematic review automation (2023), in: Journal of American Medical Informatics Association Open (JAMIA Open), 6:1(ooac107) |
[DOI] [URL] |
| and , DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature, in: Proceedings of the 21st Workshop on Biomedical Language Processing, Dublin, Ireland, pages 345--358, 2022 |
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| , , and , Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021 |
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| and , Green new cities: PNRR and Green New Deal - interview with Valentino Piana (2022), in: Zeta Luiss |
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| , and , Política turística: La competitividad y sostenibilidad de los destinos, Tiran lo blanch, 2006 |
| , Lung Tissue Analysis: From Local Visual Descriptors To Global Modeling, University of Geneva, 2018 |
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| , and , Textured Graph--based Model of the Lungs: Application on Tuberculosis Type Classification and Multi--Drug Resistance Prediction, in: CLEF 2018, Avignon, France, 2018 |
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| , and , Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: participation in ImageCLEF 2017, in: ImageCLEF working Notes 2017, Dublin, Ireland, 2017 |
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| , , , , , and , QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pages 349-377, Elsevier, 2017 |
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| , , , , and , Pulmonary Embolism Detection using Localized Vessel-Based Features in Dual Energy CT, in: SPIE Medical Imaging, pages 941407-941407-10, SPIE, 2015 |
[DOI] [URL] |
| , , and , Efficient and fully automatic segmentation of the lungs in CT volumes, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, New York, USA, pages 31-35, CEUR-WS, 2015 |
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| , , , and , From Local to Global: A Holistic Lung Graph Model, in: MICCAI 2018, Granada, Spain, 2018 |
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| , , and , A Graph Model of the Lungs with Morphology-based Structure for Tuberculosis Type Classification, in: The 26th International Conference on Information Processing in Medical Imaging (IPMI), 2019 |
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| , , , , and , Overview of ImageCLEFtuberculosis 2019 --- Automatic CT--based Report Generation and Tuberculosis Severity Assessment, in: CLEF working notes, Lugano, Switzerland, 2019 |
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| , , and , Overview of ImageCLEFtuberculosis 2018 - Detecting multi-drug resistance, classifying tuberculosis type, and assessing severity score, in: CLEF working notes, CEUR, 2018 |
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| , , and , Overview of ImageCLEF 2017 Tuberculosis Task – Predicting Tuberculosis Type and Drug Resistances, in: CLEF 2017 working Notes, Dublin Ireland, CEUR, 2017 |
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| , , , , and , Making Sense of Large Data Sets without Annotations: Analyzing Age–related Correlations from Lung CT Scans, in: SPIE Medical Imaging, SPIE, 2017 |
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| and , Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation, in: CLEF working notes 2019, Lugano Switzerland, 2019 |
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| and , Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task, in: CLEF working notes, Avignon, France, CEUR, 2018 |
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| , and , BatmanLab in the ImageCLEF Tuberculosis task 2017, in: ImageCLEF working Notes, Dublin, Ireland, 2017 |
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| , , , , , and , A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT images, in: MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, pages 58-68, 2016 |
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, , , and , 3-D Solid Texture Classification Using Locally-Oriented Wavelet Transforms (2017), in: IEEE Transactions on Image Processing, 26:4(1899-1910)
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[DOI] |
| , , , , and , An Automatically Generated Texture-based Atlas of the Lungs, in: SPIE Medical Imaging, SPIE, 2018 |
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| , and , QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, Demonstration at SPIE MI 2017, 2017 |
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| , and , Gossip Learning in Edge-Retentive Time-Varying Random Graphs with Node Churn, 2024 |
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| , , , and , Vehicle Position Nowcasting with Gossip Learning (2022), in: IEEE WCNC |
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| , , , and , Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes, 2024 |
[DOI] [URL] |
| , , , , , and , L'échange des données de santé entre hôpitaux et acteurs de la santé - le projet MediCoordination (2014), in: Journal de l'Association Suisse des Techniciens en Radiologie Médicale |
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| , , , , , and , MediCoordination - Le projet de développement de l'interopérabilité entre hôpitaux et fournisseurs de soins externes., Clinicum Romandie, 2009 |
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and , Sensor monitoring of physical activity to improve glucose management in diabetic patients: a review (2016), in: Sensors, 16:4
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[DOI] |
| , Entre informatique et paperasseries (2007), in: Le Nouvelliste, "" |
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| , La juste couche, Le Nouvelliste, 2010 |
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| , , and , Newsletter suisse N°2, 2010 |
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| and , Etude de l’influence des prévisions météorologiques sur l’affluence aux remontées mécaniques en Valais pour la saison hivernale 2006-2007, 2007 |
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| , , , , , , , , , , , , , , , , , and , The future internet, Springer LNCS, 2011 |
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| , , , , and , Information Fusion for Medical Data: early, late and deep fusion methods for multimodal data (2020), in: Journal of Biomedical and Health informatics |
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| , , , , , and , A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis |
[DOI] |
| , and , When Rationality Entered Time and Became a Rational Agent in a Cyber Society, in: In proceedings of 3rd International Conference on 'Recent Trends and Applications in Computer Science and Information Technology', Tirana, 2018 |
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| , , and , D1NAMO, A Personal Health System for Glycemic Events Detection, in: Workshop Artificial Intelligence for Diabetes, 22nd European Conference on Artificial Intelligence (ECAI 2016), ECAI, The Hague, Netherlands, 2016 |
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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 | 2851-2891 |