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End-to-end Fine-grained Neural Entity Recognition of Patients, Interventions, and Outcomes, in: CLEF proceedings, 2021 | , , , and ,
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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) | , , , , , , and ,
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RoBuster: A Corpus Annotated with Risk of Bias Text Spans in Randomized Controlled Trials (2024), in: JMIR Preprints | , , , , , , , and ,
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Machine Learning Assisted Citation Screening for Systematic Reviews, in: Medical Informatics Europe 2020, Geneva, Switzerland, 2020 | , , and ,
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Indian Life Science Journals: A Quest for Recognition, Citation, and Impact, in: Recent Trends in Science and Technology, páginas 204-213, 2020 | , and ,
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Exploiting the PubMed Central repository to mine out a large multimodal dataset of rare cancer studies, in: SPIE Medical Imaging, Houston, TX, USA, 2020 | , , , and ,
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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, páginas 1776–1782, Association for Computational Linguistics, 2023 | , , and ,
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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) | , and ,
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Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis., in: Medical Informatics Europe 2020, Geneva, páginas 58--62, IOS Press, 2020 | , , , , , and ,
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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) | and ,
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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, páginas 345--358, 2022 | and ,
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Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021 | , , and ,
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Green new cities: PNRR and Green New Deal - interview with Valentino Piana (2022), in: Zeta Luiss | and ,
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Política turística: La competitividad y sostenibilidad de los destinos, Tiran lo blanch, 2006 | , and ,
Lung Tissue Analysis: From Local Visual Descriptors To Global Modeling, University of Geneva, 2018 | ,
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Textured Graph--based Model of the Lungs: Application on Tuberculosis Type Classification and Multi--Drug Resistance Prediction, in: CLEF 2018, Avignon, France, 2018 | , and ,
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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 | , and ,
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QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, páginas 349-377, Elsevier, 2017 | , , , , , and ,
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Pulmonary Embolism Detection using Localized Vessel-Based Features in Dual Energy CT, in: SPIE Medical Imaging, páginas 941407-941407-10, SPIE, 2015 | , , , , and ,
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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, páginas 31-35, CEUR-WS, 2015 | , , and ,
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From Local to Global: A Holistic Lung Graph Model, in: MICCAI 2018, Granada, Spain, 2018 | , , , and ,
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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 | , , and ,
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Overview of ImageCLEFtuberculosis 2019 --- Automatic CT--based Report Generation and Tuberculosis Severity Assessment, in: CLEF working notes, Lugano, Switzerland, 2019 | , , , , and ,
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Overview of ImageCLEFtuberculosis 2018 - Detecting multi-drug resistance, classifying tuberculosis type, and assessing severity score, in: CLEF working notes, CEUR, 2018 | , , and ,
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Overview of ImageCLEF 2017 Tuberculosis Task – Predicting Tuberculosis Type and Drug Resistances, in: CLEF 2017 working Notes, Dublin Ireland, CEUR, 2017 | , , and ,
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Making Sense of Large Data Sets without Annotations: Analyzing Age–related Correlations from Lung CT Scans, in: SPIE Medical Imaging, SPIE, 2017 | , , , , and ,
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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 | and ,
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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 | and ,
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BatmanLab in the ImageCLEF Tuberculosis task 2017, in: ImageCLEF working Notes, Dublin, Ireland, 2017 | , and ,
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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, páginas 58-68, 2016 | , , , , , and ,
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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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An Automatically Generated Texture-based Atlas of the Lungs, in: SPIE Medical Imaging, SPIE, 2018 | , , , , and ,
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QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, Demonstration at SPIE MI 2017, 2017 |
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Gossip Learning in Edge-Retentive Time-Varying Random Graphs with Node Churn, 2024 | , and ,
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Vehicle Position Nowcasting with Gossip Learning (2022), in: IEEE WCNC | , , , and ,
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Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes, 2024 | , , , and ,
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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 | , , , , , and ,
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MediCoordination - Le projet de développement de l'interopérabilité entre hôpitaux et fournisseurs de soins externes., Clinicum Romandie, 2009 | , , , , , and ,
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Sensor monitoring of physical activity to improve glucose management in diabetic patients: a review (2016), in: Sensors, 16:4
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Entre informatique et paperasseries (2007), in: Le Nouvelliste, "" | ,
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La juste couche, Le Nouvelliste, 2010 | ,
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Newsletter suisse N°2, 2010 | , , and ,
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Etude de l’influence des prévisions météorologiques sur l’affluence aux remontées mécaniques en Valais pour la saison hivernale 2006-2007, 2007 | and ,
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The future internet, Springer LNCS, 2011 | , , , , , , , , , , , , , , , , , and ,
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Information Fusion for Medical Data: early, late and deep fusion methods for multimodal data (2020), in: Journal of Biomedical and Health informatics | , , , , and ,
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A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis | , , , , , and ,
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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 | , and ,
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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 | , , and ,
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