Todas as publicações sorted by author
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| , , , , and , Image-based diagnostic aid for interstitial lung disease with secondary data integration, in: SPIE Medical Imaging, 2007 |
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| , , , , and , Building a library of annotated pulmonary CT cases for diagnostic aid, in: Swiss conference on medical informatics (SSIM 2006), 2006 |
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| , , , , , and , Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: classification of usual interstitial pneumonia, in: IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, NY, USA, páginas 403-406, IEEE, 2015 |
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, , and , Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification (2017), in: IEEE Transactions on Image Processing, 26:4(1626-1636)
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| , , , , , and , Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography (2010), in: Artificial Intelligence in Medicine, 50:1(13--21) |
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| , , , , , and , Lung Tissue Classification Using Wavelet Frames, in: Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2007 |
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| and , Quality Assessment for Interoperable Quantitative CT imaging (QA4IQI) - Open access to standardized quantitative imaging, HES-SO Valais-Wallis, 2022 |
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| , , , , , , , , and , Locoregional radiogenomic models to capture gene expression heterogeneity in glioblastoma (2018), in: biorXiv |
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, , , , and , Near–Affine–Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames (2012), in: IEEE Transactions on Information Technology in BioMedicine, 16:4(665-675)
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| , , and , Lung Tissue Analysis Using Isotropic Polyharmonic B-Spline Wavelets, in: MICCAI 2008 Workshop on Pulmonary Image Analysis, páginas 125-134, 2008 |
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, , , , , and , Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows (2012), in: International Journal of Computer Assisted Radiology and Surgery, 7:1(97-110)
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| , , , , , and , Content-based retrieval and analysis of HRCT images from patients with interstitial lung diseases: a comprehesive diagnostic aid framework, in: Computer Assited Radiology and Surgery (CARS) 2010, Geneva, Switzerland, 2010 |
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, , , , and , Building a Reference Multimedia Database for Interstitial Lung Diseases (2012), in: Computerized Medical Imaging and Graphics, 36:3(227-238)
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| , , , , and , Content-based retrieval and analysis of HRCT images from patients with interstitial lung diseases, in: HUG Research Day 2009, 2009 |
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| , , , , and , 3D Case–Based Retrieval for Interstitial Lung Diseases, in: MCBR-CDS 2009: Medical Content-based Retrieval for Clinical Decision Support, London, UK, páginas 39--48, Springer, 2010 |
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, , and , Predicting Adenocarcinoma Recurrence Using Computational Texture Models of Nodule Components in Lung CT (2015), in: Medical Physics, 42:4(2054-2063)
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| , , and , 3D Lung Image Retrieval Using Localized Features, in: Medical Imaging 2011: Computer-Aided Diagnosis, Orlando, FL, USA, páginas 79632E, SPIE, 2011 |
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, and , Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion (2008), in: Pattern Recognition Letters, 29:15(1988-1995)
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, , , and , The CLEF 2005 Automatic Medical Image Annotation Task (2007), in: International Journal in Computer Vision, 74:1(51-58)
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, and , Editorial on the special issue on medical image annotation in ImageCLEF 2007 (2008), in: Pattern Recognition Letters, 29:15(1987)
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, and , Special issue of ImageCLEF (2008), in: Pattern Recognition Letters, 29(1987)
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| , , , and , User acceptance of clinical information systems: A methodological approach to identify the key dimensions allowing a reliable evaluation framework (2004), in: MedInfo 2004, 11:2(1038-1042) |
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| , and , Evaluating user interactions with clinical information systems: A model based on human-computer interaction models (2005), in: Journal of Biomedical Informatics, 38:3(244-255) |
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| , , , , , , , , and , Structured radiology report text analysis using natural language processing for automatic billing, in: Image Perception, Observer Performance, and Technology Assessment, 2024 |
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| , and , Survey: When semantics meet Crowdsourcing to enhance Big Data Variety, in: 2018 IEEE Middle East & North Africa COMMunications Conference, Jounieh, Lebanon, IEEE, 2018 |
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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, páginas 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, páginas 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, páginas 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) |
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| 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, páginas 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, páginas 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, páginas 941407-941407-10, SPIE, 2015 |
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| , , 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, páginas 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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| 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 |