Alle Publikationen nach Autor sortiert
| 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 |
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| und , Biomedical Texture Operators and Aggregation Functions: A Methodological Review and User’s Guide, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, Seiten 55-94, Elsevier, 2017 |
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| , und , Fundamentals of Texture Processing for Biomedical Image Analysis: A General Definition and Problem Formulation, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, Seiten 1-27, Elsevier, 2017 |
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| , , , und , Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features, in: Machine Learning in Medical Imaging (MLMI), Seiten 107--115, Springer International Publishing, 2018 |
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| , , und , Prototypes for content-based image retrieval in clinical practice (2011), in: The Open Medical Informatics Journal (TOMIJ), 5(58-72) |
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| , , und , Rotation-covariant visual concept detection using steerable Riesz wavelets and bags of visual words, in: SPIE Wavelets and Sparsity XV, San Diego, CA, USA, Seiten 885816-885816-11, SPIE, 2013 |
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, , und , Rotation–covariant texture learning using steerable Riesz wavelets (2014), in: IEEE Transactions on Image Processing, 23:2(898-908)
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, , und , Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities (2014), in: Medical Image Analysis, 18:1(176-196)
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| , , und , Multiscale Lung Texture Signature Learning Using The Riesz Transform, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, Nice, France, Seiten 517-524, Springer Berlin / Heidelberg, 2012 |
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| , , und , Lung Texture Classification Using Locally–Oriented Riesz Components, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, Toronto, Canada, Seiten 231-238, Springer Berlin / Heidelberg, 2011 |
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| , , , , , und , Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion, in: IEEE 10th International Symposium on Biomedical Imaging, San Francisco, CA, USA, Seiten 149-152, IEEE, 2013 |
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| , , und , Overview of the Second Workshop on Medical Content--Based Retrieval for Clinical Decision Support, in: Medical Content--based Retrieval for Clinical Decision Support, Toronto, Canada, Seiten 1--11, Lecture Notes in Computer Sciences (LNCS), 2012 |
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| , , , , , und , A framework for diagnosing interstitial lung diseases in HRCT : the TALISMAN project (2008), in: Swiss Medical Informatics, 64(17-20) |
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| , , , , und , Computer-aided diagnostic for interstitial lung diseases in HRCT: the TALISMAN project, in: Swiss Conference on Medical Informatics, 2008 |
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| , , , , und , Lung Tissue Classification in HRCT data Integrating the Clinical Context, in: 21th IEEE Symposium on Computer-Based Medical Systems (CBMS), Seiten 542-547, 2008 |
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, , , , , , und , Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization (2010), in: Journal of Digital Imaging, 23:1(18-30)
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| , , , , , , und , A classification framework for lung tissue categorization, in: SPIE Medical Imaging, Seiten 69190C-69190C-12, 2008 |
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, , , und , Predicting Visual Semantic Descriptive Terms from Radiological Image Data: Preliminary Results with Liver Lesions in CT (2014), in: IEEE Transactions on Medical Imaging, 33:8(1-8)
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| , , , und , Texture-Based Computational Models of Biomedical Tissue in Radiological Images: Unveiling the Invisible, in: 14th Annual Symposium on Biomedical Computation at Stanford, Stanford, CA, USA, 2014 |
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| und , Medical visual information retrieval based on multi-dimensional texture modeling, in: Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11), Seiten 127-129, 2011 |
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| und , Sensors, Medical Images and Signal Processing: The Growth of Clinicians’ Expectations (2011), in: IMIA Yearbook of Medical Informatics, 6:1(92--95) |
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und , Sensors, Medical Images and Signal Processing: Comprehensive Multi--modal Diagnosis Aid Frameworks (2010), in: IMIA Yearbook of Medical Informatics, 5:1(43--46)
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und , Sensors, Medical Images and Signal Processing: Exploring Multi--Dimensional Medical Data (2009), in: IMIA Yearbook of Medical Informatics, 4:1(81-83)
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| und , Fusion Techniques for Combining Textual and Visual Information Retrieval, in: ImageCLEF, Seiten 95-114, Springer Berlin Heidelberg, 2010 |
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| , und , Yearbook 2012 section article, Yearbook of Medical Informatics, 2012 |
| , , , und , Computerized assistance for diagnosing interstitial lung disease in emergency radiology, in: Proceedings of the annual congress of the Swiss society of radiology, 2007 |
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| , , , , und , Image-based diagnostic aid for interstitial lung disease with secondary data integration, in: SPIE Medical Imaging, 2007 |
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| , , , , und , Building a library of annotated pulmonary CT cases for diagnostic aid, in: Swiss conference on medical informatics (SSIM 2006), 2006 |
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| , , , , , und , 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, Seiten 403-406, IEEE, 2015 |
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, , und , 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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| , , , , , und , 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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| , , , , , und , 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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| und , Quality Assessment for Interoperable Quantitative CT imaging (QA4IQI) - Open access to standardized quantitative imaging, HES-SO Valais-Wallis, 2022 |
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| , , , , , , , , und , Locoregional radiogenomic models to capture gene expression heterogeneity in glioblastoma (2018), in: biorXiv |
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, , , , und , 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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| , , und , Lung Tissue Analysis Using Isotropic Polyharmonic B-Spline Wavelets, in: MICCAI 2008 Workshop on Pulmonary Image Analysis, Seiten 125-134, 2008 |
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, , , , , und , 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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| , , , , , und , 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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, , , , und , Building a Reference Multimedia Database for Interstitial Lung Diseases (2012), in: Computerized Medical Imaging and Graphics, 36:3(227-238)
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| , , , , und , Content-based retrieval and analysis of HRCT images from patients with interstitial lung diseases, in: HUG Research Day 2009, 2009 |
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| , , , , und , 3D Case–Based Retrieval for Interstitial Lung Diseases, in: MCBR-CDS 2009: Medical Content-based Retrieval for Clinical Decision Support, London, UK, Seiten 39--48, Springer, 2010 |
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, , und , 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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| , , und , 3D Lung Image Retrieval Using Localized Features, in: Medical Imaging 2011: Computer-Aided Diagnosis, Orlando, FL, USA, Seiten 79632E, SPIE, 2011 |
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, und , Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion (2008), in: Pattern Recognition Letters, 29:15(1988-1995)
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, , , und , The CLEF 2005 Automatic Medical Image Annotation Task (2007), in: International Journal in Computer Vision, 74:1(51-58)
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, und , Editorial on the special issue on medical image annotation in ImageCLEF 2007 (2008), in: Pattern Recognition Letters, 29:15(1987)
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, und , Special issue of ImageCLEF (2008), in: Pattern Recognition Letters, 29(1987)
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| , , , und , 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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| , und , 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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| , , , , , , , , und , 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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| , und , 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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| 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 |