Schlagworte:
- https://publications.hevs.ch/index.php/keywords/single/197
- 3D imaging
- 3D information retrieval
- 3D texture
- 82Rb PET/CT
- AI
- ARC
- artificial intelligence
- Atlas
- Automatic segmentation
- Benchmarking
- big data
- Biological tissue
- Brain
- CAD
- case-based retrieval
- Challenge
- Classification
- clinical data
- clinical data analysis
- clinical workflows
- Computer Vision and Pattern Recognition (cs.CV)
- computer-aided diagnosis
- computerised tomography
- computing infrastructures
- Content-based image retrieval
- conversation analysis
- Cortical lesions
- Cox Model
- cs.CV
- data mining
- Deep convolutional neural network
- Deep Learning
- Desktop Grid
- detection
- Discrete wavelet transform
- eHealth
- Epilepsy
- ethnomethodology
- evaluation
- exoticism
- feature extraction
- FOS: Computer and information sciences
- fracture retrieval
- Grid
- Hadoop
- head and neck cancer
- Healthcare
- HealthGrid
- High-resolution lung CT
- Hospital
- Human-Centered Computing
- image acquisition
- image analysis
- image classif
- image classification
- Image databases
- image processing
- image retrieval
- image storage
- ImageCLEF
- information fusion
- information retrieval
- information retrieval evaluation
- information retrieval literature
- Information Systems
- Infrastructures for computation
- interstitial lung diseases
- Left Ventricle Segmentation
- Lesion detection
- Lesion segmentation
- lung
- Lung image
- Lung image analysis
- Lung image retrieval
- lung segmentation
- lung tissue classification
- machine learning
- Machine Learning (cs.LG)
- Magnetic resonance imaging
- MapReduce
- medical image analysis
- Medical image analysis and retrieval
- medical image processing
- Medical image retrieval
- medical imaging
- Medical informatics
- Medical information retrieval
- mentalism
- mobile devices
- mobile information retrieval
- MRI
- multi-atlas based segmentation
- multidimensional image data analysis
- multimedia library
- Multimodal information retrieval and information fusion
- Multiple sclerosis
- Myocardial Blood Flow
- nosocomial infection
- oncology
- organ segmentation
- Oropharynx
- radiomics
- retrieval
- Riesz
- Riesz transform
- Rubidium PET
- scalability
- Security
- segmentation
- signal processing
- social interaction
- support vector machines
- Systematic Review
- Taverna
- technologism
- test collection
- test collection creation including signals and images
- texture analysis
- texture classification
- Transmural Perfusion
- Trustworthy AI
- user interface
- user interfaces
- User testing and task analysis
- virtualization
- visceral-project
- visual feature extraction
- visual inforamtion retrieval
- visual information retrieval
- wavelet
- wavelets
- Yearbook
Publikationen von Adrien Depeursinge sortiert nach erstem Autor
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, , , , , , , , , , , , und , PET-based predictive survival model after radiotherapy for head and neck cancer (2019), in: European Journal of Nuclear Medicine and Molecular Imaging, 46:3(638-649)
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| , , , , , , , , und , Valeur de la TEP au 18-FDG pour prédire la récidive dans les cancers ORL non oropharyngé traités par radio-chimiothérapie, in: Société Française de radiothérapie Oncologique, 2017 |
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, , , , , , , , , , , , und , A PET-based nomogram for oropharyngeal cancers (2017), in: European Journal of Cancer, 75(222-230)
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| , , , , , , , , , , , und , Multi-Method eXplainability for Similarity Assessment in AI-Denoised PET Imaging, in: IEEE International Symposium on Biomedical Imaging (ISBI), 2026 |
| , , , und , Teaching Radiomics through an Interactive Platform: A Qualitative Study on the Use of QuantImage in Medical Education, European Society of Medical Imaging Informatics (EuSoMII), 2025 |
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| , , , , , , , , , , und , AI-based Prediction of Myocardium Viability Using [82Rb] PET/CT, Annual Congress of the European Association of Nuclear Medicine (EANM), 2025 |
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| , , , , , , , und , Transmural myocardial blood flow characterization with AI-enabled parametric mapping improves prediction of major adverse cardiac events, Annual Congress of the American Society of Nuclear Cardiology (ASNC), 2026 |
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| , , , , , , , und , AI-Driven Volumetric 17-Segment Myocardial Blood Flow Characterisation Using [82Rb] PET/CT, ePoster at the Annual Congress of the European Association of Nuclear Medicine (EANM), 2026 |
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| , , , , und , A Bispectral 3D UNet for Rotation Robustness in Medical Segmentation, in: The First Workshop on Topology- and Graph-Informed Imaging Informatics at MICCAI, Seiten 43-54, Springer Nature Switzerland, 2024 |
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, , , , , und , Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness (2019), in: Nature Scientific Reports, 9:1(4500)
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, , , , , , , und , A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT (2016), in: IEEE Transactions on Medical Imaging, 35:12(2620-2630)
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| , , , , , , und , 3D Riesz–wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seiten 7909-7912, 2015 |
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, , , , , und , Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients with Surgically Treated Head and Neck Cancer: A Systematic Review (2020), in: JAMA Otolaryngology - Head and Neck Surgery, 146:5(471-479)
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, , , , , , , , , und , FDG-PET/CT-based prognostic survival model after surgery for head and neck cancer (2022), in: Journal of Nuclear Medicine, 63:1
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| , , , , und , Prognostic value of PSMA theranostic imaging in mCRPC using a fully automatic AI pipeline, Annual Congress of the European Association of Nuclear Medicine (EANM), 2026 |
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| , Multi-Scale and Multi-Directional Biomedical Texture Analysis: Finding the Needle in the Haystack, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, Seiten 29-53, Elsevier, 2017 |
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| , Affine–invariant texture analysis and retrieval of 3D medical images with clinical context integration, University of Geneva, 2010 |
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| , und , Biomedical Texture Analysis: Fundamentals, Applications and Tools, Elsevier, Elsevier-MICCAI Society Book series, 2017 |
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| , , , , , , und , Standardised convolutional filtering for radiomics, 2020 |
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| , , , und , A computerized score for the automated differentiation of usual interstitial pneumonia from regional volumetric texture analysis, in: Radiological Society of North America, scientific paper, 2014 |
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, , , , , und , Automated Classification of Usual Interstitial Pneumonia using Regional Volumetric Texture Analysis in High-Resolution CT (2015), in: Investigative Radiology, 50:4(261-267)
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| , , , , und , Comparing 18-FDG PET 3D texture attributes for the prediction of survival and recurrence in oropharyngeal cancers treated with radiotherapy, in: Workshop on the Prediction and Modeling of response to Molecular and External Beam Radiotherapies, Le Bono, France, 2017 |
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, , und , Mobile Medical Visual Information Retrieval (2012), in: IEEE Transactions on Information Technology in BioMedicine, 16:1(53-61)
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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 , 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 , Rotation–covariant texture learning using steerable Riesz wavelets (2014), in: IEEE Transactions on Image Processing, 23:2(898-908)
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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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