Palavras-chave:
- 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
Publications of Adrien Depeursinge sorted by first author
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| , , , , and , A multimedia library of interstitial lung diseases at the University Hospitals of Geneva, in: Swiss Society of Radiology (SSR 2009), 2009 |
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| , , , , , , and , Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows, in: ACM CHI 2023, 2023 |
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| , , , , and , GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets, in: 24th IEEE Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Heraklion Crete, Greece, páginas 431--434, 2016 |
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| , , , , , , , , , , , and , Impact of deep learning segmentation methods on the robustness of MR glioblastoma radiomics, in: 2022 Annual Meeting of the European Society of Radiation Oncology (ESTRO), 2022 |
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| , , , , , and , The Image Biomarker Standardisation Initiative (IBSI) On Reproducible Convolutional Radiomics, in: European Society of Radiology, 2022 |
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, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights (2024), in: Radiology, 310:2
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| , , , and , Text- and content-based medical image retrievals in the VISCERAL retrieval benchmark, Springer, 2017 |
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, , , and , USYD/HES-SO in the VISCERAL Retrieval Benchmark, in: ECIR workshop on Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer Lecture Notes in Computer Science (LNCS), 2015
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| , and , Information Fusion for Combining Visual and Textual Image Retrieval, in: 20th IEEE International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, páginas 1590--1593, 2010 |
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, and , Hierarchical classification using a frequency-based weighting and simple visual features (2008), in: Pattern Recognition Letters, 29:15(2011-2017)
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| , , , and , Grid Computing Inside Hospitals using Virtualization Technology: A secure solution for heavy computing tasks, in: Annual Conference for Swiss Society of Medical Informatics, Bern, Switzerland, 2009 |
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| , , , and , Case-based Visual Retrieval of Fractures, in: Computer Assisted Radiology and Surgery (CARS) 2010, Geneva, Switzerland, 2010 |
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| , , , , and , An easy setup for Parallel medical Image Processing: Using Taverna and ARC, in: Proceedings of HealthGrid 2009, páginas 41-50, 2009 |
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| , , , and , Grid Computing Inside Hospitals using Virtualization Technology: A secure solution for heavy computing tasks, in: HUG Research Day 2009, 2009 |
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| , , and , A Medical Image Retrieval Application Using Grid Technologies To Speed Up Feature Extraction in Medical Image Retrieval (2009), in: Philippine Journal of Information Technology |
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| , , and , A Medical Image Retrieval Application Using Grid Technologies to Speed Up Feature Extraction, in: ICT4Health, 2008 |
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, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Standardized quantitative radiomics for high-throughput image-based phenotyping (2020), in: Radiology, 295:2(328-338)
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