Trefwoorden:
- 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
Publicaties van Adrien Depeursinge gesorteerd op titel
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| , , , en , Building a Community Grid for Medical Image Analysis inside a Hospital, a Case Study, in: Medical imaging on grids: achievements and perspectives (Grid Workshop at MICCAI 2008), pagina's 3-12, 2008 |
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| , , , , en , Building a library of annotated pulmonary CT cases for diagnostic aid, in: Swiss conference on medical informatics (SSIM 2006), 2006 |
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, , , , en , Building a Reference Multimedia Database for Interstitial Lung Diseases (2012), in: Computerized Medical Imaging and Graphics, 36:3(227-238)
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, , , , , en , 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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| , , , en , Case-based Visual Retrieval of Fractures, in: Computer Assisted Radiology and Surgery (CARS) 2010, Geneva, Switzerland, 2010 |
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, , , , , , , , , en , Cleaning Radiotherapy Contours for Radiomics Studies, is it Worth it? A Head and Neck Cancer Study (2022), in: Clinical and Translational Radiation Oncology, 33(153-158)
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, , , , en , Clinical Data Mining: a Review (2009), in: Yearbook of Medical Informatics(121-133)
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| , , , , en , Clinical information system for advanced cerebral aneurysm management, in: Swiss Conference on Medical Informatics, 2008 |
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| , , , , , , , en , Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, pagina's 581-588, Springer International Publishing, 2015 |
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, , , , , , en , 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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| , , , , en , 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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| , , , , , , , , , en , Comparing Stability and Discriminatory Power of Handcrafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, in: 12th IEEE European Workshop on Visual Information Processing, pagina's 62-66, 2024 |
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| , , , , , , , , , en , Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction (2024), in: Nature Scientific Reports, 14:9644 |
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| , , , , , en , Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma, in: IEEE Engineering in Medicine and Biology Conference, 2020 |
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| , , , , , , , en , Comparison of MR preprocessing strategies and sequences for radiomics-based MGMT prediction, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI/BrainLes 2021), Cham, pagina's 367–380, Springer International Publishing, 2022 |
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| , , , , en , Computer-aided diagnostic for interstitial lung diseases in HRCT: the TALISMAN project, in: Swiss Conference on Medical Informatics, 2008 |
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| , , , en , 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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| , , en , Consistency of Scale Covariance in Internal Representations of CNNs, in: Irish Machine Vision and Image Processing Conference, 2020 |
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| , , , , , en , Content-based image retrieval from a database of fracture images, in: Medical Imaging 2007: PACS and Imaging Informatics, pagina's 65160H, 2007 |
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| , , , , en , Content-based retrieval and analysis of HRCT images from patients with interstitial lung diseases, in: HUG Research Day 2009, 2009 |
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| , , , , , en , 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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| , , , , , , , , , , en , Contribution of quantitative I-123-ioflupane SPECT/CT to the differential diagnosis of dementia with lewy bodies (2026), in: European Journal of Nuclear Medicine and Molecular Imaging, 53:4(2777--2785) |
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| , , , , , , , , , , en , Contribution of Quantitative I-123-ioflupane SPECT/CT to the Differential Diagnosis of Dementia with Lewy Bodies (2025), in: European Journal of Nuclear Medicine and Molecular Imaging |
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| , , , , , en , Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer, in: 2022 Annual Meeting of the European Society of Radiation Oncology (ESTRO), 2022 |
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| , , , , , , , , , , , en , Deep learning PET/CT-based algorithm for estimating tumor burden in metastatic melanoma patients under immunotherapy, in: ESTRO 2025, 2025 |
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| , , , , , , , , , , , , en , Deep learning [18F]-FDG-PET/CT‑based algorithm for tumor burden estimation in metastatic melanoma patients under immunotherapy (2026), in: Clinical and Translational Radiation Oncology, 56(101063) |
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| , , , , , , , , , , en , Deep-PRL: a deep learning network for the identification of paramagnetic rim lesions in multiple sclerosis, in: ISMRM 2025, 2025 |
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| , , , , , en , Design implications of repurposing a radiomics research platform for education: The case of QuantImage v2, 2024 |
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| , , , , en , Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects, in: MedInfo 2007, pagina's 325-329, 2007 |
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| , , en , 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, pagina's 31-35, CEUR-WS, 2015 |
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| , , en , Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, pagina's 6710-6713, 2014 |
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| , , , en , Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, pagina's 353-360, Springer Berlin Heidelberg, 2013 |
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| , , , , , , en , Evaluation of PaIRe PET/CT segmentation software as cancerous lesion contouring tool in fully- automated annotation workflows for image-based research studies, in: Annual Congress of the European Association of Nuclear Medicine, 2023 |
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, , , , , en , 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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| , , , , , , , , , , , en , Explainability in automatic Paramagnetic Rim Lesion classification, in: 40th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2024 |
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| , , , , , , , , , , , , , , , en , Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors, 2025 |
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| , , , , , , en , Exploiting XAI maps to improve MS lesion segmentation and detection in MRI, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2025 |
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, , , en , Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, pagina's 15-26, Proceedings of Machine Learning Research, 2019
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| , en , Faciliter l'utilisation des grilles de calcul dans le domaine biomédical: Le projet KnowARC, in: Journées francophones d'informatique médicale, 2007 |
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| , , en , Fast Rotational Sparse Coding (2018)(arXiv:1806.04374) |
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, , , , , , , , , en , 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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| , , , , , , , en , FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps, in: Bern Interpretable AI Symposium (BIAS), 2023 |
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| , , , , , , , , , , , en , Foundation Model–Enhanced Classification of Paramagnetic Rim Lesions in Multiple Sclerosis, MSToronto2026 – 10th Joint ACTRIMS-ECTRIMS Meeting, 2026 |
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| , , , , , en , Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT, in: Multimodal Learning for Clinical Decision Support, pagina's 59-68, Springer LNCS, 2021 |
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| , , , , , , , , en , Fully Automatic Left Ventricle Segmentation in 82Rb PET/CT Using a Semi-Supervised nnU-Net (2026), in: EJNMMI Research |
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| , , , , , , , , , en , Fully Automatic Left Ventricle Segmentation in Dynamic 82Rb PET/CT Using Deep Learning, Annual Swiss Congress of Radiology (SCR), 2026 |
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| , en , Fundamentals of Texture Processing for Biomedical Image Analysis: A General Definition and Problem Formulation, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pagina's 1-27, Elsevier, 2017 |
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, , en , Fusing Learned Representations from Riesz and Deep CNNs for Lung Tissue Classification (2019), in: Medical Image Analysis, 56(172-183)
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