Palavras-chave:
- https://publications.hevs.ch/index.php/keywords/single/197
- 3D information retrieval
- 3D texture
- AI
- ARC
- artificial intelligence
- Atlas
- Automatic segmentation
- Benchmarking
- big data
- Biological tissue
- 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
- data mining
- Desktop Grid
- Discrete wavelet transform
- eHealth
- Epilepsy
- ethnomethodology
- evaluation
- feature extraction
- FOS: Computer and information sciences
- fracture retrieval
- Grid
- Hadoop
- head and neck cancer
- HealthGrid
- High-resolution lung CT
- Hospital
- 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
- Lesion detection
- Lesion segmentation
- lung
- Lung image
- Lung image analysis
- Lung image retrieval
- lung segmentation
- lung tissue classification
- machine learning
- Machine Learning (cs.LG)
- MapReduce
- medical image analysis
- Medical image analysis and retrieval
- medical image processing
- Medical image retrieval
- medical imaging
- Medical informatics
- Medical information retrieval
- mobile devices
- mobile information retrieval
- MRI
- multi-atlas based segmentation
- multidimensional image data analysis
- multimedia library
- Multimodal information retrieval and information fusion
- Multiple sclerosis
- nosocomial infection
- oncology
- organ segmentation
- Oropharynx
- radiomics
- retrieval
- Riesz
- Riesz transform
- scalability
- Security
- signal processing
- social interaction
- support vector machines
- Systematic Review
- Taverna
- test collection
- test collection creation including signals and images
- texture analysis
- texture classification
- 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 , Asymmetric margin support vector machines for lung tissue classification, in: IEEE International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, páginas 1--8, 2010 |
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| , , , , and , How clinical information systems can support life science research (2008), in: Swiss Medical Informatics, 64(21-24) |
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| , , , , and , Clinical information system for advanced cerebral aneurysm management, in: Swiss Conference on Medical Informatics, 2008 |
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| , , , , and , Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects, in: MedInfo 2007, páginas 325-329, 2007 |
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| , , , , , , , , and , Revealing most suitable CT radiomics features for retrospective studies with heterogeneous datasets, in: European Congress of Radiology (ECR) 2021, ONLINE edition, 2021 |
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, , , , , , , , and , The discriminative power and stability of radiomics features with CT variations: Task-based analysis in an anthropomorphic 3D-printed CT phantom (2021), in: Investigative Radiology, 56:12(820-825)
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| , , , , , , , , , and , 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, páginas 62-66, 2024 |
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| , , , , , , , , and , Assessment of the stability and discriminative power of radiomics features in liver lesions using an anthropomorphic 3D-printed CT phantom, in: Scientific session SGR-SSR, 2021 |
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| , , and , Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, páginas 22-26, CEUR-WS, 2015 |
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| , , and , Texture classification of anatomical structures in CT using a context-free machine learning approach, in: SPIE Medical Imaging 2015, páginas 94140W-94140W-14, SPIE, 2015 |
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| , , , and , Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, páginas 353-360, Springer Berlin Heidelberg, 2013 |
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| , and , Rotation-Covariant Tissue Analysis for Interstitial Lung Diseases Using Learned Steerable Filters: Performance Evaluation and Relevance for Diagnostic Aid (2018), in: Computerized Medical Imaging and Graphics, 64(1-11) |
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, , and , Fusing Learned Representations from Riesz and Deep CNNs for Lung Tissue Classification (2019), in: Medical Image Analysis, 56(172-183)
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| , , , , and , PET/CT Radiomics predict Pulmonary Lymphangitic Carcinomatosis (PLC) in Non-Small Cell Lung Cancer (NSCLC) (2020), in: Journal of Nuclear Medicine, 61:supplement 1(1311--1311) |
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| , , , and , A semantic framework for the retrieval of similar radiological images based on medical annotations, in: IEEE International Conference on Image Processing, Paris, France, páginas 2241-2245, IEEE, 2014 |
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, , , and , On combining visual and ontological similarities for medical image retrieval applications (2014), in: Medical Image Analysis, 18:7(1082–1100)
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision, 2023 |
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| , , and , Predicting Treatment Response in Triple Negative Breast Cancer Through Quantitative Image Analysis in Perfusion MRI, in: 6th Annual Symposium of the Center for Biomedical Imaging at Stanford, Stanford, CA, USA, 2014 |
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| , , , and , Accessing the medical literature with content-based visual retrieval and text retrieval techniques., in: Proceedings of the Radiological Society of North America (RSNA), Chicago, Illinois, US, 2011 |
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| , , , and , Using MapReduce for Large-scale Medical Image Analysis (2015), in: arXiv:1510.06937 |
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| , , , and , Using MapReduce for Large–scale Medical Image Analysis, in: 2nd IEEE Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), La Jolla, California, 2012 |
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| , , and , Fast Rotational Sparse Coding (2018)(arXiv:1806.04374) |
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| , , , , and , Is tumor heterogeneity quantified by 3D texture analysis of MRI able to predict non-response to NAC in breast cancer?, in: European Society for Magnetic Resonance in Medicine and Biology, 2016 |
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| , , , , and , Predicting non-response to NAC in patients with breast cancer using 3D texture analysis, in: European Congress of Radiology, Vienna, Austria, 2015 |
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| , , , , and , Making sense of radiomics: Insights on human-AI collaboration in medical interaction from an observational user study (2024), in: Frontiers in Communication, 8 |
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| , , , , , and , Design implications of repurposing a radiomics research platform for education: The case of QuantImage v2, 2024 |
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| , , , , , , , , , and , Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis, 2024 |
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| , , , , , , , , and , Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation (2025), in: Computers in Biology and Medicine |
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| and , La recherche d’images en plusieurs dimensions (2011), in: Market/IBCom |
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| , and , 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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| , , , and , Medical visual information retrieval: from techniques to applications and evaluation, in: The 2nd International Conference on Advanced Information and Telemedicine Technologies for Health (AITTH 2008), páginas 77-81, 2008 |
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| , , , , , and , Content-based image retrieval from a database of fracture images, in: Medical Imaging 2007: PACS and Imaging Informatics, páginas 65160H, 2007 |
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, and , Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring (2012), in: IMIA Yearbook of Medical Informatics, 7:1(100-103)
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, , and , Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK)., in: AIRS, páginas 476-488, 2006
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| , , , , and , KnowARC: Enabling Grid Networks for the Biomedical Research Community, in: Healthgrid 2007, páginas 261-268, 2007 |
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| , , , , and , Medical Visual Information Retrieval: State of the Art and Challenges Ahead, in: Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, páginas 683-686, 2007 |
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| , , , and , 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), páginas 3-12, 2008 |
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| , , and , Plug-in Grid: A virtualized grid Cluster, in: MICCAI workshop on HealthGrids, páginas 74--83, 2009 |
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| , , , , , , , and , Integrating MRI and PET/CT Radiomics for Enhanced Survival Prediction in Esophageal Cancer, in: European Congress of Radiology, 2025 |
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| , , , and , Guide for radiologists and nuclear medicine physicians for a standardized radiomics analysis, in: Swiss Congress of Radiology (SCR) 2023, 2023 |
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| , and , Mobile image upload for radiology, in: Studies in Health Technology and Informatics, Copenhagen, Denmark, páginas 1003, 2013 |
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, , , and , 3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis, 2020
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, , , , , , , , , , , , , , , , , , , , , , , , , and , Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge (2022), in: Medical Image Analysis, 77(102336)
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| , , , and , Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net, in: Medical Imaging with Deep Learning, 2022 |
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| , , and , PET/CT Radiomics Analysis Contributes to Detection of Pulmonary Lymphangitic Carcinomatosis (PLC) in Non-Small Cell Lung Cancer (NSCLC), in: Swiss Congress of Radiology, 2019 |
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| , , , , , , , and , 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, páginas 581-588, Springer International Publishing, 2015 |
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| , , , , , , , , and , Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics), [Data set], 2023 |
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| , , , , and , Web-Based Tools for Exploring the Potential of Quantitative Imaging Biomarkers in Radiology: Intensity and Texture Analysis on the ePAD Platform, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, páginas 379-410, Elsevier, 2017 |
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| , and , Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop (2016), in: Journal of Imaging, 2:2(19) |
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| , , , , , , , and , QuantImage v2: A Clinician-in-the-loop Cloud Platform for Radiomics Research, in: European Society of Radiology, 2022 |
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