Trefwoorden:
- https://publications.hevs.ch/index.php/keywords/single/197
- adherence
- AI
- air pollution
- artificial intelligence
- Augmented reality
- big data
- case-based retrieval
- casual games
- Cessation
- CFD
- ChatBot
- Classification
- Clinical decision support
- Content-based image retrieval
- conversation analysis
- crowdsourcing
- Cultural heritage
- digital pathology
- distributed computing
- ethnomethodology
- gesture interaction
- Hadoop
- HCI
- healthy aging
- home training
- image classification
- image retrieval
- ImageCLEF
- information retrieval systems
- isolation
- MapReduce
- medical image analysis
- Medical image retrieval
- motivation
- Natural Language Processing
- Naturalistic studies
- oncology
- organ segmentation
- pollutants dispersion
- Prototype evaluation
- radiomics
- relevance feedback
- rewards
- scalability
- Search Interfaces
- self-management
- semi-supervised learning
- serious games
- Smoking
- social interaction
- Social Networks
- Sociology
- support vector machines
- systematic reviews
- texture analysis
- Video-based fieldwork
- Virtual reality
- VISCERAL
- Web Applications
- web based interface
- Web services
- whole slide imaging
Publicaties van Roger Schaer gesorteerd op titel
| 1-50 | 51-75 |
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| , , , , , , en , Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows, in: ACM CHI 2023, 2023 |
[DOI] [URL] |
| , , , , , , , , en , 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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| , , , , en , Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015 |
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, en , Shangri-La: a medical case-based retrieval tool (2016), in: Journal of the American Society for Information Science
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| , en , Shangri-La: a medical case-based retrieval tool (2017), in: Journal of the American Society for Information Science, 68:11(2587–2601) |
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| , , , , , , en , Standardised convolutional filtering for radiomics, 2020 |
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| , , , , , , , , en , Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics), [Data set], 2023 |
[DOI] |
, , , , , , , , en , 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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| , , , , , en , The Image Biomarker Standardisation Initiative (IBSI) On Reproducible Convolutional Radiomics, in: European Society of Radiology, 2022 |
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, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights (2024), in: Radiology, 310:2
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[DOI] |
| , , , en , The medGIFT Group in ImageCLEFmed 2013, in: CLEF working Notes 2013, Valencia, Spain, 2013 |
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| , , en , The Parallel Distributed Image Search Engine (ParaDISE) (2017), in: ArXiv(1701.05596) |
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| , , en , Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation, in: MICCAI workshop Labels, Springer, 2016 |
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| , , , en , Using MapReduce for Large-scale Medical Image Analysis (2015), in: arXiv:1510.06937 |
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| , , , en , 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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| , , , , en , Using Publicly Available Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction, in: Multimedia Modeling (MMM 2020), Seoul, Korea, 2020 |
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| , en , Using Smart Glasses in Medical Emergency Situations, a Qualitative Pilot Study, in: WirelessHealth 2016, Bethesda, pagina's 1-5, 2016 |
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| , en , Using the Cloud as a Platform for Evaluation and Data Preparation, hoofdstuk Using the Cloud as a Platform for Evaluation and Data Preparation, Springer, 2016 |
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| , , , , , , , , en , 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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| , , , , , , , , , , , , , , , en , VISCERAL - VISual Concept Extraction Challenge in RAdioLogy: ISBI 2014 Challenge Organization, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, pagina's 6-15, 2014 |
[URL] |
| , en , VISCERAL book, hoofdstuk Using the Cloud as a Platform for Evaluation and Data Preparation, Springer, 2017 |
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| , , , , , , , , , , , , , en , VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse, in: Deutscher Röntgenkongress, Hamburg, Germany, 2015 |
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| , , , , , , , , , , , , , en , VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Segmentation challenge: overview, insights and preliminary results, in: ECR, Vienna, Austria, 2015 |
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| , , , , en , 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, pagina's 379-410, Elsevier, 2017 |
[DOI] [URL] |
| 1-50 | 51-75 |