Trefwoorden:
- 2D-based 3D retrieval
- Alzheimer
- Bag of visual words
- Bag-of-Colors
- Benchmarking
- Bipolar disorder
- brain activation map
- Bregman Iterations
- case-based retrieval
- Chronic stage
- compound figure separation
- Computational Anatomy
- conditional random fields
- Content-based image retrieval
- crowdsourcing
- DARTEL
- Denoising
- Diffeomorphic Register
- Diffuse Axonal Injury
- DWI
- evaluation
- fMRI retrieval
- Fractional Anisotropy
- Functional Magnetic Resonance Imaging
- GIFT
- Gray matter
- image categorization
- image classification
- image retrieval
- image retrieval evaluation
- ImageCLEF
- ImageCLEF benchmark
- information retrieval
- information retrieval evaluation
- Inverse Scaling
- language modelling
- machine learning
- manual annotation
- MCI
- Medical image analysis and retrieval
- Medical image retrieval
- medical image search
- Medical Images
- medical information search
- medical search system
- MeSH
- MRI
- multilingual
- multimodal
- Multimodal information retrieval and information fusion
- Named Entity Recognition
- Neuropsychology
- Parkinson
- PICA
- query-adaptive fusion
- region detector
- Rehabilitation
- Rician Noise
- Risperidone
- rule-based methods
- Schizophrenia
- Search Interfaces
- semi-supervised learning
- SIFT
- singular value decompasition
- test collection creation including signals and images
- Total Variation
- Traumatic Brain Injury
- Treatment-response
- visual information retrieval
- Voxel-based morphometry
- Web Applications
Publicaties van Alba García Seco de Herrera gesorteerd op titel
| 1-50 | 51-62 |
2
, , en , 2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions, in: Medical Computer Vision. Large Data in Medical Imaging, MICCAI, Nagoya, Japan, pagina's 185-195, Springer International Publishing, 2014
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A
| , en , Assessing the Scholarly Impact of ImageCLEF, in: CLEF 2011, Amsterdam, The Netherland, pagina's 95-106, 2011 |
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B
| , en , Bag-of-Colors for Biomedical Document Image Classification, in: MICCAI workshop MCBR-CDS, Nice, France, pagina's 110-121, 2013 |
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C
, , en , Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task (2015), in: Computerized Medical Imaging and Graphics, 39(46–54)
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| , en , Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data, hoofdstuk Meaningful bags of words for medical image classification and retrieval, Springer, 2015 |
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| , en , Content–based fMRI Brain Maps Retrieval, in: International Conference on Brain Informatics & Health (BIH), Springer LNCS/LNAI, 2016 |
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| , , , en , Crowdsourcing for Medical Image Classification, 2014 |
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D
, , , , , , en , Different Gray Matter Patterns in Chronic Schizophrenia and Chronic Bipolar Disorder Patientes Identified Using Voxel-Based Morphometry (2010), in: European Archives of Psychiatry and Clinical Neuroscience
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E
| , , , en , Effect of Multichannel Inverse Scaling Denoising in Detection of Injured White Matter in Fractional Anisotropy Maps, The 10th International Conference on Alzheimer's & Parkinson's Diseases (AD/PD), Barcelona, Spain, 2011 |
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, , , , en , Evaluating performance of biomedical image retrieval systems - an overview of the medical image retrieval task at ImageCLEF 2004-2013 (2015), in: Computerized Medical Imaging and Graphics, 39:55-61
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| , en , Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks, Springer, 2019 |
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F
| , , en , Filtrado Multicanal de Ruido en DWI Mediante Variación Total e Iteraciones de Bregman, XXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), Madrid, Spain, 2010 |
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| en , Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 |
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G
, , , , , , , , , , , , , en , General Overview of ImageCLEF at the CLEF 2015 Labs, in: CLEF 2015 Proceedings, 2015
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| , , , , , , , , , , , , , , , en , General Overview of ImageCLEF at the CLEF 2016 Labs, in: CLEF Proceedings, Springer, 2016 |
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| , en , Graph Representation for Content–based fMRI Activation Map Retrieval, in: IEEE Life Sciences Conference, Sydney, Australia, 2017 |
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I
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature and Security Applications, in: CLEF conference Proceedings, Lugano, Switzerland, Springer LNCS, 2019 |
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| , , , , , , , , , , , , , , , , , , , , , , , , en , ImageCLEF 2019: Multimedia Retrieval in Medical Nature, Security and Lifelogging Applications, in: ECIR 2019, Cologne, Germany, 2019 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , en , ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media, in: CLEF proceedings, Springer, 2021 |
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| , , , , , , , , , , , , , , , , , , , , , , en , ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, pagina's 382--389, 2022 |
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K
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Khresmoi – multilingual semantic search of medical text and images, in: MedInfo 2013, Copenhagen, Denmark, 2013 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Khresmoi Professional: Multilingual Semantic Search for Medical Professionals, in: SIGIR workshop on Health Data Discovery, Dublin, Ireland, 2013 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Khresmoi: Multimodal Multilingual Medical Information Search, in: Proceedings of the 24th International Conference of the European Federation for Medical Informatics, 2012 |
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M
| , en , Meaningful bags of words for medical image classification and retrieval, Springer, 2014 |
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| , en , Medical case-based retrieval: integrating query MeSH terms for query-adaptive multi-modal fusion, in: SPIE Medical Imaging, 2015 |
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, , en , Medical image modality classification using discrete Bayesian Networks (2016), in: Computer Vision and Image Understanding
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| , en , Medical Image Retrieval using Bag of Meaningful Visual Words: Unsupervised visual vocabulary pruning with PLSA, in: Workshop on Multimedia Information Indexing and Retrieval for Healthcare, ACM Multimedia, Barcelona, Spain, pagina's 75--82, ACM, 2013 |
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| , , en , Medical Images Rician Based Denoising, XXII Congreso de Ecuaciones Diferenciales y Aplicaciones (CEDyA), Palma de Mallorca, Spain, 2011 |
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| , , en , Multi-scale visual words for hierarchical medical image categorization, in: SPIE Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, San Diego, CA, USA, pagina's 83190F-83190F-11, 2012 |
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N
| , , , , en , Named Entity Recognition in Functional Neuroimaging Literature, 2017 |
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| , , , , , , , en , Neuropsychological and imaging (MR) biomarkers in the early detection of Mild Cognitive Impairment (MCI), The 3rd World Congress on Controversies in Neurology (CONy), Prague, Czech Republic, 2009 |
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| , , , en , NLM at ImageCLEF 2017 Caption Task, in: CLEF 2017 working Notes, 2017 |
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O
, , , en , Optimized voxel Brain Morphometry: Association Between Brain Volumes and the Response to Atypical Antipsychotics (2010), in: European Archives of Psychiatry and Clinical Neuroscience
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, , , , , , , , , , , , , , , en , Overview of ImageCLEF 2017: Information extraction from images, in: CLEF Proceedings, 2017
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| , , , , , , , , , , , , , , , , , , en , Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation, in: CLEF conference proceeding, Avignon, France, Springer, 2018 |
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| , , en , Overview of ImageCLEFcaption 2017 – Image Caption Prediction and Concept Detection for Biomedical Images, in: CLEF 2017 working Notes, Dublin, Ireland, 2017 |
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| , , , , , , , en , Overview of ImageCLEFmedical 2022 – Caption Prediction and Concept Detection, in: CLEF working notes, 2022 |
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| , , , , en , Overview of the CLEF 2011 medical image classification and retrieval tasks, in: CLEF 2011 working notes, Amsterdam, The Netherlands, 2011 |
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| , , , , en , Overview of the ImageCLEF 2012 medical image retrieval and classification tasks, in: CLEF 2012 working notes, 2012 |
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| , , , en , Overview of the ImageCLEF 2013 medical tasks, in: CLEF working notes 2013, Valencia, Spain, 2013 |
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| , en , Overview of the ImageCLEF 2015 medical classification task, in: Working Notes of CLEF 2015 – Cross Language Evaluation Forum, CEUR, 2015 |
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| , , en , Overview of the ImageCLEF 2016 Medical Task, in: CLEF working notes 2016, CEUR, 2016 |
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| , , en , Overview of the ImageCLEF 2018 caption prediction tasks, in: CLEF working notes, CEUR, 2018 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical Lifelogging, Nature and Internet Applications, in: CLEF Proceedings, 2020 |
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| , , , , , , , , , , , , , , , , , , , , , en , Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications, in Experimental IR Meets Multilinguality, Multimodality, and Interaction, in: CLEF 2022 Proceedings, Springer, 2022 |
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| , , en , Overview of the ImageCLEFmed 2019 Concept Detection Task, in: CLEF working notes, 2019 |
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| , , en , Overview of the ImageCLEFmed 2019 concept prediction task, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Lugano, Switzerland (September 09-12 2019), 2019 |
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| , , en , Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding, in: CLEF working notes, CEUR, 2020 |
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| , , , , en , Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task, in: CLEF working notes, 2021 |
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S
| , , , , en , Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015 |
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| 1-50 | 51-62 |