Palavras-chave:
- 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 processing Medical image caption analysis Medical concept prediction Visual question answering Generative Adversarial Networks Synthetic Data Generation Image Segmentation Pictogram communication Multilingual Image Retrieval ImageCLEF
- 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
Publicações de Alba García Seco de Herrera ordenado por recente
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| , , , , , , , , , , , , , , , , , , , , , , , , , , and , Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications ECIR 2025 (2025), in: Lecture Notes in Computer Science, vol 16089. Springer, Cham., 16089(290-314) |
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| , , , , , , , , , , , and , Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection, in: Conference and Labs of the Evaluation Forum, 2024 |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the 2024 ImageCLEFmedical GANs Task – Investigating Generative Models’ Impact on Biomedical Synthetic Images, SpringerLink, 2024 |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications, 2024 |
| , , , , , , , , , , , and , ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset (2024), in: Nature Scientific Data |
[DOI] |
| , , , , , , , and , Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection, in: CLEF working Notes, Thessaloniki, Greece, 2023 |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet, in: CLEF 2023 proceedings, Springer, Thessaloniki, Grece, 2023 |
| , , , , , , , , , and , ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications, in: European Conference on Information Retrieval, Springer, páginas 557--567, 2023 |
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| , , , , , , , and , Overview of ImageCLEFmedical 2022 – Caption Prediction and Concept Detection, in: CLEF working notes, 2022 |
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| , , , , , , , , , , , , , , , , , , , , , and , 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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| , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, páginas 382--389, 2022 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media, in: CLEF proceedings, Springer, 2021 |
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| , , , , and , Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task, in: CLEF working notes, 2021 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications, in: European Conference on Information Retrieval, Springer, 2021 |
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| , , and , Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding, in: CLEF working notes, CEUR, 2020 |
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| , , and , 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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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical Lifelogging, Nature and Internet Applications, in: CLEF Proceedings, 2020 |
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| , , and , Overview of the ImageCLEFmed 2019 Concept Detection Task, in: CLEF working notes, 2019 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature and Security Applications, in: CLEF conference Proceedings, Lugano, Switzerland, Springer LNCS, 2019 |
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| , and , Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks, Springer, 2019 |
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| , , , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2019: Multimedia Retrieval in Medical Nature, Security and Lifelogging Applications, in: ECIR 2019, Cologne, Germany, 2019 |
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| , , , , , , , , , , , , , , , , , , and , Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation, in: CLEF conference proceeding, Avignon, France, Springer, 2018 |
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| , , and , Overview of the ImageCLEF 2018 caption prediction tasks, in: CLEF working notes, CEUR, 2018 |
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| , , , and , NLM at ImageCLEF 2017 Caption Task, in: CLEF 2017 working Notes, 2017 |
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| , and , Graph Representation for Content–based fMRI Activation Map Retrieval, in: IEEE Life Sciences Conference, Sydney, Australia, 2017 |
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| , , , , and , Named Entity Recognition in Functional Neuroimaging Literature, 2017 |
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| , , and , 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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, , , , , , , , , , , , , , , and , Overview of ImageCLEF 2017: Information extraction from images, in: CLEF Proceedings, 2017
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| , , and , The Parallel Distributed Image Search Engine (ParaDISE) (2017), in: ArXiv(1701.05596) |
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| , and , 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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, and , Shangri-La: a medical case-based retrieval tool (2016), in: Journal of the American Society for Information Science
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| , , and , Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation, in: MICCAI workshop Labels, Springer, 2016 |
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| , and , Content–based fMRI Brain Maps Retrieval, in: International Conference on Brain Informatics & Health (BIH), Springer LNCS/LNAI, 2016 |
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| , , , , , , , , , , , , , , , and , General Overview of ImageCLEF at the CLEF 2016 Labs, in: CLEF Proceedings, Springer, 2016 |
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| , , and , Overview of the ImageCLEF 2016 Medical Task, in: CLEF working notes 2016, CEUR, 2016 |
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, , and , Medical image modality classification using discrete Bayesian Networks (2016), in: Computer Vision and Image Understanding
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, , , , and , 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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| , Use Case Oriented Medical Visual Information Retrieval & System Evaluation, University of Geneva, 2015 |
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, , , , , , , , , , , , , and , General Overview of ImageCLEF at the CLEF 2015 Labs, in: CLEF 2015 Proceedings, 2015
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| , and , Overview of the ImageCLEF 2015 medical classification task, in: Working Notes of CLEF 2015 – Cross Language Evaluation Forum, CEUR, 2015 |
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| , and , Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data, capítulo Meaningful bags of words for medical image classification and retrieval, Springer, 2015 |
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| , , , , and , Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015 |
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| , and , Medical case-based retrieval: integrating query MeSH terms for query-adaptive multi-modal fusion, in: SPIE Medical Imaging, 2015 |
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| , , , and , Crowdsourcing for Medical Image Classification, 2014 |
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| , and , Meaningful bags of words for medical image classification and retrieval, Springer, 2014 |
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, , and , 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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| and , Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Khresmoi Professional: Multilingual Semantic Search for Medical Professionals, in: SIGIR workshop on Health Data Discovery, Dublin, Ireland, 2013 |
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, , and , 2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions, in: Medical Computer Vision. Large Data in Medical Imaging, MICCAI, Nagoya, Japan, páginas 185-195, Springer International Publishing, 2014
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| 1-50 | 51-70 |