Dr Alba Garcia Seco De Herrera
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Email
alba.garcia@essex.ac.uk -
Location
5B.538, Colchester Campus
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Academic support hours
Tuesdays at 10 am (Zoom Meeting ID: 931 3308 8285) to be confirmed in advance via email.
Profile
Biography
Dr Alba García Seco de Herrera is a Senior Lecturer at the School of Computer Science and Electronic Engineering (CSEE) since September 2017. She is a mathematician and enjoys applying mathematics and computational tools to develop the Artificial InteIligence (AI) tools that model the complex realities stored in the vast datasets available today. Her research interest lies broadly in the area of AI in computer vision with a special focus on biomedical imaging, neuroimaging, information retrieval and evaluation. She also cast the problem of Multimodal AI, in which various data types (image, text, speech, numerical data) are combined with multiple intelligence processing algorithms to achieve higher performances. Multimodal AI often outperforms single modal AI in many real-world problems. She has published widely in the field with more than 80 papers in peer review journals, conferences and books. According to Google Scholar she has presently an h-index of 24 and an i10-index of 40. She has achieved several notable recognitions like Early Career Researcher Award for the University of Essex (UK), National Library of Medicine Honour Awards (USA), best paper awards at ICCVIP (Czechia), SPIE Medical Imaging (USA) and CoNy conferences (Czechia). She is a member of the Editorial Board of Scientific Data, a data-focused journal from the publishers of Nature. She has also served as program committee chair (CBMS), and technical program member (HSDM, SDS, VISAPP, ECTI-CON, ACM MMSys, DMIP, rtip2r, ICBSIP, LABELS), publicity chair (rtip2r) and session chair for of a variety of Artificial Intelligence related international conferences.
Qualifications
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PhD Computer Science University of Geneva,
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M.S. Telemedicine and Bioengineering Technical University of Madrid,
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B.S.-M.S. Mathematics Complutense University of Madrid,
Appointments
University of Essex
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Lecturer, CSEE, University of Essex (1/9/2017 - present)
Other academic
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Postdoctoral Fellow, Communicatios Eingineering Branch, United States National Library of Medicine (1/7/2015 - 30/6/2017)
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Research Assistant, Institute of Information Systems, HES-SO Valais-Wallis (15/3/2011 - 28/2/2019)
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Research Assistant, Division of Neuroimage, General Electric Healthcare (1/8/2010 - 31/1/2011)
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Research Assistant, Division of Neuroimage, CIEN Foundation (1/4/2010 - 31/7/2010)
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Research Assistant, Division of Applied Mathematics, King Juan Carlos University (1/1/2010 - 31/3/2010)
Research and professional activities
Research interests
Computational neuroscience
Current research
Content-based medical image retrieval and classification
Evaluation of technologies for annotation, indexing and retrieval of visual data
Cross-modal information matching
Medical image processing and analysis
Neuroimaging
Pattern recognition
Computer vision
Teaching and supervision
Current supervision
Previous supervision
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 11/8/2022
Publications
Journal articles (15)
Garcia Seco De Herrera, A., Increasing Students’ Research Interests through a Research-based Learning Initiative for Master Degree Students. Advances in Engineering Education
Islam, S., Wishart, GC., Walls, J., Hall, P., Herrera, AGSD., Gan, JQ. and Raza, H., (2024). Leveraging AI and Patient Metadata to Develop a Novel Risk Score for Skin Cancer Detection. Scientific Reports. 14 (1), 20842-
Papanastasiou, G., García Seco de Herrera, A., Wang, C., Zhang, H., Yang, G. and Wang, G., (2023). Focus on machine learning models in medical imaging. Physics in Medicine & Biology. 68 (1), 010301-010301
Karthikeyan, S., Garcia Seco De Herrera, A., Doctor, F. and Mirza, A., (2022). An OCR Post-correction Approach using Deep Learning for Processing Medical Reports. IEEE Transactions on Circuits and Systems for Video Technology. 32 (5), 2574-2581
Jaruenpunyasak, J., Garcia Seco De Herrera, A. and Duangsoithong, R., (2022). Anthropometric ratios for lower-body detection based on deep learning and traditional methods. Applied Sciences. 12 (5), 2678-2678
Sae Jong, N., Garcia Seco De Herrera, A. and Phukpattaranont, P., (2021). Multimodal Data Fusion of Electromyography and Acoustic Signals for Thai Syllable Recognition. IEEE Journal of Biomedical and Health Informatics. Early Access (6), 1997-2006
Yagis, E., Workalemahu Atnafu, S., Garcia Seco De Herrera, A., Marzi, C., Giannelli, M., Tessa, C., Citi, L. and Diciotti, S., (2021). Deep Learning in Neuroimaging: Effect of Data Leakage in Cross-validation Using 2D Convolutional Neural Networks. Scientific Reports. 11 (1), 22544-
Kiziltepe, RS., Sweeney, L., Constantin, MG., Doctor, F., García Seco de Herrera, A., Demarty, C-H., Healy, G., Ionescu, B. and Smeaton, AF., (2021). An annotated video dataset for computing video memorability. Data in Brief. 39, 107671-107671
Ebrahimkhani, S., Jaward, MH., Cicuttini, FM., Dharmaratne, A., Wang, Y. and Garcia Seco De Herrera, A., (2020). A Review on Segmentation of Knee Articular Cartilage: from Conventional Methods Towards Deep Learning. Artificial Intelligence in Medicine. 106, 101851-101851
Seco de Herrera, AG., Schaer, R. and Müller, H., (2017). Shangri-La: a medical case-based retrieval tool. Journal of the American Society for Information Science and Technology. 68 (11), 2587-2601
Martinez-Gomez, J., Arias, J., Seco de Herrera, AG. and Müller, H., (2016). Medical image modality classification using discrete Bayesian Networks. Computer Vision and Image Understanding. 151, 61-71
Garcia Seco De Herrera, A., Schaer, R., Markonis, D. and Müller, H., (2015). Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task. Computerized Medical Imaging and Graphics. 39, 46-54
Kalpathy-Cramer, J., Seco de Herrera, AG., Demner-Fushman, D., Antani, S., Bedrick, S. and Müller, H., (2015). Evaluating performance of biomedical image retrieval systems - an overview of the medical image retrieval task at ImageCLEF 2004-2013. Computerized Medical Imaging and Graphics. 39, 55-61
Molina, V., Martín, C., Ballesteros, A., Seco de Herrera, AG. and Hernández-Tamames, JA., (2011). Optimized voxel brain morphometry: association between brain volumes and the response to atypical antipsychotics. European Archives of Psychiatry and Clinical Neuroscience. 261 (6), 407-416
Molina, V., Galindo, G., Cortés, B., García Seco de Herrera, A., Ledo, A., Sanz, J., Montes, C. and Hernández-Tamames, JA., (2011). Different Gray Matter Patterns in Chronic Schizophrenia and Chronic Bipolar Disorder Patientes Identified Using Voxel-Based Morphometry. European Archives of Psychiatry and Clinical Neuroscience. 261 (5), 313-322
Book chapters (3)
Müller, H., Kalpathy-Cramer, J. and Garcia Seco De Herrera, A., (2019). Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks. In: Information Retrieval Evaluation in a Changing World Lessons Learned from 20 Years of CLEF. Editors: Ferro, N. and Peters, C., . Springer. 231- 250. 978-3-030-22947-4
Foncubierta-Rodríguez, A., Garcia Seco De Herrera, A. and Müller, H., (2015). Meaningful bags of words for medical image classification and retrieval. In: Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data. Editors: Briassouli, A., Benois-Pineau, J. and Hauptmann, A., . Springer. 73- 93. 978-3-319-17962-9
Garcia Seco De Herrera, A. and Müller, H., (2014). Fusion Techniques in Biomedical Information Retrieval. In: Fusion in Computer Vision: Understanding Complex Visual Content. Editors: Ionescu, B., Benois-Pineau, J., Piatrik, T. and Quénot, G., . Springer. 209- 228. 978-3-319-05695-1
Conferences (72)
Rückert, J., Ben Abacha, A., Seco de Herrera, AG., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Bracke, B., Damm, H., Pakull, TMG., Schmidt, CS., Müller, H. and Friedrich, CM., (2024). Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection
Islam, MS., Wishart, G., Walls, J., Hall, P., Garcia, A., Gan, J. and Raza, H., (2024). Unlocking the Potential of Patient Metadata for Skin Cancer Detection: An AI Framework
Ali, Z., Seco De Herrera, AG., Mesallam, TA. and Muhammad, G., (2023). Computer-based Blind Diagnostic System for Classification of Healthy and Disordered Voices
Rückert, J., Abacha, AB., Seco de Herrera, AG., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Müller, H. and Friedrich, CM., (2023). Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection
Sweeney, L., Constantin, MG., Demarty, C-H., Fosco, C., Garcia Seco De Herrera, A., Halder, S., Healy, G., Ionescu, B., Matran-Fernandez, A., Smeaton, AF. and Sultana, M., (2023). Overview of The MediaEval 2022 Predicting Video Memorability Task
Ionescu, B., Müller, H., Garcia Seco De Herrera, A. and et al, (2023). ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
Talebpour, M., Garcia Seco De Herrera, A. and Jameel, S., (2023). Topics in Contextualised Attention Embeddings
Garcia Seco De Herrera, A., Ionescu, B., Müller, H., Péteri, R., Ben Abacha, A., Friedrich, CM., Rückert, J., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Kozlovski, S., Dicente Cid, Y., Kovalev, V., Chamberlain, J., Clark, A., Campello, A., Schindler, H., Deshayes, J., Popescu, A., S¸tefan, L-D., Constantin, MG. and Dogariu, M., (2022). ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications
Chamberlain, J., Garcia Seco De Herrera, A., Campello, A. and Clark, A., (2022). ImageCLEFcoral task: Coral reef image annotation and localisation
Rückert, J., Ben Abacha, A., Garcia Seco De Herrera, A., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Müller, H. and Friedrich, CM., (2022). Overview of ImageCLEFmedical 2022 – Caption Prediction and Concept Detection
Ionescu, B., Müller, H., Péteri, R., Rückert, J., Abacha, AB., de Herrera, AGS., Friedrich, CM., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Kozlovski, S., Cid, YD., Kovalev, V., Ştefan, L-D., Constantin, MG., Dogariu, M., Popescu, A., Deshayes-Chossart, J., Schindler, H., Chamberlain, J., Campello, A. and Clark, A., (2022). Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications
Garcia Seco De Herrera, A., Constantin, MG., Demarty, C-H., Fosco, C., Halder, S., Healy, G., Ionescu, B., Matran-Fernandez, A., Smeaton, AF., Sultana, M. and Sweeney, L., (2022). Experiences from the MediaEval Predicting Media Memorability Task
Pelka, O., Abacha, AB., Garcia Seco De Herrera, A., Jacutprakart, J., Friedrich, CM. and Müller, H., (2021). Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task
Chamberlain, J., Garcia Seco De Herrera, A., Campello, A., Clark, A., Oliver, TA. and Moustahfid, H., (2021). Overview of ImageCLEFcoral 2021: Coral reef image annotation of a 3D environment
Jacutprakart, J., Andrade, FP., Cuan, R., Compean, AA., Papanastasiou, G. and Garcia Seco De Herrera, A., (2021). NLIP-Essex-ITESM at ImageCLEFcaption 2021 task: Deep learning-based information retrieval and multi-label classification towards improving medical image understanding
Yagis, E., Garcia Seco De Herrera, A. and Citi, L., (2021). Convolutional Autoencoder based Deep Learning Approach for Alzheimer's Disease Diagnosis using Brain MRI
Ionescu, B., Müller, H., Péteri, R., Ben Abacha, A., Demner-Fushman, D., Hasan, SA., Sarrouti, M., Pelka, O., Friedrich, C., Garcia Seco De Herrera, A., Jacutprakart, J., Kovalev, V., Kozlovski, S., Liauchuk, V., Dicente Cid, Y., Chamberlain, J., Clark, A., Campello, A., Moustahfid, H., Oliver, T., Schulz, A., Brie, P., Berari, R., Fichou, D., Tautenau, A., Dogariu, M., Stefan, LD., Constantin, MG., Deshayes, J. and Popescu, A., (2021). The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications
Sweeney, L., Matran-Fernandez, A., Halder, S., Garcia Seco De Herrera, A., Smeaton, A. and Healy, G., (2021). Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability
Savran Kiziltepe, R., Constantin, MG., Demarty, C-H., Healy, G., Fosco, C., Garcia Seco De Herrera, A., Halder, S., Ionescu, B., Matran-Fernandez, A., Smeaton, AF. and Sweeney, L., (2021). Overview of The MediaEval 2021 Predicting Media Memorability Task
Wright, J., Palosanu, I-L., Clift, L., Garcia Seco De Herrera, A. and Chamberlain, J., (2021). Pixelwise annotation of coral reef substrates
Ionescu, B., Müller, H., Péteri, R., Abacha, AB., Sarrouti, M., Demner-Fushman, D., Hasan, SA., Kozlovski, S., Liauchuk, V., Cid, YD., Kovalev, V., Pelka, O., Garcia Seco De Herrera, A., Jacutprakart, J., Friedrich, CM., Berari, R., Tauteanu, A., Fichou, D., Brie, P., Dogariu, M., Ştefan, LD., Constantin, MG., Chamberlain, J., Campello, A., Clark, A., Oliver, TA., Moustahfid, H., Popescu, A. and Deshayes-Chossart, J., (2021). Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications
Ionescu, B., Müller, H., Péteri, R., Dang-Nguyen, D-T., Zhou, L., Piras, L., Riegler, M., Halvorsen, P., Tran, M-T., Lux, M., Gurrin, C., Chamberlain, J., Clark, A., Campello, A., Garcia Seco De Herrera, A., Ben Abacha, A., Datla, V., A. Hasan, S., Liu, J., Demner-Fushman, D., Obioma, P., Friedrich, CM., Dicente Cid, Y., Kozlovski, S., Liauchuk, V., Kovalev, V., Berari, R., Brie, P., Fichou, D., Dogariu, M., Daniel Stefan, L. and Constantin, MG., (2020). ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications
Yagis, E., Citi, L., Diciotti, S., Merzi, C., Workalemahu Atnafu, S. and Garcia Seco De Herrera, A., (2020). 3D Convolutional Neural Networks for Diagnosis of Alzheimer’s Disease via structural MRI
Chamberlain, J., Campello, A., Wright, JP., Clift, LG., Clark, A. and García Seco de Herrera, A., (2020). Overview of the ImageCLEFcoral 2020 Task: Automated Coral Reef Image Annotation
Ionescu, B., Müller, H., Péteri, R., Abacha, AB., Datla, V., Hasan, SA., Demner-Fushman, D., Kozlovski, S., Liauchuk, V., Cid, YD., Kovalev, V., Pelka, O., Friedrich, CM., Garcia Seco De Herrera, A., Ninh, V-T., Le, T-K., Zhou, L., Piras, L., Riegler, M., Halvorsen, PL., Tran, M-T., Lux, M., Gurrin, C., Dang-Nguyen, D-T., Chamberlain, J., Clark, A., Campello, A., Fichou, D., Berari, R., Brie, P., Dogariu, M., Stefan, LD. and Constantin, MG., (2020). ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications
García Seco de Herrera, A., Parrilla Andrade, F., Bentley, L. and Aceves Compean, A., (2020). Essex at ImageCLEFcaption 2020 task
Ionescu, B., Müller, H., Péteri, R., Abacha, AB., Datla, V., Hasan, SA., Demner-Fushman, D., Kozlovski, S., Liauchuk, V., Cid, YD., Kovalev, V., Pelka, O., Friedrich, CM., García Seco de Herrera, A., Ninh, V-T., Le, T-K., Zhou, L., Piras, L., Riegler, M., Halvorsen, P., Tran, M-T., Lux, M., Gurrin, C., Dang-Nguyen, D-T., Chamberlain, J., Clark, A., Campello, A., Fichou, D., Berari, R., Brie, P., Dogariu, M., Ştefan, LD. and Constantin, MG., (2020). Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications
Garcia Seco De Herrera, A., Savran Kiziltepe, R., Chamberlain, J., Constantin, MG., Claire-Hélène, D., Doctor, F., Ionescu, B. and Smeaton, AF., (2020). Overview of MediaEval 2020 Predicting Media Memorability task: What does it Make a Video Memorable?
Jacutprakart, J., Savran Kiziltepe, R., Gan, J., Papanastasiou, G. and Garcia Seco De Herrera, A., (2020). Essex-NLIP at MediaEval Predicting MediaMemorability 2020 Task
Pelka, O., Friedrich, CM., García Seco de Herrera, A. and Müller, H., (2020). Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding
Chamberlain, J., Campello, A., Wright, J., Clift, L., Clark, A. and Seco De Herrera, AG., (2019). Overview of ImageCLEFcoral 2019 task
Pelka, O., Friedrich, CM., Seco De Herrera, AG. and Müller, H., (2019). Overview of the ImageCLEFmed 2019 concept detection task
Ionescu, B., Müller, H., Péteri, R., Cid, YD., Liauchuk, V., Kovalev, V., Klimuk, D., Tarasau, A., Abacha, AB., Hasan, SA., Datla, V., Liu, J., Demner-Fushman, D., Dang-Nguyen, D-T., Piras, L., Riegler, M., Tran, M-T., Lux, M., Gurrin, C., Pelka, O., Friedrich, CM., Garcia Seco De Herrera, A., Garcia, N., Kavallieratou, E., del Blanco, CR., Cuevas, C., Vasillopoulos, N., Karampidis, K., Chamberlain, J., Clark, A. and Campello, A., (2019). ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature
Duangsoithong, R., Jaruenpunyasak, J. and Garcia Seco De Herrera, A., (2019). Foot Recognition Using Deep Learning for Knee Rehabilitation
Ionescu, B., Müller, H., Péteri, R., Dang-Nguyen, D-T., Piras, L., Riegler, M., Tran, M-T., Lux, M., Gurrin, C., Cid, YD., Liauchuk, V., Kovalev, V., Ben Abacha, A., Hasan, SA., Datla, V., Liu, J., Demner-Fushman, D., Pelka, O., Friedrich, CM., Chamberlain, J., Clark, A., Garcia Seco De Herrera, A., Garcia, N., Kavallieratou, E., del Blanco, CR., Rodríguez, CC., Vasillopoulos, N. and Karampidis, K., (2019). ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications
Leyva, R., Doctor, F., Garcia Seco De Herrera, A. and Sahab, S., (2019). Multimodal Deep Features Fusion For Video Memorability Prediction
Yagis, E., Garcia Seco De Herrera, A. and Citi, L., (2019). Generalization Performance of the Deep Learning Models in Neurodegenerative Disease Classification.
Garcia Seco De Herrera, A., Long, LR. and Antani, S., (2018). Graph Representation for Content–based fMRI Activation Map Retrieval
Garcia Seco De Herrera, A., Eickhof, C., Andrearczyk, V. and Müller, H., (2018). Overview of the ImageCLEF 2018 Caption Prediction Tasks
Ionescu, B., Müller, H., Villegas, M., Garcia Seco De Herrera, A., Eickhoff, C., Andrearczyk, V., Dicente Cid, Y., Liauchuk, V., Kovalev, V., Hasan, SA., Ling, Y., Farri, O., Liu, J., Lungren, M., Dang-Nguyen, D-T., Piras, L., Riegler, M., Zhou, L., Lux, M. and Gurrin, C., (2018). Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation
Abacha, AB., Garcia Seco De Herrera, A., Wang, K., Long, LR., Antani, S. and Demner-Fushman, D., (2017). Named Entity Recognition in Functional Neuroimaging Literature
Eickhoff, C., Schwall, I., Garcia Seco De Herrera, A. and Müller, H., (2017). Overview of ImageCLEFcaption 2017 – Image Caption Prediction and Concept Detection for Biomedical Images
Ionescu, B., Müller, H., Villegas, M., Arenas, H., Boato, G., Dang-Nguyen, D-T., Dicente Cid, Y., Eickhoff, C., Garcia Seco De Herrera, A., Gurrin, C., Islam, B., Kovalev, V., Liauchuk, V., Mothe, J., Piras, L., Riegler, M. and Schwall, I., (2017). Overview of ImageCLEF 2017: Information extraction from images
Abacha, AB., Seco De Herrera, AG., Gayen, S., Demner-Fushman, D. and Antani, S., (2017). NLM at ImageCLEF 2017 caption task
Garcia Seco De Herrera, A., Long, LR. and Antani, S., (2016). Content–based fMRI Brain Maps Retrieval
Garcia Seco De Herrera, A., Schaer, R., Antani, S. and Müller, H., (2016). Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation
Garcia Seco De Herrera, A., Schaer, R., Bromuri, S. and Müller, H., (2016). Overview of the ImageCLEF 2016 Medical Task
Villegas, M., Müller, H., Garcia Seco De Herrera, A., Schaer, R., Bromuri, S., Gilbert, A., Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Mikolajczyk, K., Puigcerver, J., Toselli, AH., Sánchez, J-A. and Vidal, E., (2016). General Overview of ImageCLEF at the CLEF 2016 Labs
Villegas, M., Müller, H., Gilbert, A., Piras, L., Wang, J., Mikolajczyk, K., Garcia Seco De Herrera, A., Bromuri, S., Amin, MA., Mohammed, AK., Acar, B., Uskudarli, S., Marvasti, NB., Aldana, JF. and del Mar Roldan Garcia, M., (2015). General Overview of ImageCLEF at the CLEF 2015 Labs
Garcia Seco De Herrera, A., Markonis, D., Joyseeree, R., Schaer, R., Foncubierta-Rodríguez, A. and Müller, H., (2015). Semi–Supervised Learning for Image Modality Classification
Garcia Seco De Herrera, A., Foncubierta-Rodríguez, A. and Müller, H., (2015). Medical case-based retrieval: integrating query MeSH terms for query-adaptive multi-modal fusion
Garcia Seco De Herrera, A., Müller, H. and Bromuri, S., (2015). Overview of the ImageCLEF 2015 medical classification task
Garcia Seco De Herrera, A., Foncubierta-Rodríguez, A., Schiavi, E. and Müller, H., (2014). 2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions
Garcia Seco De Herrera, A., Kalpathy-Cramer, J., Demner-Fushman, D., Antani, S. and Müller, H., (2014). Overview of the ImageCLEF 2013 medical tasks
Garcia Seco De Herrera, A., Markonis, D., Schaer, R., Eggel, I. and Müller, H., (2014). The medGIFT Group in ImageCLEFmed 2013
García Seco de Herrera, A., Foncubierta-Rodríguez, A., Markonis, D., Schaer, R. and Müller, H., (2014). Crowdsourcing for Medical Image Classification
Foncubierta-Rodríguez, A., Garcia Seco De Herrera, A. and Müller, H., (2013). Medical Image Retrieval using Bag of Meaningful Visual Words: Unsupervised visual vocabulary pruning with PLSA
Garcia Seco De Herrera, A., Markonis, D. and Müller, H., (2013). Bag-of-Colors for Biomedical Document Image Classification
Aswani, N., Beckers, T., Birngruber, E., Boyer, C., Burner, A., Bystroň, J., Choukri, K., Cruchet, S., Cunningham, H., Dědek, J., Dolamic, L., Donner, R., Dungs, S., Eggel, I., Foncubierta-Rodríguez, A., Fuhr, N., Funk, A., Garcia Seco De Herrera, A., Gaudinat, A., Georgiev, G., Gobeill, J., Goeuriot, L., Gómez, P., Greenwood, M., Gschwandtner, M., Hanbury, A., Hajič, J., Hlaváčová, J., Holzer, M., Jones, G., Jordan, B., Jordan, M., Kaderk, K., Kainberger, F., Kelly, L., Kriewel, S., Kritz, M., Langs, G., Lawson, N., Markonis, D., Martinez, I., Momtchev, V., Masselot, A., Mazo, H., Müller, H., Palotti, JA., Pecina, P., Pentchev, K., Peychev, D., Pletneva, N., Pottecherc, D., Roberts, A., Ruch, P., Sachs, A., Samwald, M., Schneller, P., Stefanov, V., Tinte, MA., Ure v sová, Z., Vargas, A. and Vishnyakova, D., (2013). Khresmoi – multilingual semantic search of medical text and images
Aswani, N., Beckers, T., Birngruber, E., Boyer, C., Burner, A., Bystroň, J., Choukri, K., Cruchet, S., Cunningham, H., Dědek, J., Dolamic, L., Donner, R., Dungs, S., Eggel, I., Foncubierta-Rodríguez, A., Fuhr, N., Funk, A., Garcia Seco De Herrera, A., Gaudinat, A., Georgiev, G., Gobeill, J., Goeuriot, L., Gomez, P., Greenwood, M., Gschwandtner, M., Hanbury, A., Hajič, J., Hlaváčová, J., Holzer, M., Jones, G., Jordan, B., Jordan, M., Kaderk, K., Kainberger, F., Kelly, L., Kriewel, S., Kritz, M., Langs, G., Lawson, N., Markonis, D., Martinez, I., Momtchev, V., Masselot, A., Mazo, H., Müller, H., Palotti, JA., Pecina, P., Pentchev, K., Peychev, D., Pletneva, N., Pottecherc, D., Roberts, A., Ruch, P., Sachs, A., Samwald, M., Schneller, P., Stefanov, V., Tinte, MA., Ure v sová, Z., Vargas, A. and Vishnyakova, D., (2013). Khresmoi Professional: Multilingual Semantic Search for Medical Professionals
García Seco de Herrera, A., Markonis, D., Eggel, I. and Müller, H., (2012). The medGIFT Group in ImageCLEFmed 2012
Markonis, D., García Seco de Herrera, A., Eggel, I. and Müller, H., (2012). Multi-scale visual words for hierarchical medical image categorization
Müller, H., García Seco de Herrera, A., Kalpathy-Cramer, J., Demner-Fushman, D., Antani, S. and Eggel, I., (2012). Overview of the ImageCLEF 2012 medical image retrieval and classification tasks
Aswani, N., Beckers, T., Birngruber, E., Boyer, C., Burner, A., Bystroň, J., Choukri, K., Cruchet, S., Cunningham, H., Dědek, J., Dolamic, L., Donner, R., Dungs, S., Eggel, I., Foncubierta-Rodríguez, A., Fuhr, N., Funk, A., García Seco de Herrera, A., Gaudinat, A., Georgiev, G., Gobeill, J., Goeuriot, L., Gómez, P., Greenwood, M., Gschwandtner, M., Hanbury, A., Hajič, J., Hlaváčová, J., Holzer, M., Jones, G., Jordan, B., Jordan, M., Kaderk, K., Kainberger, F., Kelly, L., Mriewel, S., Kritz, M., Langs, G., Lawson, N., Markonis, D., Martinez, I., Momtchev, V., Masselot, A., Mazo, H., Müller, H., Pecina, P., Pentchev, K., Peychev, D., Pletneva, N., Pottecherc, D., Roberts, A., Ruch, P., Samwald, M., Schneller, P., Stefanov, V., Tinte, MA., Ure v sová, Z., Vargas, A. and Vishnyakova, D., (2012). Khresmoi: Multimodal Multilingual Medical Information Search
Markonis, D., García Seco de Herrera, A., Eggel, I. and Müller, H., (2011). The MedGIFT group at ImageCLEFmed 2011
Kalpathy-Cramer, J., Müller, H., Bedrick, S., Eggel, I., García Seco de Herrera, A. and Tsikrika, T., (2011). Overview of the CLEF 2011 medical image classification and retrieval tasks
Martín, A., Garamendi, JF., García Seco de Herrera, A. and Schiavi, E., (2011). Medical Images Rician Based Denoising
García Seco de Herrera, A., Garamendi, JF., Pajares, G., Schiavi, E. and Hernández-Tamames, JA., (2011). Effect of Multichannel Inverse Scaling Denoising in Detection of Injured White Matter in Fractional Anisotropy Maps
Tsikrika, T., García Seco de Herrera, A. and Müller, H., (2011). Assessing the Scholarly Impact of ImageCLEF
Ríos, M., García Seco de Herrera, A., García, J., Hernández-Tamames, JA. and Schiavi, E., (2010). Traumatic Brain injury rehabilitation in the chronic stage: changes in brain volume and BOLD signal
García Seco de Herrera, A., Garamendi, JF., Schiavi, E. and Hernández-Tamames, JA., (2010). Filtrado Multicanal de Ruido en DWI Mediante Variación Total e Iteraciones de Bregman
Álvarez-Linera, J., Hernández-Tamames, JA., Rábano, A., Díaz, MC., García Seco de Herrera, A., Alfayate, E., García, S., Dobato, JL. and Peraita, H., (2009). Neuropsychological and imaging (MR) biomarkers in the early detection of Mild Cognitive Impairment (MCI)
Reports and Papers (1)
Markonis, D., Schaer, R., Garcia Seco De Herrera, A. and Müller, H., (2017). The Parallel Distributed Image Search Engine (ParaDISE)
Thesis dissertation (2)
Garcia Seco De Herrera, A., (2015). Use Case Oriented Medical Visual Information Retrieval & System Evaluation. PhD Thesis
García Seco de Herrera, A., (2009). Validation of DARTEL registration technique. Application to Mild Cognitive Impairment and Schizophrenia using Voxel Based Morphometry. Master's Thesis
Grants and funding
2023
Daedalus Fractal Biomarker and Experimental Longitudinal Study
Verenigma Ltd
2022
Check4Cancer KTP Application (February 2022 submission).
Innovate UK (formerly Technology Strategy Board)
Creating a 'Common Value' Business Model
University of Essex (ESRC IAA)
Impact Global Work
University of Essex (ESRC IAA)
ECO-COATING � Engineering Control of Organic Coatings on Autonomous Navy Gliders
US Department of Defense: Defense Advanced Research Projects Agency (DARPA)
2021
Proof of Concept for an AI procedure in Chest X-Ray screening
University of Essex (GCRF)
2020
Check4Cancer skin cancer AI model
Check4Cancer
2019
Neotas KTP
Innovate UK (formerly Technology Strategy Board)
FIRZA
Innovate UK (formerly Technology Strategy Board)
2018
The creation of an innovative SaaS based product that helps content agencies and brands to create video content and distribution strategies for marketing,
Innovate UK (formerly Technology Strategy Board)
Contact
Academic support hours:
Tuesdays at 10 am (Zoom Meeting ID: 931 3308 8285) to be confirmed in advance via email.
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