People

Dr Alba Garcia Seco De Herrera

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Alba Garcia Seco De Herrera
  • Email

  • Location

    5B.538, Colchester Campus

  • Academic support hours

    Tuesdays at 10 am (Zoom Meeting ID: 931 3308 8285)

Profile

Biography

Dr Alba García Seco de Herrera is a Lecturer at the School of Computer Science and Electronic Engineering (CSEE) since September 2017. Her research interest lie primarily in the area of Computer Vision for Biomedical Imaging with a special focus on image retrieval and evaluation. She also cast the problem of image understanding as a cross-modality matching scenario in which visual content and textual information need to be combined. She has published more than 50 refereed papers on medical imaging, image retrieval and evaluation. According to Google Scholar she has presently an h-index of 19 and an i10-index of 24. 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

  • PhD Computer Science University of Geneva,

  • M.S. Telemedicine and Bioengineering Technical University of Madrid,

  • B.S.-M.S. Mathematics Complutense University of Madrid,

Appointments

University of Essex

  • Lecturer, CSEE, University of Essex (1/9/2017 - present)

Other academic

  • Postdoctoral Fellow, Communicatios Eingineering Branch, United States National Library of Medicine (1/7/2015 - 30/6/2017)

  • Research Assistant, Institute of Information Systems, HES-SO Valais-Wallis (15/3/2011 - 28/2/2019)

  • Research Assistant, Division of Neuroimage, General Electric Healthcare (1/8/2010 - 31/1/2011)

  • Research Assistant, Division of Neuroimage, CIEN Foundation (1/4/2010 - 31/7/2010)

  • Research Assistant, Division of Applied Mathematics, King Juan Carlos University (1/1/2010 - 31/3/2010)

Research and professional activities

Research interests

Computational neuroscience

Open to supervise

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

Publications

Journal articles (8)

Sae Jong, N., Garcia Seco De Herrera, A. and Phukpattaranont, P., (2020). Multimodal Data Fusion of Electromyography and Acoustic Signals for Thai Syllable Recognition. IEEE Journal of Biomedical and Health Informatics, 1-10

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., (2010). Different Gray Matter Patterns in Chronic Schizophrenia and Chronic Bipolar Disorder Patientes Identified Using Voxel-Based Morphometry. European Archives of Psychiatry and Clinical Neuroscience

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 (48)

Chamberlain, J., Campello, A., Wright, JP., Clift, LG., Clark, A. and García Seco de Herrera, A., Overview of the ImageCLEFcoral 2020 Task: Automated Coral Reef Image Annotation

Pelka, O., Friedrich, CM., García Seco de Herrera, A. and Müller, H., Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding

García Seco de Herrera, A., Parrilla Andrade, F., Bentley, L. and Aceves Compean, A., Essex at ImageCLEFcaption 2020 task

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

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

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

García Seco de Herrera, A., Foncubierta-Rodríguez, A., Markonis, D., Schaer, R. and Müller, H., (2014). Crowdsourcing for Medical Image Classification

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

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

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

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

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)

Grants and funding

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

alba.garcia@essex.ac.uk

Location:

5B.538, Colchester Campus

Academic support hours:

Tuesdays at 10 am (Zoom Meeting ID: 931 3308 8285)