Dr Alba Garcia Seco De Herrera

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

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)