Publications Visilab | Computer Vision and Artificial Intelligence research group

2022

A. Pedraza, O. Deniz, G. Bueno, «Lyapunov stability for detecting adversarial image examples», Chaos, Solitons and Fractals, ISSN 0960-0779, vol 155, pp. 111745, DOI: 10.1016/j.chaos.2021.111745 February 2022.

A. Pedraza, O. Déniz, G. Bueno, «Really Natural Adversarial Examples», International Journal of Machine Learning and Cybernetics, April 2022.

Noelia Vallez, Gloria Bueno, Oscar Deniz, Saul Blanco, «Diffeomorphic Transforms for Data Augmentation of Highly Variable Shape and Texture Objects», Computer Methods and Programs in Biomedicine, Vol 219, pp. 106775, DOI: 10.1016/j.cmpb.2022.106775, June 2022.

O. Deniz, A. Pedraza, G. Bueno, «Detecting Chaos in Adversarial Examples», Chaos, Solitons and Fractals, ISSN 0960-0779, vol 163, N 112577, DOI: 10.1016/j.chaos.2022.112577, October 2022.

2021

A. Pedraza, O. Déniz, G. Bueno, “On the relationship between generalization and robustness to adversarial examples”, Symmetry 13(5):817 DOI:10.3390/sym13050817, May 2021.

Jesus Salido, Vanesa Lomas, Jesus Ruiz-Santaquiteria, Oscar Deniz, “Automatic handgun detection with deep learning in video surveillance images”, Appl. Sci. 11(13), 6085, June 2021.

Fernando J. Rendón-Segador, Juan A. Álvarez-García, Fernando Enríquez, Oscar Deniz, “ViolenceNet: Dense Multi Head Self-Attention with Bidirectional Convolutional LSTM for detecting violence”, Electronics 10(13), 1601, July 2021.

Alberto Velasco, Jesús Ruiz, Noelia Vállez, Oscar Déniz, “Using Human Pose Information for Handgun Detection”, Neural Computing and Applications, July 2021.

J. Ruiz, A. Velasco, N. Vállez, G. Bueno, J.A. Álvarez-García, O. Déniz, «Handgun detection using combined human pose and weapon appearance», IEEE Access. vol 9, pp. 123815-123826, DOI: 10.1016/j.cmpb.2022.106775, Sep 2021.

J. Salido, P.T. Toledano, N. Vállez, O. Deniz, J. Ruiz-Santaquiteria, G. Cristobal, G. Bueno, «MicroHikari3D: an automated DIY digital microscopy platform with deep learning capabilities», Biomedical Optics Express, vol 12, N 11, pp 7223-7243, DOI: 10.1364/BOE.439014, Nov 2021.

2020

Gloria Bueno, Jesus Ruiz-Santaquiteria, Oscar Deniz, Noelia Vallez, Gabriel Cristobal, «Semantic versus Instance Segmentation in Microscopic Algae Detection», Engineering Applications of Artificial Intelligence Volume 87, DOI: 103271, January 2020.

Noelia Vallez, Stephan Krauss, Jose Luis Espinosa-Aranda, Alain Pagani, Kasra Seirafi, Oscar Deniz, «Automatic Museum Audio Guide», Sensors, 20(3), 779, January 2020.

O. Déniz, A. Pedraza, N. Vallez, J. Salido, G. Bueno, «Robustness to Adversarial Examples can be Improved with Overfitting», International Journal of Machine Learning and Cybernetics 11(4), DOI:10.1007/s13042-020-01097-4, April 2020.

N. Vallez, A. Velasco, O. Déniz, «Deep Autoencoder for False Positive Reduction in Handgun Detection», Neural Computing and Applications 33(3):1-11 DOI:10.1007/s00521-020-05365-w, June 2020.

A. Pedraza, O. Déniz, G. Bueno, » Approaching Adversarial Example Classification with Chaos Theory», Entropy 22(11):1201 DOI:10.3390/e22111201, October 2020.

R. Verma et al., «MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge,» in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2021.3085712.

G. Cristóbal, S. Blanco, G. Bueno, «Modern Trends in Diatom Identification«, DOI 10.1007/978-3-030-39212-3. 2020.

Vallez N., Pedraza A., Sánchez C., Salido J., Deniz O., Bueno G., «Diatom Feature Extraction and Classification». In: Cristóbal G., Blanco S., Bueno G. (eds) Modern Trends in Diatom Identification. Developments in Applied Phycology, vol 10. pp 151-164. Springer, Cham. doi 10.

Salido J, Sánchez C, Ruiz-Santaquiteria J, Cristóbal G, Blanco S, Bueno G. «A Low-Cost Automated Digital Microscopy Platform for Automatic Identification of Diatoms». Applied Sciences. 2020; 10(17):6033. https://doi.org/10.3390/app10176033. August 2020.

Bueno G, Fernandez-Carrobles MM, Gonzalez-Lopez L, Deniz O. “Glomerulosclerosis identification in whole slide images using semantic segmentation”. Comput Methods Programs Biomed. 2020;184:105273. doi:10.1016/j.cmpb.2019.105273. 2020.

López C, Bosch R, Orero G, et al. “The Immune Response in Nonmetastatic Axillary Lymph Nodes Is Associated with the Presence of Axillary Metastasis and Breast Cancer Patient Outcome”. Am J Pathol 190(3):660-673. doi:10.1016/j.ajpath.2019.11.002. 2020.

Bueno G, Gonzalez-Lopez L, Garcia-Rojo M, Laurinavicius A, Deniz O. “Data for glomeruli characterization in histopathological images”. Data Brief. 2020;29:105314. Doi:10.1016/j.dib.2020.105314. February 2020.

J. Borovec et al., «ANHIR: Automatic Non-Rigid Histological Image Registration Challenge,» in IEEE Transactions on Medical Imaging, vol. 39, no. 10, pp. 3042-3052, doi: 10.1109/TMI.2020.2986331. Oct. 2020.

C Sánchez-Bueno, G Cristóbal, J Ruiz-Santaquiteria, G Bueno, “System and method for identifying particles in a transmission microscopy” WO2020074762 A1. 2020.

López C, Bosch-Príncep R, Orero G, et al. “Peritumoral immune infiltrates in primary tumours are not associated with the presence of axillary lymph node metastasis in breast cancer: a retrospective cohort study”. PeerJ. 8:e9779. doi:10.7717/peerj.9779. September 2020.

Ruiz-Santaquiteria J, Velasco-Mata A, Vallez N, Bueno G, Álvarez-García J, Oscar Déniz O, «Handgun detection using combined human pose and weapon appearance», arXiv preprint arXiv:2010.13753.

Palacios F, Bueno G, Salido J, Diago MP, Hernández I, Tardaguila J, «Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions», Computers and Electronics in Agriculture,Volume 178,2020,105796, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105796.

López C, Gibert-Ramos A, Bosch R, et al. “Differences in the Immune Response of the Nonmetastatic Axillary Lymph Nodes between Triple-Negative and Luminal A Breast Cancer Surrogate Subtypes”. Am J Pathol 191(3):545-554. doi:10.1016/j.ajpath.2020.11.008. 2021.

Singh H, Cristobal G, Blanco S, Bueno G, Sanchez C, «Nonsubsampled contourlet transform based tone‐mapping operator to optimize the dynamic range of diatom shells«, Microscopy Research&Technique,
https://doi.org/10.1002/jemt.23759. March 2021.

Pedraza A, Déniz O, Bueno G, «On the Relationship between Generalization and Robustness to Adversarial Examples», Symmetry 2021, 13, 817. https://doi.org/10.3390/sym13050817.

2019

N. Lajara, J.L. Espinosa, O. Déniz, G. Bueno. «Optimum Web Viewer Application for DICOM Whole Slide Image Visualization in Anatomical Pathology», Computer Methods and Programs in Biomedicine Volume 179, 104983, October 2019.

G. Bueno, M. Fernández, L. González, O. Deniz. «Glomerulosclerosis Identification in Whole Slide Images using Semantic Segmentation», Computer Methods and Programs in Biomedicine 184(12):105273, DOI:10.1016/j.cmpb.2019.105273, December 2019.

A. S. Vázquez, D. Guirado, F. Ramos, R. Fernández, A. Adán, M.M Fernández, J.L Sánchez de Rojas, O. Déniz, «Un Laboratorio Docente en la Estratosfera», II Jornada de Innovación Docente Universidad de Castilla-La Mancha, D.O.I.: http://doi.org/10.18239/jor_21.2019.04, pp 285-286. June 2019.

O. Déniz, N. Vallez, G. Bueno, «Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off«, International Work-Conference on Artificial Neural Networks (IWANN 2019), Advances in Computational Intelligence pp 569-580, May 2019.

N. Vallez, A. Velasco, J.J. Corroto, O. Déniz, «Weapon detection for particular scenarios using deep learning», Iberian Conference on Pattern Recognition and Image Analysis (IBPRIA 2019) pp 371-382, September 2019.

M.M. Fernández, O. Déniz, F. Maroto, «Gun and knife detection based on Faster R-CNN for video surveillance», Iberian Conference on Pattern Recognition and Image Analysis (IBPRIA 2019) pp.441-452, DOI:10.1007/978-3-030-31321-0_38. September 2019.

J. Ruiz, A. Pedraza, C. Sánchez, J.A. Libreros, J. Salido, O. Déniz, S. Blanco, G. Cristóbal, G. Bueno, «Deep learning versus classic methods for multi-taxon diatom segmentation«, Iberian Conference on Pattern Recognition and Image Analysis (IBPRIA 2019), DOI:10.1007/978-3-030-31332-6_30. September 2019.

Fernando Enríquez de Salamanca Ros, Luis Miguel Soria-Morillo, Juan Antonio Álvarez García, Fernando Sancho Caparrini, Francisco Velasco Morente, Oscar Deniz and Noelia Vallez, «Vision and crowdsensing technology for an optimal response in physical-security», International Conference on Computational Science (ICCS) pp 15-26. 2019.

García-Rojo M, De Mena D, Muriel-Cueto P, Atienza-Cuevas L, Domínguez-Gómez M, Bueno G. “New European Union Regulations Related to Whole Slide Image Scanners and Image Analysis Software”. J Pathol Inform. 2019;10:2. doi:10.4103/jpi.jpi_33_18. January 2019.

Córdoba,J., Deniz, O., Bueno, G. (2019). “Deep learning for the automatic classification of tissue types in breast biopsies”. En XL Jornadas de Automática: libro de actas, Ferrol, 4-6 de septiembre de 2019 (pp. 48-54). DOI capítulo: https://doi.org/10.17979/spudc.9788497497169.048. September 2019.

Sánchez, C., Cristóbal, G., & Bueno, G., «Diatom identification including life cycle stages through morphological and texture descriptors». PeerJ, 7, e6770. https://doi.org/10.7717/peerj.6770. April 2019.

Sánchez C., Vállez N., Bueno G., Cristóbal G., «Diatom Classification Including Morphological Adaptations Using CNNs». In: Morales A., Fierrez J., Sánchez J., Ribeiro B. (eds) Pattern Recognition and Image Analysis. IbPRIA 2019. Lecture Notes in Computer Science, vol 11867. pp 317-328. Springer, Cham. https://doi.org/10.1007/978-3-030-31332-6_28. September 2019.

Singh H., Sánchez C., Cristóbal G., Bueno G., «Pencil Drawing of Microscopic Images Through Edge Preserving Filtering». In: Morales A., Fierrez J., Sánchez J., Ribeiro B. (eds) Pattern Recognition and Image Analysis. IbPRIA 2019. Lecture Notes in Computer Science, vol 11868. pp 189-200. Springer, Cham. https://doi.org/10.1007/978-3-030-31321-0_17. September 2019.

Gibert-Ramos A, López C, Bosch R, et al. “Immune response profile of primary tumour, sentinel and non-sentinel axillary lymph nodes related to metastasis in breast cancer: an immunohistochemical point of view”. Histochem Cell Biol. 152(3):177-193. doi:10.1007/s00418-019-01802-7. July 2019.

N. Lajara, J.L. Espinosa, O. Déniz, G. Bueno, «Optimum Web Viewer Application for DICOM Whole Slide Image Visualization in Anatomical Pathology», Computer Methods and Programs in Biomedicine Volume 179, 104983, October 2019.

N. Kumar et al., «A Multi-Organ Nucleus Segmentation Challenge,» in IEEE Transactions on Medical Imaging, vol. 39, no. 5, pp. 1380-1391,
doi: 10.1109/TMI.2019.2947628. October 2019.

2018

José Luis Espinosa-Aranda, Noelia Vállez, José María Rico-Saavedra, Javier Parra-Patiño, Gloria Bueno, Matteo Sorci, David Moloney, Dexmont Peña, Óscar Déniz. «Smart Doll: Emotion recognition using embedded deep learning», Symmetry 10, 387, 2018.

Ismael Serrano, Oscar Deniz, Jose L. Espinosa-Aranda, Gloria Bueno. “Fight Recognition in video using Hough Forests and 2D Convolutional Neural Network”, IEEE Transactions on Image Processing. DOI: 10.1109/TIP.2018.2845742. 08 June 2018.

I. Serrano, O. Deniz, G. Bueno, G. García-Hernando, T-K. Kim. “Spatio-Temporal Elastic Cuboid Trajectories for Efficient Fight Recognition using Hough Forests“, Machine Vision and Applications, Volume 29, Issue 2, pp 207–217. February 2018.

Jesus Ruiz-Santaquiteria, Jose Luis Espinosa-Aranda, Oscar Deniz, Carlos Sanchez, Maria Borrego-Ramos, Saul Blanco, Gabriel Cristobal, Gloria Bueno. “Low-cost oblique illumination: an image quality assessment”, Journal of Biomedical Optics. Jan;23(1):1-14. DOI: 10.1117/1.JBO.23.1.016001, 2018.

J. Gallego, A. Laurinavicius, G. Bueno, et al. “Glomerulus Classification and Detection Based on Convolutional Neural Networks”, Journal of Imaging, 4(1), 20; DOI: 10.3390/jimaging4010020. 2018.

Carlos Sanchez, Gabriel Cristóbal, Gloria Bueno, Saul Blanco, Maria Borrego-Ramos, Adriana Olenici, Anibal Pedraza, Jesus Ruiz-Santaquiteria. “Oblique illumination in microscopy: A quantitative evaluation”. Micron 105, 47-54,DOI: 10.1016/j.micron.2017.11.006. 2018.

Anibal Pedraza, Gloria Bueno, Oscar Déniz, Jesus Ruiz-Santaquiteria, Carlos Sanchez, Saul Blanco, Maria Borrego-Ramos, Adriana Olenici, Gabriel Cristobal, «Lights and pitfalls of convolutional neural networks for diatom identification», SPIE Photonics Europe, DOI:10.1117/12.2309488, May 2018.

Clunie D, Hosseinzadeh D, Wintell M, et al. “Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017”. J Pathol Inform. 2018;9:6. doi:10.4103/jpi.jpi_1_18. March 2018.

Qaiser T, Mukherjee A, Reddy Pb C, et al. «HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues». Histopathology. 2018;72(2):227-238. doi:10.1111/his.13333. January 2018.

Swiderska-Chadaj, Z., Markiewicz, T., Gallego, J., Bueno, G., Grala, B., & Lorent, M. (2018). «Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model«. Bulletin of The Polish Academy of Sciences-technical Sciences, 66, 849-856. December 2018.

Tadeo I., Gamero-Sandemetrio E., Berbegall A. P., Gironella M., Ritort F., Cañete A., Bueno G., Navarro S., Noguera R. «Lymph microvascularization as a prognostic indicator in neuroblastoma». Oncotarget. 2018; 9: 26157-26170. May 2018.

Libreros J., Bueno G., Trujillo M., Ospina M. «Diatom Segmentation in Water Resources». In: Serrano C. J., Martínez-Santos J. (eds) Advances in Computing. CCC 2018. Communications in Computer and Information Science, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-319-98998-3_7. August 2018.

Libreros J., Bueno G., Trujillo M., Ospina M., «Automated Identification and Classification of Diatoms from Water Resources». In: Vera-Rodriguez R., Fierrez J., Morales A. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2018. Lecture Notes in Computer Science, vol 11401. Springer, Cham. https://doi.org/10.1007/978-3-030-13469-3_58. pp 496-503. 2018

2017

Ismael Serrano Gracia. “Contributions to the problem of fight detection in video“, Electronic Letters on Computer Vision and Image Analysis 16(2):33-36; 2017.

Qaiser T., Mukherjee A., Reddy Pb C., Munugoti SD., Tallam V., Pitkäaho T., Lehtimäki T., Naughton T., Berseth M., Pedraza A., Mukundan R., Smith M., Bhalerao A., Rodner E., Simon M., Denzler J., Huang CH., Bueno G., Snead D., Ellis IO., Ilyas M., Rajpoot N. “HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues“, Histopathology. 2018 Jan;72(2):227-238. doi: 10.1111/his.13333. Epub 2017 Oct 27.

V. Della Mea, A. Laurinavičius, A. Rasmusson, G. Bueno, M. García-Rojo, M. Ilyas, D. de Mena-García, et al. “Teaching Digital Pathology: The International School of Digital Pathology and Proposed Syllabus“, J. Path Informatics, 25 July 2017.

Gloria Bueno, Oscar Deniz, Anibal Pedraza, Jesus Ruiz-Santaquitaria, Jesus Salido, Gabriel Cristobal , María Borrego-Ramos, Saul Blanco.”Automated Diatom Classification (Part A): Handcrafted Feature Approaches“, Appl. Sci. 2017, 7(8), 753; doi:10.3390/app7080753. 25 July 2017.

Anibal Pedraza, Gloria Bueno, Oscar Deniz, Gabriel Cristóbal, Saúl Blanco, María Borrego-Ramos.”Automated Diatom Classification (Part B): A Deep Learning Approach“, Appl. Sci. 2017, 7(5), 460; doi:10.3390/app7050460. 2 May 2017.

M. Milagro Fernández-Carrobles, GloriaBueno, Marcial García-Rojo, Lucía González-López, Carlos López, Oscar Déniz.”Automatic quantification of IHC stain in breast TMA using colour analysis“, Computerized Medical Imaging and Graphics, 2017, ISSN 0895-6111. July 2017.

Fernando Enríquez de Salamanca Ros, Luis Miguel Soria Morillo, Juan Antonio Álvarez-García, Francisco Velasco Morente and Oscar Déniz.” Existing approaches to smart parking: An overview. International Conference on Smart Cities. doi: https://doi.org/10.1007/978-3-319-59513-9_7. Málaga. 14-16 June 2017.

Deniz Oscar, Vallez Noelia, Espinosa-Aranda Jose L., Rico-Saavedra, Jose M., Parra-Patino Javier, Bueno Gloria, Moloney David, Dehghani Alireza, Dunne Aubrey, Pagani Alain, Krauss Stephan, Reiser Ruben, Waeny Martin, Sorci Matteo, Llewellynn Tim, Fedorczak Christian, Larmoire Thierry, Herbst Marco, Seirafi Andre, Seirafi Kasra.”Eyes of Things“, Sensors 2017, 17(5), 1173; doi:10.3390/s17051173. 21 May 2017.

Tim Llewellynn, M. Milagro Fernández-Carrobles, Oscar Deniz, Samuel Fricker, Amos Storkey, Nuria Pazos, Gordana Velikic, Kirsten Leufgen, Rozenn Dahyot, Sebastian Koller, Georgios Goumas, Peter Leitner, Ganesh Dasika, Lei Wang, Kurt Tutschku. “BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited paper“, CF’17 Proceedings of the Computing Frontiers Conference. ISBN: 978-1-4503-4487-6. Siena, Italy. 15 – 17 May 2017.

Laura Barisoni, Charlotte Gimpel, Renate Kain, Arvydas Laurinavicius, Gloria Bueno, Caihong Zeng, Zhihong Liu, Franz Schaefer, Matthias Kretzler, Lawrence B. Holzman, Stephen M. Hewitt.. “Digital pathology imaging as a novel platform for standardization and globalization of quantitative nephropathology“, Clinical Kidney Journal, Volume 10, Issue 2, 1 April 2017, Pages 176–187, https://doi.org/10.1093/ckj/sfw129.

2016

J.L. Espinosa-Aranda, I. Serrano, M.M. Fernández-Carrobles, I. Tadeo, R. Noguera, R. Burgos, G. Bueno.”Modelo logit de regresión nominal para la detección de fibras de reticulina en histopatología“, XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2016). Valencia, 23-25 noviembre 2016.

S. López , E. García , M.J. Corrales , L. Burriel , P. García , G. Bueno. “Herramienta para la Evaluación Automática del Alzheimer y Otras Demencias Relacionadas“, XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB2016), Valencia, 23-25 noviembre 2016

A. Pedraza, I. Serrano, MM. Fernandez-Carrobles, M. García Rojo, L. González, G. Bueno.”Diagnóstico Automático del HER2 con Deep Learning“, XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2016). Valencia, 23-25 noviembre 2016.

Pastor C., Jiménez A., Peralta M., Rienda MÁ., Corrales MJ., Bueno G.”Análisis de los depósitos de hierro en el cerebro mediante imágenes de resonancia magnética como posible biomarcador de la enfermedad de Alzheimer“, XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2016). Valencia, 23-25 noviembre 2016.

Gabriel Cristobal, Gloria Bueno, Saul Blanco, Carlos Sanchez, M. Borrego, Anibal Pedraza; Jesus Ruiz-Santaquiteria, Jose Luis Espinosa Aranda.”Automatic Diatom Identification for water quality assessment (Aqualitas)“, SPAOM16, Spanish-Portuguese Meeting for Advanced Optical Microscopy. Bilbao, 5-7 octubre 2016.

David Moloney, Dexmont Pena, Aubrey Dunne, Alireza Dehghani, Gary Baugh, Sam Caulfield, Kevin Lee, Xiaofan Xu, Maximilian Müller, Remi Gastaud, Ovidiu Vesa, Oscar Deniz Suarez, José Luis Espinosa Aranda, Noelia Vallez Enano.”Low-Cost Visually Intelligent Robots with EoT“, Workshop Robotics: Science and Systems (RSS 2016), Michigan (USA), 12-16 julio 2016.

A. Jiménez, G. Bueno, Ó. Déniz, D. Toomey, C. Conway.”Image Quality in Digital Pathology“, 1ª Jornadas de Estudiantes en Ingeniería Biomédica, IEEE EMB. UPC, Barcelona, 6-8 de julio de 2016.

M. Milagro Fernández-Carrobles, Ismael Serrano, Gloria Bueno, Oscar Déniz. “Bagging Tree Classifier and Texture Features for Tumor Identification in Histological Images” MIUA 2016: Medical Image Understanding and Analysis Conference, Loughborough (UK), 6-8 julio 2016.

S. Lopez, A. Jimenez, E. Garcia, G. Bueno, C. Pastor, M. A. Rienda. “Analysis of Multiple Variables Linked to Alzheimer’s Disease”, Iª Jornadas de Estudiantes en Ingeniería Biomédica – IEEE EMBS BCN Student Club, Barcelona, 6 julio 2016.

Saul Blanco, M. Borrego, Carlos Sanchez, Gabriel Cristobal, Jose Luis Espinosa Aranda, Anibal Pedraza, Jesus Ruiz-Santaquiteria, Gloria Bueno.”Métodos automáticos de identificación de diatomeas para la determinación de la calidad del agua (AQUALITAS)“, LIMNOLOGIA 2016 – XVIII Congress of The Iberian Association of Limnology. Tortosa, 4 de julio de 2016.

N. Vallez. “Eyes of Things”, ARTEMIS 2016 – Viena (Austria), 13-14 abril 2016.

Milagro Fernández-Carrobles, Carlos López, Guifré Orero, Gloria Bueno. “An Automated Tool for Quantifying Inmunohistochemical Stain in Breast Cancer Tissue”, ISBI16: International Symposium on Biomedical Imaging: From Nano to Macro, Praga 13-16 abril 2016.

Ana Jiménez, Gloria Bueno, Gabriel Cristóbal, Oscar Déniz, David Toomey, Catherine Conway.”Image quality metrics applied to digital pathology“, Proc. SPIE 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV, 98960S. Brussels, Belgium. 3 – 7 April 2016.

Jesus Salido, Oscar Deniz, Gloria Bueno. “SAINET: An Image Processing App for Assistance of Visually Impaired People in Social Interaction Scenarios“, Bioinformatics and Biomedical Engineering (IWBBIO 2016), Granada, 20-22 abril 2016.

Bueno G., Fernández-Carrobles MM., Deniz O., García-Rojo M.”New Trends of Emerging Technologies in Digital Pathology“, Pathobiology 2016. DOI:10.1159/000443482.

Irene Tadeo, Gloria Bueno, Ana P. Berbegall, M. Milagro Fernández-Carrobles, Victoria Castel, Marcial García-Rojo, Samuel Navarro, Rosa Noguera.”Vascular patterns provide therapeutic targets in aggressive neuroblastic tumors“, Oncotarget, Feb. 2016. DOI:10.18632/oncotarget.7661.

2015

M. Milagro Fernández-Carrobles, Gloria Bueno, Oscar Déniz, Jesús Salido, Marcial García-Rojo, Lucía González-López. “Influence of Texture and Colour in Breast TMA Classification“. PLoS One. October 29, 2015 DOI: 10.1371/journal.pone.0141556

Noelia Vallez, Jose Luis Espinosa-Aranda, Oscar Deniz, Daniel Aguado-Araujo, Gloria Bueno, Carlos Sanchez-Bueno. “Demo: The Eyes of Things Project“. ICDSC 2015 September 8–11, 2015, Seville, Spain. DOI: 10.475/123_4

Jose Luis Espinosa Aranda, Daniel Aguado, Oscar Deniz, Jesus Salido, Gloria Bueno, Noelia Vallez, M.M. Fernandez, Ismael Serrano. “Sistema automático para la medida de la talla del pie según Parámetros del dispositivo Brannock
“. XXXVI Jornadas de Automática. Bilbao, September 3, 2015

Jose Luis Espinosa-Aranda, Noelia Vallez, Carlos Sanchez-Bueno, Daniel Aguado-Araujo, Gloria Bueno, Oscar Deniz. “Pulga, a tiny open-source MQTT broker for flexible and secure IoT deployments“. Conference on Communications and Network Security (CNS), 2015 IEEE DOI: 10.1109/CNS.2015.7346889

Marcial García Rojo, Gloria Bueno.”Analysis of the impact of high-resolution monitors in digital pathology“. Journal of Pathology Informatics. 2015, Volumen 6:57.ISSN: 2229-5089

Noelia Vállez, Oscar Deniz, Gloria Bueno. “Sample Selection for Training Cascade Detectors” , PLoS ONE. DOI: 10.1371/journal.pone.0133059. July 2l 2015.

D. Moloney, O. Déniz, “A Vision for the Future“. IEEE Consumer Electronics. Volume:4 , Issue: 2. Page(s):40 – 45. ISSN:2162-2248. April 2015.

J. Salido, O. Déniz, G. Bueno, “Desarrollo de Aplicaciones de Salud para Dispositivos Móviles”. Informática y Salud. Nº110(8-13), Abril 2015.

I. Serrano, O. Déniz, G. Bueno, T-K. Kim, “Fast Fight Detection“, PLoS ONE. DOI: 10.1371/journal.pone.0120448. April 2015.

Gloria Bueno Garcia, Oscar Deniz Suarez, Jose Luis Espinosa Aranda, Jesus Salido Tercero, Ismael Serrano Gracia, Noelia Vallez Enano, “Learning Image Processing with OpenCV“. Packt Publishing, March 2015.

J. Víctor Marcos, R. Nava, G. Cristóbal, R. Redondo, B. Escalante-Ramírez, G. Bueno, O. Déniz, A. González-Porto, C. Pardo, F. Chung, T. Rodríguez. “Automated pollen identification using microscopic imaging and texture analysis“. Volume 68, Pages 36–46, DOI:10.1016/j.micron.2014.09.002. January 2015.

2014

M. Fernández, G. Bueno, O. Déniz, J. Salido, M. García-Rojo, L. Gonzández-López. “Frequential versus Spatial Colour Textons for Breast TMA Classification“. Comput Med Imaging Graph. 2014 Nov 18. pii: S0895-6111(14)00184-0. DOI: 10.1016/j.compmedimag.2014.11.009.

“AIDPATH – Digital Pathology Tools from and for Academia and Industry Collaboration“, AIDPATH Consortium. IMC2014, 18th Int. Microscopy Congress, Prague (Czech Republic), September 2014.

M. Fernández, G. Bueno, M. García-Rojo, O. Déniz, J. Salido, “Mapped Textons for Tissue Microarray Classification in Digital Pathology“, IMC2014, 18th Int. Microscopy Congress, Prague (Czech Republic), September 2014.

J. V. Marcos, G. Cristobal, G. Bueno, R. Nava, R. Redondo, B. Escalante-Ramirez,O Déniz . “Automatic classification of brightfield microscopy pollen samples using a Tchebichef moment-based texture descriptor”. IMC2014, 18th Int. Microscopy Congress, Prague (Czech Republic), September 2014.

O. Déniz, J.M. Gutierrez, J. Salido, G. Bueno, A. Bologlu. “Gliif: Beyond QR codes“, Jornadas de Automática, Septiembre 2014.

O. Déniz, J. Paton, J. Salido, G. Bueno, J. Ramanan, “A vision-based wayfinding algorithm for an indoor navigation app“, 8th Int. Conf. on Next Generation Mobile Apps, Services and Technologies (NGMAST September 2014).

G. Bueno, O. Déniz, M. Fernández, N. Vállez, J. Salido, “An Automated System for Whole Microscopic Image Acquisition and Analysis“, Microscopy Research and Technique. 2014 Sep;77(9):697-713. DOI: 10.1002/jemt.22391. Epub 2014 Jun 11.

M. Fernández, G. Bueno, O. Déniz, J. Salido and M. García-Rojo, “Automatic Handling of Tissue Microarray Cores in High-Dimensional Microscopy Images”, IEEE Journal of Biomedical and Health Informatics (title change: IEEE Transactions on Information Technology in Biomedicine), vol. 18(3), pp. 999-1007, May 2014.

M. Fernández, G. Bueno, O. Déniz, J. Salido, M. García-Rojo, “Automatic Handling of Tissue Microarray Cores in High-Dimensional Microscopy Images“. IEEE Journal on Biomedical and Health Informatics, 18(3), May 2014.

G. Bueno, O. Déniz, J. Salido , “Phantom to Patient Registration applied to Dosimetry”. In Procs. ESTRO April 33, Vienna (Austria), 2014.

G. Bueno, O. Déniz, J. Salido, “Accurate detection and tracking of ROIs for image-guided fractionated radiotherapy”, In Procs. ESTRO 33, Vienna (Austria), April 2014.

N. Vállez, G. Bueno, O. Déniz, J. Salido, C. Pastor, “ECOCAD: Sistema de detección de lesiones en ecografías“, INFORSALUD 2014, Madrid (Spain), March 2014.

G. Bueno, O. Déniz, J. Salido, “NEUROTOOL: Aplicación móvil de ayuda al diagnóstico de enfermedades neurodegenerativas“, INFORSALUD 2014, Madrid (Spain), March 2014.

J. Salido, O. Déniz, G. Bueno.”SAINET: Una aplicación móvil de procesamiento de imagen en contextos de interacción social para asistencia a personas invidentes“, INFORSALUD 2014, Madrid (Spain), March 2014.

N. Vállez, G. Bueno, O. Déniz, J. Dorado, J.A. Seoane, A. Pazos, C. Pastor. “Breast density classification to reduce false positives in CADe systems“, Computer Methods and Programs in Biomedicine, vol. 113, num. 2, pp. 569-584, February 2014.

O. Déniz, J. Salido, M. Fernandez, N. Vallez, I. Serrano, J. Paton, G. Bueno. “New functionality in OpenCV 3.0“, Accompanying article to “OpenCV Essentials”, Packt Publishing, 2014.

O. Déniz, I. Serrano, G. Bueno, T-K. Kim, “Fast Violence Detection in Video”, Int. Conf. on Computer Vision Theory and Applications, VISAPP January 2014, Lisbon (Portugal).

O. Déniz, J. Salido, M. Fernandez, N. Vallez, I. Serrano, J. Paton, G. Bueno, “OpenCV Essentials“. Packt Publishing, August 2014.

2013

M. Fernández, I. Tadeo, G. Bueno, R. Noguera, O. Déniz, J. Salido y M. García-Rojo, “TMA Vessel Segmentation Based on Color and Morphological Features: Application to Angiogenesis Research”, Scientific World Journal, vol. 2013, Article ID 263190, 11 pages, December 2013. DOI:10.1155/2013/2631

I. Serrano, O. Déniz, G. Bueno, “VISILAB at MediaEval 2013”, MediaEval 2013 Multimedia Benchmark Workshop, Barcelona (Spain), October 2013.

A. Sánchez, J.C. González, O. Déniz, “TimeViewer, a Tool for Visualizing the Problems of Background Subtration”, 6th Pacific Rim Symposium on Image and Video Technology (PSIVT), Guanajuato (Mexico), October 2013.

G. Bueno, M. Fernández, O. Déniz, J. Salido, N. Vállez, M. García-Rojo, “An entropy-based automated approach to prostate biopsy ROI segmentation”, Diagnostic Pathology 8 (Suppl 1), S24, September 2013.

G. Bueno, M. Fernández, O. Déniz, J. Salido, N. Vállez, M. García-Rojo, “A morphometric tool applied to angiogenesis research based on vessel segmentation“. Diagnostic Pathology, 8(Suppl 1):S20, September 2013.

M. Fernández, G. Bueno, O. Déniz, M. García-Rojo, “Breast Tissue Microarray Classification based on Texture and Frequential Features“. In Procs. MEDICON 2013, Seville, 25-28 Sept 2013.

N. Vállez, G. Bueno, O. Déniz, M. Fernández, C. Pastor, M. Á. Rienda, P. Esteve, M. Arias, “CADe system integrated within the electronic health record”, Journal of Biomedicine and Biotechnology (BioMed Research International) 2013, 2013:219407. Epub 2013 Sep 17 – DOI: 10.1155/2013/219407, August 2013.

N. Vállez, G. Bueno, O. Déniz, “Gradual False Positive Reduction at Detector Implantation“, 14th Conference on Artificial Intelligence in Medicine, AIME May 2013, Murcia, Volume 7885, 2013, pp 181-185.

G. Bueno, O. Déniz, J. Salido, M. Fernández, N. Vállez, M. García-Rojo. “Colour Model Analysis for Histopatology Image Processing“, Lectures Notes in Computational Vision and Biomechanics 6, Springer, 2013, M.E. Celebi and G. Schaeder (Ed). Book: Color Medical Image Analysis.

O. Déniz, “Fight Detection”, AAAI 2013 Spring Symposium on Weakly Supervised Learning from Multimedia, Palo Alto CA, USA. March 2013

N. Vállez, G. Bueno, O. Déniz, “Gradual False Positive Reduction at Detector Implantation”, 14th Conference on Artificial Intelligence in Medicine, AIME March 2013, Murcia.

G. Bueno, O. Déniz, J Salido, M. Fernández, N. Vállez, M. García-Rojo. Título Capítulo: ‘Colour Model Analysis for Histopathology Image Processing’, pp. 165-180. Libro: Color Medical Image Analysis. , Lecture Notes in Computational Vision and Biomechanics. Editores M. Emre Celebi y Gerald Schaefer, Springer Pb. ISBN: 978-94-007-5388-4, 2013.

O. Déniz, J. Salido, G. Bueno. Título Libro: ‘Programación de Apps de visión artificial’ Bubok-Cátedras INDRA, 2013, ISBN 978-84-686-3801-0. PDF

2012

R. Redondo, G. Bueno, G. Cristóbal, J. Vidal, O. Déniz, M. Garcia-Rojo, C. Murillo, F. Relea, J. González, “Quality evaluation of microscopy and scanned histological images for diagnostic purposes“, Micron, October 2012 Vol.43, pp. 334-343.

J. Salido, G. Bueno, O. Déniz, M. Fernández, “Programación de prototipos físicos como herramienta formativa en Informática“, XVIII JENUI 2012, Ciudad Real, pp. 319-326, 10-13 de julio 2012.

G. Bueno, R. González, O. Déniz, J. González, M. García-Rojo, “Autofocus evaluation for brightfield microscopy pathology“, Journal of Biomedical Optics, Vol. 17, 036008- DOI:10.1117/1.JBO.17.3.036008, Mar. 2012.

G. Bueno, R. González, O. Déniz, M. García-Rojo, J. González, M. Fernández, N. Vállez, J. Salido, “A parallel solution for high resolution histological image analysis”, Computer Methods and Programs in Biomedicine, vol. 108, pp. 388-401, 2012. DOI: 10.1016/j.cmpb.2012.03.007. March 2012.

J. Vidal, G . Bueno, J. Galeotti, M. García-Rojo, F. Relea, O. Déniz, “A fully automated approach to prostate biopsy segmentation based on level-set and mean filtering“, Journal of Pathology Informatics vol. 2:5 , DOI: 10.4103/2153-3539.92032, ISBN: 2153-3539, Jan 2012.

G. Bueno, M. García-Rojo, O. Déniz., Título Capítulo: “Emerging Trends: Grid Technology in Pathology“, pp. 218-232. Libro: Perspectives on Digital Pathology: Results of the COST Action IC0604 EURO-TELEPATH, IOS Press. Amsterdam, 2012, pp: 218-233, Marcial García-Rojo, Arvydas Laurinavicius, Bern Blobel, ISBN 978-1-61499-085-7.

2011

O. Déniz, G. Bueno, E. Bermejo, R. Sukthankar, “Fast and Accurate Global Motion Compensation“, Pattern Recognition, 2011 Vol.44 No.2, pp. 2887-2901. December 2011.

O. Déniz, G. Bueno, J. Salido, F. De la Torre, “Face Recognition Using Histograms of Oriented Gradients“, Pattern Recognition Letters, 2011 Vol.32 No.12, pp. 1598-1603, January 2011.

J. Salido, A. Lillo, O. Déniz, G. Bueno, “CtrWeb: Una Herramienta de Programación para Telecontrol de Sistemas Físicos Educativos“, Revista Iberoamericana de Automática e Informática Industrial, vol. 8, pp. 89–99, January 2011.

N. Vállez, G. Bueno, O. Déniz, J.A. Seoane, J. Dorado, A. Pazos, “A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories“, IbPRIA 2011: 580-587.

G. Bueno, O. Déniz, R. González-Morales, J. Vidal, J. Salido. Título Capítulo: ‘Microscopic Imaging’, Capítulo 13, pp. 273 -293. Libro: Optical and Digital Image Processing Fundamentals and Applications. Editores G. Cristobal, P.Schelkens and H. Thienpont, Pb. Wiley-VCH Verlag (Berlin). ISBN-10: 3-527-40956-4. ISBN-13: 978-3-527-40956-3, 2011.

2010

G. Bueno, N. Vállez, O. Déniz, P. Esteve, M.A. Rienda, C. Pastor, “Automatic Breast Parenchymal Density Classification Integrated into a CADe System“, International Journal of Computer Assisted Radiology and Surgery, Aug 2010 Vol.6 No.3, pp. 309-318.

N. Vállez, G. Bueno, O. Déniz, P. Esteve, M.A. Rienda, C. Pastor, “Automatic Breast Tissue Classification Based on BIRADS Categories“, Digital Mammography / IWDM 2010: 259-266, Jun 2010.

J. Salido, O. Déniz, G. Bueno y M. Fernández, “FTPack: un framework para la programación de sistemas físicos educativos basados en kits Fischertechnik“, VI Jornadas CEA de enseñanza a través de internet-web de la ingeniería de sistemas y automática, EIWISA, Jun 2010.

G. Bueno, O. Déniz, J. Salido, C. Carrascosa , J. M. Delgado, “A Geodesic Deformable Model for Automatic Segmentation of Image Sequences applied to Radio-Oncology“, International Journal of Computer Assisted Radiology and Surgery, May 2010 Vol.6 No.3, pp. 341-350.

G. Bueno, O. Déniz, J. Salido, C. Carrascosa, J.M. Delgado, “Three-dimensional organ modeling based on deformable surfaces applied to radio-oncology“, Journal of Zhejiang University SCIENCE C, May 2010 Vol.11 No.6.

2009

G. Bueno, O. Déniz, C. Carrascosa, J.M. Delgado, L. Brualla, “Fast Monte Carlo simulation on a voxelized human phantom deformed to a patient“, Medical Physics, Nov. 2009, vol 36, num 11.

G. Bueno, O. Déniz, J. Salido, M. García-Rojo, “Sistemas de análisis automatizado basados en preparaciones virtuales“, X Congreso Virtual Hispanoamericano de Anatomía Patológica, Nov. 2009.

G. Bueno, O. Déniz, J. Salido, M. García-Rojo, “Image processing methods and architectures in diagnostic pathology“, Folia histochemica et cytobiologica, Vol. 47, No. 4, 2009.

J. Salido, “Cibernética Aplicada. Robots Educativos“, Ed. RA-MA, 2009.

2008

G. Bueno, R. González, O. Déniz, J. González, M. García-Rojo, “Colour model analysis for microscopic image processing“, Diagnostic Pathology, 3(Suppl 1):S18, July 2008.

O. Déniz, G. Bueno, “Component Analysis in Artificial Vision“, in Encyclopedia of Artificial Intelligence, Idea Group Reference, 2008, pp. 367-371.