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2020 – today
- 2023
[j29]César Domínguez, Jónathan Heras
, Eloy J. Mata, Vico Pascual, Didac Royo, Miguel Ángel Zapata:
Binary and multi-class automated detection of age-related macular degeneration using convolutional- and transformer-based architectures. Comput. Methods Programs Biomed. 229: 107302 (2023)- [i30]Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio:
Semi-Supervised Machine Learning: a Homological Approach. CoRR abs/2301.11658 (2023) - [i29]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - 2022
- [c39]Gonzalo Santamaría, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Combining Image Processing Techniques, OCR, and OMR for the Digitization of Musical Books. DAS 2022: 553-567 - [c38]María Villota, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Text Classification Models for Form Entity Linking. DCAI (1) 2022: 260-269 - [c37]Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata:
Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset. EUROCAST 2022: 444-451 - [c36]Ángela Casado-García, Aitor Agirresarobe, Jon Miranda-Apodaca, Jónathan Heras, Usue Pérez-López:
Deep Detection Models for Measuring Epidermal Bladder Cells. IbPRIA 2022: 131-142 - [c35]Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Mitra Rezaei, Juan Manuel Górriz:
Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models. IWINAC (1) 2022: 145-155 - [i28]Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio:
A Topological Approach for Semi-Supervised Learning. CoRR abs/2205.09617 (2022) - [i27]Adrián Inés, Andrés Diaz-Pinto, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context. CoRR abs/2205.09678 (2022) - [i26]Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022) - 2021
- [j28]Ángela Casado-García, Gabriela Chichón, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, María López, Eloy J. Mata, Vico Pascual, Yolanda Sáenz:
MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images. Comput. Biol. Medicine 136: 104673 (2021) - [j27]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j26]Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Biomedical image classification made easier thanks to transfer and semi-supervised learning. Comput. Methods Programs Biomed. 198: 105782 (2021) - [j25]David Lacalle, Héctor Alfonso Castro-Abril, Teodora Randelovic, César Domínguez, Jónathan Heras, Eloy J. Mata, Gadea Mata, Yolanda Méndez, Vico Pascual, Ignacio Ochoa:
SpheroidJ: An Open-Source Set of Tools for Spheroid Segmentation. Comput. Methods Programs Biomed. 200: 105837 (2021) - [j24]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - [j23]Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel A. Gutiérrez-Naranjo, Jónathan Heras:
Optimizing the Simplicial-Map Neural Network Architecture. J. Imaging 7(9): 173 (2021) - [j22]Manuel García-Domínguez, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
UFOD: An AutoML framework for the construction, comparison, and combination of object detection models. Pattern Recognit. Lett. 145: 135-140 (2021) - [c34]Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata:
Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning. CAEPIA 2021: 3-13 - [c33]Ángela Casado-García, Jónathan Heras:
LabelDetection: Simplifying the Use and Construction of Deep Detection Models. CAEPIA 2021: 14-22 - [c32]María Villota, Gonzalo Santamaría, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Towards Combining Object Detection and Text Classification Models for Form Entity Recognition. CAEPIA 2021: 196-205 - [c31]Jónathan Heras:
Deep Learning Projects from a Regional Council: An Experience Report. Teaching ML 2021: 15-19 - [i25]Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jónathan Heras, Alireza Rahimi, Assef Zare, Ram Bilas Pachori, Juan Manuel Górriz:
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning. CoRR abs/2104.11949 (2021) - [i24]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - [i23]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR abs/2109.01120 (2021) - [i22]María Villota, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Text Classification Models for Form Entity Linking. CoRR abs/2112.07443 (2021) - [i21]Manuel García-Domínguez, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation. CoRR abs/2112.09043 (2021) - 2020
- [j21]Manuel García-Dominguez, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning Techniques. IEEE Access 8: 53443-53455 (2020) - [j20]Ángela Casado-García, Arantza del-Canto, Alvaro Sanz-Sáez, Usue Pérez-López, Amaia Bilbao-Kareaga, Felix B. Fritschi, Jon Miranda-Apodaca, Alberto Muñoz-Rueda, Anna Sillero-Martínez, Ander Yoldi-Achalandabaso, Maite Lacuesta, Jónathan Heras:
LabelStoma: A tool for stomata detection based on the YOLO algorithm. Comput. Electron. Agric. 178: 105751 (2020) - [j19]Adrián Carballal, Carlos Fernandez-Lozano, Jónathan Heras, Juan Romero:
Transfer learning features for predicting aesthetics through a novel hybrid machine learning method. Neural Comput. Appl. 32(10): 5889-5900 (2020) - [c30]Ángela Casado-García, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images. DAS 2020: 199-215 - [c29]Ángela Casado-García, Jónathan Heras:
Ensemble Methods for Object Detection. ECAI 2020: 2688-2695
2010 – 2019
- 2019
- [j18]Ángela Casado, César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual:
CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks. BMC Bioinform. 20(1): 323:1-323:14 (2019) - [j17]Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification. Comput. Biol. Medicine 108: 49-56 (2019) - [j16]César Domínguez, Arturo Jaime Elizondo, Jónathan Heras, Francisco J. García Izquierdo:
The Effects of Adding Non-Compulsory Exercises to an Online Learning Tool on Student Performance and Code Copying. ACM Trans. Comput. Educ. 19(3): 16:1-16:22 (2019) - [j15]Marina Arredondo-Santoyo, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual, Maria Soledad Vázquez-Garcidueñas, Gerardo Vázquez-Marrufo:
Automatic characterisation of dye decolourisation in fungal strains using expert, traditional, and deep features. Soft Comput. 23(23): 12799-12812 (2019) - [c28]Manuel García-Domínguez, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Jupyter Notebooks for Simplifying Transfer Learning. EUROCAST (2) 2019: 215-221 - [c27]Ángela Casado-García, Jónathan Heras, Alvaro Sanz-Sáez:
Google Colaboratory for Quantifying Stomata in Images. EUROCAST (2) 2019: 231-238 - [c26]Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
DeepCompareJ: Comparing Image Classification Models. EUROCAST (2) 2019: 256-262 - [c25]Anna Maria Bigatti, Jónathan Heras, Eduardo Sáenz-de-Cabezón:
Monomial Resolutions for Efficient Computation of Simplicial Homology. ISSAC 2019: 50-57 - [i20]Ángela Casado-García, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images. CoRR abs/1912.05846 (2019) - 2018
- [j14]César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
DecoFungi: a web application for automatic characterisation of dye decolorisation in fungal strains. BMC Bioinform. 19(1): 66:1-66:4 (2018) - [c24]Manuel García-Dominguez, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
An On-Going Framework for Easily Experimenting with Deep Learning Models for Bioimaging Analysis. DCAI (Special Sessions) 2018: 330-333 - [c23]Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
Towards Integrating ImageJ with Deep Biomedical Models. DCAI (Special Sessions) 2018: 334-338 - [i19]Ángela Casado, Jónathan Heras:
Guiding the Creation of Deep Learning-based Object Detectors. CoRR abs/1809.03322 (2018) - 2017
- [j13]César Domínguez, Jónathan Heras, Vico Pascual:
IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine. Comput. Biol. Medicine 84: 189-194 (2017) - [j12]César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual, Maria Soledad Vázquez-Garcidueñas, Gerardo Vázquez-Marrufo:
Extending GelJ for interoperability: Filling the gap in the bioinformatics resources for population genetics analysis with dominant markers. Comput. Methods Programs Biomed. 140: 69-76 (2017) - [j11]Carla Andrea Alonso, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual, Carmen Torres, Myriam Zarazaga:
Antibiogramj: A tool for analysing images from disk diffusion tests. Comput. Methods Programs Biomed. 143: 159-169 (2017) - [c22]César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual:
DetectionEvaluationJ: A Tool to Evaluate Object Detection Algorithms. EUROCAST (2) 2017: 273-280 - [c21]Ekaterina Komendantskaya, Jónathan Heras:
Proof Mining with Dependent Types. CICM 2017: 303-318 - [i18]Ekaterina Komendantskaya, Jónathan Heras:
Proof Mining with Dependent Types. CoRR abs/1705.04680 (2017) - 2016
- [j10]Jónathan Heras, César Domínguez, Eloy J. Mata, Vico Pascual, Carmen Lozano, Carmen Torres, Myriam Zarazaga:
A survey of tools for analysing DNA fingerprints. Briefings Bioinform. 17(6): 903-911 (2016) - [j9]Jónathan Heras, César Domínguez, Eloy J. Mata, Vico Pascual:
Surveying and benchmarking techniques to analyse DNA gel fingerprint images. Briefings Bioinform. 17(6): 912-925 (2016) - [j8]César Domínguez, Arturo Jaime Elizondo, Ana Sánchez, José Miguel Blanco, Jónathan Heras:
A comparative analysis of the consistency and difference among online self-, peer-, external- and instructor-assessments: The competitive effect. Comput. Hum. Behav. 60: 112-120 (2016) - [c20]Gadea Mata, Jónathan Heras, Miguel Morales, Ana Romero, Julio Rubio:
SynapCountJ: A Tool for Analyzing Synaptic Densities in Neurons. BIOIMAGING 2016: 25-31 - [c19]Gadea Mata, Germán Cuesto, Jónathan Heras, Miguel Morales, Ana Romero, Julio Rubio:
SynapCountJ: A Validated Tool for Analyzing Synaptic Densities in Neurons. BIOSTEC (Selected Papers) 2016: 41-55 - [c18]César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual:
WekaBioSimilarity - Extending Weka with Resemblance Measures. CAEPIA 2016: 89-98 - 2015
- [j7]Jónathan Heras, Francisco-Jesús Martín-Mateos, Vico Pascual:
Modelling algebraic structures and morphisms in ACL2. Appl. Algebra Eng. Commun. Comput. 26(3): 277-303 (2015) - [j6]Jónathan Heras, César Domínguez, Eloy J. Mata, Vico Pascual, Carmen Lozano, Carmen Torres, Myriam Zarazaga:
GelJ - a tool for analyzing DNA fingerprint gel images. BMC Bioinform. 16: 270:1-270:8 (2015) - [i17]Gadea Mata, Jónathan Heras, Miguel Morales, Ana Romero, Julio Rubio:
SynapCountJ - a Tool for Analyzing Synaptic Densities in Neurons. CoRR abs/1507.07800 (2015) - [i16]Jónathan Heras, Gadea Mata, Germán Cuesto, Julio Rubio, Miguel Morales:
Neuron detection in stack images: a persistent homology interpretation. CoRR abs/1509.04420 (2015) - 2014
- [j5]Jónathan Heras, Ekaterina Komendantskaya:
Recycling Proof Patterns in Coq: Case Studies. Math. Comput. Sci. 8(1): 99-116 (2014) - [j4]María Poza, César Domínguez, Jónathan Heras, Julio Rubio:
A Certified Reduction Strategy for Homological Image Processing. ACM Trans. Comput. Log. 15(3): 23:1-23:23 (2014) - [c17]Jesús Aransay-Azofra, Jose Divasón, Jónathan Heras, Laureano Lambán, María Vico Pascual, Ángel Luis Rubio, Julio Rubio:
Obtaining an ACL2 Specification from an Isabelle/HOL Theory. AISC 2014: 49-63 - [c16]Jónathan Heras, Ekaterina Komendantskaya:
ACL2(ml): Machine-Learning for ACL2. ACL2 2014: 61-75 - [i15]Jónathan Heras, Ekaterina Komendantskaya:
Proof Pattern Search in Coq/SSReflect. CoRR abs/1402.0081 (2014) - [i14]Jónathan Heras, Ekaterina Komendantskaya, Martin Schmidt:
Guarding (Co)Recursion in Coalgebraic Logic Programming. CoRR abs/1402.3690 (2014) - [i13]Jónathan Heras, Ekaterina Komendantskaya:
HoTT formalisation in Coq: Dependency Graphs \& ML4PG. CoRR abs/1403.2531 (2014) - [i12]Ana Romero, Jónathan Heras, Gadea Mata, Miguel Morales, Julio Rubio:
Procesamiento topo-geométrico de imágenes neuronales. CoRR abs/1403.6719 (2014) - [i11]Ana Romero, Jónathan Heras, Julio Rubio, Francis Sergeraert:
Defining and computing persistent Z-homology in the general case. CoRR abs/1403.7086 (2014) - 2013
- [j3]Jónathan Heras, Thierry Coquand, Anders Mörtberg, Vincent Siles:
Computing persistent homology within Coq/SSReflect. ACM Trans. Comput. Log. 14(4): 26:1-26:16 (2013) - [c15]Jónathan Heras, Ekaterina Komendantskaya, Moa Johansson, Ewen Maclean:
Proof-Pattern Recognition and Lemma Discovery in ACL2. LPAR 2013: 389-406 - [c14]Jónathan Heras, Gadea Mata, Ana Romero, Julio Rubio, Rubén Sáenz:
Verifying a Plaftorm for Digital Imaging: A Multi-tool Strategy. MKM/Calculemus/DML 2013: 66-81 - [c13]Jónathan Heras, Ekaterina Komendantskaya:
ML4PG in Computer Algebra Verification. MKM/Calculemus/DML 2013: 354-358 - [c12]Ekaterina Komendantskaya, Martin Schmidt, Jónathan Heras:
Exploiting Parallelism in Coalgebraic Logic Programming. WACT 2013: 121-148 - [i10]Jónathan Heras, Ekaterina Komendantskaya:
Statistical Proof-Patterns in Coq/SSReflect. CoRR abs/1301.6039 (2013) - [i9]Jónathan Heras, Ekaterina Komendantskaya:
ML4PG: proof-mining in Coq. CoRR abs/1302.6421 (2013) - [i8]Jónathan Heras, Ekaterina Komendantskaya:
Statistical Proof Pattern Recognition: Automated or Interactive? CoRR abs/1303.1419 (2013) - [i7]Jónathan Heras, Gadea Mata, Ana Romero, Julio Rubio, Rubén Sáenz:
Verifying a platform for digital imaging: a multi-tool strategy. CoRR abs/1303.1420 (2013) - [i6]María Poza, César Domínguez, Jónathan Heras, Julio Rubio:
A certified reduction strategy for homological image processing. CoRR abs/1306.0806 (2013) - [i5]Jónathan Heras, Ekaterina Komendantskaya, Moa Johansson, Ewen Maclean:
Proof-Pattern Recognition in ACL2. CoRR abs/1308.1780 (2013) - [i4]Ekaterina Komendantskaya, Martin Schmidt, Jónathan Heras:
Exploiting Parallelism in Coalgebraic Logic Programming. CoRR abs/1312.4454 (2013) - 2012
- [c11]Jónathan Heras, María Poza, Julio Rubio:
Verifying an Algorithm Computing Discrete Vector Fields for Digital Imaging. AISC/MKM/Calculemus 2012: 216-230 - [c10]Jónathan Heras, Maxime Dénès, Gadea Mata, Anders Mörtberg, María Poza, Vincent Siles:
Towards a Certified Computation of Homology Groups for Digital Images. CTIC 2012: 49-57 - [c9]Ekaterina Komendantskaya, Jónathan Heras, Gudmund Grov:
Machine Learning in Proof General: Interfacing Interfaces. UITP 2012: 15-41 - [i3]Jónathan Heras, María Poza, Julio Rubio:
Verifying an algorithm computing Discrete Vector Fields for digital imaging. CoRR abs/1207.3315 (2012) - [i2]Jónathan Heras, Thierry Coquand, Anders Mörtberg, Vincent Siles:
Computing Persistent Homology within Coq/SSReflect. CoRR abs/1209.1905 (2012) - 2011
- [j2]Jónathan Heras:
Mathematical knowledge management in algebraic topology. ACM Commun. Comput. Algebra 45(3/4): 236-237 (2011) - [j1]Jónathan Heras, Vico Pascual, Julio Rubio, Francis Sergeraert:
fKenzo: A user interface for computations in Algebraic Topology. J. Symb. Comput. 46(6): 685-698 (2011) - [c8]Jónathan Heras, Vico Pascual, Julio Rubio:
A Certified Module to Study Digital Images with the Kenzo System. EUROCAST (1) 2011: 113-120 - [c7]Jónathan Heras, María Poza, Maxime Dénès, Laurence Rideau:
Incidence Simplicial Matrices Formalized in Coq/SSReflect. Calculemus/MKM 2011: 30-44 - [c6]Jónathan Heras, Vico Pascual, Julio Rubio:
A System for Computing and Reasoning in Algebraic Topology. Calculemus/MKM 2011: 295-297 - 2010
- [c5]Jónathan Heras, Vico Pascual, Ana Romero, Julio Rubio:
Integrating Multiple Sources to Answer Questions in Algebraic Topology. AISC/MKM/Calculemus 2010: 331-335 - [c4]Jónathan Heras, Vico Pascual, Julio Rubio:
Proving with ACL2 the Correctness of Simplicial Sets in the Kenzo System. LOPSTR 2010: 37-51 - [i1]Jónathan Heras, Vico Pascual, Ana Romero, Julio Rubio:
Integrating multiple sources to answer questions in Algebraic Topology. CoRR abs/1005.0749 (2010)
2000 – 2009
- 2009
- [c3]Jónathan Heras, Vico Pascual, Julio Rubio:
Using Open Mathematical Documents to Interface Computer Algebra and Proof Assistant Systems. Calculemus/MKM 2009: 467-473 - 2008
- [c2]Jónathan Heras, Vico Pascual, Julio Rubio:
Mediated Access to Symbolic Computation Systems. AISC/MKM/Calculemus 2008: 446-461 - [c1]Jónathan Heras, Vico Pascual, Julio Rubio, Francis Sergeraert:
Improving the usability of Kenzo, a Common Lisp system for Algebraic Topology. ELS 2008: 155-176
Coauthor Index
Ángela Casado
aka: Ángela Casado-García
aka: Ángela Casado-García
Manuel García-Dominguez
aka: Manuel García-Domínguez
aka: Manuel García-Domínguez
Vico Pascual
aka: María Vico Pascual
aka: María Vico Pascual
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