Dr. Anabel Martin Gonzalez

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  Ph.D. Anabel Martin-Gonzalez

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  Computational Learning & Imaging Reserach (CLIR)
  Assistant Profesor at Facultad de Matemáticas 
  Universidad Autónoma de Yucatán
  Periférico Norte, Merida, Mexico.


  Tel. y Fax: (999) 942 31 40 ext. 1129

 


Education and Awards

  • 2011: Ph.D. in Computer Science with Magna Cum Laude at TECHNISCHE UNIVERSITAET MUENCHEN (TUM), Germany, in the Chair of Computer Aided Medical Procedures (CAMP), "Advanced Imaging in Head-Mounted Displays for Patients with Age-Related Macular Degeneration".

  • 2006: Master in Computer Science at UNIVERSIDAD NACIONAL AUTONOMA DE MEXICO (UNAM), Mexico, "Sistema de clasificación de imágenes de microtornillos basado en una red neuronal artificial". Received the Alfonso Caso's Medal for outstanding academic performance.

  • 2004: Bachelor in Computer Science at UNIVERSIDAD AUTONOMA DE YUCATAN (UADY), Mexico, "Desarrollo de un sistema de cómputo para el análisis de imágenes, identificación y reconstrucción tridimensional de neuronas en el núcleo pedúnculo pontino del cerebro de ratas".

  • Membership to the National System of Researchers in Mexico since 2015, current level "SNI I".


Research Interests

  • Pattern Recognition in Images
  • Machine Learning
  • Augmented Reality

 Journal Publications

  • Revisión de Métodos de Reconocimiento de Vehículos usando Aprendizaje Automático (ISSN: 2007-2635), Josué David Pinzón-Vivas, Anabel Martin-Gonzalez, Abstraction and Application, Vol. 23, Pag. 62-70, 2019.

  • Sistema de navegación de vehículos autónomos basado en Real-Time Kinematics (ISSN: 2448-8364), Alex Antonio Turriza-Suárez, Arturo Espinosa-Romero, Anabel Martin-González,  Ingeniería–Revista Académica de la Facultad de Ingeniería, Universidad Autónoma de Yucatán, Vol. 23, No. 1, 2019.

  • A fast algorithm for a total variation based phase demodulation model (ISSN: 1098-2426), Carlos Brito-Loeza, Ricardo Legarda-Sáenz, Anabel Martin-Gonzalez, Numerical Methods for Partial Differential Equations, accepted for publication, DOI:10.1002/num.22444, October 2019.

  • Introducción a Técnicas de Segmentación de Células del Ensayo Cometa (ISNN: 2448-8364), Javier Luna-Gonzalez, Anabel Martin-Gonzalez, Carlos Brito-Loeza, Arturo Espinosa-Romero, Elda Pache-co-Pantoja, Ingeniería–Revista Académica de la Facultad de Ingeniería, Universidad Autónoma de Yucatán, Vol. 22, No. 3, 2018

  • Reconocimiento de gestos dinámicos para la manipulación de imágenes (ISSN:1870-4069), Damian A. Michel-Vera, Francisco Hernandez-Lopez, Anabel Martin-Gonzalez, Research in Computing Science, Vol. 147(7), Pag. 229-239, 2018.

  • A Mean Curvature Regularized BasedModel for Demodulating PhaseMaps from Fringe Patterns (ISSN: 1815-2406), Carlos Brito-Loeza, Ricardo Legarda-Sáenz, Arturo Espinosa-Romero, Anabel Martin-Gonzalez, Communications in Computational Physics, Vol. 24, No. 1, Pag. 27-43, 2018.

  • Mexican Sign Language Alphanumerical Gestures Recognition using 3D Haar-like Features (ISSN: 1548-0992), J. Jimenez, A. Martin, V. Uc and A. Espinosa, IEEE Latin America Transactions, Vol. 15, No. 10, Pag. 2000-2005, 2017.

  • Body Gestures Recognition System to Control a Service Robot (ISSN: 2074-9007), José L. Medina Catzin, Anabel Martin-Gonzalez, Carlos Brito-Loeza, Victor Uc-Cetina, International Journal of Information Technology and Computer Science, Vol. 9, Pag. 69-76, 2017.

  • Usability evaluation of an augmented reality system for teaching Euclidean vectors (ISSN: 1470-3297), Anabel Martin-Gonzalez, Angel Chi-Poot, Victor Uc-Cetina, Innovations in Education and Teaching International, Vol. 53, Num. 6, Pag.627-636, 2016.

  • Aprendizaje de vectores Euclidianos utilizando un sistema de realidad aumentada (ISSN:1870-4069), Angel Chi-Poot, Anabel Martin-Gonzalez, Victor Menendez-Dominguez, Arturo Espinosa-Romero, Research in Computing Science, Vol. 89, Pag. 9-16, 2015. 

  • A convex set based algorithm to automatically generate Haar-like features (ISSN:2333-9071), César Cobos-May, Víctor Uc-Cetina, Carlos Brito-Loeza and Anabel Martin-Gonzalez, Computer Science and Applications, Vol.2, Pag.64-70, 2015.

  • Introducción a técnicas de reconocimiento de iris (ISSN:2007-2635), Edgar Israel Hernandez-Garcia, Anabel Martin-Gonzalez, Carlos Brito-Loeza, Abstraction and Application, Vol.12, Pag.1-18, 2015.

  • Introducción a los métodos variacionales en procesamiento de imágenes: filtros de ruido (ISSN: 2007-2635), Carlos Brito-Loeza, Victor Uc-Cetina, Anabel Martin-Gonzalez, Abstraction and Application, Vol.10, Pag.19-34, 2014.

  • Mediated reality magnification for macular degeneration rehabilitation (ISSN:0950-0340), Anabel Martin-Gonzalez, Konstantin Kotliar, Jorge Rios-Martinez, Ines Lanzl, Nassir Navab, Journal of Modern Optics, Vol.61, Pag.1400-1408, 2014.

  • Improved neural classifier for microscrew shape recognition (ISSN: 1060-992X), A. Martin-Gonzalez, T. Baidyk, E. Kussul, O. Makeyev, Optical Memory and Neural Networks (Information Optics), Vol.19, Pag.220-226, 2010.

  • Head-mounted virtual loupe with sigth-based activation for surgical applications, A. Martin-Gonzalez, S. M. Heining, N. Navab, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Pag.207-208, Memorias de congresos , 2009.

  • Limited receptive area neural classifier for texture recognition of mechanical treated surfaces (ISSN: 0925-2312), O. Makeyev, E. Sazonov, T. Baidyk, A. Martín, Neurocomputing, Vol.71, Pag.1413-1421, 2009.

  • Permutation coding technique for image recognition systems (ISSN: 1045-9227), Ernst M. Kussul, Tatiana N. Baidyk, Donald C. Wunsch II, Oleksandr Makeyev, Anabel Martín, IEEE Transactions on Neural Networks, Vol.17, Pag.1566-1579, 2006.


Conference Publications

  • Online Breast Cancer Diagnosis System (ISBN: 978-3-319-30446-5), Asad Safi and Anabel Martin-Gonzalez, Communications in Computer and Information Science, Vol.597, Pag.108-115, 2016.

  • Towards and automatic counter of lunar craters,Jesús Cabrera González, Anabel Martin-Gonzalez, Jorge Lugo-Jiménez, Víctor Uc-Cetina, International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Vol. , Pag.282-285, 2014.

  • Simulation and modeling of metamorphopsia with a deformable grid (ISSN:0926-9630), A. Martin-Gonzalez, I. Lanzl, R. Khoramnia, N. Navab, Studies in health technology and informatics, Vol.163, Pag.336-342, 2011.

  • Image recognition systems based on random local descriptors, Ernst Kussul, Tatiana Baidyk, Donald Wunsch, Oleksandr Makeyev, Anabel Martín, IEEE International Joint Conference on Neural Networks, Vol. , Pag. 2415-2420, 2006.


Books

  • Intelligent Computing Systems, Anabel Martin-Gonzalez and Victor Uc-Cetina, SPRINGER, ISBN978-3-319-30446-5, 2016.

Book Chapters

  • Micromechanics as a testbed for artificial intelligence methods evaluation, PROFESSIONAL PRACTICE IN ARTIFICIAL INTELLIGENCE JOHN DEBENHAM, SPRINGER, Vol. 218, Pags. 352, Ernst Kussul, Tatiana Baidyk, Felipe Lara-Rosano, Oleksandr Makeyev, Anabel Martin, Donald Wunsch.

  • Reconocimiento de iris utilizando aprendizaje automático, UNIVERSIDAD JUAREZ AUTONOMA DE TABASCO, Walter Jiménez Jiménez, Anabel Martin-Gonzalez, Pags. 8, 2016.

  • Clasificador neuronal para el reconocimiento de imágenes de microtornillos en micromecánica, CCADET, Tetyana Baydyk, Ernst Kussul, Anabel Martín, Pags. 18, 2007.

  • Reconocimiento de imágenes en los procesos adaptivos para tarea de corte en micromáquinas herramienta, CCADET, Tetyana Baydyk, Ernst Kussul, Anabel Martín, Pags. 21, 2004.

Conferences

  • Sistema de realidad aumentada para apoyar la enseñanza de operaciones vectoriales, Encuentro Mexicano de Realidad Aumentada, ANGEL CHI-POOT, México, 2015.

  • Euclidean vectors in physics education using augmented reality, International Conference on Augmented and Virtual Reality, A. CHI-POOT, Italia, 2014.

  • Towards an automatic counter of lunar craters, International Conference on Electrical Engineering, Computing Science and Automatic Control, V. UC-CETINA J. LUGO-JIMENEZ J. CABRERA GONZALEZ, México, 2014.

  • Evaluation of hybrid magnification for AMD patients with an eye-tracking based simulation system, The Association for Research in Vision and Ophthalmology, Inc. (ARVO) (Annual Meeting), INEZ LANZL RAMIN KHORAMNIA NASSIR NAVAB, Estados Unidos, 2011.

  • Sight-based magnification system for surgical applications, Bildverarbeitung für die Medizin (BVM), SANDRO HEINING, NASSIR NAVAB, Alemania, 2010.

  • System for modeling and localizing metamorphosia in octimages, The Association for Research in Vision and Ophthalmology, Inc. (ARVO) (Annual Meeting), INES LANZL, RAMIN KHORAMNIA, NASSIR NAVAB, Estados Unidos , 2010.

  • Real time hybrid magnification system for AMD patients, The Association for Research in Vision and Ophthalmology, Inc. (ARVO) (Annual Meeting), INES LANZL, KONSTANTIN KOTLIAR, NASSIR NAVAB, Estados Unidos, 2009.

  • Neural classifier for microscrew shape recognition in micromechanics, XXXII CLEI Latin America Conference on Informatics, TETYANA BAYDYK, Chile , 2006.

  • Reconocimiento de texturas de superficies metálicas, Nacional, SOMI XX Congreso de Instrumentación, OLEKSANDR MAKEYEV, TETYANA BAYDYK, ERNST KUSSUL, México, 2005.

  • Método de alineamiento de imágenes de cortes histológicos elásticos deformados del núcleo pedúnculo pontino del cerebro de ratas, XVII Congreso Nacional y III Congreso Internacional de Informática y Computación de la ANIEI 2004, ARTURO ESPINOSA ROMERO, México, 2004.

  • Problemas en los procesos adaptivos para tareas de corte en micromáquinas herramienta, SOMI XIX Congreso de Instrumentación, TETYANA BAYDYK, ERNST KUSSUL, México, 2004.

  • Diseño y construcción de un brazo robótico de tres grados de libertad controlado desde una computadora PC 3er. Congreso Estudiantil de Computación CORE 2002, KAREN NAVARRETE KAO JESÚS BOTE MAY, México, 2002.

  • Diseño y construcción de un sistema de telemetría para el registro de potenciales de acción muliunitarios, SOMI XVII Congreso de Instrumentación, FRANCISCO HEREDIA LÓPEZ FERNANDO ÁLVAREZ CERVERA, México, 2002.

  • Interfaces con el mundo real, Nacional, 2° Congreso de Ciencias de la Computación, KAREN NAVARRETE KAO, JESÚS BOTE MAY, México,  2001.


Completed Theses

  • Online speaker diarization using single speaker model update with embeddings, Carlos Rodrigo Castillo Sánchez, 2020.

  • Análisis y procesamiento de imágenes ecocardiográficas en modelo murino, [Analysis and processing of echocardiographic images in murine model], Rafael Viana Cámara, 2019

  • Red neuronal con convolución dilatada para estimación del flujo óptico denso, [Neural network with dilated convolution to estimate dense optical flow], Iván Martínez Chin, 2019

  • Segmentación automática aplicada a electroforesis en gel de células individuales (ensayo cometa), [Computational analysis of cells processed by gel electrophoresis (comet assay)], Javier Luna González, 2018

  • Clasificación morfométrica de tumores cerebrales utilizando aprendizaje supervisado, [Brain tumor morphometric classification using supervised learning], Angel Carrillo Bermejo, 2018

  • Auto-Organización de Vehículos no Tripulados para Recorrer una Superficie Utilizando Aprendizaje por Refuerzo, [Self-organization of unmanned vehicles to cover a surface using reinforcement learning], Gian N. Cuello Nicholson, 2018

  • Implementación de un sistema de navegación cinética satelital para asistir en el control de posición de vehículos aéreos no tripulados, [Kinetic navigation satellite system to assist position control of unmanned aerial vehicles], Alex Turriza Suárez, 2017.

  • Interfaz interactiva basada en el reconocimiento de gestos corporales para controlar un robot de servicio, [Interactive interface based on body gestures recognition to control a service robot], José Luis Medina Catzin, 2017.

  • Implementación de hardware para la segmentación de iris, [Hardware implementation for iris segmentation], Kenny Canto Magaña, 2016.

  • Reconocimiento de señas de las manos a través de técnicas de aprendizaje automático, [Hand gesture recognition based on machine learning techniques], Javier Jiménez Villafaña, 2016.

  • Detección de cráteres lunares con técnicas de aprendizaje automático, [Lunar craters detection using machine learning techniques], Jesús Cabrera González, 2016.

  • Sistema de realidad aumentada para ayudar al aprendizaje de vectores Euclidianos.[Augmented reality system to assist learning of Euclidean vectors], Angel de Jesús Chi Poot, 2015.

  • Reconocimiento de iris usando técnicas de máquinas de aprendizaje, [Iris recognition using machine learning techniques], Edgar Israel Hernández García, 2015.


 Research Projects

Euclidean Vectors Education using Augmented Reality

Augmented reality is one of the emerging technologies that has demonstrated to be an efficient technological tool to enhance learning techniques. In this project, we developed an augmented reality system for teaching Euclidean vectors in physics and mathematics. The goal of this pedagogical tool is to facilitate user’s understanding of physical concepts, such as magnitude, direction, and orientation, together with basic vector-related operations like addition, subtraction and cross product.

 

 

Imaging problems

Imaging is the process of creating visual representation of objects. In the last years, advances in hardware and software have prompted a very fast growth in the field of imaging science. For instance, in the medical imaging field, high resolution images and new imaging techniques demand new algorithms and mathematical models to tackle new challenges in old processes such as image segmentation, image registration, image denoising and image inpaiting to name a few.