Humberto Ochoa

Scopus Publications

Steel and Concrete Segmentation in Construction Sites Using Data Fusion: A Literature Review
Enrique Martín Luna Gutiérrez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Juan Humberto Sossa Azuela
Buildings, 2026
Construction progress monitoring remains predominantly manual, labor-intensive, and reliant on subjective human interpretation. Human dependence often leads to redundant or unreliable information, resulting in scheduling delays and increased costs. Advances in drones, point cloud generation, and multisensor data acquisition have expanded access to high-resolution as-built data. However, transforming data into reliable automated indicators of progress poses a challenge. A limitation is the lack of robust material-level segmentation, particularly for structural materials such as concrete and steel. Concrete and steel are crucial for verifying progress, ensuring quality, and facilitating construction management. Most studies in point cloud segmentation focus on object- or scene-level classification and primarily use geometric features, which limit their ability to distinguish materials with similar geometries but differing physical properties. A consolidated and systematic understanding of the performance of multispectral and multimodal segmentation methods for material-specific classification in construction environments remains unavailable. The systematic review addresses the existing gap by synthesizing and analyzing literature published from 2020 to 2025. The review focuses on segmentation methodologies, multispectral and multimodal data sources, performance metrics, dataset limitations, and documented challenges. Additionally, the review identifies research directions to facilitate automated progress monitoring of construction and to enhance digital twin frameworks. The review indicates strong quantitative performance, with multispectral and multimodal segmentation approaches achieving accuracies of 93–97% when integrating spectral information into point cloud or image-based pipelines. Large-scale environments benefit from combined LiDAR and high-resolution imagery approaches, which achieve classification quality metrics of 85–90%, thereby demonstrating robustness under complex acquisition conditions. Automated inspection workflows reduce inspection time from 24 h to less than 2 h and yield cost reductions of more than 50% compared to conventional methods. Additionally, deep-learning-based defect detection achieves inference times of 5–6 s per structural element, with reported accuracies of around 97%. The findings confirm productivity gains for construction monitoring.
Residual shallow convolutional neural network to classify microcalcifications clusters in digital mammograms
Ricardo Salvador Luna Lozoya, Humberto de Jesús Ochoa Domínguez, Juan Humberto Sossa Azuela, Vianey Guadalupe Cruz Sánchez, Osslan Osiris Vergara Villegas
Biomedical Signal Processing and Control, 2025
Demystifying Deep Learning Building Blocks
Humberto de Jesús Ochoa Domínguez, Vianey Guadalupe Cruz Sánchez, Osslan Osiris Vergara Villegas
Mathematics, 2024
Building deep learning models proposed by third parties can become a simple task when specialized libraries are used. However, much mystery still surrounds the design of new models or the modification of existing ones. These tasks require in-depth knowledge of the different components or building blocks and their dimensions. This information is limited and broken up in different literature. In this article, we collect and explain the building blocks used to design deep learning models in depth, starting from the artificial neuron to the concepts involved in building deep neural networks. Furthermore, the implementation of each building block is exemplified using the Keras library.
Lightweight CNN for Detecting Microcalcifications Clusters in Digital Mammograms
Computacion Y Sistemas, 2024
Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms
Ricardo Salvador Luna Lozoya, Humberto de Jesús Ochoa Domínguez, Juan Humberto Sossa Azuela, Vianey Guadalupe Cruz Sánchez, Osslan Osiris Vergara Villegas
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
A methodology for character recognition and revision of the linear equations solving procedure
María Cristina Guevara Neri, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Manuel Nandayapa, et al.
Information Processing and Management, 2023
Mexican traffic sign detection and classification using deep learning
Rúben Castruita Rodríguez, Carlos Mendoza Carlos, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez
Expert Systems with Applications, 2022
3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain
Leandro José Rodríguez Hernández, Humberto de Jesús Ochoa Domínguez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, et al.
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
Auto-adaptive multilayer perceptron for univariate time series classification
Felipe Arias del Campo, María Cristina Guevara Neri, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, et al.
Expert Systems with Applications, 2021
Radial Basis Function Neural Network for the Evaluation of Image Color Quality Shown on Liquid Crystal Displays
Felipe Arias Del Campo, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sanchez, Humberto De Jesus Ochoa Dominguez, Manuel Nandayapa
IEEE Access, 2021
The color quality of an image shown on a liquid crystal display (LCD) can be measured with a spectroradiometer; however, this instrument is expensive, work under controlled illumination conditions with an artificial source of light, and measurements take a long time. A spectroradiometer returns measurements of wavelength or CIE color space. A low-cost and fast alternative consists of using a digital camera that outputs RGB measurements. Unfortunately, comparisons between measurements obtained with both instruments cannot be performed; hence, conversion equations must be used. The main problem is that equations do not consider the effects caused by the camera lens, sensor variations, and configurable parameters such as gain and the exposure time. This paper proposes the architecture of a radial basis function neural network (RBFNN) to measure the image color quality displayed by an LCD using a digital camera. The RGB values acquired with a camera are used as inputs to the RBFNN. The output predicted the luminance and chromaticity components in the CIExyY color space and included the corrections to the lens and camera parameters. First, the RBFNN topology is explained, including the calculation of the number of neurons in the hidden layer, and the definition of the dispersion centers and their associated spread. Next, the experiments related to RGB color space reconstruction and conversion from RGB to CIE are presented. The proposed approach was tested on a real automotive scenario. The results obtained were similar to those measured with the spectroradiometer with an accuracy of 93.3%. Moreover, the results remained within limits established by the six-sigma methodology.
Peptidylarginine deiminase IV regulates breast cancer stem cells via a novel tumor cell-autonomous suppressor role
Nellie Moshkovich, Humberto J. Ochoa, Binwu Tang, Howard H. Yang, Yuan Yang, et al.
Cancer Research, 2020
The outcome of TGFβ antagonism in metastatic breast cancer models in vivo reflects a complex balance between tumor-suppressive and proprogression activities of TGFβ
Yuan Yang, Howard H. Yang, Binwu Tang, Alex Man Lai Wu, Kathleen C. Flanders, et al.
Clinical Cancer Research, 2020
Unified: Understanding new information from emergency departments involved in the San Bernardino terrorist attack
Wansiri Chaisirin, Preechaya Wongkrajang, Nattakarn Praphruetkit, Tanyaporn Nakornchai, Sattha Riyapan, et al.
Western Journal of Emergency Medicine, 2020
Auto-regularized Gradients of Adaptive Interpolation for MRI Super-Resolution
Leandro Morera Delfin, Raul Pinto Elias, Humberto de Jesús Ochoa Domínguez, Osslan Osiris Overgara Villegas
Journal of Signal Processing Systems, 2019
Using regression models for predicting the product quality in a tubing extrusion process
Vicente García, J. Salvador Sánchez, Luis Alberto Rodríguez-Picón, Luis Carlos Méndez-González, Humberto de Jesús Ochoa-Domínguez
Journal of Intelligent Manufacturing, 2019
Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
Vicente García, Ana I. Marqués, J. Salvador Sánchez, Humberto J. Ochoa-Domínguez
Computational Economics, 2019
Gradient management and algebraic reconstruction for single image super resolution
Leandro Morera Delfin, Mx Raul Pinto Elias, Humberto de Jesús Ochoa Domínguez
Is and T International Symposium on Electronic Imaging Science and Technology, 2019
Comparison of reconstruction strategies of compressive sensing applied to ultrasound images
Erick Toledo Gómez, Humberto de Jesús Ochoa Domínguez, Soledad Vianey Torres Argüelles, Leandro José Rodríguez Hernández
Advances in Intelligent Systems and Computing, 2019
High amplification scales handling frequency content and novel gradient sharpening procedures
Leandro Morera Delfin, Raul Pinto Elias, Humberto de Jesus Ochoa Dominguez, Osslan Osiris Vergara Villegas
Journal of Imaging Science and Technology, 2019
Overview of super-resolution techniques
Leandro Morera-Delfín, Raúl Pinto-Elías, Humberto-de-Jesús Ochoa-Domínguez
Advanced Topics on Computer Vision Control and Robotics in Mechatronics, 2018
Denoising of ultrasound medical images using the DM6437 high-performance digital media processor
Gerardo Adrián Martínez Medrano, Humberto de Jesús Ochoa Domínguez, Vicente García Jiménez
Advanced Topics on Computer Vision Control and Robotics in Mechatronics, 2018
Krüppel-like factor 4 mediates cellular migration and invasion by altering RhoA activity
Philip R. Brauer, Jee Hun Kim, Humberto J. Ochoa, Elizabeth R. Stratton, Kathryn M. Black, et al.
Cell Communication and Adhesion, 2018
Evaluation of denoising methods in the spatial domain for medical ultrasound imaging applications
Humberto de Jesús Ochoa Domínguez, Vicente García Jiménez
Intelligent Systems Reference Library, 2017
An insight on the ‘large G, small n’ problem in gene-expression microarray classification
V. García, J. S. Sánchez, L. Cleofas-Sánchez, H. J. Ochoa-Domínguez, F. López-Orozco
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
Denoising of PET Images using NSCT and Quasi-Robust Potentials
Jose Manuel Mejia, Humberto Jesus Ochoa, Osslan Osiris Vergara, Boris Mederos, vianey guadalupe cruz
IEEE Latin America Transactions, 2017
Denoising of high resolution small animal 3D PET data using the non-subsampled Haar wavelet transform
Humberto de Jesús Ochoa Domínguez, Leticia O. Máynez, Osslan O. Vergara Villegas, Boris Mederos, José M. Mejía, et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2015
Modified set partitioning in hierarchical trees algorithm based on hierarchical subbands
Humberto de J. Ochoa Domínguez, Osslan O. Vergara Villegas, Vianey G. Cruz Sanchez
Journal of Electronic Imaging, 2015
Analysis of discrepancy metrics used in medical image segmentation
Vicente Garcia, Humberto de Jesus Ochoa Dominguez, Boris Mederos
IEEE Latin America Transactions, 2015
Dissimilarity-based learning from imbalanced data with small disjuncts and noise
V. García, J. S. Sánchez, H. J. Ochoa Domínguez, L. Cleofas-Sánchez
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Noise reduction in small-animal PET images using a multiresolution transform
Jose M. Mejia, Humberto de Jesus Ochoa Dominguez, Osslan Osiris Vergara Villegas, Leticia Ortega Maynez, Boris Mederos
IEEE Transactions on Medical Imaging, 2014
Smart multi-level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality
Fernando González, Osslan Villegas, Dulce Ramírez, Vianey Sánchez, Humberto Domínguez
Sensors Switzerland, 2014
The H.264 video coding standard
Humberto De Jesus Ochoa Dominguez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sanchez, Efren David Gutierrez Casas, K. R. Rao
IEEE Potentials, 2014
Automatic product quality inspection using computer vision systems
Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Humberto de Jesús Ochoa-Domínguez, Manuel de Jesús Nandayapa-Alfaro, Ángel Flores-Abad
Lean Manufacturing in the Developing World Methodology Case Studies and Trends from Latin America, 2014
Improved SPIHT algorithm
Humberto de Jesus Ochoa Dominguez, Vianey Guadalupe Cruz Sanchez, Osslan Osiris Vergara Villegas
Proceedings 10th International Conference on Signal Image Technology and Internet Based Systems Sitis 2014, 2014
Noise reduction in PET sinograms using non-local total variation regularization
Jose Mejia, Boris Mederos, Sergio D. Cabrera, Humberto Ochoa Dominguez, Osslan O. Vergara Villegas
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2014
Lung nodule classification in CT thorax images using support vector machines
Hiram Madero Orozco, Osslan Osiris Vergara Villegas, Humberto de Jesus Ochoa Dominguez, Vianey Guadalupe Cruz Sanchez
Proceedings 2013 12th Mexican International Conference on Artificial Intelligence Micai 2013, 2013
Wavelet-based regularization strategies within the 3D list-mode ML-EM reconstruction process, for high resolution small animal PET data
Leticia Ortega Maynez, Humberto de Jesus Ochoa Dominguez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sanchez, Jose Manuel Mejia Munoz
IEEE Nuclear Science Symposium Conference Record, 2013
Hypoechoic nodules detection and classification in trus prostate images using active contours and parabolic zone division
Yohans Alejandro Carmona Montana, Osslan Osiris Vergara Villegas, Humberto de Jesus Ochoa Dominguez, Vianey Guadalupe Cruz Sanchez
Proceedings 2012 9th Electronics Robotics and Automotive Mechanics Conference Cerma 2012, 2012
Lung nodule classification in frequency domain using support vector machines
Hiram Madero Orozco, Osslan Osiris Vergara Villegas, Leticia Ortega Maynez, Vianey Guadalupe Cruz Sanchez, Humberto de Jesus Ochoa Dominguez
2012 11th International Conference on Information Science Signal Processing and their Applications Isspa 2012, 2012
SDCA: System to detect cancerous abnormalities
Ceur Workshop Proceedings, 2011
Wavelet-based regularization and edge preservation for submillimetre 3D list-mode reconstruction data from a high resolution small animal PET system
Humberto de Jesús Ochoa Domínguez, Leticia Ortega Máynez, Osslan Osiris Vergara Villegas, Nelly Gordillo Castillo, Vianey Guadalupe Cruz Sánchez, et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2011
Performance analysis of different PSF shapes for the quad-HIDAC PET submillimetre resolution recovery
Leticia Ortega Máynez, Humberto de Jesús Ochoa Domínguez, Osslan Osiris Vergara Villegas, Nelly Gordillo, Vianey Guadalupe Cruz Sánchez, et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2011
Visual perception substitution by the auditory sense
Brian David Cano Martínez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Leticia Ortega Maynez
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
Do you want to be in fashion? Go hybrid using neurosymbolic systems
Vianey Guadalupe Cruz Sanchez, Osslan Osiris Vergara Villegas, Gerardo Reyes Salgado, Humberto de Jesus Ochoa Dominguez
IEEE Potentials, 2011
Wavelet-based regularisation for background correction within the sub-millimeter 3D MLEM list-mode reconstruction process for high resolution small animal PET data
Leticia Ortega Maynez, Humberto Ochoa Domingiuez, Osslan Vergara Villegas
IEEE Nuclear Science Symposium Conference Record, 2011
SAR image denoising using the non-subsampled contourlet transform and morphological operators
José Manuel Mejía Muñoz, Humberto de Jesús Ochoa Domínguez, Leticia Ortega Máynez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, et al.
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2010
Fingerprint recognition using open algorithms in frequency and spatial domain
Fernando Cornelio Jimenez Gonzalez, Osslan Osiris Vergara Villegas, Vianey Gudalupe Cruz Sanchez, Humberto de Jesus Ochoa Dominguez
Proceedings 2010 IEEE Electronics Robotics and Automotive Mechanics Conference Cerma 2010, 2010
Effects of crystallization and vitrification on sintering properties of bentonite clay
Ceramic Transactions, 2010
Set Partitioning in Hierarchical Frequency Bands (SPHFB)
Data Compression Conference Proceedings, 2009
Background correction strategies for list-mode submillimetre 3D image reconstruction algorithm applied to the high resolution quad-HIDAC pet system
First A. Leticia Ortega Maynez, Second B. Thomas Kosters, Third C. Humberto Ochoa, Fourth D. Frank Wubbeling, Fifth E. Klaus Schafers
IEEE Nuclear Science Symposium Conference Record, 2009
HRV and EEG signal features for computer-aided detection of sleep apnea
E. F. Estrada, H. Nazeran, H. Ochoa
Ifmbe Proceedings, 2009
Characterization of magnetic particles using a wavelet function
Humberto J. Ochoa Domínguez, Perla E. Garcia Casillas, Carlos A. Martínez Pérez, José Trinidad Elizalde Galindo, Hector Camacho Montes, et al.
Advanced Materials Research, 2009
Set partitioning in hierarchical frequency bands (SPHFB)
Humberto Ochoa, Osslan Vergara, Vianey Cruz-Sanchez, Gerardo Rosiles, Javier Vega-Pineda
Proceedings 2009 Data Compression Conference Dcc 2009, 2009
A novel evolutionary face recognition algorithm using particle swarm optimization
Osslan Osiris Vergara Villegas, Mitzel Aviles Quintero, Vianey Guadalupe Cruz Sanchez, Humberto de Jesus Ochoa Dominguez
Proceedings 5th International Conference on Signal Image Technology and Internet Based Systems Sitis 2009, 2009
A hybrid system based on a filter bank and a successive approximations threshold for microcalcifications detection
Humberto Ochoa, Osslan Vergara, Vianey Cruz, Efrén Gútierrez
Journal of Computers, 2009
A comparison of the bandelet, wavelet and contourlet transforms for image denoising
Osslan Osiris Vergara Villegas, Humberto de Jesús Ochoa Domínguez, Vianey Guadalupe Cruz Sánchez
7th Mexican International Conference on Artificial Intelligence Proceedings of the Special Session Micai 2008, 2008
Quality inspection of textile artificial textures using a neuro-symbolic hybrid system methodology
Wseas Transactions on Computers, 2008
Rules and feature extraction for microcalcifications detection in digital mammograms using neuro-symbolic hybrid systems and undecimated filter banks
Wseas Transactions on Signal Processing, 2008
A new modified version of the HDWTSVD coding system for monochromatic images
Wseas Transactions on Systems, 2006
A new modified hybrid DWTSVD coding system for color images
Wseas Transactions on Circuits and Systems, 2005
A modified hybrid DCT-SVD image-coding system
IEEE Region 10 Annual International Conference Proceedings TENCON, 2004
A modified hybrid DCT-SVD image-coding system for color image
IEEE International Symposium on Communications and Information Technologies Iscit 2004, 2004
A hybrid DWT-SVD image-coding system (HDWTSVD) for monochromatic images
Humberto Ochoa, K. R. Rao
Proceedings of SPIE the International Society for Optical Engineering, 2003
A low bit-rate hybrid DWT-SVD image-coding system (HDWTSVD) for monochromatic images
Proceedings IEEE International Symposium on Circuits and Systems, 2003
A modified hybrid DWT-SVD image-coding system (HDWTSVD) for monochromatic images
H. Ochoa, K.R. Rao
Proceedings EC Vip MC 2003 4th Eurasip Conference Focused on Video Image Processing and Multimedia Communications, 2003
A HYBRID DWT-SVD IMAGE-CODING SYSTEM (HDWTSVD)
H. Ochoa, K.R. Rao
Midwest Symposium on Circuits and Systems, 2003

Humberto Ochoa

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Scopus Publications