Gilberto Ochoa-Ruiz
Orcid: 0000-0002-9896-8727
According to our database1,
Gilberto Ochoa-Ruiz
authored at least 81 papers
between 2008 and 2024.
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Bibliography
2024
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach.
Eng. Appl. Artif. Intell., January, 2024
IEEE Access, 2024
2023
FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery.
Neural Comput. Appl., September, 2023
A semi-supervised Teacher-Student framework for surgical tool detection and localization.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery.
Computación y Sistemas (CyS), 2023
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.
CoRR, 2023
An FPGA smart camera implementation of segmentation models for drone wildfire imagery.
CoRR, 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification.
CoRR, 2023
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.
CoRR, 2023
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction.
CoRR, 2023
Proceedings of the Cancer Prevention Through Early Detection, 2023
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores.
Proceedings of the Cancer Prevention Through Early Detection, 2023
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation.
Proceedings of the Advances in Soft Computing, 2023
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
Proceedings of the Advances in Soft Computing, 2023
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery.
Proceedings of the Advances in Computational Intelligence, 2023
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion.
Medical Image Anal., 2022
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
CoRR, 2022
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
CoRR, 2022
A comprehensive survey on recent deep learning-based methods applied to surgical data.
CoRR, 2022
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams.
CoRR, 2022
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation.
CoRR, 2022
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.
CoRR, 2022
Comparing feature fusion strategies for Deep Learning-based kidney stone identification.
CoRR, 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR, 2022
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods.
CoRR, 2022
Algorithms, 2022
Proceedings of the Cancer Prevention Through Early Detection, 2022
Proceedings of the Advances in Computational Intelligence, 2022
Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures.
Proceedings of the Advances in Computational Intelligence, 2022
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
Proceedings of the Advances in Computational Intelligence, 2022
Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation.
Proceedings of the Advances in Computational Intelligence, 2022
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models.
Proceedings of the Advances in Computational Intelligence, 2022
Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques.
Proceedings of the Advances in Computational Intelligence, 2022
A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR, 2021
Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery.
CoRR, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020
2019
Clasificación de enfermedades del tórax usando aprendizaje profundo y aumento de datos de calidad en el conjunto de datos ChestX-ray8.
Res. Comput. Sci., 2019
Road Damage Detection Acquisition System Based on Deep Neural Networks for Physical Asset Management.
Proceedings of the Advances in Soft Computing, 2019
Automatic Detection and Classification of Hearing Loss Conditions Using an Artificial Neural Network Approach.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019
IoT-based panel for real time traffic data monitoring in Smart Cities: A case study in the Guadalajara Metropolitan Zone.
Proceedings of the International Conference on Electronics, Communications and Computers, 2019
2018
Towards Dynamically Reconfigurable SoCs (DRSoCs) in industrial automation: State of the art, challenges and opportunities.
Microprocess. Microsystems, 2018
A modeling front-end for seamless design and generation of context-aware Dynamically Reconfigurable Systems-on-Chip.
J. Parallel Distributed Comput., 2018
2017
Real-Time Control System for Improved Precision and Throughput in an Ultrafast Carbon Fiber Placement Robot Using a SoC FPGA Extended Processing Platform.
Int. J. Reconfigurable Comput., 2017
Proceedings of the 11th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2017
Proceedings of the 2017 International Conference on Electronics, 2017
2016
Proceedings of the 10th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2016
2015
An MDE Approach for Rapid Prototyping and Implementation of Dynamic Reconfigurable Systems.
ACM Trans. Design Autom. Electr. Syst., 2015
Proceedings of the 2015 NASA/ESA Conference on Adaptive Hardware and Systems, 2015
2014
Proceedings of the 11th International Conference on Electrical Engineering, 2014
2013
A high-level methodology for automatically generating dynamically reconfigurable systems using IP-XACT and the UML MARTE profile. (Méthodologie de conception de haut niveau pour la génération automatique des systèmes dynamiquement reconfigurables en utilisant IP-XACT et le profil UML MARTE).
PhD thesis, 2013
Critical frequencies and parameters for linear delay systems: A Lyapunov matrix approach.
Syst. Control. Lett., 2013
A novel methodology for accelerating bitstream relocation in partially reconfigurable systems.
Microprocess. Microsystems, 2013
2012
A high-level methodology for automatically generating dynamic partially reconfigurable systems using IP-XACT and the UML MARTE profile.
Des. Autom. Embed. Syst., 2012
Proceedings of the 10th IFAC Workshop on Time Delay Systems, 2012
Enabling partially reconfigurable IP cores parameterisation and integration using MARTE and IP-XACT.
Proceedings of the 23rd IEEE International Symposium on Rapid System Prototyping, 2012
Facilitating IP deployment in a MARTE-based MDE methodology using IP-XACT: A Xilinx EDK case study.
Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2012
Model-Driven Approach for Automatic Dynamic Partially Reconfigurable IP Customization.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012
2011
Instability conditions for linear time delay systems: a Lyapunov matrix function approach.
Int. J. Control, 2011
Proceedings of the 2011 Forum on Specification & Design Languages, 2011
Proceedings of the 2011 Conference on Design and Architectures for Signal and Image Processing, 2011
2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008