Gilberto Ochoa-Ruiz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 81

Top Topics

Fusion Strategies

Endoscopic Video

Image Segmentation

Top Venues

Publications

Ricardo Espinosa, Javier Cerriteño, Saul Gonzalez-Dominguez, Gilberto Ochoa-Ruiz, Christian Daul
A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts. CBMS (2024)
Ulises Gallardo, Fernando Caro, Eluney Hernández, Ricardo Espinosa, Gilberto Ochoa-Ruiz
GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment. CBMS (2024)
Mansoor Ali Teevno, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. CBMS (2024)
Daniela Herrera, Francisco Javier Lopez-Tiro, Josep Munuera, Christian Mata, Miguel González-Mendoza, Gilberto Ochoa-Ruiz
Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. CBMS (2024)
Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Ruben Gonzalez-Perez, Francisco Javier Lopez-Tiro, Iván Reyes-Amezcua, Luis Eduardo Falcón-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. CBMS (2024)
Jorge Gonzalez-Zapata, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez
A metric learning approach for endoscopic kidney stone identification. Expert Syst. Appl. 255 (2024)
Alexis Lopez, Flor Helena Valencia, Gilberto Ochoa-Ruiz, Sharib Ali
Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis. CBMS (2024)
Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul
Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. CBMS (2024)
Daniel Flores-Araiza, Armando Villegas-Jimenez, Francisco Javier Lopez-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. CBMS (2024)
Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CVPR Workshops (2023)
Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CVPR Workshops (2023)
Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. CaPTion@MICCAI (2023)
Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. ISBI (2023)
Jorge Gonzalez-Zapata, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
A metric learning approach for endoscopic kidney stone identification. CoRR (2023)
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. CaPTion@MICCAI (2023)
Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Gerardo Valente, Vazquez-Garcia, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz
An FPGA smart camera implementation of segmentation models for drone wildfire imagery. CoRR (2023)
Armando Villegas-Jimenez, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Christian Daul
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. CoRR (2023)
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. CoRR (2023)
Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi
FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery. Neural Comput. Appl. 35 (25) (2023)
Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. ICCV (Workshops) (2023)
Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Lopez-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
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)
David Laines, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Gissella Bejarano
Isolated Sign Language Recognition based on Tree Structure Skeleton Images. CVPR Workshops (2023)
Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. ISBI (2023)
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. MICAI (2) (2023)
Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Vazquez-Garcia, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Adriana Palacios, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery. MICAI (1) (2023)
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
A semi-supervised Teacher-Student framework for surgical tool detection and localization. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction. CoRR (2023)
David Laines, Gissella Bejarano, Miguel González-Mendoza, Gilberto Ochoa-Ruiz
Isolated Sign Language Recognition based on Tree Structure Skeleton Images. CoRR (2023)
Francisco Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. CoRR (2023)
Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. MICAI (2) (2023)
Jorge Francisco Ciprián-Sánchez, Vazquez-Garcia, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery. Computación y Sistemas (CyS) 27 (4) (2023)
Daniel Flores-Araiza, Francisco Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CoRR (2023)
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores. CoRR (2023)
Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Stephan-Otto, Christian Mata
Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation. MICAI (1) (2022)
Pedro Esteban Chavarrias-Solano, Carlos Axel Garcia-Vega, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Thomas Bazin, Dominique Lamarque, Christian Daul
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams. CoRR (2022)
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
A semi-supervised Teacher-Student framework for surgical tool detection and localization. CoRR (2022)
Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation. CoRR (2022)
Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Christian Mata
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures. CoRR (2022)
Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Falcón-Morales, Dominique Lamarque, Christian Daul
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models. MICAI (1) (2022)
Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. CoRR (2022)
Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz, Raul Benitez
MedicalSeg: A Medical GUI Application for Image Segmentation Management. Algorithms 15 (6) (2022)
Francisco Lopez-Tiro, Juan Pablo Betancur-Rengifo, Arturo J. Ruiz-Sanchez, Iván Reyes-Amezcua, Jonathan El Beze, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. CoRR (2022)
Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. MICAI (1) (2022)
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. MICAI (1) (2022)
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. CoRR (2022)
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel González-Mendoza, Luis Eduardo Falcón-Morales
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. CoRR (2022)
Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach. CoRR (2022)
Daniel Flores-Araiza, Francisco Lopez-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. CoRR (2022)
Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Christian Mata
Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures. MICAI (1) (2022)
Elias Villalvazo-Avila, Francisco Lopez-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul
Comparing feature fusion strategies for Deep Learning-based kidney stone identification. CoRR (2022)
Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Eduardo Falcón-Morales, Dominique Lamarque, Christian Daul
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models. CoRR (2022)
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Lopez, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
On the in vivo recognition of kidney stones using machine learning. CoRR (2022)
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Guided Deep Metric Learning. CoRR (2022)
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
Knowledge distillation with a class-aware loss for endoscopic disease detection. CoRR (2022)
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques. MICAI (1) (2022)
Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CoRR (2022)
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection. CaPTion@MICCAI (2022)
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Guided Deep Metric Learning. CVPR Workshops (2022)
Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. CoRR (2022)
Elias Villalvazo-Avila, Francisco Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. CoRR (2022)
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales
Comparing ML based Segmentation Models on Jet Fire Radiation Zone. CoRR (2021)
J. F. Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi
Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery. CoRR (2021)
Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. CoRR (2021)
Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang-Fernandez, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. CoRR (2021)
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales
Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones. MICAI (1) (2021)
Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. CVPR Workshops (2021)
Juan Carlos Angeles Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion. CoRR (2021)
Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction. MICAI (1) (2021)
Sadia Basar, Mushtaq Ali, Gilberto Ochoa-Ruiz, Abdul Waheed, Gerardo Rodriguez-Hernandez, Mahdi Zareei
A Novel Defocused Image Segmentation Method Based on PCNN and LBP. IEEE Access 9 (2021)
Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction. CoRR (2021)
Cecilia Irene Loeza Mejía, Roshan Biswal Rajesh, Eduardo Rodriguez-Tello, Gilberto Ochoa-Ruiz
Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation. MCPR (2020)
Amhed A. Ortiz-Preciado, Juan Antonio Vega Fernández, Gilberto Ochoa-Ruiz
Clasificación de enfermedades del tórax usando aprendizaje profundo y aumento de datos de calidad en el conjunto de datos ChestX-ray8. Res. Comput. Sci. 148 (8) (2019)
Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz
Road Damage Detection Acquisition System Based on Deep Neural Networks for Physical Asset Management. MICAI (2019)
Carlos Jose Maria Casillas Mora, Gilberto Ochoa-Ruiz, Lina Maria Aguilar-Lobo
IoT-based panel for real time traffic data monitoring in Smart Cities: A case study in the Guadalajara Metropolitan Zone. CONIELECOMP (2019)
Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management. CoRR (2019)
Gilberto Ochoa-Ruiz, Lina Maria Aguilar-Lobo, Romain Bevan, Florent de Lamotte, Jean-Philippe Diguet
Towards Dynamically Reconfigurable SoCs (DRSoCs) in industrial automation: State of the art, challenges and opportunities. Microprocess. Microsystems 62 (2018)
Gilberto Ochoa-Ruiz, Pamela Wattebled, Maamar Touiza, Florent de Lamotte, El-Bay Bourennane, Samy Meftali, Jean-Luc Dekeyser, Jean-Philippe Diguet
A modeling front-end for seamless design and generation of context-aware Dynamically Reconfigurable Systems-on-Chip. J. Parallel Distributed Comput. 112 (2018)
Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz
Run-Time Scalable NoC for FPGA Based Virtualized IPs. MCSoC (2017)
Gilberto Ochoa-Ruiz, Romain Bevan, Florent de Lamotte, Jean-Philippe Diguet, Cheng-Cong Bao
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 (2017)
Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz
NoC Based Virtualized Accelerators for Cloud Computing. MCSoC (2016)
Gilberto Ochoa-Ruiz, Sébastien Guillet, Florent de Lamotte, Éric Rutten, El-Bay Bourennane, Jean-Philippe Diguet, Guy Gogniat
An MDE Approach for Rapid Prototyping and Implementation of Dynamic Reconfigurable Systems. ACM Trans. Design Autom. Electr. Syst. 21 (1) (2015)
Dominique Blouin, Gilberto Ochoa-Ruiz, Yvan Eustache, Jean-Philippe Diguet
Kaolin: A system-level AADL tool for FPGA design reuse, upgrade and migration. AHS (2015)
Maamar Touiza, Gilberto Ochoa-Ruiz, El-Bay Bourennane, Abderrezak Guessoum, Kamel Messaoudi
A novel methodology for accelerating bitstream relocation in partially reconfigurable systems. Microprocess. Microsystems 37 (3) (2013)
Gilberto Ochoa-Ruiz, Ouassila Labbani, El-Bay Bourennane, Sana Cherif, Samy Meftali, Jean-Luc Dekeyser
Enabling partially reconfigurable IP cores parameterisation and integration using MARTE and IP-XACT. RSP (2012)
Gilberto Ochoa-Ruiz, Ouassila Labbani-Narsis, El-Bay Bourennane, Sana Cherif, Samy Meftali, Jean-Luc Dekeyser
Facilitating IP deployment in a MARTE-based MDE methodology using IP-XACT: A Xilinx EDK case study. ReConFig (2012)
Gilberto Ochoa-Ruiz, Ouassila Labbani, El-Bay Bourennane, Philippe Soulard, Sana Cherif
A high-level methodology for automatically generating dynamic partially reconfigurable systems using IP-XACT and the UML MARTE profile. Des. Autom. Embed. Syst. 16 (3) (2012)