Gilberto Ochoa-Ruiz

128 papers B 10C 1Journal 67Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy.
CoRR
Noha Ghatwary, Jiangbei Yue, Ahmed Elgendy, Hanna Nagdy, Ahmed Galal, Hayam Fathy, Hussein El-Amin, Venkataraman Subramanian, Noor Mohammed, Gilberto Ochoa-Ruiz, Sharib Ali
2026 — ed.
Advances in Computational Intelligence. MICAI 2025 International Workshops - HIS 2025, CIAPP 2025, WILE 2025, CHARAL 2025, ECSI 2025 Workshops, Guanajuato, Mexico, November 3-7, 2025, Proceedings, Part I
MICAI (Workshops, 1)
Lourdes Martínez-Villaseñor, Roberto Antonio Vázquez, Gilberto Ochoa-Ruiz, Martín Montes Rivera, Saúl Zapotecas Martínez, María Lucía Barrón-Estrada, Efrén Mezura Montes, Arturo Gomez Chavez
2026 — ed.
Advances in Computational Intelligence. MICAI 2025 International Workshops - HIS 2025, CIAPP 2025, WILE 2025, CHARAL 2025, ECSI 2025 Workshops, Guanajuato, Mexico, November 3-7, 2025, Proceedings, Part II
MICAI (Workshops, 2)
Lourdes Martínez-Villaseñor, Roberto Antonio Vázquez, Gilberto Ochoa-Ruiz, Martín Montes Rivera, Saúl Zapotecas Martínez, María Lucía Barrón-Estrada, Efrén Mezura-Montes, Arturo Gomez Chavez
2026 — ed.
Advances in Soft Computing - 24th Mexican International Conference on Artificial Intelligence, MICAI 2025, Guanajuato, Mexico, November 3, 2025, Proceedings, Part I
MICAI (1)
Lourdes Martínez-Villaseñor, Roberto Antonio Vázquez, Gilberto Ochoa-Ruiz
2026 — ed.
Advances in Soft Computing - 24th Mexican International Conference on Artificial Intelligence, MICAI 2025, Guanajuato, Mexico, November 3, 2025, Proceedings, Part II
MICAI (2)"
Lourdes Martínez-Villaseñor, Roberto Antonio Vázquez, Gilberto Ochoa-Ruiz
2026 J jnl
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2026 J jnl
Magnetic resonance image enhancement and segmentation using conventional and deep learning denoising techniques for dynamic cerebral angiography.
Health Inf. Sci. Syst.
Daniela Herrera, Gilberto Ochoa-Ruiz, Christian Stephan-Otto, Miguel González-Mendoza, Josep Munuera, Christian Mata
2025 — ed.
Advances in Computational Intelligence - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I
MICAI (1)
Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz
2025 — ed.
Advances in Computational Intelligence. MICAI 2024 International Workshops - HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I
MICAI (Workshops 1)
Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz, Martín Montes Rivera, María Lucía Barrón-Estrada, Héctor-Gabriel Acosta-Mesa
2025 — ed.
Advances in Computational Intelligence. MICAI 2024 International Workshops - HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II
MICAI (Workshops 2)
Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz, Martín Montes Rivera, María Lucía Barrón-Estrada, Héctor-Gabriel Acosta-Mesa
2025 — ed.
Advances in Soft Computing - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II
MICAI (2)
Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz
2025 — conf
Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding.
MIUA (2)
Martin Villagrana, Francisco Javier López-Tiro, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Assessing the generalization performance of SAM for ureteroscopy scene understanding.
CoRR
Martin Villagrana, Francisco Javier López-Tiro, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning".
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 B conf
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CBMS
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CoRR
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition.
Artif. Intell. Medicine
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 — conf
PolypDINO: Adapting DINOv2 for Domain Generalized Polyp Segmentation.
MIUA (3)
Mansoor Ali Teevno, Raneem Toman, Gilberto Ochoa-Ruiz, Sharib Ali
2025 — conf
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy.
DEMI@MICCAI
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 J jnl
RobustSurg: Tackling domain generalisation for out-of-distribution surgical scene segmentation.
CoRR
Mansoor Ali, Maksim Richards, Gilberto Ochoa-Ruiz, Sharib Ali
2025 — conf
Terrain Classification-Based Dynamic Trajectory Tracking Controller for Mobile Robots.
MICAI (1)
Fernanda Govea, Héctor Ríos, Gilberto Ochoa-Ruiz
2025 — conf
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
MICAI (2)"
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2024 B ed.
37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024
CBMS
Gilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucía Prieto Santamaría, Bridget Kane, Christian Daul, Gildardo Sánchez-Ante, Alejandro Rodríguez González
2024 — conf
A ConvLSTM Approach for the WorldClim Dataset in Mexico.
MICAI (1)
Jorge Gerardo Iglesias-Ortiz, Adrián Isaí Morales-Paredes, Jesús Antonio Low-Castro Miguel González-Mendoza, Gilberto Ochoa-Ruiz
2024 B conf
A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts.
CBMS
Ricardo Espinosa, Javier Cerriteño, Saul Gonzalez-Dominguez, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
A metric learning approach for endoscopic kidney stone identification.
Expert Syst. Appl.
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez
2024 B conf
Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer.
CBMS
Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach.
Eng. Appl. Artif. Intell.
Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez
2024 B conf
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency.
CBMS
Mansoor Ali Teevno, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali
2024 J jnl
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency.
CoRR
Mansoor Ali Teevno, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali
2024 — conf
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
DEMI@MICCAI
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
CoRR
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 — conf
Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA).
CVPR Workshops
Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
Evaluación causal de características en base a explicaciones de clasificadores profundos de imágenes médicas: Un estudio de caso sobre imágenes de cálculos renales ex-vivo.
Res. Comput. Sci.
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 B conf
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CBMS
Ruben Gonzalez-Perez, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Luis Eduardo Falcón-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CoRR
Ruben Gonzalez-Perez, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Eduardo Falcon-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
2024 — conf
Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++.
MICAI (1)
Carlos Aparicio, Cuauhtémoc Guerrero, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2024 B conf
GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment.
CBMS
Ulises Gallardo, Fernando Caro, Eluney Hernández, Ricardo Espinosa, Gilberto Ochoa-Ruiz
2024 B conf
Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques.
CBMS
Daniela Herrera, Francisco Javier López-Tiro, Josep Munuera, Christian Mata, Miguel González-Mendoza, Gilberto Ochoa-Ruiz
2024 J jnl
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
LLAMA Assisted Nutritional Recipe Suggestions: Integrating the Dietary Quality Index for Health Conscious Cooking.
Res. Comput. Sci.
Diego Estrada-Beltrán, Miguel González-Mendoza, Raúl Monroy Borja, Gilberto Ochoa-Ruiz, Janet Gutiérrez-Uribe, Astrid Domínguez-Uscanga
2024 — conf
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
MICAI (2)
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2024 J jnl
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
CoRR
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2024 B conf
Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis.
CBMS
Alexis Lopez, Flor Helena Valencia, Gilberto Ochoa-Ruiz, Sharib Ali
2024 B conf
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations.
CBMS
Daniel Flores-Araiza, Armando Villegas-Jiménez, Francisco Javier López-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2024 — conf
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam.
MICAI (1)
Jesus Dassaef López-Barrios, Ilse Karena de Anda-García, Raúl Jiménez-Cruz, Luis A. Trejo, Gilberto Ochoa-Ruiz, Miguel González-Mendoza
2024 — conf
Smartphone-Based Fuel Identification Model for Wildfire Risk Assessment Using YOLOv8.
MICAI (1)
Jesus Antonio Low-Castro, Nima Shirzad-Ghaleroudkhani, Maziar Jamshidi, Oliver Matthias Probst-Oleszewski, Gerardo Rodriguez-Hernandez, Mustafa Gül, Gilberto Ochoa-Ruiz
2024 — conf
Tackling Domain Generalization for Out-of-Distribution Endoscopic Imaging.
MLMI@MICCAI (2)
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2024 J jnl
Tackling domain generalization for out-of-distribution endoscopic imaging.
CoRR
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2023 J jnl
A metric learning approach for endoscopic kidney stone identification.
CoRR
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
A semi-supervised Teacher-Student framework for surgical tool detection and localization.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2023 — conf
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery.
MICAI (1)
Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Valente Vazquez-Garcia, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Adriana Palacios, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz
2023 J jnl
An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery.
Computación y Sistemas (CyS)
Jorge Francisco Ciprián-Sánchez, Valente Vazquez-Garcia, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz
2023 J jnl
An FPGA smart camera implementation of segmentation models for drone wildfire imagery.
CoRR
Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Gerardo Valente, Valente Vazquez-Garcia, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz
2023 — conf
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores.
CaPTion@MICCAI
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
2023 J jnl
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores.
CoRR
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
2023 — conf
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
MICAI (2)
Francisco Javier López-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.
CoRR
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CVPR Workshops
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction.
CoRR
Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
2023 — conf
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation.
MICAI (2)
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
2023 J jnl
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation.
CoRR
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
2023 J jnl
FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery.
Neural Comput. Appl.
Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi
2023 — conf
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis.
CaPTion@MICCAI
Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali
2023 — conf
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
ISBI
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning.
ICCV (Workshops)
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.
CoRR
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Isolated Sign Language Recognition based on Tree Structure Skeleton Images.
CVPR Workshops
David Laines, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Gissella Bejarano
2023 J jnl
Isolated Sign Language Recognition based on Tree Structure Skeleton Images.
CoRR
David Laines, Gissella Bejarano, Miguel González-Mendoza, Gilberto Ochoa-Ruiz
2023 — conf
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging.
ISBI
Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
2023 — conf
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy.
CVPR Workshops
Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2023 J jnl
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
Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier López-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2022 — conf
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models.
MICAI (1)
Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Falcón-Morales, Dominique Lamarque, Christian Daul
2022 J jnl
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models.
CoRR
Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Eduardo Falcón-Morales, Dominique Lamarque, Christian Daul
2022 J jnl
A semi-supervised Teacher-Student framework for surgical tool detection and localization.
CoRR
Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2022 J jnl
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
CoRR
Francisco Javier López-Tiro, Juan Pablo Betancur-Rengifo, Arturo J. Ruiz-Sanchez, Iván Reyes-Amezcua, Jonathan El Beze, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
2022 J jnl
Comparing feature fusion strategies for Deep Learning-based kidney stone identification.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul
2022 — conf
Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures.
MICAI (1)
Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Christian Mata
2022 J jnl
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures.
CoRR
Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Gerardo Rodriguez-Hernandez, Christian Mata
2022 J jnl
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach.
CoRR
Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez
2022 J jnl
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams.
CoRR
Pedro Esteban Chavarrias-Solano, Carlos Axel Garcia-Vega, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Thomas Bazin, Dominique Lamarque, Christian Daul
2022 J jnl
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods.
CoRR
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel González-Mendoza, Luis Eduardo Falcón-Morales
2022 — conf
Guided Deep Metric Learning.
CVPR Workshops
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2022 J jnl
Guided Deep Metric Learning.
CoRR
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2022 — conf
Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation.
MICAI (1)
Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Stephan-Otto, Christian Mata
2022 J jnl
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation.
CoRR
Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
2022 J jnl
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2022 — conf
Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques.
MICAI (1)
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2022 J jnl
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2022 — conf
Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection.
CaPTion@MICCAI
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2022 J jnl
Knowledge distillation with a class-aware loss for endoscopic disease detection.
CoRR
Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2022 — conf
MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
MICAI (1)
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2022 J jnl
MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
CoRR
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2022 J jnl
MedicalSeg: A Medical GUI Application for Image Segmentation Management.
Algorithms
Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz, Raul Benitez
2022 J jnl
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging.
CoRR
Axel Garcia-Vega, Ricardo Espinosa, Luis Ramirez-Guzman, Thomas Bazin, Luis Falcón-Morales, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
2022 — conf
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
MICAI (1)
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the in vivo recognition of kidney stones using machine learning.
CoRR
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
2022 J jnl
Path Planning Method for Navigation and Exploration with Drones using the 3D-RRT Algorithm.
Res. Comput. Sci.
Camilo Espinosa-Martinez, Lina Maria Aguilar-Lobo, Oscar J. Suarez, Gilberto Ochoa-Ruiz, Ulises Davalos-Guzman, Fabián Castaño, Alberto Ochoa-Zezzatti
2022 J jnl
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy.
CoRR
Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
2021 — conf
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks.
CVPR Workshops
Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega
2021 J jnl
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks.
CoRR
Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang-Fernandez, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega
2021 J jnl
A Novel Defocused Image Segmentation Method Based on PCNN and LBP.
IEEE Access
Sadia Basar, Mushtaq Ali, Gilberto Ochoa-Ruiz, Abdul Waheed, Gerardo Rodriguez-Hernandez, Mahdi Zareei
2021 J jnl
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures.
CoRR
Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali
2021 J jnl
Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery.
CoRR
Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi
2021 J jnl
Comparing ML based Segmentation Models on Jet Fire Radiation Zone.
CoRR
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales
2021 — conf
Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones.
MICAI (1)
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales
2021 — conf
Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction.
MICAI (1)
Mauricio Mendez-Ruiz, Iván García, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2021 J jnl
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction.
CoRR
Mauricio Mendez-Ruiz, Iván García, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2021 J jnl
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion.
CoRR
Juan Carlos Angeles Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali
2020 — conf
Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation.
MCPR
Cecilia Irene Loeza Mejía, Roshan Biswal Rajesh, Eduardo Rodriguez-Tello, Gilberto Ochoa-Ruiz
2019 J jnl
Clasificación de enfermedades del tórax usando aprendizaje profundo y aumento de datos de calidad en el conjunto de datos ChestX-ray8.
Res. Comput. Sci.
Amhed A. Ortiz-Preciado, Juan Antonio Vega Fernández, Gilberto Ochoa-Ruiz
2019 — conf
IoT-based panel for real time traffic data monitoring in Smart Cities: A case study in the Guadalajara Metropolitan Zone.
CONIELECOMP
Carlos Jose Maria Casillas Mora, Gilberto Ochoa-Ruiz, Lina Maria Aguilar-Lobo
2019 — conf
Road Damage Detection Acquisition System Based on Deep Neural Networks for Physical Asset Management.
MICAI
Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz
2019 J jnl
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management.
CoRR
Andres A. Angulo, Juan Antonio Vega Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, Gilberto Ochoa-Ruiz
2018 J jnl
A modeling front-end for seamless design and generation of context-aware Dynamically Reconfigurable Systems-on-Chip.
J. Parallel Distributed Comput.
Gilberto Ochoa-Ruiz, Pamela Wattebled, Maamar Touiza, Florent de Lamotte, El-Bay Bourennane, Samy Meftali, Jean-Luc Dekeyser, Jean-Philippe Diguet
2018 J jnl
Towards Dynamically Reconfigurable SoCs (DRSoCs) in industrial automation: State of the art, challenges and opportunities.
Microprocess. Microsystems
Gilberto Ochoa-Ruiz, Lina Maria Aguilar-Lobo, Romain Bevan, Florent de Lamotte, Jean-Philippe Diguet
2017 J jnl
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.
Gilberto Ochoa-Ruiz, Romain Bevan, Florent de Lamotte, Jean-Philippe Diguet, Cheng-Cong Bao
2017 — conf
Run-Time Scalable NoC for FPGA Based Virtualized IPs.
MCSoC
Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz
2016 — conf
NoC Based Virtualized Accelerators for Cloud Computing.
MCSoC
Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz
2015 J jnl
An MDE Approach for Rapid Prototyping and Implementation of Dynamic Reconfigurable Systems.
ACM Trans. Design Autom. Electr. Syst.
Gilberto Ochoa-Ruiz, Sébastien Guillet, Florent de Lamotte, Éric Rutten, El-Bay Bourennane, Jean-Philippe Diguet, Guy Gogniat
2015 — conf
Kaolin: A system-level AADL tool for FPGA design reuse, upgrade and migration.
AHS
Dominique Blouin, Gilberto Ochoa-Ruiz, Yvan Eustache, Jean-Philippe Diguet
2013 J jnl
A novel methodology for accelerating bitstream relocation in partially reconfigurable systems.
Microprocess. Microsystems
Maamar Touiza, Gilberto Ochoa-Ruiz, El-Bay Bourennane, Abderrezak Guessoum, Kamel Messaoudi
2012 J jnl
A high-level methodology for automatically generating dynamic partially reconfigurable systems using IP-XACT and the UML MARTE profile.
Des. Autom. Embed. Syst.
Gilberto Ochoa-Ruiz, Ouassila Labbani, El-Bay Bourennane, Philippe Soulard, Sana Cherif
2012 C conf
Enabling partially reconfigurable IP cores parameterisation and integration using MARTE and IP-XACT.
RSP
Gilberto Ochoa-Ruiz, Ouassila Labbani, El-Bay Bourennane, Sana Cherif, Samy Meftali, Jean-Luc Dekeyser
2012 — conf
Facilitating IP deployment in a MARTE-based MDE methodology using IP-XACT: A Xilinx EDK case study.
ReConFig
Gilberto Ochoa-Ruiz, Ouassila Labbani-Narsis, El-Bay Bourennane, Sana Cherif, Samy Meftali, Jean-Luc Dekeyser