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2020 – today
- 2025
[e3]Lourdes Martínez-Villaseñor
, Gilberto Ochoa-Ruiz:
Advances in Computational Intelligence - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15246, Springer 2025, ISBN 978-3-031-75539-2 [contents]- [e2]Lourdes Martínez-Villaseñor, Gilberto Ochoa-Ruiz:
Advances in Soft Computing - 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, Tonantzintla, Mexico, October 21-25, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15247, Springer 2025, ISBN 978-3-031-75542-2 [contents] - 2024
- [j18]Francisco Javier Lopez-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul:
On the In Vivo Recognition of Kidney Stones Using Machine Learning. IEEE Access 12: 10736-10759 (2024) - [j17]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): 107275 (2024) - [j16]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: 124711 (2024) - [c59]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: 1-8 - [c58]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: 43-50 - [c57]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: 61-68 - [c56]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: 81-88 - [c55]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: 126-133 - [c54]Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul:
Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. CBMS 2024: 376-382 - [c53]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: 383-390 - [c52]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: 467-472 - [c51]Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). CVPR Workshops 2024: 274-283 - [c50]Jorge Gerardo Iglesias-Ortiz, Adrián Isaí Morales-Paredes, Jesús Antonio Low-Castro Miguel González-Mendoza, Gilberto Ochoa-Ruiz:
A ConvLSTM Approach for the WorldClim Dataset in Mexico. MICAI (1) 2024: 54-67 - [c49]Jesus Dassaef López-Barrios, Ilse Karena de Anda-García, Raul Jimenez-Cruz, Luis A. Trejo, Gilberto Ochoa-Ruiz, Miguel González-Mendoza:
Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam. MICAI (1) 2024: 101-120 - [c48]Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul:
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. MICAI (2) 2024: 168-181 - [c47]Carlos Aparicio, Cuauhtémoc Guerrero, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++. MICAI (1) 2024: 222-235 - [c46]Jesus Antonio Low-Castro, Nima Shirzad-Ghaleroudkhani, Maziar Jamshidi, Oliver Matthias Probst-Oleszewski, Gerardo Rodriguez-Hernandez, Mustafa Gül, Gilberto Ochoa-Ruiz:
Smartphone-Based Fuel Identification Model for Wildfire Risk Assessment Using YOLOv8. MICAI (1) 2024: 236-247 - [c45]Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. DEMI@MICCAI 2024: 84-94 - [c44]Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Tackling Domain Generalization for Out-of-Distribution Endoscopic Imaging. MLMI@MICCAI (2) 2024: 43-52 - [e1]Gilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucía Prieto Santamaría, Bridget Kane, Christian Daul, Gildardo Sánchez-Ante, Alejandro Rodríguez González:
37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024. IEEE 2024, ISBN 979-8-3503-8472-7 [contents] - [i43]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. CoRR abs/2409.12450 (2024) - [i42]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. CoRR abs/2409.12883 (2024) - [i41]Ruben Gonzalez-Perez, Francisco Javier Lopez-Tiro, Iván Reyes-Amezcua, Eduardo Falcon-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. CoRR abs/2409.13409 (2024) - [i40]Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. CoRR abs/2409.19930 (2024) - [i39]Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul:
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. CoRR abs/2409.19934 (2024) - [i38]Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Tackling domain generalization for out-of-distribution endoscopic imaging. CoRR abs/2410.14821 (2024) - 2023
- [j15]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): 1033-1041 (2023) - [j14]Jorge Francisco Ciprián-Sánchez, Valente 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) - [j13]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): 18201-18213 (2023) - [c43]David Laines, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Gissella Bejarano:
Isolated Sign Language Recognition based on Tree Structure Skeleton Images. CVPR Workshops 2023: 276-284 - [c42]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: 285-294 - [c41]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: 295-304 - [c40]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: 4167-4174 - [c39]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: 1-5 - [c38]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: 1-5 - [c37]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: 131-141 - [c36]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: 165-176 - [c35]Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Valente 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: 213-226 - [c34]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: 40-51 - [c33]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: 83-93 - [i37]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 abs/2304.03171 (2023) - [i36]Francisco Javier 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 abs/2304.03193 (2023) - [i35]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. CoRR abs/2304.04077 (2023) - [i34]David Laines, Gissella Bejarano, Miguel González-Mendoza, Gilberto Ochoa-Ruiz:
Isolated Sign Language Recognition based on Tree Structure Skeleton Images. CoRR abs/2304.05403 (2023) - [i33]Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier 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 abs/2305.09062 (2023) - [i32]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 abs/2307.07046 (2023) - [i31]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 abs/2308.04653 (2023) - [i30]Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Gerardo Valente, 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 abs/2309.01318 (2023) - [i29]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 abs/2309.01322 (2023) - [i28]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 abs/2309.01921 (2023) - 2022
- [j12]Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz, Raul Benitez:
MedicalSeg: A Medical GUI Application for Image Segmentation Management. Algorithms 15(6): 200 (2022) - [j11]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. Medical Image Anal. 81: 102569 (2022) - [c32]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: 1480-1488 - [c31]Carlos Vilchis, Miguel González-Mendoza, Leonardo Chang, Sergio A. Navarro-Tuch, Gilberto Ochoa Ruiz, Isaac Rudomín:
A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI. VISIGRAPP (2: HUCAPP) 2022: 154-162 - [c30]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: 26-37 - [c29]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: 52-65 - [c28]Mauricio Mendez-Ruiz, Francisco Javier 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: 249-263 - [c27]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: 267-281 - [c26]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: 282-296 - [c25]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: 327-338 - [c24]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: 67-76 - [i27]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 abs/2201.07931 (2022) - [i26]Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, 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 abs/2201.08865 (2022) - [i25]Mauricio Mendez-Ruiz, Francisco Javier 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 abs/2205.00895 (2022) - [i24]Elias Villalvazo-Avila, Francisco Javier 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 abs/2206.00069 (2022) - [i23]Daniel Flores-Araiza, Francisco Javier 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 abs/2206.00252 (2022) - [i22]Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation. CoRR abs/2206.00536 (2022) - [i21]Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Guided Deep Metric Learning. CoRR abs/2206.02029 (2022) - [i20]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 abs/2206.02110 (2022) - [i19]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 abs/2206.07580 (2022) - [i18]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 abs/2207.02396 (2022) - [i17]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 abs/2207.04010 (2022) - [i16]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 abs/2207.09483 (2022) - [i15]Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
Knowledge distillation with a class-aware loss for endoscopic disease detection. CoRR abs/2207.09530 (2022) - [i14]Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. CoRR abs/2208.09926 (2022) - [i13]Mansoor Ali, Rafael Martinez Garcia Peña, Gilberto Ochoa Ruiz, Sharib Ali:
A comprehensive survey on recent deep learning-based methods applied to surgical data. CoRR abs/2209.01435 (2022) - [i12]Francisco Javier 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 abs/2210.13654 (2022) - [i11]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 abs/2210.15033 (2022) - [i10]Elias Villalvazo-Avila, Francisco Javier 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 abs/2211.02967 (2022) - [i9]Rafael Martinez Garcia Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. CoRR abs/2211.04658 (2022) - 2021
- [j10]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: 87219-87240 (2021) - [c23]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: 1273-1281 - [c22]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. EMBC 2021: 1824-1827 - [c21]Francisco Javier Lopez-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul:
Assessing deep learning methods for the identification of kidney stones in endoscopic images. EMBC 2021: 2778-2781 - [c20]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: 131-142 - [c19]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: 161-172 - [i8]Jorge Francisco 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 abs/2101.11745 (2021) - [i7]Francisco Javier Lopez-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul:
Assessing deep learning methods for the identification of kidney stones in endoscopic images. CoRR abs/2103.01146 (2021) - [i6]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 abs/2103.15997 (2021) - [i5]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 abs/2104.05124 (2021) - [i4]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 abs/2107.03461 (2021) - [i3]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 abs/2107.06992 (2021) - [i2]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 abs/2111.04911 (2021) - 2020
- [c18]Humberto Garcia, Alberto Ochoa-Zezzatti, Abraham Martínez-Retamoza, Gilberto Ochoa, Lina Aguilar, Diego Oliva, José Mejía:
Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields. AICV 2020: 381-392 - [c17]Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa:
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. EMBC 2020: 1936-1939 - [c16]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: 242-250 - [d1]Gilberto Ochoa Ruiz, Andres Alonso Angulo Murillo:
Road Surface Damages. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j9]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): 41-53 (2019) - [c15]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: 104-111 - [c14]Edgar Mosqueda Cárdenas, José P. de la Rosa Gutiérrez, Lina Maria Aguilar-Lobo, Gilberto Ochoa Ruiz:
Automatic Detection and Classification of Hearing Loss Conditions Using an Artificial Neural Network Approach. MCPR 2019: 227-237 - [c13]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: 3-14 - [i1]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 abs/1909.08991 (2019) - 2018
- [j8]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: 1-19 (2018) - [j7]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: 20-40 (2018) - 2017
- [j6]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: 3298734:1-3298734:20 (2017) - [c12]Luis Alberto Pineda Cortés, José Martínez-Carranza, Gilberto Ochoa Ruiz, Slavko Milekic, Efraín Alcorta-García, Emilio Bucio Carrillo, Alejandro Herrera, Ramon Reyes, Miguel Camacho:
Plenary talks [6 abstracts]. CONIELECOMP 2017: 1-8 - [c11]Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz:
Run-Time Scalable NoC for FPGA Based Virtualized IPs. MCSoC 2017: 91-97 - 2016
- [c10]Hiliwi Leake Kidane, El-Bay Bourennane, Gilberto Ochoa-Ruiz:
NoC Based Virtualized Accelerators for Cloud Computing. MCSoC 2016: 133-137 - 2015
- [j5]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): 8:1-8:25 (2015) - [c9]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: 1-8 - 2014
- [c8]Marco A. Gómez, Sabine Mondié, Gilberto Ochoa:
Necessary exponential stability conditions for scalar periodic time-delay systems. CCE 2014: 1-5 - 2013
- [b1]Gilberto Ochoa Ruiz:
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). University of Burgundy, Dijon, France, 2013 - [j4]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): 358-372 (2013) - [j3]Gilberto Ochoa, Vladimir L. Kharitonov, Sabine Mondié:
Critical frequencies and parameters for linear delay systems: A Lyapunov matrix approach. Syst. Control. Lett. 62(9): 781-790 (2013) - 2012
- [j2]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): 93-128 (2012) - [c7]Gilberto Ochoa, Ouassila Labbani, El-Bay Bourennane, Philippe Soulard:
Model-Driven Approach for Automatic Dynamic Partially Reconfigurable IP Customization. IPDPS Workshops 2012: 407-412 - [c6]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: 1-8 - [c5]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: 107-113 - [c4]Gilberto Ochoa, Sabine Mondié, Daniel Alejandro Melchor-Aguilar:
Critical Parameters of Integral Systems with a Class of Analytic Kernels. TDS 2012: 248-253 - 2011
- [j1]Sabine Mondié, Gilberto Ochoa, Blanca M. Ochoa:
Instability conditions for linear time delay systems: a Lyapunov matrix function approach. Int. J. Control 84(10): 1601-1611 (2011) - [c3]Gilberto Ochoa, El-Bay Bourennane, Hassan Rabah, Ouassila Labbani:
High-level modelling and automatic generation of dynamicaly reconfigurable systems. DASIP 2011: 332-339 - [c2]Gilberto Ochoa, El-Bay Bourennane, Ouassila Labbani, Kamel Messaoudi:
IP-XACT and marte based approach for partially reconfigurable systems-on-chip. FDL 2011: 1-8
2000 – 2009
- 2008
- [c1]Gilberto Ochoa, Sabine Mondié:
Instability conditions for neutral type time delay systems. CDC 2008: 5286-5291
Coauthor Index
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