Instability conditions for neutral type time delay systems. - Gilberto Ochoa; Sabine Mondié (CDC, 2008)

High-level modelling and automatic generation of dynamicaly reconfigurable systems. - Gilberto Ochoa; El-Bay Bourennane; Hassan Rabah; Ouassila Labbani (DASIP, 2011)

IP-XACT and marte based approach for partially reconfigurable systems-on-chip. - Gilberto Ochoa; El-Bay Bourennane; Ouassila Labbani; Kamel Messaoudi (FDL, 2011)

Instability conditions for linear time delay systems: a Lyapunov matrix function approach. - Sabine Mondié; Gilberto Ochoa; Blanca M. Ochoa (Int. J. Control, 2011)

Model-Driven Approach for Automatic Dynamic Partially Reconfigurable IP Customization. - Gilberto Ochoa; Ouassila Labbani; El-Bay Bourennane; Philippe Soulard (IPDPS Workshops, 2012)

Facilitating IP deployment in a MARTE-based MDE methodology using IP-XACT: A Xilinx EDK case study. - Gilberto Ochoa-Ruiz; Ouassila Labbani-Narsis; El-Bay Bourennane; Sana Cherif; Samy Meftali; Jean-Luc Dekeyser (ReConFig, 2012)

Enabling partially reconfigurable IP cores parameterisation and integration using MARTE and IP-XACT. - Gilberto Ochoa-Ruiz; Ouassila Labbani; El-Bay Bourennane; Sana Cherif; Samy Meftali; Jean-Luc Dekeyser (RSP, 2012)

Critical Parameters of Integral Systems with a Class of Analytic Kernels. - Gilberto Ochoa; Sabine Mondié; Daniel Alejandro Melchor-Aguilar (TDS, 2012)

A high-level methodology for automatically generating dynamic partially reconfigurable systems using IP-XACT and the UML MARTE profile. - Gilberto Ochoa-Ruiz; Ouassila Labbani; El-Bay Bourennane; Philippe Soulard; Sana Cherif (Des. Autom. Embed. Syst., 2012)

A novel methodology for accelerating bitstream relocation in partially reconfigurable systems. - Maamar Touiza; Gilberto Ochoa-Ruiz; El-Bay Bourennane; Abderrezak Guessoum; Kamel Messaoudi (Microprocess. Microsystems, 2013)

Critical frequencies and parameters for linear delay systems: A Lyapunov matrix approach. - Gilberto Ochoa; Vladimir L. Kharitonov; Sabine Mondié (Syst. Control. Lett., 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). - Gilberto Ochoa Ruiz (2013)

Necessary exponential stability conditions for scalar periodic time-delay systems. - Marco A. Gómez; Sabine Mondié; Gilberto Ochoa (CCE, 2014)

Kaolin: A system-level AADL tool for FPGA design reuse, upgrade and migration. - Dominique Blouin; Gilberto Ochoa-Ruiz; Yvan Eustache; Jean-Philippe Diguet (AHS, 2015)

An MDE Approach for Rapid Prototyping and Implementation of Dynamic Reconfigurable Systems. - Gilberto Ochoa-Ruiz; Sébastien Guillet; Florent de Lamotte; Éric Rutten; El-Bay Bourennane; Jean-Philippe Diguet; Guy Gogniat (ACM Trans. Design Autom. Electr. Syst., 2015)

NoC Based Virtualized Accelerators for Cloud Computing. - Hiliwi Leake Kidane; El-Bay Bourennane; Gilberto Ochoa-Ruiz (MCSoC, 2016)

Plenary talks [6 abstracts]. - Luis Alberto Pineda Cortés; José Martínez-Carranza; Gilberto Ochoa Ruiz; Slavko Milekic; Efraín Alcorta-García; Emilio Bucio Carrillo; Alejandro Herrera; Ramon Reyes; Miguel Camacho (CONIELECOMP, 2017)

Run-Time Scalable NoC for FPGA Based Virtualized IPs. - Hiliwi Leake Kidane; El-Bay Bourennane; Gilberto Ochoa-Ruiz (MCSoC, 2017)

Real-Time Control System for Improved Precision and Throughput in an Ultrafast Carbon Fiber Placement Robot Using a SoC FPGA Extended Processing Platform. - Gilberto Ochoa-Ruiz; Romain Bevan; Florent de Lamotte; Jean-Philippe Diguet; Cheng-Cong Bao (Int. J. Reconfigurable Comput., 2017)

A modeling front-end for seamless design and generation of context-aware Dynamically Reconfigurable Systems-on-Chip. - Gilberto Ochoa-Ruiz; Pamela Wattebled; Maamar Touiza; Florent de Lamotte; El-Bay Bourennane; Samy Meftali; Jean-Luc Dekeyser; Jean-Philippe Diguet (J. Parallel Distributed Comput., 2018)

Towards Dynamically Reconfigurable SoCs (DRSoCs) in industrial automation: State of the art, challenges and opportunities. - Gilberto Ochoa-Ruiz; Lina Maria Aguilar-Lobo; Romain Bevan; Florent de Lamotte; Jean-Philippe Diguet (Microprocess. Microsystems, 2018)

IoT-based panel for real time traffic data monitoring in Smart Cities: A case study in the Guadalajara Metropolitan Zone. - Carlos Jose Maria Casillas Mora; Gilberto Ochoa-Ruiz; Lina Maria Aguilar-Lobo (CONIELECOMP, 2019)

Automatic Detection and Classification of Hearing Loss Conditions Using an Artificial Neural Network Approach. - Edgar Mosqueda Cárdenas; José P. de la Rosa Gutiérrez; Lina Maria Aguilar-Lobo; Gilberto Ochoa Ruiz (MCPR, 2019)

Road Damage Detection Acquisition System Based on Deep Neural Networks for Physical Asset Management. - Andres A. Angulo; Juan Antonio Vega Fernández; Lina Maria Aguilar-Lobo; Shailendra Natraj; Gilberto Ochoa-Ruiz (MICAI, 2019)

Clasificación de enfermedades del tórax usando aprendizaje profundo y aumento de datos de calidad en el conjunto de datos ChestX-ray8. - Amhed A. Ortiz-Preciado; Juan Antonio Vega Fernández; Gilberto Ochoa-Ruiz (Res. Comput. Sci., 2019)

Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields. - Humberto Garcia; Alberto Ochoa-Zezzatti; Abraham Martínez-Retamoza; Gilberto Ochoa; Lina Aguilar; Diego Oliva; José Mejía 001 (AICV, 2020)

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. - Adriana Martínez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Pascal Eschwege; Vincent Estrade; Lina Aguilar; Christian Daul; Gilberto Ochoa (EMBC, 2020)

Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation. - Cecilia Irene Loeza Mejía; Roshan Biswal Rajesh; Eduardo Rodriguez-Tello; Gilberto Ochoa-Ruiz (MCPR, 2020)

Road Surface Damages. - Gilberto Ochoa Ruiz; Andres Alonso Angulo Murillo (IEEE DataPort, 2020)

A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. - Cuauhtemoc Daniel Suarez-Ramirez; Miguel González-Mendoza 001; Leonardo Chang 001; Gilberto Ochoa-Ruiz; Mario Alberto Duran-Vega (CVPR Workshops, 2021)

Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. - Juan Carlos Angeles Ceron; Leonardo Chang 001; Gilberto Ochoa Ruiz; Sharib Ali (EMBC, 2021)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varelo; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (EMBC, 2021)

Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction. - Mauricio Mendez-Ruiz; Ivan Garcia; Jorge Gonzalez-Zapata; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (MICAI (1), 2021)

Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (MICAI (1), 2021)

A Novel Defocused Image Segmentation Method Based on PCNN and LBP. - Sadia Basar; Mushtaq Ali; Gilberto Ochoa-Ruiz; Abdul Waheed; Gerardo Rodriguez-Hernandez; Mahdi Zareei (IEEE Access, 2021)

Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery. - Jorge Francisco Ciprián-Sánchez; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Lucile Rossi (CoRR, 2021)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varela; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (CoRR, 2021)

Comparing ML based Segmentation Models on Jet Fire Radiation Zone. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (CoRR, 2021)

Guided Deep Metric Learning. - Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Mauricio Mendez-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2022)

A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI. - Carlos Vilchis; Miguel González-Mendoza 001; Leonardo Chang 001; Sergio A. Navarro-Tuch; Gilberto Ochoa Ruiz; Isaac Rudomín (VISIGRAPP (2: HUCAPP), 2022)

Improving Artifact Detection in Endoscopic Video Frames Using Deep Learning Techniques. - Pedro Esteban Chavarrias-Solano; Mansoor Ali Teevno; Gilberto Ochoa-Ruiz; Sharib Ali (MICAI (1), 2022)

A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models. - Carlos Axel Garcia-Vega; Ricardo Espinosa; Gilberto Ochoa-Ruiz; Thomas Bazin; Luis Falcón-Morales; Dominique Lamarque; Christian Daul (MICAI (1), 2022)

Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation. - Daniela Herrera; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Stephan-Otto; Christian Mata (MICAI (1), 2022)

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (MICAI (1), 2022)

Comparison of Automatic Prostate Zones Segmentation Models in MRI Images Using U-net-like Architectures. - Pablo Cesar Quihui-Rubio; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Gerardo Rodriguez-Hernandez; Christian Mata (MICAI (1), 2022)

MACFE: A Meta-learning and Causality Based Feature Engineering Framework. - Iván Reyes-Amezcua; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Eduardo Rodriguez-Tello (MICAI (1), 2022)

Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection. - Pedro Esteban Chavarrias-Solano; Mansoor Ali Teevno; Gilberto Ochoa-Ruiz; Sharib Ali (CaPTion@MICCAI, 2022)

MedicalSeg: A Medical GUI Application for Image Segmentation Management. - Christian Mata; Josep Munuera; Alain Lalande; Gilberto Ochoa-Ruiz; Raul Benitez (Algorithms, 2022)

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. - Carmina Pérez-Guerrero; Adriana Palacios; Gilberto Ochoa-Ruiz; Christian Mata; Joaquim Casal; Miguel González-Mendoza 001; Luis Eduardo Falcón-Morales (CoRR, 2022)

On the in vivo recognition of kidney stones using machine learning. - Gilberto Ochoa-Ruiz; Vincent Estrade; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Dinh Hoan Trinh; Miguel González-Mendoza 001; Pascal Eschwege; Jacques Hubert; Christian Daul (CoRR, 2022)

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Jonathan El Beze; Vincent Estrade; Gilberto Ochoa-Ruiz; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (CoRR, 2022)

Comparing feature fusion strategies for Deep Learning-based kidney stone identification. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Jonathan El Beze; Jacques Hubert; Christian Daul (CoRR, 2022)

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation. - Daniela Herrera; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Mata (CoRR, 2022)

Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams. - Pedro Esteban Chavarrias-Solano; Carlos Axel Garcia-Vega; Francisco Javier López-Tiro; Gilberto Ochoa-Ruiz; Thomas Bazin; Dominique Lamarque; Christian Daul (CoRR, 2022)

A comprehensive survey on recent deep learning-based methods applied to surgical data. - Mansoor Ali; Rafael Martinez Garcia Peña; Gilberto Ochoa Ruiz; Sharib Ali (CoRR, 2022)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - 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 (CoRR, 2022)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion. - Juan Carlos Angeles Ceron; Gilberto Ochoa Ruiz; Leonardo Chang 001; Sharib Ali (Medical Image Anal., 2022)

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CVPR Workshops, 2023)

Isolated Sign Language Recognition based on Tree Structure Skeleton Images. - David Laines; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Gissella Bejarano (CVPR Workshops, 2023)

SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. - Rafael Martinez Garcia Peña; Mansoor Ali Teevno; Gilberto Ochoa-Ruiz; Sharib Ali (CVPR Workshops, 2023)

Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (ICCV (Workshops), 2023)

Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging. - Axel Garcia-Vega; Ricardo Espinosa; Luis Ramirez-Guzman; Thomas Bazin; Luis Falcón-Morales; Gilberto Ochoa-Ruiz; Dominique Lamarque; Christian Daul (ISBI, 2023)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Mariana Rizo; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (ISBI, 2023)

An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery. - Eduardo Guarduño-Martinez; Jorge Francisco Ciprián-Sánchez; Valente Vazquez-Garcia; Miguel González-Mendoza 001; Gerardo Rodriguez-Hernandez; Adriana Palacios; Lucile Rossi-Tisson; Gilberto Ochoa-Ruiz (MICAI (1), 2023)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-Tiro; Daniel Flores-Araiza; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (MICAI (2), 2023)

FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. - Pablo Cesar Quihui-Rubio; Daniel Flores-Araiza; Miguel González-Mendoza 001; Christian Mata; Gilberto Ochoa-Ruiz (MICAI (2), 2023)

Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. - Pablo Cesar Quihui-Rubio; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Mata (CaPTion@MICCAI, 2023)

Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. - Flor Helena Valencia; Daniel Flores-Araiza; Obed Cerda; Venkataraman Subramanian; Thomas de Lange; Gilberto Ochoa-Ruiz; Sharib Ali (CaPTion@MICCAI, 2023)

Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction. - Ricardo Espinosa; Carlos Axel Garcia-Vega; Gilberto Ochoa-Ruiz; Dominique Lamarque; Christian Daul (CoRR, 2023)

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (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. - Mauricio Mendez-Ruiz; Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Francisco Javier López-Tiro; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz (CoRR, 2023)

An FPGA smart camera implementation of segmentation models for drone wildfire imagery. - Eduardo Guarduño-Martinez; Jorge Francisco Ciprián-Sánchez; Gerardo Valente; Valente Vazquez-Garcia; Gerardo Rodriguez-Hernandez; Adriana Palacios-Rosas; Lucile Rossi-Tisson; Gilberto Ochoa-Ruiz (CoRR, 2023)

Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

An FPGA Smart Camera Implementation of Segmentation Models for Drone Wildfire Imagery. - Jorge Francisco Ciprián-Sánchez; Valente Vazquez-Garcia; Miguel González-Mendoza 001; Gerardo Rodriguez-Hernandez; Adriana Palacios-Rosas; Lucile Rossi-Tisson; Gilberto Ochoa-Ruiz (Computación y Sistemas (CyS), 2023)

A semi-supervised Teacher-Student framework for surgical tool detection and localization. - Mansoor Ali Teevno; Gilberto Ochoa-Ruiz; Sharib Ali (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

FIRe-GAN: a novel deep learning-based infrared-visible fusion method for wildfire imagery. - Jorge Francisco Ciprián-Sánchez; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Lucile Rossi (Neural Comput. Appl., 2023)

A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts. - Ricardo Espinosa; Javier Cerriteño; Saul Gonzalez-Dominguez; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. - Ricardo Espinosa; Eluney Hernández; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. - Daniel Flores-Araiza; Armando Villegas-Jiménez; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment. - Ulises Gallardo; Fernando Caro; Eluney Hernández; Ricardo Espinosa; Gilberto Ochoa-Ruiz (CBMS, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - 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 (CBMS, 2024)

Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. - Daniela Herrera; Francisco Javier López-Tiro; Josep Munuera; Christian Mata; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz (CBMS, 2024)

Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis. - Alexis Lopez; Flor Helena Valencia; Gilberto Ochoa-Ruiz; Sharib Ali (CBMS, 2024)

Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. - Mansoor Ali Teevno; Rafael Martinez Garcia Peña; Gilberto Ochoa-Ruiz; Sharib Ali (CBMS, 2024)

Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). - Iván Reyes-Amezcua; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2024)

Exploring Anchor-Free Object Detection Models for Surgical Tool Detection: A Comparative Study of Faster-RCNN, YOLOv4, and CenterNet++. - Carlos Aparicio; Cuauhtémoc Guerrero; Mansoor Ali Teevno; Gilberto Ochoa-Ruiz; Sharib Ali (MICAI (1), 2024)

A ConvLSTM Approach for the WorldClim Dataset in Mexico. - Jorge Gerardo Iglesias-Ortiz; Adrián Isaí Morales-Paredes; Jesús Antonio Low-Castro Miguel González-Mendoza; Gilberto Ochoa-Ruiz (MICAI (1), 2024)

Predicting Water Levels Using Gradient Boosting Regressor and LSTM Models: A Case Study of Lago de Chapala Dam. - Jesus Dassaef López-Barrios; Ilse Karena de Anda-García; Raúl Jiménez-Cruz; Luis A. Trejo; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001 (MICAI (1), 2024)

Smartphone-Based Fuel Identification Model for Wildfire Risk Assessment Using YOLOv8. - Jesus Antonio Low-Castro; Nima Shirzad-Ghaleroudkhani; Maziar Jamshidi; Oliver Matthias Probst-Oleszewski; Gerardo Rodriguez-Hernandez; Mustafa Gül; Gilberto Ochoa-Ruiz (MICAI (1), 2024)

Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. - Iván Reyes-Amezcua; Michael Rojas-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Christian Daul (MICAI (2), 2024)

EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. - Iván Reyes-Amezcua; Ricardo Espinosa; Christian Daul; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (DEMI@MICCAI, 2024)

Tackling Domain Generalization for Out-of-Distribution Endoscopic Imaging. - Mansoor Ali Teevno; Gilberto Ochoa-Ruiz; Sharib Ali (MLMI@MICCAI (2), 2024)

On the In Vivo Recognition of Kidney Stones Using Machine Learning. - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa; Christian Daul (IEEE Access, 2024)

Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Clément Larose; Salvador Hinojosa; Andres Mendez-Vazquez; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - 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 (CoRR, 2024)

A metric learning approach for endoscopic kidney stone identification. - Jorge Gonzalez-Zapata; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Daniel Flores-Araiza; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul; Andres Mendez-Vazquez (Expert Syst. Appl., 2024)

LLAMA Assisted Nutritional Recipe Suggestions: Integrating the Dietary Quality Index for Health Conscious Cooking. - Diego Estrada-Beltrán; Miguel González-Mendoza 001; Raúl Monroy Borja; Gilberto Ochoa-Ruiz; Janet Gutiérrez-Uribe; Astrid Domínguez-Uscanga (Res. Comput. Sci., 2024)

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. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (Res. Comput. Sci., 2024)

Computer vision-based characterization of large-scale jet flames using a synthetic infrared image generation approach. - Carmina Pérez-Guerrero; Jorge Francisco Ciprián-Sánchez; Adriana Palacios; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Vahid Foroughi; Elsa Pastor; Gerardo Rodriguez-Hernandez (Eng. Appl. Artif. Intell., 2024)

Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. - Carlos Salazar-Ruiz; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2025)

PolypDINO: Adapting DINOv2 for Domain Generalized Polyp Segmentation. - Mansoor Ali Teevno; Raneem Toman; Gilberto Ochoa-Ruiz; Sharib Ali (MIUA (3), 2025)

Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding. - Martin Villagrana; Francisco Javier López-Tiro; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (MIUA (2), 2025)

Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning". - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (IEEE Access, 2025)

Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs. - Iván Reyes-Amezcua; Francisco Javier López-Tiro; Clément Larose; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2025)