Gilberto Ochoa-Ruiz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
4
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CBMS | Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. | Carlos Salazar-Ruiz, Francisco Javier Lpez-Tiro, Ivn Reyes-Amezcua, Clment Larose, Gilberto Ochoa-Ruiz, Christian Daul |
| 2025 | MICCAI | Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy. | Ivn Reyes-Amezcua, Francisco Javier Lpez-Tiro, Clment Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz |
| 2024 | CBMS | A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts. | Ricardo Espinosa, Javier Cerriteo, Saul Gonzalez-Dominguez, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | CBMS | Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. | Ricardo Espinosa, Eluney Hernndez, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | CBMS | On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. | Daniel Flores-Araiza, Armando Villegas-Jimnez, Francisco Javier Lpez-Tiro, Miguel Gonzlez-Mendoza, Rosa-Maria Rodrguez-Guant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | CBMS | GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment. | Ulises Gallardo, Fernando Caro, Eluney Hernndez, Ricardo Espinosa, Gilberto Ochoa-Ruiz |
| 2024 | CBMS | Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. | Ruben Gonzalez-Perez, Francisco Javier Lpez-Tiro, Ivn Reyes-Amezcua, Luis Eduardo Falcn-Morales, Rosa-Maria Rodrguez-Guant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | CBMS | Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. | Daniela Herrera, Francisco Javier Lpez-Tiro, Josep Munuera, Christian Mata, Miguel Gonzlez-Mendoza, Gilberto Ochoa-Ruiz |
| 2024 | CBMS | Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis. | Alexis Lopez, Flor Helena Valencia, Gilberto Ochoa-Ruiz, Sharib Ali |
| 2024 | CBMS | Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. | Mansoor Ali Teevno, Rafael Martinez Garcia Pea, Gilberto Ochoa-Ruiz, Sharib Ali |
| 2024 | CVPR | Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). | Ivn Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez |
| 2024 | MICCAI | EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. | Ivn Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez |
| 2023 | CVPR | Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. | Daniel Flores-Araiza, Francisco Javier Lpez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel Gonzlez-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul |
| 2023 | CVPR | Isolated Sign Language Recognition based on Tree Structure Skeleton Images. | David Laines, Miguel Gonzlez-Mendoza, Gilberto Ochoa-Ruiz, Gissella Bejarano |
| 2023 | CVPR | SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy. | Rafael Martinez Garcia Pea, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali |
| 2023 | MICCAI | 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 Gonzlez-Mendoza, Christian Mata |
| 2023 | MICCAI | 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 |
| 2022 | CVPR | Guided Deep Metric Learning. | Jorge Gonzalez-Zapata, Ivn Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez |
| 2022 | MICCAI | Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection. | Pedro Esteban Chavarrias-Solano, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali |
| 2021 | CVPR | A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. | Cuauhtemoc Daniel Suarez-Ramirez, Miguel Gonzlez-Mendoza, Leonardo Chang, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega |
| 2012 | RSP | 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 |