Dr. Gilberto Ochoa-Ruiz

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PhD students

Tecnologico de Monterrey (main advisor or co-advisor)

• Jesus Antonio Low Castro, A novel multi-modal framework for intra-operarative endoscopic kidney stone recognition and report generation
  Co-advisor: Christian Daul, CRAN, Nancy

• Alejandro Claros
  Thesis Title Intraoperative anterior segment structures and instrument position estimation during 3D Cataract Surgery
  Advisor: Miguel Gonzalez
  

• Maria Camila Castaño Martínez
  Thesis Title Novel computer vision models for computer aided cataract surgery using 3D microcoscopes
  Co-advisor: Miguel Gonzalez
  

• Diego Iván Heredia Camacho
  Thesis Title Explainable AI-assisted method for Polycystic Ovary Syndrome assessment and prognosis
  Advisor: Salvador Miguel Hinojosa Cervantes
  

• Francisco Javier Lopez Tiro
  Thesis Title Automatic real-time identification of kidney stones and their composition from ureteroscopic images using deep learning and computer vision techniques [Github]
  Co-advisor: Christian Daul, CRAN, Nancy

• Alexis Iván López Escamilla
  Thesis Title Lightweight Transformers for Generative Medical Virtual Assistant Systems
  Co-advisor: N/A
  

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Graduated students

PhD students

CTecnologico de Monterrey (advisor)

• Mansor Ali Teevno
  Thesis Title Robust Surgical Tool Segmentation, Tracking and Depth Perception
  Co-advisor: Sharib Ali, University of Leeds
  Current Position: Postdoc: Advanced Materials Research Centre, ITESM
  
• Daniel Flores Ariza
  Thesis Title Integrating causality in the interpretability of artificial intelligence models applied to medicine
  Co-advisor; Miguel Gonzalez Mondoza, Tec de Monterrey
  Current Position: Research Engineer
  
• Ricardo Abel Espinosa Loera
  Thesis Title Endoscopic View Enhancement using Deep Learning-based 3D Reconstruction Techniques
  Co-advisor: Christian Daul, CRAN, Nancy
  Current Position: Researcher/Professor Universidad Panamericana
  

CINVESTAV Guadalajara (co-advisor)

• Jorge Gonzalez Zapata, GEMINI: Guided Metric Learning
  Main advisor: Andres Mendez-Vazquez, CINVESTAV
• Ivan Reyes Amezcua, Federated Learning and Robustness in Computer Vision Systems Using Deep Learning
  Main advisor: Andres Mendez-Vazquez, CINVESTAV

Masster students

• Helena Velencia
  Thesis Title Categorization of pre-cancerous inflammations in colonoscopic images using artificial intelligence models
  
• Ruben Gonzalez Perez
  Thesis Title Generation of Realistic Endoscopic Images to Identify and Classify Kidney Stones
  Thesis Title Cuathemoc Alonso Guerrero Ramirez, Skill Assessment in Minimally Invasive Surgery using Computer Vision for Instance Segmentation
  
• Carlos
  Thesis Title
• Eduardo Guarduño Martinez,
  Thesis Title Implementation of optimized segmentation model on edge devices for wildfire spread forecasting
  
• Javier Cerriteño Magaña
  Thesis Title Real time Endoscopic image Enhancement using LMSPEC techniques with added attention blocks
  
• Jesus Antonio Low Castro
  Thesis Title Crowdsensing-based Wildland-Urban Interface Fire Risk Assessment Using Artificial Inteligence and data collected from phones
  
• Ilse Karena de Anda Garcia
  Thesis Title Exploring hyphesis driven decision support systems in the context of endoscopic stome recognition
  
• Elias Villalvazo Avila
  Thesis Title Improved Kidney Stone Recognition Through Attention and Feature Fusion Strategies
  
• David Alberto Laines Vazquez
  Theis Title Sign Language Recognition with Tree Structure Skeleton Images and Densely Connected CNNs n
  
• Pablo Cesar Quihui Rubio
  Thesis Title: Automatic Detection and Segmentation of Prostate Cancer Using Deep Learning Techniques
  
• Rafael Martinez Garcia-Peña
  Thesis title: Lights, Camera, and Domain Shift: Using Superpixels for Domain Generalization in Image Segmentation for Multimodal Endoscopies
  
• Daniela Herrera Montes de Oca
  Thesis Title: Automatic segmentation and classification of vascular pattern symmetries on cerebral vessels using DL
  Current Position: PhD University of Twente, France
  
• Pedro Esteban Chavarrias Solano
  Thesis Title: Automatic Categorization of Gastro-Intestinal Inflammations using Deep Learning
  Current Position: Phd: University of Leeds
  
• Carlos Axel Garcia Vega
  Thesis title: Deep Learning Lightinhg Enhancement for Endoscopic Computer Integrated Surgery
  
• Jorge Francisco Ciprian Sanchez
  Thesis Title: Deep Learning model for early wildfire detection through the fusion of visible and infrared information Github Current Position: Phd: Hasso Platner Institute, University of Postdam
• Carmina Perez Guerrero
  Thesis Title Characterization of Jet Fire Flame Temperature Zones Using a DeepLearning-based Segmentation Approach Github Current Position: * Research Engineer: [EugenIA]* (https://www.eugenia.tech/es/inicio/)
  
• Juan Carlos Angeles Ceron
  Thesis Title: Attention YOLACT++: Achieving robust and real-time medicalinstrument segmentation in endoscopic procedures
  Current Position: Research Engineer, Microsoft
  
• Mauricio Mendez Ruiz
  Thesis title: Model Extensions for Semantic Segmentation using Few-Shot Learning Approach
  Current Position: * Research Engineer: [EugenIA]* (https://www.eugenia.tech/es/inicio/)
  
• Oscar Hinojosa
  Thesis title: Automated classification method for ureteroscopic kidney stone images using machine learning [Github]
  Current Position: Amazon
  

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