Dr. Gilberto Ochoa-Ruiz

Home • Projects • Publications • Students • Contact

---

PhD students

Tecnologico de Monterrey (main advisor or co-advisor)

• Mansor Ali Teevno, Robust Surgical Tool Segmentation, Tracking and Depth Perception
  Co-advisor: Sharib Ali, University of Leeds
• Daniel Flores Ariza, Integrating causality in the interpretability of artificial intelligence models applied to medicine [Github]
  Co-advisor; Miguel Gonzalez Mondoza, Tec de Monterrey
• Francisco Javier Lopez Tiro, 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
• Ricardo Abel Espinosa Loera, Endoscopic View Enhancement using Deep Learning-based 3D Reconstruction Techniques
  Co-advisor: Christian Daul, CRAN, Nancy
• Pablo Cesar Ruiz, Gaussian Splatting for Deformable Surgical Scene Reconstruction and instrument tracking
  Co-advisor: Nazim Houachine, Harvard Medical School, USA
• Alexis Iván López Escamilla, Deep learning for motor signal processing
  Co-advisor: Christian Daul, CRAN, Nancy

CINVESTAV Guadalajara (co-advisor)

• Jorge Gonzalez Zapata, GEMINI: Guided Metric Learning
  Main advisor: Andres Mendez-Vazquez, CINVESTAV
• Ivan Reyes Amezcua, [Github]
  Main advisor: Andres Mendez-Vazquez, CINVESTAV

---

Master students

• Helena Velencia, Categorization of pre-cancerous inflammations in colonoscopic images using artificial intelligence models
• Ruben Gonzalez Perez, Generation of Realistic Endoscopic Images to Identify and Classify Kidney Stones
• Cuathemoc Alonso Guerrero Ramirez, Skill Assessment in Minimally Invasive Surgery using Computer Vision for Instance Segmentation
• Carlos
• Obed
• Eduardo Guarduño Martinez, Implementation of optimized segmentation model on edge devices for wildfire spread forecasting
• Javier Cerriteño Magaña, Real time Endoscopic image Enhancement using LMSPEC techniques with added attention blocks
• Jesus Antonio Low Castro: Crowdsensing-based Wildland-Urban Interface Fire Risk Assessment Using Artificial Inteligence and data collected from phones
• Ilse Karena de Anda Garcia, Exploring hyphesis driven decision support systems in the context of endoscopic stome recognition

---

Graduated students

• 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: Research Engineer: Hopital d’Orleans, 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
  

---