Contact

• Location: Cáceres, Spain
• Email: edm@unex.es
• LinkedIn: emilio-delgado-muñoz
• ORCID: 0000-0002-9144-0698
• Web: i3lab.unex.es/people

Summary

I am a passionate and dedicated researcher with a strong focus on Deep Learning techniques applied to medical imaging. My expertise spans data analysis, artificial intelligence, and software engineering, with a deep commitment to continuously expanding my knowledge in these fields. As a researcher at the I3 Lab, University of Extremadura, I specialize in advancing medical image segmentation, aiming to enhance diagnostic accuracy and healthcare outcomes.

Core Competencies

• Analytical Thinking
• Research and Innovation
• Technical Proficiency
• Data Management
• Problem-Solving
• Communication Skills
• Team Collaboration
• Project Management
• Adaptability
• Critical Thinking
• Self-Motivation
• Lifelong Learning

Outstanding Achievements

• Prize for the Best Master’s Thesis in Artificial Intelligence
  SopraSteria Awards at Congress Digital Potential, 2024.
  Thesis: “Loss functions in Deep Learning: Boosting the accuracy of segmentation of lung infections caused by COVID-19”.
• Speaker at Trier University PhD Week
  Presented on Self-Supervised Learning in Medical Imaging and its integration in radiotherapy workflows.

Research Experience

Predoctoral Researcher, i3Lab, University of Extremadura, Cáceres
2022 ~ Present

• Advanced research on deep learning techniques for medical imaging, focused on image segmentation.
• Managed and processed large medical imaging datasets to improve diagnostic accuracy through AI models.
• Authored research papers.
• Collaborated with interdisciplinary teams, including clinicians and software developers, to apply AI solutions in healthcare.
• Utilized Python, PyTorch, TensorFlow, MONAI, and Keras for data analysis and model development.

Professional Experience

Frontend Developer, Astrata Europe B.V., Eindhoven
Jan 2022 – Apr 2022

• Developed responsive web applications using React.js for the transportation industry.
• Collaborated with designers and backend developers to implement user-friendly interfaces.
• Implemented custom UI components, layouts, and ensured code quality through automated testing.
• Participated in feature planning, code reviews, and sprint meetings.

Publications

• No More Training: SAM’s Zero-Shot Transfer Capabilities for Cost-Efficient Medical Image Segmentation – DOI: 10.1109/ACCESS.2024.3353142
• Advancing Precision in Medical Image Segmentation: A Performance Analysis of Loss Functions for COVID-19 Lung Infection Segmentation in Computed Tomographies Images – DOI: 10.1049/ipr2.13232
• Prompt Once, Segment Everything: Leveraging SAM 2 Potential for Infinite Medical Image Segmentation with a Single Prompt – i3lab.unex.es/publication/gutierrez-25

Education

• PhD in Artificial Intelligence and Medical Imaging
  University of Extremadura
  Expected Completion: 2026
• Master’s Degree in Artificial Intelligence
  Universidad Internacional de la Rioja (UNIR), 2022 – 2023
  Grade: 9.49/10
• Advanced University Course in Data Analysis
  Universidad Internacional de la Rioja (UNIR), 2022 – 2023
  Grade: 8.5/10
• Bachelor’s Degree in Software Engineering
  University of Extremadura, 2018 – 2022
  Grade: 8.3/10

Technical Skills

• Programming Languages: Python, Java, JavaScript, C++
• Deep Learning Frameworks: PyTorch, Pytorch Lightning, Tensorflow, Keras
• Medical Imaging Tools: OHIF, 3DSlicer, MONAI
• Data Analysis and Visualization: Pandas, Numpy, Matplotlib, Tableau, PowerBI

Languages

• Spanish: Native
• English: Intermediate (B1)