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emi-dm/README.md

👋 Hi! I'm Emilio Delgado

🧑‍🔬 AI Researcher for Healthcare

I'm a researcher and PhD student at the University of Extremadura, specializing in Machine Learning and Deep Learning applied to healthcare. My work focuses on processing and analyzing large-scale clinical and medical imaging data, aiming to improve quality of life and health outcomes through advanced AI.


🎓 Academic Background

  • PhD in Artificial Intelligence (2023-2026) — University of Extremadura
  • Master’s in Artificial Intelligence (2022-2023) — UNIR (average grade: 9.49)
  • Advanced Course in Data Analyst and Visualization (2022-2023) — UNIR
  • Bachelor’s in Software Engineering (2018-2022) — University of Extremadura

🧠 Research Interests

  • Medical image processing (segmentation, synthetic data generation)
  • Anatomical modeling (currently, cardiac models)
  • Optimization of Deep Learning algorithms for medical applications
  • Privacy and ethics in AI

📚 Selected Publications

  • Prompt Once, Segment Everything: Leveraging SAM 2 Potential for Infinite Medical Image Segmentation with a Single Prompt (2025)
  • No More Training: SAM’s Zero-Shot Transfer Capabilities for Cost-Efficient Medical Image Segmentation (2024)
  • Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID‐19 lung infection segmentation in computed tomography images (2024)

🛠️ Skills

  • Python, R, C, Java, C++, JavaScript, SQL, NoSQL
  • PyTorch, Keras, MLOps, AIOps, Google Cloud, AWS
  • Data analysis, predictive models, NLP, visualization (D3.js, Tableau, PowerBI)
  • Collaborative work, research, statistics

💡 Projects

  • Tricuspid valve modeling
  • Atrial fibrillation modeling

🤝 Volunteering

  • Guest researcher at European Researchers’ Night (generative art with AI)
  • Staff at DevopsDays Cáceres

🎸 Beyond Science

  • Tech explorer and code enthusiast who loves a good vibe
  • Climber and basketball player
  • Guitarist and music lover

🌐 Links

Popular repositories Loading

  1. COVID-CT-Dataset COVID-CT-Dataset Public

    Forked from cjxnew/COVID-CT

    COVID-CT-Dataset: A CT Scan Dataset about COVID-19

    Jupyter Notebook 2

  2. Gen-AI-PGTD Gen-AI-PGTD Public

    Jupyter Notebook 1

  3. Viewers Viewers Public

    Forked from OHIF/Viewers

    OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

    TypeScript

  4. dinov2 dinov2 Public

    Forked from facebookresearch/dinov2

    PyTorch code and models for the DINOv2 self-supervised learning method.

    Jupyter Notebook

  5. LoRA LoRA Public

    Forked from microsoft/LoRA

    Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

    Python

  6. BiomedParse BiomedParse Public

    Forked from microsoft/BiomedParse

    Python