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MarioPasc/README.md

Mario Pascual González

Bioinformatics BSc


Research Profile

I am a Bioinformatics undergraduate student at the University of Málaga (UMA), Spain, and an Undergrate Research Fellow at the Computational Intelligence and Image Analysis laboratory. My research focuses on the application of deep learning and computer vision methodologies to medical imaging analysis.

Technical Expertise: Python, PyTorch, Scikit-Image, Scikit-Learn

Academic Objectives: Pursuing doctoral studies in Neurocomputation and Biomedical Imaging.

Additional Research Interests: Mathematical foundations of machine learning, probabilistic machine learning, diffusion models.

Research Projects

Primary Research

Project Description Technologies
Hyperparameter Optimization in YOLO Comprehensive framework implementing Bayesian and evolutionary hyperparameter optimization strategies for YOLO-based object detection models applied to coronary stenosis identification in angiographic imagery. Published in Computers in Biology and Medicine. Optuna, PyTorch
MGA-YOLO Novel attention mechanism leveraging mask-guided features to enhance stenosis detection accuracy in YOLO architectures for invasive coronary angiography analysis. PyTorch
Dyslexia EEG Characterisation Application of recurrence quantification analysis (RQA) to electroencephalographic time-series data for characterizing neural adaptation mechanisms underlying dyslexia pathophysiology. Scikit-Learn, PyUNICORN
Additional Research and Educational Projects
  • Breast Cancer Wisconsin Dataset Analysis: Machine learning approaches for malignant tumor prediction using classical algorithms → repository
  • A Pathfinding Algorithm*: Implementation of heuristic-based maze solving using A* search algorithm → repository
  • Histogram-Based Image Segmentation: Utilities for biomedical image segmentation using histogram analysis techniques → repository
  • Region Growing and Split-Merge Segmentation: Analysis of CT imaging using region-based segmentation algorithms → repository
  • Focal Cortical Dysplasia Segmentation: Deep learning-based segmentation of FCD type II lesions in epilepsy imaging using YOLOv8 → repository
  • Fuzzy Information Seeded Region Growing: Automated lesion segmentation in post-stroke MR brain images using fuzzy logic-based region growing → repository

Publications

  1. M. Pascual-González, A. Jiménez-Partinen, E. J. Palomo, E. López-Rubio, and A. Ortega-Gómez, "Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment," Computers in Biology and Medicine, vol. 196, p. 110697, 2025, doi: 10.1016/j.compbiomed.2025.110697. [paper] [code]
  2. M. Pascual-González, E. López-Rubio, F. Sendra-Portero, & A. Pérez-Lara (2025). "Optimizando el preprocesamiento de la imagen por resonancia magnética: estimación ciega de ruido con campos aleatorios gaussianos." In F. Sendra Portero, D. Domínguez Pinos, T. Rudolphi Solero, L. de la Peña Fernández, & M. J. Ruiz Gómez (Eds.), III Congreso Nacional de Estudiantes de Radiología y Medicina Física (pp. 5–6). Asociación de Profesores Universitarios de Radiología y Medicina Física (APURF). ISBN 978-1-300-31039-6. Universidad de Málaga. [paper]
  3. M. Pascual-González, "Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images," arXiv preprint arXiv:2311.11742, 2023. [paper] [code]
Show BibTeX
@article{PASCUALGONZALEZ2025110697,
title = {Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment},
journal = {Computers in Biology and Medicine},
volume = {196},
pages = {110697},
year = {2025},
issn = {0010-4825},
doi = {https://doi.org/10.1016/j.compbiomed.2025.110697},
url = {https://www.sciencedirect.com/science/article/pii/S0010482525010480},
author = {Mario Pascual-González and Ariadna Jiménez-Partinen and Esteban J. Palomo and Ezequiel López-Rubio and Almudena Ortega-Gómez}
@inproceedings{PascualGonzalez2025,
  author    = {Mario Pascual González and Ezequiel López Rubio and Francisco Sendra Portero and Almudena Pérez Lara},
  title     = {Optimizando el Preprocesamiento de la Imagen por Resonancia Magnética: Estimación Ciega de Ruido con Campos Aleatorios Gaussianos},
  booktitle = {III Congreso Nacional de Estudiantes de Radiología y Medicina Física},
  editor    = {Francisco Sendra Portero and Dolores Domínguez Pinos and Teodoro Rudolphi Solero and Lourdes de la Peña Fernández and Miguel José Ruiz Gómez},
  year      = {2025},
  pages     = {5--6},
  publisher = {Asociación de Profesores Universitarios de Radiología y Medicina Física (APURF)},
  address   = {Málaga, España},
  isbn      = {978-1-300-31039-6},
  organization = {Universidad de Málaga}
}
@article{gonzalez2023fuzzy,
  title={Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images},
  author={Gonz{\'a}lez, Mario Pascual},
  journal={arXiv preprint arXiv:2311.11742},
  year={2023}
}

Pinned Loading

  1. bioinformatics-algorithms bioinformatics-algorithms Public

    C++ implementation of several algorithms used in bioinformatics. Might use other languages.

    C++ 2

  2. N-Body-Simulation-Python N-Body-Simulation-Python Public

    N-Body simulation using Python.

    Python 2

  3. medsyn medsyn Public

    Medical Image Synthesis project (MedSyn). In-depth evaluation of the efffects of different synthesis models (i.e., CFG ccDDPM) for medical image synthesis for class balancing on image datasets (i.e…

    Python 2

  4. FTD_Systems_Biology FTD_Systems_Biology Public

    Forked from seoanezonjic/project_template

    Python 1

  5. CA-MTL-YOLOv8 CA-MTL-YOLOv8 Public

    Multi-Task Learning with Cross Attention for YOLOv8

    Python

  6. Coronary_Angiography_Detection Coronary_Angiography_Detection Public

    Stenosis detection in Invasive Coronariography Angiography imaging

    Python 2