Bioinformatics BSc · Researcher in Computer Vision, Biomedical Imaging
- 📚 Bioinformatics undergraduate @ UMA, Spain & Research Assistant (Computational Intelligence and Image Analysis lab)
- 🖥️ Focus: Deep Learning Computer Vision applied to Medical Imaging. I work with Angiography Imaging and Multimodal (Neuro) MRI.
- 🛠️ Core stack: Python | PyTorch | SKImage | Scikit-Learn
- 🎓 Goal: PhD in Neurocomputation, Biomedical Imaging-related
- 📖 Other Interests: Mathematics, Probabilistic Machine Learning, Single-Cell Genomics, Fluorescence Imaging, ESP32
| Repo | Summary | Tech | Stars |
|---|---|---|---|
| Hyperparameter Optimization in YOLO | Unifying framework for High-Performance Bayesian and Evolutionary hyperparameter optimization in YOLO-based models for stenosis detection. | Optuna, PyTorch |  |
| FISRG FCD Segmentation | Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in T1 MR Brain Images. | OpenCV, Numpy |  |
| MGA-YOLO | Mask-Guided attention for Stenosis Detection in YOLO models. | PyTorch |  |
| Dyslexia EEG Characterisation | Time-Series EEG Recurrence-quantification analysis for detecting underlying neural adaptation processes in dyslexia. | Scikit-Learn, PyUNICORN |  |
Additional applied & educational work
- Malign tumour prediction from BCW dataset · classical ML → repo
- A* heuristic maze solver → repo
- Histogram-based segmentation utilities → repo
- TC Image Segmentation Analysis with Region Growing and Split & Merge Techniques → repo
- Segmentation of focal cortical dysplasia (FCD) type II lesions using YOLOv8 and PyTorch → repo
- 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]
- 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. En 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
- M. Pascual-González, “Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images”, 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}
}