Mario Pascual Gonzalez
Bioinformatics BSc, Research Intern @ ICAI, UMA
Research Profile
Bioinformatics undergraduate student at the University of Malaga (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, MONAI, PyTorch-Lightning, Scikit-Image, Scikit-Learn
Academic Objectives: Pursuing doctoral studies in Artificial Intelligence, ideally, applied to Biomedical Imaging with a focus on Diffusion approaches and representation learning.
Additional Research Interests: Mathematical foundations of machine learning, probabilistic machine learning, diffusion models.
Research Projects
Primary Research
| Project | Description | Technologies |
|---|---|---|
| Shared Latent Image-Mask Diffusion | A compact joint diffusion model for synthesizing paired FLAIR MRI slices and lesion masks in low-data epilepsy imaging scenarios. | PyTorch, MONAI-Generative |
| 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
- Pascual-Gonzalez, M., Jimenez-Partinen, A., Luque-Baena, R. M., Nagib-Raya, F., & Lopez-Rubio, E. (2026). SLIM-Diff: Shared Latent Image-Mask Diffusion with Lp loss for Data-Scarce Epilepsy FLAIR MRI. arXiv preprint arXiv:2602.03372. [paper] [code] [zenodo] [pypi]
- M. Pascual-Gonzalez, A. Jimenez-Partinen, E. J. Palomo, E. Lopez-Rubio, and A. Ortega-Gomez, "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-Gonzalez, E. Lopez-Rubio, F. Sendra-Portero, & A. Perez-Lara (2025). "Optimizando el preprocesamiento de la imagen por resonancia magnetica: estimacion ciega de ruido con campos aleatorios gaussianos." In F. Sendra Portero, D. Dominguez Pinos, T. Rudolphi Solero, L. de la Pena Fernandez, & M. J. Ruiz Gomez (Eds.), III Congreso Nacional de Estudiantes de Radiologia y Medicina Fisica (pp. 5-6). Asociacion de Profesores Universitarios de Radiologia y Medicina Fisica (APURF). ISBN 978-1-300-31039-6. Universidad de Malaga. [paper]
- M. Pascual-Gonzalez, "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
@misc{pascualgonzalez2026slimdiffsharedlatentimagemask,
title={SLIM-Diff: Shared Latent Image-Mask Diffusion with Lp loss for Data-Scarce Epilepsy FLAIR MRI},
author={Mario Pascual-Gonzalez and Ariadna Jimenez-Partinen and R. M. Luque-Baena and Fatima Nagib-Raya and Ezequiel Lopez-Rubio},
year={2026},
eprint={2602.03372},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2602.03372},
}
title={SLIM-Diff: Shared Latent Image-Mask Diffusion with Lp loss for Data-Scarce Epilepsy FLAIR MRI},
author={Mario Pascual-Gonzalez and Ariadna Jimenez-Partinen and R. M. Luque-Baena and Fatima Nagib-Raya and Ezequiel Lopez-Rubio},
year={2026},
eprint={2602.03372},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2602.03372},
}
@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-Gonzalez and Ariadna Jimenez-Partinen and Esteban J. Palomo and Ezequiel Lopez-Rubio and Almudena Ortega-Gomez}
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-Gonzalez and Ariadna Jimenez-Partinen and Esteban J. Palomo and Ezequiel Lopez-Rubio and Almudena Ortega-Gomez}
@inproceedings{PascualGonzalez2025,
author = {Mario Pascual Gonzalez and Ezequiel Lopez Rubio and Francisco Sendra Portero and Almudena Perez Lara},
title = {Optimizando el Preprocesamiento de la Imagen por Resonancia Magnetica: Estimacion Ciega de Ruido con Campos Aleatorios Gaussianos},
booktitle = {III Congreso Nacional de Estudiantes de Radiologia y Medicina Fisica},
editor = {Francisco Sendra Portero and Dolores Dominguez Pinos and Teodoro Rudolphi Solero and Lourdes de la Pena Fernandez and Miguel Jose Ruiz Gomez},
year = {2025},
pages = {5--6},
publisher = {Asociacion de Profesores Universitarios de Radiologia y Medicina Fisica (APURF)},
address = {Malaga, Espana},
isbn = {978-1-300-31039-6},
organization = {Universidad de Malaga}
}
author = {Mario Pascual Gonzalez and Ezequiel Lopez Rubio and Francisco Sendra Portero and Almudena Perez Lara},
title = {Optimizando el Preprocesamiento de la Imagen por Resonancia Magnetica: Estimacion Ciega de Ruido con Campos Aleatorios Gaussianos},
booktitle = {III Congreso Nacional de Estudiantes de Radiologia y Medicina Fisica},
editor = {Francisco Sendra Portero and Dolores Dominguez Pinos and Teodoro Rudolphi Solero and Lourdes de la Pena Fernandez and Miguel Jose Ruiz Gomez},
year = {2025},
pages = {5--6},
publisher = {Asociacion de Profesores Universitarios de Radiologia y Medicina Fisica (APURF)},
address = {Malaga, Espana},
isbn = {978-1-300-31039-6},
organization = {Universidad de Malaga}
}
@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}
}
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}
}