Mario Pascual González
Biomedical Imaging Researcher
University of Málaga
Trying to understand how silicon-based machines can understand the world. Applications to Biomedical Imaging, Graph Representation, and more.
Selected Publications
Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment
Computers in Biology and Medicine, vol. 196, pp. 110697, 2025
Personal Comments
My first scientific publication. Leaving the statistical analysis aside, the code provides an easy tool that is able to integrate the hyperparameter optimization of any YOLO variant using the Optuna framework. You only have to define your trainer at optimization/engine/trainers. The script optimization/engine/hpo.py will catch your trainer class and optimize it with the configuration you defined (see example at optimization/cfg/files/picasso/yaml), where you must write your trainer class in the model_source entry.
Recent Posts
My Craving for Domesticated STEM Knowledge
Reflections on the value of foundational mathematics, the frustrations of AI research, and why I want to pursue a degree in pure math.
Wi-Fi ESP-32 Humidity and Temperature Module
Building a WiFi-connected temperature and humidity monitor with ESP32, DHT11 sensor, and OLED display — a full tutorial from circuit to code.
Personal Comments
Preprint, sent to the IEEE ICIP 2026 conference. The code provides a PyPI package that allows you to easily train your own diffusion model with the SLIM-Diff architecture, which is especially designed for data-scarce 2D MRI synthesis tasks. The paper also provides empirical evidence that the manifold hypothesis holds for pixel-space generation of medical images, a claim that 'One-step Latent-free Image Generation with Pixel Mean Flows' (Yiyang Lu et.al) made, with theoretical grounding.