Sergio López-Huguet

ORCID: 0000-0002-6523-6108
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Scientific Computing and Data Management
  • Cloud Computing and Resource Management
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced X-ray and CT Imaging
  • Blockchain Technology Applications and Security
  • Advanced Mathematical Modeling in Engineering
  • Computational Physics and Python Applications
  • Brain Tumor Detection and Classification
  • Digital Radiography and Breast Imaging
  • Meteorological Phenomena and Simulations
  • AI in cancer detection
  • Quantum chaos and dynamical systems
  • Artificial Intelligence in Healthcare and Education
  • Rheology and Fluid Dynamics Studies
  • Elasticity and Material Modeling
  • Engineering Applied Research
  • Distributed and Parallel Computing Systems
  • Copper Interconnects and Reliability

Universitat Politècnica de València
2019-2023

Instituto de Instrumentación para Imagen Molecular
2019-2023

The increased accuracy and exhaustivity of modern Artificial Intelligence techniques in supporting the analysis complex data, such as medical images, have exponentially real-world data collection for research purposes. This fact has led to development international repositories high-performance computing solutions deal with computational demand training models. However, other stages imaging biomarkers do not require intensive resources, which convenience integrating different backends...

10.1016/j.future.2022.09.019 article EN cc-by Future Generation Computer Systems 2022-09-22

Abstract The determination of Lagrangian Coherent Structures (LCS) is becoming very important in several disciplines, including cardiovascular engineering, aerodynamics, and geophysical fluid dynamics. From the computational point view, extraction LCS consists two main steps: flowmap computation resolution Finite Time Lyapunov Exponents (FTLE). In this work, we focus on design, implementation, parallelization FTLE resolution. We offer an in-depth analysis procedure, as well open source C...

10.1007/s11227-022-05017-x article EN cc-by The Journal of Supercomputing 2023-01-19
Coming Soon ...