Publications

Also on Google Scholar and ORCID.

Citations 18 · h-index 2 · i10-index 1 (Google Scholar, 26 Oct 2026)

Journal articles

1. J1
   Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment
   M. Pascual-González, A. Jiménez-Partinen, E. J. Palomo, E. López-Rubio, A. Ortega-Gómez
   Computers in Biology and Medicine, vol. 196, art. 110697, 2025.

   DOI code

   BibTeX

   @article{pascualgonzalez2025hyperparameter,
     title   = {Hyperparameter optimization of {YOLO} models for invasive coronary angiography lesion detection and assessment},
     author  = {Pascual-Gonz{\'a}lez, Mario and Jim{\'e}nez-Partinen, Ariadna and Palomo, Esteban J. and L{\'o}pez-Rubio, Ezequiel and Ortega-G{\'o}mez, Almudena},
     journal = {Computers in Biology and Medicine},
     volume  = {196},
     pages   = {110697},
     year    = {2025},
     doi     = {10.1016/j.compbiomed.2025.110697}
   }

Manuscripts under review

1. R1
   Representation of directed acyclic graphs by sequences of instructions for symbolic regression
   E. López-Rubio, M. Pascual-González
   IEEE Transactions on Pattern Analysis and Machine Intelligence, under review, minor revision, 2026.
   Preprint: Instruction Set and Language for Symbolic Regression (IsalSR).

   arXiv code

   BibTeX

   @misc{lopezrubio2026isalsr,
     title         = {Instruction Set and Language for Symbolic Regression},
     author        = {L{\'o}pez-Rubio, Ezequiel and Pascual-Gonz{\'a}lez, Mario},
     year          = {2026},
     eprint        = {2603.21836},
     archivePrefix = {arXiv}
   }

2. R2
   Representation of graphs by sequences of instructions
   E. López-Rubio, M. Pascual-González
   Pattern Recognition, under review, revised version after major revision, 2026.
   Preprint: Instruction set for the representation of graphs (IsalGraph).

   arXiv code

   BibTeX

   @misc{lopezrubio2026isalgraph,
     title         = {Instruction set for the representation of graphs},
     author        = {L{\'o}pez-Rubio, Ezequiel and Pascual-Gonz{\'a}lez, Mario},
     year          = {2026},
     eprint        = {2603.11039},
     archivePrefix = {arXiv}
   }

Preprints

1. P1
   Instruction set and language for hypergraphs
   M. Pascual-González, E. López-Rubio
   arXiv preprint arXiv:2607.10194, 2026.

   arXiv code

   BibTeX

   @misc{pascualgonzalez2026isalhg,
     title         = {Instruction Set and Language for Hypergraphs},
     author        = {Pascual-Gonz{\'a}lez, Mario and L{\'o}pez-Rubio, Ezequiel},
     year          = {2026},
     eprint        = {2607.10194},
     archivePrefix = {arXiv}
   }

2. P2
   SLIM-Diff: shared latent image-mask diffusion with Lp loss for data-scarce epilepsy FLAIR MRI
   M. Pascual-González, A. Jiménez-Partinen, R. M. Luque-Baena, F. Nagib-Raya, E. López-Rubio
   arXiv preprint arXiv:2602.03372, 2026.

   arXiv code PyPI Zenodo

   BibTeX

   @misc{pascualgonzalez2026slimdiff,
     title         = {{SLIM-Diff}: Shared Latent Image-Mask Diffusion with {Lp} loss for Data-Scarce Epilepsy {FLAIR} {MRI}},
     author        = {Pascual-Gonz{\'a}lez, Mario and Jim{\'e}nez-Partinen, Ariadna and Luque-Baena, Rafael Marcos and Nagib-Raya, F{\'a}tima and L{\'o}pez-Rubio, Ezequiel},
     year          = {2026},
     eprint        = {2602.03372},
     archivePrefix = {arXiv}
   }

3. P3
   Fuzzy information seeded region growing for automated lesions after stroke segmentation in MR brain images
   M. Pascual-González
   arXiv preprint arXiv:2311.11742, 2023.

   arXiv code

Conference proceedings

1. C1
   Automatic screening of invasive coronary angiography images using Swin Transformer
   J.-J. Rus-Muñoz, A. Jiménez-Partinen, M. Pascual-González, E. J. Palomo, J. Rodríguez-Capitán
   11th International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC 2026), pp. 32–42, Springer, 2026.

   DOI
2. C2
   YOLO-MSLesSeg: automated multiple sclerosis lesion segmentation in MRI with image enhancement techniques
   A. Jiménez-Partinen, S. Rozenblum, M. Pascual-González*, M. P. Ordóñez-Walkowiak, V. Guirado-Osorio, M. A. Molina-Cabello
   21st International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2026), pp. 574–585, Springer, 2026.
   * Corresponding author.

   DOI

Communications at clinical congresses

Methodological work presented at Spanish radiology congresses (in Spanish).

1. C3
   Are deep neural networks ready to replace gadolinium in glioma MRI?
   M. Pascual-González, A. Jiménez-Partinen, R. M. Luque-Baena, E. López-Rubio, A. Pérez-Lara, F. Nagib-Raya, F. Sendra-Portero, B. Asenjo-García
   54th Annual Meeting of the Spanish Society of Neuroradiology (SENR), Málaga, oral communication, 2026.
   Best Oral Communication Award, Diagnostic Neuroradiology.
2. C4
   PaCS-SR: patch-wise convex combination of experts for 3D super-resolution of magnetic resonance images under clinical anisotropy
   M. Pascual-González, A. Jiménez-Partinen, E. J. Palomo, R. M. Luque-Baena, E. López-Rubio, F. Sendra-Portero, A. Pérez-Lara, B. Asenjo-García
   38th National Congress of the Spanish Society of Medical Radiology (SERAM), Valencia, oral communication, 2026.
   Accésit (runner-up prize) for oral communication; Cum Laude distinction for electronic communication.

   code
3. C5
   Optimising magnetic resonance image preprocessing: blind noise estimation with Gaussian random fields
   M. Pascual-González, E. López-Rubio, F. Sendra-Portero, A. Pérez-Lara
   3rd National Congress of Radiology and Physical Medicine Students (APURF), University of Málaga, pp. 5–6, ISBN 978-1-300-31039-6, 2025.

   proceedings (PDF)