Ramírez Díaz, Iván ivan.ramirez@urjc.es

Publications

Bayesian capsule networks for 3D human pose estimation from single 2D images

  • Ramirez, Ivan
  • Cuesta-Infante, Alfredo
  • Schiavi, Emanuele
  • Jose Pantrigo, Juan;

Neurocomputing (p. 64-73) - 28/2/2020

10.1016/j.neucom.2019.09.101 View at source

  • ISSN 09252312

Computer vision-based diameter maps to study fluoroscopic recordings of small intestinal motility from conscious experimental animals

  • Ramirez, I.
  • Pantrigo, J. J.
  • Montemayor, A. S.
  • Lopez-Perez, A. E.
  • Martin-Fontelles, M. I.
  • Brookes, S. J. H.
  • Abalo, R.;
... View more Collapse

Neurogastroenterology And Motility - 1/8/2017

10.1111/nmo.13052 View at source

  • ISSN 13501925

Non-convex non-local reactive flows for saliency detection and segmentation

  • Galiano, G.
  • Ramirez, I
  • Schiavi, E.;

Journal Of Computational And Applied Mathematics - 15/10/2020

10.1016/j.cam.2020.112873 View at source

  • ISSN 03770427

This researcher has no books.

Modelling sparse saliency maps on manifolds: Numerical results and applications

  • Alcaín E
  • Muñoz AI
  • Ramírez I
  • Schiavi E

Sema Simai Springer Series (p. 157-175) - 1/1/2019

10.1007/978-3-030-00341-8_10 View at source

  • ISSN 2199305X

A non-local diffusion saliency model for magnetic resonance imaging

  • Ramírez I
  • Galiano G
  • Malpica N
  • Schiavi E

BIOIMAGING 2017 - 4th International Conference on Bioimaging, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017 (p. 100-107) - 1/1/2017

10.5220/0006172101000107 View at source

Convolutional neural networks for computer vision-based detection and recognition of dumpsters

  • Ramirez, Ivan
  • Cuesta-Infante, Alfredo
  • Pantrigo, Juan J.
  • Montemayor, Antonio S.
  • Moreno, Jose Luis
  • Alonso, Valvanera
  • Anguita, Gema
  • Palombarani, Luciano;
... View more Collapse

Neural Computing & Applications (p. 13203-13211) - 1/9/2020

10.1007/s00521-018-3390-8 View at source

  • ISSN 14333058

OPTIMIZATION OF A VARIATIONAL MODEL USING DEEP LEARNING: AN APPLICATION TO BRAIN TUMOR SEGMENTATION

  • Ramirez, I
  • Martin, A
  • Schiavi, E

Proceedings (International Symposium On Biomedical Imaging) (p. 631-634) - 1/1/2018

10.1109/isbi.2018.8363654 View at source

  • ISSN 19457928

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 7/6/23 3:46 AM