Enzo Ferrante

  • Assistant Researcher, CONICET

Research Interests

  • Medical image analysis
  • Deep learning
  • Machine learning
  • Computer vision
  • Probabilistic graphical models
  • Discrete optimization

Advisor

Co-advisor

  • Ruben Spies

Latest Publicactions

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study
  • M. Monteiro
  • V. F. J. Newcombe
  • F. Mathieu
  • Kamnitsas K.
  • E. Ferrante
  • T. Das
  • K. Adatia
  • D. Rueckert
  • D. K. Menon
  • B. Glocker

The Lancet Digital Health - 2020

Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
  • A. Larrazabal
  • C. E. Martínez
  • B. Glocker
  • E. Ferrante

IEEE Transactions on Medical Imaging - 2020

Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy
  • F. Matzkin
  • V. F. J. Newcombe
  • S. Stevenson
  • A. Khetani
  • T. Newman
  • R. Digby
  • A. Stevens
  • B. Glocker
  • E. Ferrante

Medical Image Computing and Computer Assisted Intervention -- MICCAI 2020 - 2020

Learning deformable registration of medical images with anatomical constraints
  • L. Mansilla
  • D. H. Milone
  • E. Ferrante

Neural Networks - 2020

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
  • A. Larrazabal
  • N. Nieto
  • V. Peterson
  • D. H. Milone
  • E. Ferrante

Proceedings of the National Academy of Sciences - 2020

More Publications

Citations

GScholar DBLP

Personal Contact

  • Phone: +54 (342) 4575233/34, ext. 192
  • Office number: 2
  • E-mail: eferrante@sinc.unl.edu.ar
  • Web: eferrante.github.io