Enzo Ferrante

  • Research Assistant, CONICET

Research Interests

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

Advisor

Co-advisor

  • Ruben Spies

Latest Publicactions

Deep learning with ultrasound physics for fetal skull segmentation.
  • J. Cerrolaza
  • M. Sinclair
  • Y. Li
  • A. Gómez
  • E. Ferrante
  • J. Matthew
  • C. Gupta
  • C. Knight
  • D. Rueckert

Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on - 2018

Disease prediction using graph convolutional networks: application to autism spectrum disorder and alzheimer’s disease.
  • S. Parisot
  • S. I. Ktena
  • E. Ferrante
  • M. Lee
  • R. Guerrero
  • B. Glocker
  • D. Rueckert

Medical Image Analysis - 2018

Ensembles of multiple models and architectures for robust brain tumour segmentation
  • K. Kamnitsas
  • W. Bai
  • E. Ferrante
  • S. McDonagh
  • M. Sinclair
  • N. Pawlowski
  • M. Rajchl
  • M. Lee
  • B. Kainz
  • D. Rueckert
  • B. Glocker

MICCAI BrainLes 2017 - 2017

Metric learning with spectral graph convolutions on brain connectivity networks
  • S. I. Ktena
  • S. Parisot
  • E. Ferrante
  • M. Rajchl
  • M. Lee
  • B. Glocker
  • D. Rueckert

NeuroImage - 2017

Spectral graph convolutions for population-based disease prediction
  • S. Parisot
  • S. I. Ktena
  • E. Ferrante
  • M. Lee
  • R. Guerrero Moreno
  • B. Glocker
  • D. Rueckert

International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) - 2017

More Publications

Citations

GScholar DBLP

Personal Contact

  • Phone: +54 (342) 4575233/34, ext. 190
  • Office number: 10
  • E-mail: eferrante@sinc.unl.edu.ar
  • Web: eferrante.github.io