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

Left ventricle quantification through spatio-temporal CNNs
  • A. Debus
  • E. Ferrante

Statistical Atlases and Computational Modeling of the Heart (STACOM 2018) - 2018

On the adaptability of unsupervised cnn-based deformable image registration to unseen image domains
  • E. Ferrante
  • O. Oktay
  • B. Glocker
  • D. H. Milone

International Workshop on Machine Learning in Medical Imaging - 2018

Weakly-supervised learning of metric aggregations for deformable image registration
  • E. Ferrante
  • P. Dokania
  • R. Marini
  • P. Nikos

IEEE journal of biomedical and health informatics - 2018

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

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