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

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation
  • N. Gaggion
  • L. Mansilla
  • D. H. Milone
  • E. Ferrante
  • M. de Bruijne
  • P. Cattin
  • S. Cotin
  • N. Padoy
  • S. Speidel
  • Y. Zheng
  • C. Essert

Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021 - 2021

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture
  • N. Gaggion
  • F. Ariel
  • V. Daric
  • É. Lambert
  • S. Legendre
  • T. Roulé
  • A. Camoirano
  • D. H. Milone
  • M. Crespi
  • T. Blein
  • E. Ferrante

GigaScience - 2021

Cranial Implant Design via Virtual Craniectomy with Shape Priors
  • F. Matzkin
  • V. F. J. Newcombe
  • B. Glocker
  • E. Ferrante

Towards the Automatization of Cranial Implant Design in Cranioplasty - 2020

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

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