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