Lucas Mansilla

  • Doctoral Scholarship, CONICET

Research Interest

  • Medical Image Analysis
  • Deep Learning
  • Computer Vision
  • Image Registration

Advisor

Coadvisor

Latest Publicactions

Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
  • N. Gaggion
  • L. Mansilla
  • C. Mosquera
  • D. H. Milone
  • E. Ferrante

IEEE Transactions on Medical Imaging - 2022

Domain Generalization via Gradient Surgery
  • L. Mansilla
  • R. Echeveste
  • D. H. Milone
  • E. Ferrante

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) - 2021

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation
  • N. Gaggion
  • L. Mansilla
  • D. H. Milone
  • E. Ferrante

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

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

Neural Networks - 2020

Segmentación multi-atlas de imágenes médicas con selección de atlas inteligente y control de calidad automático
  • L. Mansilla
  • E. Ferrante

XXIV Congreso Argentino de Ciencias de la Computación (La Plata, 2018). - 2018

More Publications

Personal Contact

  • Phone: +54 (342) 4575233/34, ext. 119
  • Lab 1
  • E-mail: lmansilla@sinc.unl.edu.ar