ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.06457
  4. Cited By
Quantitative analysis of patch-based fully convolutional neural networks
  for tissue segmentation on brain magnetic resonance imaging

Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging

19 January 2018
J. Bernal
Kaisar Kushibar
Mariano Cabezas
Sergi Valverde
A. Oliver
Xavier Llado
    3DV
ArXivPDFHTML

Papers citing "Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging"

2 / 2 papers shown
Title
Myocardial Infarction Quantification From Late Gadolinium Enhancement
  MRI Using Top-hat Transforms and Neural Networks
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks
Ezequiel de la Rosa
D. Sidibé
Thomas Decourselle
T. Leclercq
A. Cochet
A. Lalande
22
16
0
09 Jan 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
304
10,618
0
19 Feb 2017
1