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. 2010.15526
  4. Cited By
An automatic multi-tissue human fetal brain segmentation benchmark using
  the Fetal Tissue Annotation Dataset
v1v2v3v4 (latest)

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

29 October 2020
K. Payette
Priscille de Dumast
Hamza Kebiri
Ivan Ezhov
Johannes C. Paetzold
Suprosanna Shit
Asim Iqbal
Romesa Khan
R. Kottke
P. Grehten
H. Ji
L. Lanczi
Marianna Nagy
M. Béresová
Thi Dao Nguyen
G. Natalucci
T. Karayannis
Bjoern Menze
Meritxell Bach Cuadra
Andras Jakab
ArXiv (abs)PDFHTML

Papers citing "An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset"

13 / 13 papers shown
Title
Red-GAN: Attacking class imbalance via conditioned generation. Yet
  another perspective on medical image synthesis for skin lesion dermoscopy and
  brain tumor MRI
Red-GAN: Attacking class imbalance via conditioned generation. Yet another perspective on medical image synthesis for skin lesion dermoscopy and brain tumor MRI
A. Qasim
Ivan Ezhov
Suprosanna Shit
Oliver Schoppe
Johannes C. Paetzold
Anjany Sekuboyina
Florian Kofler
Jana Lipkova
Hongwei Bran Li
Bjoern Menze
GANMedIm
56
55
0
22 Apr 2020
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation
Fernando Navarro
Suprosanna Shit
Ivan Ezhov
Johannes C. Paetzold
A. Gafita
J. Peeken
Stephanie E. Combs
Bjoern Menze
72
62
0
14 Aug 2019
Automatic brain tissue segmentation in fetal MRI using convolutional
  neural networks
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
Nadieh Khalili
Nikolas Lessmann
Elise Turk
N. Claessens
R. Heus
T. Kolk
M. Viergever
M. Benders
I. Isgum
42
101
0
11 Jun 2019
Developing Brain Atlas through Deep Learning
Developing Brain Atlas through Deep Learning
Asim Iqbal
Romesa Khan
T. Karayannis
34
49
0
10 Jul 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate
  Segmentation of Neuroanatomy
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
79
227
0
12 Jan 2018
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
133
2,150
0
11 Jul 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
360
27,244
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
483
22,143
0
09 Dec 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
525
62,377
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Multi-Atlas Segmentation of Biomedical Images: A Survey
Multi-Atlas Segmentation of Biomedical Images: A Survey
Juan Eugenio Iglesias
M. Sabuncu
108
673
0
10 Dec 2014
1