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. 1902.09063
  4. Cited By
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

25 February 2019
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
Bram van Ginneken
A. Kopp-Schneider
Bennett A. Landman
G. Litjens
Bjoern H. Menze
Olaf Ronneberger
Ronald M. Summers
Patrick Bilic
P. Christ
Richard K G Do
M. Gollub
Jennifer S. Goli Pernicka
S. Heckers
William R. Jarnagin
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
ArXivPDFHTML

Papers citing "A large annotated medical image dataset for the development and evaluation of segmentation algorithms"

11 / 161 papers shown
Title
One Network to Segment Them All: A General, Lightweight System for
  Accurate 3D Medical Image Segmentation
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Mathias Perslev
Erik Dam
A. Pai
Christian Igel
SSeg
VLM
MedIm
21
82
0
05 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
667
0
16 Oct 2019
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
J. Viviano
B. Simpson
Francis Dutil
Yoshua Bengio
Joseph Paul Cohen
FAtt
26
6
0
01 Oct 2019
3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image
  Segmentation
3D U2^22-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
Chao Huang
Hu Han
Qingsong Yao
Shankuan Zhu
S. Kevin Zhou
OOD
SSeg
29
71
0
04 Sep 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
29
19
0
15 Aug 2019
DeepMRSeg: A convolutional deep neural network for anatomy and
  abnormality segmentation on MR images
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
J. Doshi
G. Erus
Mohamad Habes
Christos Davatzikos
MedIm
30
27
0
03 Jul 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image
  Segmentation
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Zhuotun Zhu
Chenxi Liu
Dong Yang
Alan Yuille
Daguang Xu
29
104
0
06 Jun 2019
Automated Design of Deep Learning Methods for Biomedical Image
  Segmentation
Automated Design of Deep Learning Methods for Biomedical Image Segmentation
Fabian Isensee
Paul F. Jäger
Simon A. A. Kohl
Jens Petersen
Klaus H. Maier-Hein
3DV
SSeg
29
170
0
17 Apr 2019
Deep Co-Training for Semi-Supervised Image Segmentation
Deep Co-Training for Semi-Supervised Image Segmentation
Jizong Peng
Guillermo Estrada
M. Pedersoli
Christian Desrosiers
37
179
0
27 Mar 2019
Interactive segmentation of medical images through fully convolutional
  neural networks
Interactive segmentation of medical images through fully convolutional neural networks
Tomas Sakinis
Fausto Milletari
H. Roth
P. Korfiatis
Petro M. Kostandy
Kenneth A. Philbrick
Z. Akkus
Ziyue Xu
Daguang Xu
Bradley J. Erickson
16
81
0
19 Mar 2019
Pancreas segmentation with probabilistic map guided bi-directional
  recurrent UNet
Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet
Jun Li
Xiaozhu Lin
Hui Che
Hao Li
Xiaohua Qian
SSeg
18
39
0
03 Mar 2019
Previous
1234