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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"

20 / 120 papers shown
Title
Test-time Unsupervised Domain Adaptation
Test-time Unsupervised Domain Adaptation
Thomas Varsavsky
Mauricio Orbes-Arteaga
Carole H. Sudre
M. Graham
P. Nachev
M. Jorge Cardoso
OOD
19
55
0
05 Oct 2020
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image
  Segmentation
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Yuanfeng Ji
Ruimao Zhang
Zhuguo Li
Jiamin Ren
Shaoting Zhang
Ping Luo
3DPC
11
23
0
16 Sep 2020
Robust Pancreatic Ductal Adenocarcinoma Segmentation with
  Multi-Institutional Multi-Phase Partially-Annotated CT Scans
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans
Ling Zhang
Yu Shi
Jiawen Yao
Yun Bian
Kai Cao
D. Jin
Jing Xiao
Le Lu
19
20
0
24 Aug 2020
LAMP: Large Deep Nets with Automated Model Parallelism for Image
  Segmentation
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
Wentao Zhu
Can Zhao
Wenqi Li
H. Roth
Ziyue Xu
Daguang Xu
3DV
24
18
0
22 Jun 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
13
17
0
28 May 2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D
  Multi-Modal Image Alignment of Large-scale Pathological CT Scans
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans
Fengze Liu
Jinzheng Cai
Yuankai Huo
Chi-Tung Cheng
Ashwin Raju
...
Jing Xiao
Alan Yuille
Le Lu
Chien-Hung Liao
Adam P. Harrison
3DV
27
21
0
25 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
18
18
0
19 May 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang
Ding Xia
Taichi Kin
Takeo Igarashi
12
71
0
02 Mar 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
33
610
0
17 Jan 2020
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for
  Medical Image Segmentation
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
Minh H. Vu
G. Grimbergen
T. Nyholm
Tommy Löfstedt
SSeg
23
31
0
19 Dec 2019
Give me (un)certainty -- An exploration of parameters that affect
  segmentation uncertainty
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty
K. Hoebel
Ken Chang
J. Patel
Praveer Singh
Jayashree Kalpathy-Cramer
UQCV
13
7
0
14 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
31
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
15
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
24
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
18
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
20
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
23
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
18
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
29
178
0
27 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
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