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Learning Normalized Inputs for Iterative Estimation in Medical Image
  Segmentation

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation

16 February 2017
M. Drozdzal
Gabriel Chartrand
Eugene Vorontsov
Lisa Di-Jorio
A. Tang
Adriana Romero
Yoshua Bengio
C. Pal
Samuel Kadoury
    MedIm
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Papers citing "Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation"

10 / 10 papers shown
Title
Moving from 2D to 3D: volumetric medical image classification for rectal
  cancer staging
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging
Joohyun Lee
J. Oh
Inkyu Shin
You-sung Kim
D. Sohn
Tae-Sung Kim
In So Kweon
MedIm
29
4
0
13 Sep 2022
Sequential vessel segmentation via deep channel attention network
Sequential vessel segmentation via deep channel attention network
Dongdong Hao
Song Ding
Linwei Qiu
Yisong Lv
B. Fei
Yueqi Zhu
Binjie Qin
35
52
0
10 Feb 2021
Realistic Image Normalization for Multi-Domain Segmentation
Realistic Image Normalization for Multi-Domain Segmentation
Pierre-Luc Delisle
Benoit Anctil-Robitaille
Christian Desrosiers
H. Lombaert
36
17
0
29 Sep 2020
Boundary-aware Context Neural Network for Medical Image Segmentation
Boundary-aware Context Neural Network for Medical Image Segmentation
Ruxin Wang
Shuyuan Chen
Chaojie Ji
Jianping Fan
Ye Li
27
138
0
03 May 2020
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
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Joohyun Lee
J. Oh
Min Ju Kim
B. Hur
D. Sohn
22
15
0
22 Jan 2019
Cross-Classification Clustering: An Efficient Multi-Object Tracking
  Technique for 3-D Instance Segmentation in Connectomics
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
Yaron Meirovitch
Lu Mi
Hayk Saribekyan
A. Matveev
David Rolnick
Nir Shavit
40
38
0
04 Dec 2018
Liver lesion segmentation informed by joint liver segmentation
Liver lesion segmentation informed by joint liver segmentation
Eugene Vorontsov
A. Tang
Chris Pal
Samuel Kadoury
MedIm
18
112
0
24 Jul 2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for
  Neuronal Boundary Detection
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
Wei Shen
Bin Wang
Yuan Jiang
Yan Wang
Alan Yuille
16
62
0
24 Mar 2017
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
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