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Spatially Dependent U-Nets: Highly Accurate Architectures for Medical
  Imaging Segmentation

Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation

22 March 2021
João B. S. Carvalho
J. Santinha
DJordje Miladinović
J. M. Buhmann
    SSeg
ArXivPDFHTML

Papers citing "Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation"

9 / 9 papers shown
Title
Spatial Dependency Networks: Neural Layers for Improved Generative Image
  Modeling
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
DJordje Miladinović
Aleksandar Stanić
Stefan Bauer
Jürgen Schmidhuber
J. M. Buhmann
DRL
31
9
0
16 Mar 2021
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
71
2,604
0
11 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
106
42,038
0
03 Dec 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
75
1,009
0
13 Jan 2019
No New-Net
No New-Net
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
SSeg
53
396
0
27 Sep 2018
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedIm
GAN
42
544
0
06 Jun 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
998
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
865
76,547
0
18 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
488
23,235
0
03 Jun 2014
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