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Diversity-Promoting Ensemble for Medical Image Segmentation

Diversity-Promoting Ensemble for Medical Image Segmentation

22 October 2022
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
A. Miron
ArXivPDFHTML

Papers citing "Diversity-Promoting Ensemble for Medical Image Segmentation"

19 / 19 papers shown
Title
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes
  for Medical Image Super-Resolution
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
A. Miron
O. Savencu
Nicolae-Cătălin Ristea
N. Verga
Fahad Shahbaz Khan
SupR
42
51
0
08 Apr 2022
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao
Mu Zhou
Dimitris N. Metaxas
MedIm
ViT
68
430
0
02 Jul 2021
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from
  Medical Images Using Deep Learning
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Xiangde Luo
Guotai Wang
Tao Song
Jingyang Zhang
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
Shaoting Zhang
79
97
0
25 Apr 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
170
1,606
0
18 Mar 2021
TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViT
MedIm
98
3,473
0
08 Feb 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
83
1,085
0
02 Nov 2020
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High
  Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Hyunseok Seo
Charles Huang
M. Bassenne
Ruoxiu Xiao
Lei Xing
61
279
0
31 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
137
18,115
0
28 May 2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ
  Segmentation
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Yuyin Zhou
Zhe Li
S. Bai
Chong Wang
Xinlei Chen
Mei Han
Elliot K. Fishman
Alan Yuille
48
176
0
12 Apr 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
101
6,138
0
18 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
222
16,541
0
17 Jul 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
159
5,042
0
11 Apr 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,481
0
05 Sep 2017
Tversky loss function for image segmentation using 3D fully
  convolutional deep networks
Tversky loss function for image segmentation using 3D fully convolutional deep networks
S. Salehi
Deniz Erdogmus
Ali Gholipour
MedIm
54
832
0
18 Jun 2017
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
132
3,057
0
18 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
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
1.8K
77,133
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,525
0
01 Sep 2014
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