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Image segmentation
OpenAlex ID:
C124504099
U-Net: Convolutional Networks for Biomedical Image Segmentation
2015
·
Olaf Ronneberger
, Philipp Fischer
, et al.
·
Lecture notes in computer science
·
99,078
PDF
Microsoft COCO: Common Objects in Context
2014
·
Tsung-Yi Lin
, Michael Maire
, et al.
·
Lecture notes in computer science
·
45,344
PDF
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021
·
Ze Liu
, Yutong Lin
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
35,273
PDF
Mask R-CNN
2017
·
Kaiming He
, Georgia Gkioxari
, et al.
·
IEEE International Conference on Computer Vision (ICCV)
·
29,066
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017
·
Liang-Chieh Chen
, George Papandreou
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
22,353
PDF
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
1984
·
Stuart Geman
, Donald Geman
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
17,946
Snakes: Active contour models
1988
·
Michael Kass
, Andrew Witkin
, et al.
·
International Journal of Computer Vision
·
17,113
Normalized cuts and image segmentation
2000
·
Jianbo Shi
, J. Malik
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
15,720
A survey on deep learning in medical image analysis
2017
·
Geert Litjens
, Thijs Kooi
, et al.
·
Medical Image Analysis
·
15,253
PDF
The Knowledge-creating company: How Japanese companies create the dynamics of innovation
1997
·
H. Takeuchi
·
Research Policy
·
13,156
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
2001
·
John Lafferty
, Andrew McCallum
, et al.
·
ScholarlyCommons (University of Pennsylvania)
·
12,956
PDF
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
2016
·
Fausto Milletari
, Nassir Navab
, et al.
·
International Conference on 3D Vision (3DV)
·
11,869
PDF
Segment Anything
2023
·
Alexander Kirillov
, Eric Mintun
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
11,809
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018
·
Zongwei Zhou
, Md Mahfuzur Rahman Siddiquee
, et al.
·
Lecture notes in computer science
·
10,393
PDF
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
2020
·
Fabian Isensee
, Paul F. Jaeger
, et al.
·
Nature Methods
·
10,376
PDF
Active contours without edges
2001
·
T.F. Chan
, L.A. Vese
·
IEEE Transactions on Image Processing
·
10,316
Searching for MobileNetV3
2019
·
Andrew Howard
, Mark Sandler
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
9,637
PDF
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
2012
·
R. Achanta
, A. Shaji
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
9,226
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
2006
·
Paul A. Yushkevich
, Joseph Piven
, et al.
·
NeuroImage
·
8,859
A ConvNet for the 2020s
2022
·
Zhuang Liu
, Hanzi Mao
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
8,389
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
2002
·
D. Martin
, C. Fowlkes
, et al.
·
IEEE International Conference on Computer Vision (ICCV)
·
8,205
Multi-Scale Context Aggregation by Dilated Convolutions
2015
·
Yu, Fisher
, Koltun, Vladlen
·
arXiv (Cornell University)
·
7,738
PDF
Unified segmentation
2005
·
John Ashburner
, Karl J. Friston
·
NeuroImage
·
7,498
Active Shape Models-Their Training and Application
1995
·
T.F. Cootes
, C.J. Taylor
, et al.
·
Computer Vision and Image Understanding
·
7,188
PDF
Digital Image Processing Using MATLAB
2003
·
Rafael C. González
, Richard E. Woods
, et al.
·
7,075
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Citation count:
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