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Feature Learning Using Stacked Autoencoder for Shared and Multimodal Fusion of Medical Images
Computational Intelligence: Theories, Applications and Future Directions - Volume I - Advances in Intelligent Systems and Computing
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10.1007/978-981-13-1132-1_5
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2018
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pp. 53-66
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Cited By ~ 1
Author(s):
Vikas Singh
◽
Nishchal K. Verma
◽
Zeeshan Ul Islam
◽
Yan Cui
Keyword(s):
Medical Images
◽
Feature Learning
◽
Multimodal Fusion
◽
Stacked Autoencoder
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References
Feature learning using Stacked Autoencoder for Multimodal Fusion, Shared and Cross Learning on Medical Images
2019 IEEE Bombay Section Signature Conference (IBSSC)
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10.1109/ibssc47189.2019.8973087
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2019
◽
Author(s):
Zeeshan Ul Islam
◽
Vikas Singh
◽
Nishchal K. Verma
Keyword(s):
Medical Images
◽
Feature Learning
◽
Multimodal Fusion
◽
Stacked Autoencoder
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Robust feature learning by stacked autoencoder with maximum correntropy criterion
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp.2014.6854900
◽
2014
◽
Cited By ~ 24
Author(s):
Yu Qi
◽
Yueming Wang
◽
Xiaoxiang Zheng
◽
Zhaohui Wu
Keyword(s):
Feature Learning
◽
Stacked Autoencoder
◽
Maximum Correntropy Criterion
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Deep learning guided by an ontology for medical images classification using a multimodal fusion
2021 International Congress of Advanced Technology and Engineering (ICOTEN)
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10.1109/icoten52080.2021.9493469
◽
2021
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Author(s):
Hela Yahyaoui
◽
Fethi Ghazouani
◽
Imed Riadh Farah
Keyword(s):
Deep Learning
◽
Medical Images
◽
Multimodal Fusion
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Manifold Regularized Stacked Autoencoder for Feature Learning
2015 IEEE International Conference on Systems, Man, and Cybernetics
◽
10.1109/smc.2015.513
◽
2015
◽
Cited By ~ 4
Author(s):
Sicong Lu
◽
Huaping Liu
◽
Chunwen Li
Keyword(s):
Feature Learning
◽
Stacked Autoencoder
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Fast and Unsupervised Non-Local Feature Learning for Direct Volume Rendering of 3D Medical Images
10.1109/iros51168.2021.9636042
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2021
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Author(s):
Xinmei Fu
◽
Zhenzhou Shao
◽
Ying Qu
◽
Yong Guan
◽
Yibo Zou
◽
...
Keyword(s):
Volume Rendering
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Medical Images
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Feature Learning
◽
Local Feature
◽
Direct Volume Rendering
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Non Local
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Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube
Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
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10.1007/978-3-030-32251-9_46
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2019
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pp. 420-428
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Cited By ~ 7
Author(s):
Xinrui Zhuang
◽
Yuexiang Li
◽
Yifan Hu
◽
Kai Ma
◽
Yujiu Yang
◽
...
Keyword(s):
Medical Images
◽
Feature Learning
◽
Rubik's Cube
◽
Rubik’S Cube
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Location detection of key areas in medical images based on Haar-like fusion contour feature learning
Technology and Health Care
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10.3233/thc-209040
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2020
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Vol 28
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pp. 391-399
Author(s):
Shuchun Yu
◽
Qi Wang
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Changhai Ru
◽
Ming Pang
Keyword(s):
Medical Images
◽
Feature Learning
◽
Contour Feature
◽
Location Detection
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Detection of Application Layer DDoS attack by feature learning using Stacked AutoEncoder
2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT)
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10.1109/icctict.2016.7514608
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2016
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Cited By ~ 16
Author(s):
Satyajit Yadav
◽
Selvakumar Subramanian
Keyword(s):
Feature Learning
◽
Application Layer
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Ddos Attack
◽
Stacked Autoencoder
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Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics - Advances in Computer Vision and Pattern Recognition
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10.1007/978-3-030-13969-8_10
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2019
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pp. 199-216
Author(s):
Siqi Liu
◽
Daguang Xu
◽
S. Kevin Zhou
◽
Sasa Grbic
◽
Weidong Cai
◽
...
Keyword(s):
Medical Images
◽
Feature Learning
◽
Hybrid Network
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FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-chamber Views
IEEE Journal of Biomedical and Health Informatics
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10.1109/jbhi.2021.3091579
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2021
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pp. 1-1
Author(s):
Sibo Qiao
◽
Shanchen Pang
◽
Gang Luo
◽
Silin Pan
◽
Taotao Chen
◽
...
Keyword(s):
Medical Images
◽
Detection System
◽
Feature Learning
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