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Items: 1 to 20 of 145

1.

Low-Rank Deep Convolutional Neural Network for Multitask Learning.

Su F, Shang HY, Wang JY.

Comput Intell Neurosci. 2019 May 20;2019:7410701. doi: 10.1155/2019/7410701. eCollection 2019.

2.

Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.

Li S, Jiang H, Pang W.

Comput Biol Med. 2017 May 1;84:156-167. doi: 10.1016/j.compbiomed.2017.03.017. Epub 2017 Mar 22.

PMID:
28365546
3.

Convolutional neural networks: an overview and application in radiology.

Yamashita R, Nishio M, Do RKG, Togashi K.

Insights Imaging. 2018 Aug;9(4):611-629. doi: 10.1007/s13244-018-0639-9. Epub 2018 Jun 22. Review.

4.

Deep Manifold Structure Transfer for Action Recognition.

Li C, Zhang B, Chen C, Ye Q, Han J, Guo G, Ji R.

IEEE Trans Image Process. 2019 Apr 25. doi: 10.1109/TIP.2019.2912357. [Epub ahead of print]

PMID:
31034413
5.

Cross-Convolutional-Layer Pooling for Image Recognition.

Liu L, Shen C, Hengel AVD.

IEEE Trans Pattern Anal Mach Intell. 2017 Nov;39(11):2305-2313. doi: 10.1109/TPAMI.2016.2637921. Epub 2016 Dec 9.

PMID:
27959804
6.

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.

Han Z, Wei B, Leung S, Nachum IB, Laidley D, Li S.

Neuroinformatics. 2018 Oct;16(3-4):325-337. doi: 10.1007/s12021-018-9365-1.

PMID:
29450848
7.

Full left ventricle quantification via deep multitask relationships learning.

Xue W, Brahm G, Pandey S, Leung S, Li S.

Med Image Anal. 2018 Jan;43:54-65. doi: 10.1016/j.media.2017.09.005. Epub 2017 Sep 28.

PMID:
28987903
8.

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing.

Srinivasan G, Roy K.

Front Neurosci. 2019 Mar 19;13:189. doi: 10.3389/fnins.2019.00189. eCollection 2019.

9.

Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition.

He R, Wu X, Sun Z, Tan T.

IEEE Trans Pattern Anal Mach Intell. 2019 Jul;41(7):1761-1773. doi: 10.1109/TPAMI.2018.2842770. Epub 2018 Jun 1.

PMID:
29993534
10.

Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition.

Cao C, Zhang Y, Zhang C, Lu H.

IEEE Trans Cybern. 2018 Mar;48(3):1095-1108. doi: 10.1109/TCYB.2017.2756840.

PMID:
29424695
11.

Recomputation of dense layers for the performance improvement of DCNN.

Yang Y, Wu JQM, Feng X, Thangarajah A.

IEEE Trans Pattern Anal Mach Intell. 2019 May 20. doi: 10.1109/TPAMI.2019.2917685. [Epub ahead of print]

PMID:
31107643
12.

Towards dropout training for convolutional neural networks.

Wu H, Gu X.

Neural Netw. 2015 Nov;71:1-10. doi: 10.1016/j.neunet.2015.07.007. Epub 2015 Jul 29.

PMID:
26277608
13.

Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm.

Sengur A, Akbulut Y, Guo Y, Bajaj V.

Health Inf Sci Syst. 2017 Oct 30;5(1):9. doi: 10.1007/s13755-017-0029-6. eCollection 2017 Dec.

14.

Deep Cascade Learning.

Marquez ES, Hare JS, Niranjan M.

IEEE Trans Neural Netw Learn Syst. 2018 Nov;29(11):5475-5485. doi: 10.1109/TNNLS.2018.2805098. Epub 2018 Mar 6.

PMID:
29993618
15.

Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network.

Liu X, Zhou Q, Zhao J, Shen H, Xiong X.

Sensors (Basel). 2019 Feb 25;19(4). pii: E972. doi: 10.3390/s19040972.

16.

Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update.

Gao C, Shi H, Yu JG, Sang N.

Sensors (Basel). 2016 Apr 15;16(4). pii: E545. doi: 10.3390/s16040545.

17.

Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text.

Li Z, Yang Z, Shen C, Xu J, Zhang Y, Xu H.

BMC Med Inform Decis Mak. 2019 Jan 31;19(Suppl 1):22. doi: 10.1186/s12911-019-0736-9.

18.

Deep Visual Attention Prediction.

Wenguan Wang, Jianbing Shen.

IEEE Trans Image Process. 2018 May;27(5):2368-2378. doi: 10.1109/TIP.2017.2787612. Epub 2017 Dec 27.

PMID:
29990140
19.

Deep Cascade Model based Face Recognition: When Deep-layered Learning Meets Small Data.

Zhang L, Liu J, Zhanga B, Zhangb D, Zhu C.

IEEE Trans Image Process. 2019 Sep 5. doi: 10.1109/TIP.2019.2938307. [Epub ahead of print]

PMID:
31502970
20.

Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation.

Zhu ZA, Lu YC, You CH, Chiang CK.

Sensors (Basel). 2019 Feb 20;19(4). pii: E887. doi: 10.3390/s19040887.

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