112 related articles for article (PubMed ID: 17233161)
1. Combining neural network models for automated diagnostic systems.
Ubeyli ED
J Med Syst; 2006 Dec; 30(6):483-8. PubMed ID: 17233161
[TBL] [Abstract][Full Text] [Related]
2. Improving medical diagnostic accuracy of ultrasound Doppler signals by combining neural network models.
Ubeyli ED; Güler I
Comput Biol Med; 2005 Jul; 35(6):533-54. PubMed ID: 15780863
[TBL] [Abstract][Full Text] [Related]
3. A mixture of experts network structure for modelling Doppler ultrasound blood flow signals.
Güler I; Ubeyl ED
Comput Biol Med; 2005 Oct; 35(7):565-82. PubMed ID: 16170866
[TBL] [Abstract][Full Text] [Related]
4. Combined neural network model employing lyapunov exponents: internal carotid arterial disorders detection case.
Fatma Guler N; Derya Ubeyli E; Guler I
Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():4564-7. PubMed ID: 17281255
[TBL] [Abstract][Full Text] [Related]
5. A mixture of experts network structure for EEG signals classification.
Gule I; Derya Ubeyli E; Fatma Guler N
Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():2707-10. PubMed ID: 17282798
[TBL] [Abstract][Full Text] [Related]
6. Adaptive neuro-fuzzy inference systems for analysis of internal carotid arterial Doppler signals.
Derya Ubeyli E; Güler I
Comput Biol Med; 2005 Oct; 35(8):687-702. PubMed ID: 16124990
[TBL] [Abstract][Full Text] [Related]
7. Feature extraction from Doppler ultrasound signals for automated diagnostic systems.
Ubeyli ED; Güler I
Comput Biol Med; 2005 Nov; 35(9):735-64. PubMed ID: 16278106
[TBL] [Abstract][Full Text] [Related]
8. Automated diagnostic systems with diverse and composite features for Doppler ultrasound signals.
Güler I; Ubeyli ED
IEEE Trans Biomed Eng; 2006 Oct; 53(10):1934-42. PubMed ID: 17019857
[TBL] [Abstract][Full Text] [Related]
9. Automatic detection of erthemato-squamous diseases using adaptive neuro- fuzzy inference systems.
Ubeyli ED; Güler I
Comput Biol Med; 2005 Jun; 35(5):421-433. PubMed ID: 16136651
[TBL] [Abstract][Full Text] [Related]
10. Classification of EEG signals using neural network and logistic regression.
Subasi A; Erçelebi E
Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
[TBL] [Abstract][Full Text] [Related]
11. Wavelet-based neural network analysis of internal carotid arterial Doppler signals.
Ubeyli ED; Güler I
J Med Syst; 2006 Jun; 30(3):221-9. PubMed ID: 16848135
[TBL] [Abstract][Full Text] [Related]
12. Three-Class Mammogram Classification Based on Descriptive CNN Features.
Jadoon MM; Zhang Q; Haq IU; Butt S; Jadoon A
Biomed Res Int; 2017; 2017():3640901. PubMed ID: 28191461
[TBL] [Abstract][Full Text] [Related]
13. Classification of the frequency of carotid artery stenosis with MLP and RBF neural networks in patients with coroner artery disease.
Yýldýrým H; Altýnsoy HB; Barýpçý N; Ergün U; Oğur E; Hardalaç lF; Güler I
J Med Syst; 2004 Dec; 28(6):591-601. PubMed ID: 15615287
[TBL] [Abstract][Full Text] [Related]
14. A mixture of experts network structure for breast cancer diagnosis.
Ubeyli ED
J Med Syst; 2005 Oct; 29(5):569-79. PubMed ID: 16180491
[TBL] [Abstract][Full Text] [Related]
15. Combining neural network predictions for medical diagnosis.
Hayashi Y; Setiono R
Comput Biol Med; 2002 Jul; 32(4):237-46. PubMed ID: 11931862
[TBL] [Abstract][Full Text] [Related]
16. Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network.
Ceylan M; Ceylan R; Ozbay Y; Kara S
Artif Intell Med; 2008 Sep; 44(1):65-76. PubMed ID: 18650074
[TBL] [Abstract][Full Text] [Related]
17. Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.
P S; R T
Asian Pac J Cancer Prev; 2018 Sep; 19(9):2665-2671. PubMed ID: 30256567
[TBL] [Abstract][Full Text] [Related]
18. Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform.
Shi Y; Wang G; Niu J; Zhang Q; Cai M; Sun B; Wang D; Xue M; Zhang XD
Int J Biol Sci; 2018; 14(8):938-945. PubMed ID: 29989104
[TBL] [Abstract][Full Text] [Related]
19. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
Kutlu H; Avcı E
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
[TBL] [Abstract][Full Text] [Related]
20. [Blood cell recognition based on wavelet packet analysis and the neural network].
Jia DD; Li H
Zhongguo Yi Liao Qi Xie Za Zhi; 2008 Jul; 32(4):239-41, 252. PubMed ID: 18973029
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
