Yildirim O - Search Results

1

Review of Deep Learning-Based Atrial Fibrillation Detection Studies.

Murat F, Sadak F, Yildirim O, Talo M, Murat E, Karabatak M, Demir Y, Tan RS, Acharya UR. Murat F, et al. Among authors: yildirim o. Int J Environ Res Public Health. 2021 Oct 28;18(21):11302. doi: 10.3390/ijerph182111302. Int J Environ Res Public Health. 2021. PMID: 34769819 Free PMC article. Review.

2

Arrhythmia detection using deep convolutional neural network with long duration ECG signals.

Yıldırım Ö, Pławiak P, Tan RS, Acharya UR. Yıldırım Ö, et al. Comput Biol Med. 2018 Nov 1;102:411-420. doi: 10.1016/j.compbiomed.2018.09.009. Epub 2018 Sep 15. Comput Biol Med. 2018. PMID: 30245122

3

Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS.

Rzecki K, Sośnicki T, Baran M, Niedźwiecki M, Król M, Łojewski T, Acharya UR, Yildirim Ö, Pławiak P. Rzecki K, et al. Among authors: yildirim o. Sensors (Basel). 2018 Oct 29;18(11):3670. doi: 10.3390/s18113670. Sensors (Basel). 2018. PMID: 30380626 Free PMC article.

4

A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.

Yildirim O, Baloglu UB, Acharya UR. Yildirim O, et al. Int J Environ Res Public Health. 2019 Feb 19;16(4):599. doi: 10.3390/ijerph16040599. Int J Environ Res Public Health. 2019. PMID: 30791379 Free PMC article.

5

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals.

Ay B, Yildirim O, Talo M, Baloglu UB, Aydin G, Puthankattil SD, Acharya UR. Ay B, et al. Among authors: yildirim o. J Med Syst. 2019 May 28;43(7):205. doi: 10.1007/s10916-019-1345-y. J Med Syst. 2019. PMID: 31139932

6

A new approach for arrhythmia classification using deep coded features and LSTM networks.

Yildirim O, Baloglu UB, Tan RS, Ciaccio EJ, Acharya UR. Yildirim O, et al. Comput Methods Programs Biomed. 2019 Jul;176:121-133. doi: 10.1016/j.cmpb.2019.05.004. Epub 2019 May 10. Comput Methods Programs Biomed. 2019. PMID: 31200900

7

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals.

Yildirim O, Talo M, Ay B, Baloglu UB, Aydin G, Acharya UR. Yildirim O, et al. Comput Biol Med. 2019 Oct;113:103387. doi: 10.1016/j.compbiomed.2019.103387. Epub 2019 Aug 9. Comput Biol Med. 2019. PMID: 31421276

8

Convolutional neural networks for multi-class brain disease detection using MRI images.

Talo M, Yildirim O, Baloglu UB, Aydin G, Acharya UR. Talo M, et al. Among authors: yildirim o. Comput Med Imaging Graph. 2019 Dec;78:101673. doi: 10.1016/j.compmedimag.2019.101673. Epub 2019 Oct 10. Comput Med Imaging Graph. 2019. PMID: 31635910

9

1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals.

Butun E, Yildirim O, Talo M, Tan RS, Rajendra Acharya U. Butun E, et al. Among authors: yildirim o. Phys Med. 2020 Feb;70:39-48. doi: 10.1016/j.ejmp.2020.01.007. Epub 2020 Jan 18. Phys Med. 2020. PMID: 31962284

10

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review.

Murat F, Yildirim O, Talo M, Baloglu UB, Demir Y, Acharya UR. Murat F, et al. Among authors: yildirim o. Comput Biol Med. 2020 May;120:103726. doi: 10.1016/j.compbiomed.2020.103726. Epub 2020 Apr 8. Comput Biol Med. 2020. PMID: 32421643 Review.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

376 results

Search Page

Filters