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Items: 1 to 20 of 176

1.

Machine learning-based coronary artery disease diagnosis: A comprehensive review.

Alizadehsani R, Abdar M, Roshanzamir M, Khosravi A, Kebria PM, Khozeimeh F, Nahavandi S, Sarrafzadegan N, Acharya UR.

Comput Biol Med. 2019 Jul 4;111:103346. doi: 10.1016/j.compbiomed.2019.103346. [Epub ahead of print] Review.

PMID:
31288140
2.

Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features.

Paul JK, Iype T, R D, Hagiwara Y, Koh JW, Acharya UR.

Comput Biol Med. 2019 Jun 18;111:103331. doi: 10.1016/j.compbiomed.2019.103331. [Epub ahead of print]

PMID:
31284155
3.

A review of automated sleep stage scoring based on physiological signals for the new millennia.

Faust O, Razaghi H, Barika R, Ciaccio EJ, Acharya UR.

Comput Methods Programs Biomed. 2019 Jul;176:81-91. doi: 10.1016/j.cmpb.2019.04.032. Epub 2019 May 2. Review.

PMID:
31200914
4.

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

Yildirim O, Baloglu UB, Tan RS, Ciaccio EJ, Acharya UR.

Comput Methods Programs Biomed. 2019 Jul;176:121-133. doi: 10.1016/j.cmpb.2019.05.004. Epub 2019 May 10.

PMID:
31200900
5.

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.

Abdar M, Wijayaningrum VN, Hussain S, Alizadehsani R, Plawiak P, Acharya UR, Makarenkov V.

J Med Syst. 2019 Jun 7;43(7):220. doi: 10.1007/s10916-019-1343-0.

PMID:
31175462
6.

Computer-aided diagnosis of congestive heart failure using ECG signals - A review.

Jahmunah V, Oh SL, Wei JKE, Ciaccio EJ, Chua K, San TR, Acharya UR.

Phys Med. 2019 Jun;62:95-104. doi: 10.1016/j.ejmp.2019.05.004. Epub 2019 May 10. Review.

PMID:
31153403
7.

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.

J Med Syst. 2019 May 28;43(7):205. doi: 10.1007/s10916-019-1345-y.

PMID:
31139932
8.

Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation.

Acharya UR, Faust O, Ciaccio EJ, Koh JEW, Oh SL, Tan RS, Garan H.

Comput Methods Programs Biomed. 2019 Jul;175:163-178. doi: 10.1016/j.cmpb.2019.04.018. Epub 2019 Apr 18.

PMID:
31104705
9.

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach.

Mousavi S, Afghah F, Acharya UR.

PLoS One. 2019 May 7;14(5):e0216456. doi: 10.1371/journal.pone.0216456. eCollection 2019.

10.

Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors.

Vicnesh J, Wei JKE, Ciaccio EJ, Oh SL, Bhagat G, Lewis SK, Green PH, Acharya UR.

J Med Syst. 2019 Apr 26;43(6):157. doi: 10.1007/s10916-019-1285-6.

PMID:
31028562
11.

Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals.

Viswabhargav CSS, Tripathy RK, Acharya UR.

Comput Biol Med. 2019 May;108:20-30. doi: 10.1016/j.compbiomed.2019.03.016. Epub 2019 Mar 26.

PMID:
31003176
12.

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

Yildirim O, Baloglu UB, Acharya UR.

Int J Environ Res Public Health. 2019 Feb 19;16(4). pii: E599. doi: 10.3390/ijerph16040599.

13.

Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals.

Michielli N, Acharya UR, Molinari F.

Comput Biol Med. 2019 Mar;106:71-81. doi: 10.1016/j.compbiomed.2019.01.013. Epub 2019 Jan 19.

PMID:
30685634
14.

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.

Oh SL, Ng EYK, Tan RS, Acharya UR.

Comput Biol Med. 2019 Feb;105:92-101. doi: 10.1016/j.compbiomed.2018.12.012. Epub 2018 Dec 20.

PMID:
30599317
15.

Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques.

Maheshwari S, Kanhangad V, Pachori RB, Bhandary SV, Acharya UR.

Comput Biol Med. 2019 Feb;105:72-80. doi: 10.1016/j.compbiomed.2018.11.028. Epub 2018 Dec 5.

PMID:
30590290
16.

Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features.

Acharya UR, Raghavendra U, Koh JEW, Meiburger KM, Ciaccio EJ, Hagiwara Y, Molinari F, Leong WL, Vijayananthan A, Yaakup NA, Fabell MKBM, Yeong CH.

Comput Methods Programs Biomed. 2018 Nov;166:91-98. doi: 10.1016/j.cmpb.2018.10.006. Epub 2018 Oct 2.

PMID:
30415722
17.

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.

Sensors (Basel). 2018 Oct 29;18(11). pii: E3670. doi: 10.3390/s18113670.

18.

Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images.

Subudhi A, Acharya UR, Dash M, Jena S, Sabut S.

Comput Biol Med. 2018 Dec 1;103:116-129. doi: 10.1016/j.compbiomed.2018.10.016. Epub 2018 Oct 16.

PMID:
30359807
19.

Computer-aided diagnosis of glaucoma using fundus images: A review.

Hagiwara Y, Koh JEW, Tan JH, Bhandary SV, Laude A, Ciaccio EJ, Tong L, Acharya UR.

Comput Methods Programs Biomed. 2018 Oct;165:1-12. doi: 10.1016/j.cmpb.2018.07.012. Epub 2018 Jul 26. Review.

PMID:
30337064
20.

Automated seizure prediction.

Acharya UR, Hagiwara Y, Adeli H.

Epilepsy Behav. 2018 Nov;88:251-261. doi: 10.1016/j.yebeh.2018.09.030. Epub 2018 Oct 11. Review.

PMID:
30317059

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