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Items: 1 to 20 of 188

1.

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders.

Raghavendra U, Acharya UR, Adeli H.

Eur Neurol. 2019 Nov 19:1-24. doi: 10.1159/000504292. [Epub ahead of print] Review.

2.

Automated detection of glaucoma using optical coherence tomography angiogram images.

Chan YM, Ng EYK, Jahmunah V, Wei Koh JE, Lih OS, Wei Leon LY, Acharya UR.

Comput Biol Med. 2019 Dec;115:103483. doi: 10.1016/j.compbiomed.2019.103483. Epub 2019 Oct 10.

PMID:
31698235
3.

Hypertension Diagnosis Index for Discrimination of High-Risk Hypertension ECG Signals Using Optimal Orthogonal Wavelet Filter Bank.

Rajput JS, Sharma M, Acharya UR.

Int J Environ Res Public Health. 2019 Oct 23;16(21). pii: E4068. doi: 10.3390/ijerph16214068.

4.

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

Talo M, Yildirim O, Baloglu UB, Aydin G, Acharya UR.

Comput Med Imaging Graph. 2019 Dec;78:101673. doi: 10.1016/j.compmedimag.2019.101673. Epub 2019 Oct 10.

PMID:
31635910
5.

Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features.

Sharma M, Singh S, Kumar A, San Tan R, Acharya UR.

Comput Biol Med. 2019 Dec;115:103446. doi: 10.1016/j.compbiomed.2019.103446. Epub 2019 Sep 18.

PMID:
31627019
6.

Automated detection of schizophrenia using nonlinear signal processing methods.

Jahmunah V, Lih Oh S, Rajinikanth V, Ciaccio EJ, Hao Cheong K, Arunkumar N, Acharya UR.

Artif Intell Med. 2019 Sep;100:101698. doi: 10.1016/j.artmed.2019.07.006. Epub 2019 Jul 20.

PMID:
31607349
7.

Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities.

Nayak DR, Dash R, Majhi B, Acharya UR.

Comput Med Imaging Graph. 2019 Oct;77:101656. doi: 10.1016/j.compmedimag.2019.101656. Epub 2019 Sep 26.

PMID:
31563069
8.

A new machine learning technique for an accurate diagnosis of coronary artery disease.

Abdar M, Książek W, Acharya UR, Tan RS, Makarenkov V, Pławiak P.

Comput Methods Programs Biomed. 2019 Oct;179:104992. doi: 10.1016/j.cmpb.2019.104992. Epub 2019 Jul 24.

PMID:
31443858
9.

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.

Comput Biol Med. 2019 Oct;113:103387. doi: 10.1016/j.compbiomed.2019.103387. Epub 2019 Aug 9.

PMID:
31421276
10.

Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.

Ciaccio EJ, Wan EY, Saluja DS, Acharya UR, Peters NS, Garan H.

Comput Methods Programs Biomed. 2019 Sep;178:113-122. doi: 10.1016/j.cmpb.2019.06.017. Epub 2019 Jun 15. Review.

PMID:
31416540
11.

Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques.

Acharya UR, Fernandes SL, WeiKoh JE, Ciaccio EJ, Fabell MKM, Tanik UJ, Rajinikanth V, Yeong CH.

J Med Syst. 2019 Aug 9;43(9):302. doi: 10.1007/s10916-019-1428-9.

PMID:
31396722
12.

A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images.

Raghavendra U, Gudigar A, Bhandary SV, Rao TN, Ciaccio EJ, Acharya UR.

J Med Syst. 2019 Jul 30;43(9):299. doi: 10.1007/s10916-019-1427-x.

PMID:
31359230
13.

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 Aug;111:103346. doi: 10.1016/j.compbiomed.2019.103346. Epub 2019 Jul 4. Review.

PMID:
31288140
14.

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 Aug;111:103331. doi: 10.1016/j.compbiomed.2019.103331. Epub 2019 Jun 18.

PMID:
31284155
15.

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
16.

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
17.

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
18.

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
19.

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
20.

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

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