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» Authors » Ulas Baran Baloglu

Ulas Baran Baloglu

Explore the profile of Ulas Baran Baloglu including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 1052
Followers 0
Related Specialties
Medical Informatics
General Medicine
Biology
Top 10 Co-Authors
U Rajendra Acharya
Ozal Yildirim
Muhammed Talo
Galip Aydin
Betul Ay
Edward J Ciaccio
Fatma Murat
Subha D Puthankattil
Ru-San Tan
Eylul Azra Yildirim
Published In
Comput Biol Med
Int J Environ Res Public Health
J Med Syst
Comput Med Imaging Graph
Comput Methods Programs Biomed
Affiliations
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Recent Articles
1.
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Ozturk T, Talo M, Yildirim E, Baloglu U, Yildirim O, Rajendra Acharya U
Comput Biol Med . 2020 Jun; 121:103792. PMID: 32568675
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating...
2.
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Murat F, Yildirim O, Talo M, Baloglu U, Demir Y, Rajendra Acharya U
Comput Biol Med . 2020 May; 120:103726. PMID: 32421643
Deep learning models have become a popular mode to classify electrocardiogram (ECG) data. Investigators have used a variety of deep learning techniques for this application. Herein, a detailed examination of...
3.
Convolutional neural networks for multi-class brain disease detection using MRI images
Talo M, Yildirim O, Baloglu U, Aydin G, Rajendra Acharya U
Comput Med Imaging Graph . 2019 Oct; 78:101673. PMID: 31635910
The brain disorders may cause loss of some critical functions such as thinking, speech, and movement. So, the early detection of brain diseases may help to get the timely best...
4.
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 U, Aydin G, Rajendra Acharya U
Comput Biol Med . 2019 Aug; 113:103387. PMID: 31421276
In this study, a deep-transfer learning approach is proposed for the automated diagnosis of diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram (ECG) data. Recent progress in...
5.
A new approach for arrhythmia classification using deep coded features and LSTM networks
Yildirim O, Baloglu U, Tan R, Ciaccio E, Rajendra Acharya U
Comput Methods Programs Biomed . 2019 Jun; 176:121-133. PMID: 31200900
Background And Objective: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as...
6.
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
Ay B, Yildirim O, Talo M, Baloglu U, Aydin G, Puthankattil S, et al.
J Med Syst . 2019 May; 43(7):205. PMID: 31139932
Depression affects large number of people across the world today and it is considered as the global problem. It is a mood disorder which can be detected using electroencephalogram (EEG)...
7.
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals
Yildirim O, Baloglu U, Rajendra Acharya U
Int J Environ Res Public Health . 2019 Feb; 16(4). PMID: 30791379
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG)...