Browsing by Author "Kiranyaz, Serkan"
Now showing items 21-40 of 59
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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Tawsifur, Rahman; Khandakar, Amith; Qiblawey, Yazan; Tahir, Anas; Kiranyaz, Serkan; Abul Kashem, Saad Bin; Islam, Mohammad Tariqul; Al Maadeed, Somaya; Zughaier, Susu M.; Khan, Muhammad Salman; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2021 , Article)Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ... -
Extended quantum cuts for unsupervised salient object extraction
Aytekin, Caglar; Ozan, Ezgi Can; Kiranyaz, Serkan; Gabbouj , Moncef ( Springer New York LLC , 2017 , Article)In this manuscript, an unsupervised salient object extraction algorithm is proposed for RGB and RGB-Depth images. Saliency estimation is formulated as a foreground detection problem. To this end, Quantum-Cuts (QCUT), a ... -
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
Mrad, Ilyes; Samara, Lutfi; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan... more authors ... less authors ( IEEE , 2022 , Conference Paper)Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ... -
Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography
Hamila, Oumaima; Ramanna, Sheela; Henry, Christopher J.; Kiranyaz, Serkan; Hamila, Ridha; Mazhar, Rashid; Hamid, Tahir... more authors ... less authors ( Springer , 2022 , Article)Myocardial infarction (MI) is a life-threatening disorder that occurs due to a prolonged limitation of blood supply to the heart muscles, and which requires an immediate diagnosis to prevent death. To detect MI, cardiologists ... -
Generalized model of biological neural networks: Progressive operational perceptrons
Kiranyaz, Serkan; Ince, Turker; Iosifidis, Alexandros; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Traditional Artificial Neural Networks (ANNs) such as Multi-Layer Perceptrons (MLPs) and Radial Basis Functions (RBFs) were designed to simulate biological neural networks -
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
Zahid, Muhammad Uzair; Kiranyaz, Serkan; Gabbouj, Moncef ( IEEE Computer Society , 2023 , Article)Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ... -
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
Zabihi, Morteza; Rad, Ali Bahrami; Kiranyaz, Serkan; Gabbouj, Moncef; Katsaggelos, Aggelos K. ( IEEE Computer Society , 2016 , Conference Paper)Phonocardiogram (PCG) signal is used as a diagnostic test in ambulatory monitoring in order to evaluate the heart hemodynamic status and to detect a cardiovascular disease. The objective of this study is to develop an ... -
Improved Domain Adaptation Approach for Bearing Fault Diagnosis
Ince, Turker; Kilickaya, Sertac; Eren, Levent; Devecioglu, Ozer Can; Kiranyaz, Serkan; Gabbouj, Moncef... more authors ... less authors ( IEEE Computer Society , 2022 , Conference Paper)Application of domain adaptation techniques to predictive maintenance of modern electric rotating machinery (RM) has significant potential with the goal of transferring or adaptation of a fault diagnosis model developed ... -
Joint K-Means quantization for Approximate Nearest Neighbor Search
Ozan, Ezgi Can; Kiranyaz, Serkan; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Recently, Approximate Nearest Neighbor (ANN) Search has become a very popular approach for similarity search on large-scale datasets. In this paper, we propose a novel vector quantization method for ANN, which introduces ... -
Learning graph affinities for spectral graph-based salient object detection
Aytekin, Caglar Caglar; Iosifidis, Alexandros; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier Ltd , 2017 , Article)In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ... -
Learning to rank salient segments extracted by multispectral Quantum Cuts
Aytekin, Çağlar; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier B.V. , 2016 , Article)and third, multispectral approach is followed to generate multiple proposals instead of a single proposal as in Quantum Cuts. The proposed learn-to-rank algorithm is then applied to these multiple proposals in order to ... -
Limited random walk algorithm for big graph data clustering
Zhang, Honglei; Raitoharju, Jenni; Kiranyaz, Serkan; Gabbouj, Moncef ( SpringerOpen , 2016 , Article)Graph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method restricts the ... -
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
Haque, Fahmida; Reaz, Mamun B.; Chowdhury, Muhammad E.; Ezeddin, Maymouna; Kiranyaz, Serkan; Alhatou, Mohammed; Ali, Sawal H.; Bakar, Ahmad A.; Srivastava, Geetika... more authors ... less authors ( MDPI , 2022 , Article)Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that ... -
Medical image analysis
Degerli, Aysen; Yamac, Mehmet; Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier , 2022 , Book chapter)This chapter presents deep learning methodologies for medical imaging tasks. The chapter starts with echocardiography for early detection of myocardial infarction (MI) or commonly known as heart attack. Early and fundamental ... -
ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
Khan, Muhammad Asif; Hamila, Ridha; Gastli, Adel; Kiranyaz, Serkan; Al-Emadi, Nasser Ahmed ( Springer , 2022 , Article)Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related to device mobility are handover prediction and access point selection. Due to the complex nature of the radio environment, ... -
Motion Artifacts Correction from EEG and fNIRS Signals Using Novel Multiresolution Analysis
Hossain, Md. Shafayet; Reaz, Mamun Bin Ibne; Chowdhury, Muhammad E. H.; Ali, Sawal H. M.; Bakar, Ahmad Ashrif A.; Kiranyaz, Serkan; Khandakar, Amith; Alhatou, Mohammed; Habib, Rumana... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Physiological signal measurement and processing are increasingly becoming popular in the ambulatory setting as the hospital-centric treatment is moving towards wearable and ubiquitous monitoring. Most of the physiological ... -
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
Hossain, Md S.; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Bakar, Ahmad Ashrif A.; Kiranyaz, Serkan; Khandakar, Amith; Alhatou, Mohammed; Habib, Rumana; Hossain, Muhammad M.... more authors ... less authors ( MDPI , 2022 , Article)The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded using wearable sensors. Since successful ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
Promit, Basak; Nazmus Sakib, A.H.M; Chowdhury, Muhammad E.H.; Al-Emadi, Nasser; Cagatay Yalcin, Huseyin; Pedersen, Shona; Mahmud, Sakib; Kiranyaz, Serkan; Al-Maadeed, Somaya... more authors ... less authors ( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using genetic algorithms
Abdeljaber, Osama; Avci, Onur; Kiranyaz, Serkan; Inmanc, Daniel J. ( Academic Press , 2017 , Article)Vibration suppression remains a crucial issue in the design of structures and machines. Recent studies have shown that with the use of metamaterial inspired structures (or metastructures), considerable vibration attenuation ... -
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
Degerli, Aysen; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef ( IEEE , 2022 , Conference Paper)Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...