Unsupervised Image Segmentation Using Markov Random Fields. - Abdulkadir Sengür; Ibrahim Türkoglu; M. Cevdet Ince (TAINN, 2005)

Comparison of clustering algorithms for analog modulation classification. - Hanifi Güldemir; Abdulkadir Sengür (Expert Syst. Appl., 2006)

Online modulation recognition of analog communication signals using neural network. - Hanifi Güldemir; Abdulkadir Sengür (Expert Syst. Appl., 2007)

Wavelet packet neural networks for texture classification. - Abdulkadir Sengür; Ibrahim Türkoglu; M. Cevdet Ince (Expert Syst. Appl., 2007)

An expert system based on principal component analysis, artificial immune system and fuzzy k-NN for diagnosis of valvular heart diseases. - Abdulkadir Sengür (Comput. Biol. Medicine, 2008)

A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images. - Esin Dogantekin; Mustafa Yilmaz; Akif Dogantekin; Engin Avci; Abdulkadir Sengür (Expert Syst. Appl., 2008)

Performance prediction of a ground-coupled heat pump system using artificial neural networks. - Hikmet Esen; Mustafa Inalli; Abdulkadir Sengür; Mehmet Esen (Expert Syst. Appl., 2008)

Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification. - Abdulkadir Sengür (Expert Syst. Appl., 2008)

An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases. - Abdulkadir Sengür (Expert Syst. Appl., 2008)

A hybrid method based on artificial immune system and fuzzy k-NN algorithm for diagnosis of heart valve diseases. - Abdulkadir Sengür; Ibrahim Türkoglu (Expert Syst. Appl., 2008)

Diagnosis of valvular heart disease through neural networks ensembles. - Resul Das; Ibrahim Türkoglu; Abdulkadir Sengür (Comput. Methods Programs Biomed., 2009)

Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k-NN algorithm. - Abdulkadir Sengür (Digit. Signal Process., 2009)

An optimum feature extraction method for texture classification. - Engin Avci; Abdulkadir Sengür; Davut Hanbay (Expert Syst. Appl., 2009)

Effective diagnosis of heart disease through neural networks ensembles. - Resul Das; Ibrahim Türkoglu; Abdulkadir Sengür (Expert Syst. Appl., 2009)

Modelling of a new solar air heater through least-squares support vector machines. - Hikmet Esen; Filiz Ozgen; Mehmet Esen; Abdulkadir Sengür (Expert Syst. Appl., 2009)

Artificial neural network and wavelet neural network approaches for modelling of a solar air heater. - Hikmet Esen; Filiz Ozgen; Mehmet Esen; Abdulkadir Sengür (Expert Syst. Appl., 2009)

Multiclass least-squares support vector machines for analog modulation classification. - Abdulkadir Sengür (Expert Syst. Appl., 2009)

Evaluation of ensemble methods for diagnosing of valvular heart disease. - Resul Das; Abdulkadir Sengür (Expert Syst. Appl., 2010)

Investigation of complex modulus of base and SBS modified bitumen with artificial neural networks. - Baha Vural Kok; Mehmet Yilmaz; Burak Sengoz; Abdulkadir Sengür; Engin Avci (Expert Syst. Appl., 2010)

Wavelet domain association rules for efficient texture classification. - Murat Karabatak; M. Cevdet Ince; Abdulkadir Sengür (Appl. Soft Comput., 2011)

Color texture image segmentation based on neutrosophic set and wavelet transformation. - Abdulkadir Sengür; Yanhui Guo 001 (Comput. Vis. Image Underst., 2011)

Investigation of complex modulus of base and EVA modified bitumen with Adaptive-Network-Based Fuzzy Inference System. - Mehmet Yilmaz; Baha Vural Kok; Burak Sengoz; Abdulkadir Sengür; Engin Avci (Expert Syst. Appl., 2011)

Support Vector Machine Ensembles for Intelligent Diagnosis of Valvular Heart Disease. - Abdulkadir Sengür (J. Medical Syst., 2012)

Denoising of weak ECG signals by using wavelet analysis and fuzzy thresholding. - Mehmet Üstündag; Muammer Gökbulut; Abdulkadir Sengür; Fikret Ata (Netw. Model. Anal. Health Informatics Bioinform., 2012)

A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy c-Means. - Yanhui Guo 001; Abdulkadir Sengür (Circuits Syst. Signal Process., 2013)

Modified neutrosophic approach to color image segmentation. - Ebru Karabatak; Yanhui Guo 001; Abdulkadir Sengür (J. Electronic Imaging, 2013)

A novel image segmentation algorithm based on neutrosophic similarity clustering. - Yanhui Guo 001; Abdulkadir Sengür (Appl. Soft Comput., 2014)

A novel image edge detection algorithm based on neutrosophic set. - Yanhui Guo 001; Abdulkadir Sengür (Comput. Electr. Eng., 2014)

Iterative hard thresholding based Extreme Learning Machine. - Ömer Faruk Alcin; Ali Ari; Abdulkadir Sengür; Melih Cevdet Ince (SIU, 2015)

Fall detection with depth-videos. - Muzaffer Aslan; Ömer Faruk Alçin; Abdulkadir Sengür; Melih Cevdet Ince (SIU, 2015)

Texture classification using scale invariant feature transform and Bag-of-Words. - Ümit Budak; Abdulkadir Sengür (SIU, 2015)

Hand gesture recognition from kinect depth images. - Zeynep Yeloglu; Yaman Akbulut; Ümit Budak; Abdulkadir Sengür (SIU, 2015)

Shape feature encoding via Fisher Vector for efficient fall detection in depth-videos. - Muzaffer Aslan; Abdulkadir Sengür; Yang Xiao 007; Haibo Wang; M. Cevdet Ince; Xin Ma 001 (Appl. Soft Comput., 2015)

A novel 3D skeleton algorithm based on neutrosophic cost function. - Yanhui Guo 001; Abdulkadir Sengür (Appl. Soft Comput., 2015)

OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression. - Omer F. Alcin; Abdulkadir Sengür; Jiang Qian; Melih Cevdet Ince (J. Intell. Syst., 2015)

A Novel Edge Detection Algorithm Based on Texture Feature Coding. - Abdulkadir Sengür; Yanhui Guo 001; Mehmet Üstündag; Ömer Faruk Alcin (J. Intell. Syst., 2015)

NECM: Neutrosophic evidential c-means clustering algorithm. - Yanhui Guo 001; Abdulkadir Sengür (Neural Comput. Appl., 2015)

NCM: Neutrosophic c-means clustering algorithm. - Yanhui Guo 001; Abdulkadir Sengür (Pattern Recognit., 2015)

Time-frequency texture descriptors of EEG signals for efficient detection of epileptic seizure. - Abdulkadir Sengür; Yanhui Guo 001; Yaman Akbulut (Brain Informatics, 2016)

A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. - Yanhui Guo 001; Abdulkadir Sengür; Jiawei Tian (Comput. Methods Programs Biomed., 2016)

Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method. - Ömer Faruk Alçin; Siuly Siuly; Varun Bajaj; Yanhui Guo 001; Abdulkadir Sengür; Yanchun Zhang (Neurocomputing, 2016)

Efficient Airport Detection Using Line Segment Detector and Fisher Vector Representation. - Ümit Budak; Ugur Halici; Abdulkadir Sengür; Murat Karabatak; Yang Xiao 007 (IEEE Geosci. Remote. Sens. Lett., 2016)

KNCM: Kernel Neutrosophic c-Means Clustering. - Yaman Akbulut; Abdulkadir Sengür; Yanhui Guo 001; Kemal Polat (Appl. Soft Comput., 2017)

Neutrosophic Hough Transform. - Ümit Budak; Yanhui Guo 001; Abdulkadir Sengür; Florentin Smarandache (Axioms, 2017)

A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm. - Ümit Budak; Abdulkadir Sengür; Yanhui Guo 001; Yaman Akbulut (Health Inf. Sci. Syst., 2017)

Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video. - Yanhui Guo 001; Shuang-Quan Jiang; Baiqing Sun; Siuly Siuly; Abdulkadir Sengür; Jiawei Tian (Health Inf. Sci. Syst., 2017)

Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. - Abdulkadir Sengür; Yaman Akbulut; Yanhui Guo 001; Varun Bajaj (Health Inf. Sci. Syst., 2017)

A hybrid method based on time-frequency images for classification of alcohol and control EEG signals. - Varun Bajaj; Yanhui Guo 001; Abdulkadir Sengür; Siuly Siuly; Omer F. Alcin (Neural Comput. Appl., 2017)

A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. - Yaman Akbulut; Abdulkadir Sengür; Yanhui Guo 001; Florentin Smarandache (Symmetry, 2017)

NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. - Yaman Akbulut; Abdulkadir Sengür; Yanhui Guo 001; Florentin Smarandache (Symmetry, 2017)

An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. - Yanhui Guo 001; Yaman Akbulut; Abdulkadir Sengür; Rong Xia; Florentin Smarandache (Symmetry, 2017)

A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images. - Yanhui Guo 001; Ümit Budak; Abdulkadir Sengür; Florentin Smarandache (Symmetry, 2017)

Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. - Erdem Akagündüz; Muzaffer Aslan; Abdulkadir Sengür; Haibo Wang; Melih Cevdet Ince (IEEE J. Biomed. Health Informatics, 2017)

Low Level Texture Features for Snore Sound Discrimination. - Fatih Demir; Abdulkadir Sengür; Nicholas Cummins; Shahin Amiriparian; Björn W. Schuller (EMBC, 2018)

Deep End-to-End Representation Learning for Food Type Recognition from Speech. - Benjamin Sertolli; Nicholas Cummins; Abdulkadir Sengür; Björn W. Schuller (ICMI, 2018)

Deep convolutional neural networks for airport detection in remote sensing images. - Ümit Budak; Abdulkadir Sengür; Ugur Halici (SIU, 2018)

Optic disc determination in retinal images with deep features. - Abdulkadir Sengür; Beyza Nur Akilotu; Seda Arslan Tuncer; Zehra Kadiroglu; Semih Yavuzkilic; Ümit Budak; Erkan Deniz (SIU, 2018)

An effective color texture image segmentation algorithm based on hermite transform. - Yaman Akbulut; Yanhui Guo 001; Abdulkadir Sengür; Muzaffer Aslan (Appl. Soft Comput., 2018)

A novel retinal vessel detection approach based on multiple deep convolution neural networks. - Yanhui Guo 001; Ümit Budak; Abdulkadir Sengür (Comput. Methods Programs Biomed., 2018)

Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. - Varun Bajaj; Sachin Taran; Abdulkadir Sengür (Health Inf. Sci. Syst., 2018)

Transfer learning based histopathologic image classification for breast cancer detection. - Erkan Deniz; Abdulkadir Sengür; Zehra Kadiroglu; Yanhui Guo 001; Varun Bajaj; Ümit Budak (Health Inf. Sci. Syst., 2018)

Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. - Ümit Budak; Zafer Cömert; Zryan Najat Rashid; Abdulkadir Sengür; Musa Çibuk (Appl. Soft Comput., 2019)

Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. - Zafer Cömert; Abdulkadir Sengür; Ümit Budak; Adnan Fatih Kocamaz (Health Inf. Sci. Syst., 2019)

Towards the classification of heart sounds based on convolutional deep neural network. - Fatih Demir; Abdulkadir Sengür; Varun Bajaj; Kemal Polat (Health Inf. Sci. Syst., 2019)

An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals. - Siuly Siuly; Varun Bajaj; Abdulkadir Sengür; Yanchun Zhang (Int. J. Autom. Comput., 2019)

Computer-aided diagnosis of breast cancer using bi-dimensional empirical mode decomposition. - Varun Bajaj; Mayank Pawar; Vinod Kumar Meena; Mukesh Kumar; Abdulkadir Sengür; Yanhui Guo 001 (Neural Comput. Appl., 2019)

Surface EMG signals and deep transfer learning-based physical action classification. - Fatih Demir; Varun Bajaj; Melih Cevdet Ince; Sachin Taran; Abdulkadir Sengür (Neural Comput. Appl., 2019)

A New Deep CNN Model for Environmental Sound Classification. - Fatih Demir; Daban Abdulsalam Abdullah; Abdulkadir Sengür (IEEE Access, 2020)

Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure. - Fatih Demir; Aras Masood Ismael; Abdulkadir Sengür (IEEE Access, 2020)

Two-stepped majority voting for efficient EEG-based emotion classification. - Aras Masood Ismael; Ömer Faruk Alçin; Karmand Hussein Abdalla; Abdulkadir Sengür (Brain Informatics, 2020)

Cascaded deep learning-based efficient approach for license plate detection and recognition. - Naaman Omar; Abdulkadir Sengür; Salim Ganim Saeed Al-Ali (Expert Syst. Appl., 2020)

Local feature descriptors based ECG beat classification. - Daban Abdulsalam Abdullah; Muhammed Halil Akpinar; Abdulkadir Sengür (Health Inf. Sci. Syst., 2020)

Convolutional neural networks based efficient approach for classification of lung diseases. - Fatih Demir; Abdulkadir Sengür; Varun Bajaj (Health Inf. Sci. Syst., 2020)

The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection. - Aras Masood Ismael; Abdulkadir Sengür (Health Inf. Sci. Syst., 2020)

Feature Mapping and Deep Long Short Term Memory Network-Based Efficient Approach for Parkinson's Disease Diagnosis. - Fatih Demir; Abdulkadir Sengür; Ali Ari; Kamran Siddique; Mohammed Alswaitti (IEEE Access, 2021)

Deep rhythm and long short term memory-based drowsiness detection. - Muammer Turkoglu; Omer F. Alcin; Muzaffer Aslan; Adel Al-Zebari; Abdulkadir Sengür (Biomed. Signal Process. Control., 2021)

Machine learning methods for cyber security intrusion detection: Datasets and comparative study. - Ilhan Firat Kilincer; Fatih Ertam; Abdulkadir Sengür (Comput. Networks, 2021)

Deep learning approaches for COVID-19 detection based on chest X-ray images. - Aras Masood Ismael; Abdulkadir Sengür (Expert Syst. Appl., 2021)

Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism. - Ümit Budak; Musa Çibuk; Zafer Cömert; Abdulkadir Sengür (J. Digit. Imaging, 2021)

Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models. - Semih Yavuzkilic; Abdulkadir Sengür; Zahid Akhtar; Kamran Siddique (Symmetry, 2021)

Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings. - Berna Ari; Kamran Siddique; Ömer Faruk Alçin; Muzaffer Aslan; Abdulkadir Sengür; Raja Majid Mehmood (IEEE Access, 2022)

Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network. - Andac Imak; Adalet Çelebi; Kamran Siddique; Muammer Turkoglu; Abdulkadir Sengür; Iftekhar Salam (IEEE Access, 2022)

Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals. - Berna Ari; Nebras Sobahi; Ömer Faruk Alçin; Abdulkadir Sengür; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection. - Nebras Sobahi; Abdulkadir Sengür; Ru-San Tan; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

A comprehensive intrusion detection framework using boosting algorithms. - Ilhan Firat Kilincer; Fatih Ertam; Abdulkadir Sengür (Comput. Electr. Eng., 2022)

A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks. - Hüseyin Polat 002; Muammer Türkoglu; Onur Polat; Abdulkadir Sengür (Expert Syst. Appl., 2022)

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset. - Erkan Deniz; Nebras Sobahi; Naaman Omar; Abdulkadir Sengür; U. Rajendra Acharya (Health Inf. Sci. Syst., 2022)

COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. - Tawsifur Rahman; Alex Akinbi; Muhammad Enamul Hoque Chowdhury; Tarik A. Rashid; Abdulkadir Sengür; Amith Khandakar; Khandaker Reajul Islam; Aras Masood Ismael (Health Inf. Sci. Syst., 2022)

Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests. - Muammer Turkoglu; Davut Hanbay; Abdulkadir Sengür (J. Ambient Intell. Humaniz. Comput., 2022)

DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach. - Fatih Demir; Kürsat Demir; Abdulkadir Sengür (New Gener. Comput., 2022)

Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features. - Andac Imak; Adalet Çelebi; Muammer Türkoglu; Abdulkadir Sengür (Neural Process. Lett., 2022)

An automated internet of behavior detection method based on feature selection and multiple pooling using network data. - Ilhan Firat Kilincer; Turker Tuncer; Fatih Ertam; Abdulkadir Sengür (Multim. Tools Appl., 2023)

SPA-IDS: An intelligent intrusion detection system based on vertical mode decomposition and iterative feature selection in computer networks. - Ilhan Firat Kilincer; Turker Tuncer; Fatih Ertam; Abdulkadir Sengür (Microprocess. Microsystems, 2023)

An adaptive multilevel thresholding method with chaotically-enhanced Rao algorithm. - Yagmur Olmez; Abdulkadir Sengür; Gonca Ozmen Koca; Ravipudi Venkata Rao (Multim. Tools Appl., 2023)

Application of novel DIRF feature selection algorithm for automated brain disease detection. - Süleyman Yaman; Elif Isilay Ünlü; Hasan Güler; Abdulkadir Sengür; U. Rajendra Acharya (Biomed. Signal Process. Control., 2023)

Multilevel image thresholding based on Renyi's entropy and golden sinus algorithm II. - Yagmur Olmez; Gonca Ozmen Koca; Erkan Tanyildizi; Abdulkadir Sengür (Neural Comput. Appl., 2023)

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals. - Orhan Atila; Erkan Deniz; Ali Ari; Abdulkadir Sengür; Subrata Chakraborty; Prabal Datta Barua; U. Rajendra Acharya (Sensors, 2023)

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals. - Yagmur Olmez; Gonca Ozmen Koca; Abdulkadir Sengür; U. Rajendra Acharya (Health Inf. Sci. Syst., 2023)

A Multi-Input Convolutional Neural Networks Model for Earthquake Precursor Detection Based on Ionospheric Total Electron Content. - Hakan Uyanik; Erman Sentürk; Muhammed Halil Akpinar; Salih Taha Alperen Özçelik; Mehmet Kokum; Mohamed Freeshah; Abdulkadir Sengür (Remote. Sens., 2023)

Accurate Segmentation of Brain Tumors in Magnetic Resonance Images with Pyramid Stage Decomposition Network Approach. - Berna Gürler Ari; Hüseyin Üzen; Abdulkadir Sengür (SIU, 2024)

Detection of Autism Spectrum Disorders from EEG Signals using Multi-Input One-Dimensional Convolutional Neural Networks. - Bilal Karakaya; Abdulkadir Sengür (SIU, 2024)

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation. - Yagmur Olmez; Gonca Ozmen Koca; Abdulkadir Sengür; U. Rajendra Acharya; Hasan Saeed Mir (IEEE Access, 2024)

Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm. - Mehmet Yilmaz; Erkut Yalçin; Saif Kifah; Fatih Demir; Abdulkadir Sengür; Rozerin Demir; Raja Majid Mehmood (IEEE Access, 2024)

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023). - Muhammed Halil Akpinar; Abdulkadir Sengür; Oliver Faust; Louis Tong; Filippo Molinari; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2024)

Swin transformer-based fork architecture for automated breast tumor classification. - Hüseyin Üzen; Hüseyin Firat; Orhan Atila; Abdulkadir Sengür (Expert Syst. Appl., 2024)

ConvNext Mixer-Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images. - Hüseyin Firat; Hüseyin Üzen; Davut Hanbay; Abdulkadir Sengür (Int. J. Imaging Syst. Technol., 2024)

A new hybrid approach for grapevine leaves recognition based on ESRGAN data augmentation and GASVM feature selection. - Gürkan Dogan; Andac Imak; Burhan Ergen; Abdulkadir Sengür (Neural Comput. Appl., 2024)

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Ravinesh C. Deo; Abdul Hafeez-Baig; Tracy Kolbe-Alexander; Niranjana Sampathila; U. Rajendra Acharya (IEEE Access, 2025)

Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Abdul Hafeez-Baig; Ru-San Tan; Prabal Datta Barua; Ravinesh C. Deo; Makiko Kobayashi; U. Rajendra Acharya (IEEE Access, 2025)

A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography. - Sule Erdem; Suheda Erdem; Muammer Turkoglu; Abdulkadir Sengür; Nebras Sobahi (IEEE Access, 2025)

Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet. - Salih Taha Alperen Özçelik; Hüseyin Üzen; Abdulkadir Sengür; Muammer Türkoglu; Adalet Çelebi; Nebras Sobahi (IEEE Access, 2025)

Seismic Foresight: A Novel Multi-Input 1D Convolutional Mixer Model for Earthquake Prediction Using Ionospheric Signals. - Hakan Uyanik; Mehmet Kokum; Erman Sentürk; Mohamed Freeshah; Salih Taha Alperen Özçelik; Muhammed Halil Akpinar; Serenay Celik; Abdulkadir Sengür (IEEE Access, 2025)

MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns. - Süleyman Yaman; Hasan Güler; Abdulkadir Sengür; Abdul Hafeez-Baig; U. Rajendra Acharya (Biomed. Signal Process. Control., 2025)

Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024). - Süleyman Yaman; Özkan Aslan; Hasan Güler; Abdulkadir Sengür; Abdul Hafeez-Baig; Ru-San Tan; Ravinesh C. Deo; Prabal Datta Barua; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2025)

A novel complexity reduction technique using visibility relationship and perpendicular distance recursive refinement for physiological signals. - Orhan Atila; Muhammed Halil Akpinar; Abdulkadir Sengür; U. Rajendra Acharya (Commun. Nonlinear Sci. Numer. Simul., 2025)

Speech signal-based accurate neurological disorders detection using convolutional neural network and recurrent neural network based deep network. - Emel Soylu; Sema Gül; Kübra Aslan Koca; Muammer Türkoglu; Murat Terzi; Abdulkadir Sengür (Eng. Appl. Artif. Intell., 2025)

Using Hybrid Transformer and Convolutional Neural Network for Malware Detection in Internet of Things. - Yanhui Guo 001; Chunlai Du; Zelal Mustafaoglu; Abdulkadir Sengür; Harish Garg; Kemal Polat; Deepika Koundal (Int. J. Pattern Recognit. Artif. Intell., 2025)

Automated efficient traffic gesture recognition using swin transformer-based multi-input deep network with radar images. - Hüseyin Firat; Hüseyin Üzen; Orhan Atila; Abdulkadir Sengür (Signal Image Video Process., 2025)

HASK-Net: new hybrid attention selective kernel network for automatic colon cancer detection from colonoscopy images. - Andac Imak; Gürkan Dogan; Abdulkadir Sengür; Burhan Ergen (Health Inf. Sci. Syst., 2025)