A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease. - Kemal Polat; Sadik Kara; Fatma Latifoglu; Salih Günes (ICARIS, 2006)

Fractal Analysis of Umbilical Artery Doppler Signals from Normal Pregnant Subject Using Hurst Exponent. - Sadik Kara; Fatma Latifoglu; Mehmet Güney (FBIT, 2007)

Spectral analysis of umbilical artery Doppler signals during normal pregnancy using STFT and AR method. - Fatma Latifoglu; Sadik Kara; Mehmet Güney (ISSPA, 2007)

Complex-valued wavelet artificial neural network for Doppler signals classifying. - Yüksel Özbay; Sadik Kara; Fatma Latifoglu; Rahime Ceylan; Murat Ceylan (Artif. Intell. Medicine, 2007)

Medical application of Artificial Immune Recognition System (AIRS): Diagnosis of atherosclerosis from carotid artery Doppler signals. - Fatma Latifoglu; Halife Kodaz; Sadik Kara; Salih Günes (Comput. Biol. Medicine, 2007)

A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis. - Seral Özsen; Sadik Kara; Fatma Latifoglu; Salih Günes (Comput. Methods Programs Biomed., 2007)

Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems. - Fatma Latifoglu; Seral Sahan; Sadik Kara; Salih Günes (Expert Syst. Appl., 2007)

Determining Fractal Dimension of Umbilical Artery Doppler Signals Using Hurst Exponent. - Fatma Latifoglu; Sadik Kara; Mehmet Güney (J. Medical Syst., 2007)

Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS). - Fatma Latifoglu; Kemal Polat; Sadik Kara; Salih Günes (J. Biomed. Informatics, 2008)

Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals. - Kemal Polat; Fatma Latifoglu; Sadik Kara; Salih Günes (Medical Biol. Eng. Comput., 2008)

Comparison of Short-Time Fourier Transform and Eigenvector MUSIC Methods Using Discrete Wavelet Transform for Diagnosis of Atherosclerosis. - Fatma Latifoglu; Sadik Kara; Erkan Imal (J. Medical Syst., 2009)

Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems. - Seral Özsen; Salih Günes; Sadik Kara; Fatma Latifoglu (IEEE Trans. Inf. Technol. Biomed., 2009)

Non-Invasive Diagnosis of Stress Urinary Incontinence Sub Types Using Wavelet Analysis, Shannon Entropy and Principal Component Analysis. - Kadir Tufan; Sadik Kara; Fatma Latifoglu; Sinem Aydin; Adem Kiris; Ünsal Özkuvanci (J. Medical Syst., 2012)

Spectral analysis of photoplethysmographic signals: The importance of preprocessing. - Saime Akdemir Akar; Sadik Kara; Fatma Latifoglu; Vedat Bilgiç (Biomed. Signal Process. Control., 2013)

A novel approach to speckle noise filtering based on Artificial Bee Colony algorithm: An ultrasound image application. - Fatma Latifoglu (Comput. Methods Programs Biomed., 2013)

Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony - ABC-algorithm. - Nurhan Karaboga; Fatma Latifoglu (Digit. Signal Process., 2013)

Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm. - Nurhan Karaboga; Fatma Latifoglu (Eng. Appl. Artif. Intell., 2013)

SSA analysis of noise eliminated Transcranial Doppler Signals with IIR filters. - Turker Koza; Serdar Kockanat; Nurhan Karaboga; Fatma Latifoglu (SIU, 2015)

Investigation of the noise effect on fractal dimension of EEG in schizophrenia patients using wavelet and SSA-based approaches. - Saime Akdemir Akar; Sadik Kara; Fatma Latifoglu; Vedat Bilgiç (Biomed. Signal Process. Control., 2015)

Importance of hybrid models for forecasting of hydrological variable. - Levent Latifoglu; Özgür Kisi; Fatma Latifoglu (Neural Comput. Appl., 2015)

Analysis of the Complexity Measures in the EEG of Schizophrenia Patients. - Saime Akdemir Akar; Sadik Kara; Fatma Latifoglu; Vedat Bilgiç (Int. J. Neural Syst., 2016)

Evaluation of Glasgow Coma Score Using Electroencephalogram Signals. - Fatma Latifoglu; Çigdem Gülüzar Altintop; Aynur Karayol Akin; Ramis Ileri; Mehmet Akif Yazar (MeMeA, 2020)

Detection of Reading Movement from EOG Signals. - Fatma Latifoglu; Ramis Ileri; Esra Demirci; Çigdem Gülüzar Altintop (MeMeA, 2020)

A novel singular spectrum analysis-based multi-objective approach for optimal FIR filter design using artificial bee colony algorithm. - Fatma Latifoglu (Neural Comput. Appl., 2020)

Detection of amyotrophic lateral sclerosis disease by variational mode decomposition and convolution neural network methods from event-related potential signals. - Fatma Latifoglu; Firat Orhanbulucu; Ramis Ileri (Turkish J. Electr. Eng. Comput. Sci., 2021)

Analysis of Consciousness Level Using Galvanic Skin Response during Therapeutic Effect. - Çigdem Gülüzar Altintop; Fatma Latifoglu; Aynur Karayol Akin; Ramis Ileri; Mehmet Akif Yazar (J. Medical Syst., 2021)

Can patients in deep coma hear us? Examination of coma depth using physiological signals. - Çigdem Gülüzar Altintop; Fatma Latifoglu; Aynur Karayol Akin (Biomed. Signal Process. Control., 2022)

Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals. - Çigdem Gülüzar Altintop; Fatma Latifoglu; Aynur Karayol Akin; Adnan Bayram; Murat Çiftçi (Int. J. Neural Syst., 2022)

A novel approach for detection of dyslexia using convolutional neural network with EOG signals. - Ramis Ileri; Fatma Latifoglu; Esra Demirci (Medical Biol. Eng. Comput., 2022)

Beyond the colors: enhanced deep learning on invasive ductal carcinoma. - Mustafa Ozturk; Munevver Baran; Fatma Latifoglu (Neural Comput. Appl., 2022)

Early diagnosis of pancreatic cancer by machine learning methods using urine biomarker combinations. - Irem Acer; Firat Orhanbulucu; Semra Içer; Fatma Latifoglu (Turkish J. Electr. Eng. Comput. Sci., 2023)

A novel approach for Parkinson's disease detection using Vold-Kalman order filtering and machine learning algorithms. - Fatma Latifoglu; Sultan Penekli; Firat Orhanbulucu; Muhammad E. H. Chowdhury (Neural Comput. Appl., 2024)

High-performance classification of STEMI and NSTEMI by automatic feature selection from ECG signals: a triple approach. - Fatma Latifoglu; Semra Içer; Aysegül Güven; Aigul Zhusupova; Ömer Levent Avsarogullari; Saban Kelesoglu; Nihat Kalay; Firat Orhanbulucu; Merve Ince; Aybike Ertürk; Berat Özdet (Signal Image Video Process., 2025)

Ultrasonographic examination of the maturational effect of maternal vitamin D use on fetal clavicle bone development. - Fatma Ozdemir; Banu Acmaz; Fatma Latifoglu; Sabahattin Muhtaroglu; Nefise Tanridan Okcu; Gokhan Acmaz; Iptisam Ipek Muderris (BMC Medical Imaging, 2025)