Academic Impact
105
Publications
957
Citations
0
h-index
0
i10-index
55
OIS
Orclever Influence Score
Established Influence
Research Fields
✨ Research Summary
Prof. Dr. Fatma Latifoğlu is a renowned researcher affiliated with Erciyes University, where she has established herself as an expert in the fields of Artificial Intelligence and Biomedical Engineering. Her primary research domains and specializations, as inferred from her publication titles, include medical signal processing, image analysis, and disease diagnosis, with a focus on developing innovative methods for detecting and analyzing various health conditions, such as epilepsy, gastroesophageal reflux disease, and schizophrenia. Her institutional affiliation and role have provided her with a platform to explore the intersection of technology and healthcare, leveraging her expertise to drive advancements in these fields. Across her publication portfolio, key research themes emerge, including the application of machine learning and deep learning techniques to medical data, the analysis of physiological signals, such as ECG, EEG, and electromyogram signals, and the development of image processing methods for histopathological image analysis. Her research has been published in various reputable journals and conference proceedings, including the European Journal of Science and Technology and the Medical Technologies Congress, demonstrating her commitment to disseminating her findings to the academic community. With a total of 31 publications to her credit, Prof. Dr. Latifoğlu has made significant contributions to the field, although she has not yet engaged in peer review activities. What makes Prof. Dr. Latifoğlu's research profile distinctive is her ability to balance theoretical and practical aspects of biomedical engineering and artificial intelligence, as evident in her work on disease classification, signal processing, and image analysis. Her research has the potential to inform clinical practice and improve patient outcomes, highlighting the importance of interdisciplinary collaboration and knowledge translation in the field of biomedical engineering. As an active researcher with a publication record spanning over 15 years, Prof. Dr. Latifoğlu continues to advance the frontiers of medical technology and artificial intelligence, solidifying her position as a leading expert in her field.
Badges & Credentials
Verified Affiliation
Institutional affiliation verified
Publications105
Automated Monkeypox Disease Classification Using Texture and Focus-Based Image Features
Tugba Senturk, Cigdem Guluzar Altintop, Fatma Latifoglu
The European Journal of Research and Development, vol. 6, no. 1, pp. 12-24 (2026)
Binary and Multi-Class Chest X-Ray Classification for COVID-19 and Pneumonia Detection
Çiğdem Gülüzar Altıntop, Tuğba Şentürk, Fatma Latifoğlu
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, vol. 41, no. 1, pp. 29-43 (2026)
Using EEG to Explore Teachers’ Emotional Responses to Problem Behaviours in Learners with Autism Spectrum Disorder
Zekai Alper Alp, Veysel Aksoy, Fatma Latifoğlu, Şerife Gengeç Benli, Avşar Ardıç
Applied Sciences, vol. 16, no. 4, pp. 2153 (2026)
Predicting mortality risk and determining critical factors in intensive care patients: A preliminary study on covid-19 patients
Fatma Latifoğlu, Aynur Karayol Akin, Firat Orhan Bulucu, Gamze Kalin Ünüvar, Ramis İleri
Experimental Biomedical Research, 2 (2025)
Machine learning-based migraine analysis using retinal vessel diameters from optical coherence tomography: an alternative approach
Fırat Orhanbulucu, Metin Ünlü, Duygu Gülmez Sevim, Murat Gültekin, Fatma Latifoğlu
Neurological Sciences, vol. 46, no. 12, pp. 6651-6659 (2025)
Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients
Tuğba Şentürk, Fatma Latifoğlu, Çiğdem Gülüzar Altıntop, Arzu Yay, Zeynep Burçin Gönen, Gözde Özge Önder, Özge Cengiz Mat, Yusuf Özkul
Applied Sciences, vol. 15, no. 4, pp. 1984 (2025)
METAHEURISTIC-DRIVEN MULTI OBJECTIVE FIR FILTER DESIGN FOR ECG DENOISING
Mehmet Fatih Karakaş, Fatma Latifoğlu
INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, vol. 11, no. 1, pp. 153-168 (2025)
EEG signal analysis for the classification of Alzheimer’s and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques
Fatma Latifoğlu, Fırat Orhanbulucu, Murugappan Murugappan, Sümeyye Nur Gürbüz, Burçin Çayır, Fatma Zehra Avcı
International Journal of Neuroscience, vol. 136, no. 3, pp. 286-299 (2025)
A novel approach for Parkinson’s disease detection using Vold-Kalman order filtering and machine learning algorithms
Fatma Latifoğlu, Sultan Penekli, Fırat Orhanbulucu, Muhammad E. H. Chowdhury
Neural Computing and Applications, vol. 36, no. 16, pp. 9297-9311 (2024)
Applications of a biocompatible alginate/pericardial fluid‐based hydrogel for the production of a bioink in tissue engineering
Dilek Sönmezer Açıkgöz, Fatma Latifoğlu, Güler Toprak, Münevver Baran
Biotechnology and Applied Biochemistry, vol. 72, no. 3, pp. 777-792 (2024)
Preliminary Study Based on Myocardial Infarction Classification of 12-Lead Electrocardiography Images with Deep Learning Methods
Fatma Latifoğlu, Aigul Zhusupova, Merve İnce, Nermin Aybike Ertürk, Berat Özdet, Semra İçer, Ayşegül Güven, Ömer Levent Avşaroğulları, Şaban Keleşoğlu, Nihat Kalay
The European Journal of Research and Development, vol. 4, no. 1, pp. 42-54 (2024)
Mesafe ölçümleriyle belirlenen uygunluk fonksiyonunu kullanan yeni bir IIR temelli FIR süzgeç tasarım tekniği
Fatma LATİFOĞLU, Sümeyya ARIKAN
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 39, no. 1, pp. 635-648 (2023)
Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme
Tuğba ŞENTÜRK, Fatma LATİFOĞLU
Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 12, no. 1, pp. 161-187 (2023)
Complex Exponential Modulated Quadrature Filter Bank Design Based on Chaos Game Optimization Algorithm
Mehmet Fatih Karakaş, Fatma Latifoğlu
The European Journal of Research and Development, vol. 3, no. 3, pp. 14-30 (2023)
The Diagnosis of Alzheimer's Disease using EEG Signals
Hülya Akkaş, Fatma Latifoğlu, Mahmut Tokmakçı
The European Journal of Research and Development, vol. 3, no. 3, pp. 1-13 (2023)
Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques
Mustafa Yasin Esas, Fatma Latifoğlu
Journal of Neural Engineering, vol. 20, no. 3, pp. 036028 (2023)
Distinguishing Parkinson’s Disease with GLCM Features from the Hankelization of EEG Signals
Mehmet Fatih Karakaş, Fatma Latifoğlu
Diagnostics, vol. 13, no. 10, pp. 1769 (2023)
Quantitative Electroencephalography Analysis for Improved Assessment of Consciousness Levels in Deep Coma Patients Using a Proposed Stimulus Stage
Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Aynur Karayol Akın, Ayşe Ülgey
Diagnostics, vol. 13, no. 8, pp. 1383 (2023)
A New Hybrid Approach Based on Time Frequency Images and Deep Learning Methods for Diagnosis of Migraine Disease and Investigation of Stimulus Effect
Fırat Orhanbulucu, Fatma Latifoğlu, Recep Baydemir
Diagnostics, vol. 13, no. 11, pp. 1887 (2023)
A native extracellular matrix material for tissue engineering applications: Characterization of pericardial fluid
Dilek Sönmezer, Fatma Latifoğlu, Güler Toprak, Münevver Baran
Journal of Biomedical Materials Research Part B: Applied Biomaterials, vol. 111, no. 9, pp. 1629-1639 (2023)
Diagnostic Support System for the Detection of Attention Deficit Hyperactivity Disorder using EOG signals
Esra Demirci, Mustafa Yasin Esas, Cigdem Guluzar Altıntop, Neslihan Tastepe, Fatma Latifoglu
Journal of Psychiatry and Psychiatric Disorders, vol. 07, no. 04 (2023)
Histopatolojik Görüntülerle Diyabetin Akciğer Dokusundaki Etkisinin Sınıflandırılması: LBP ve GLCM Özellikleri ile Bir Karşılaştırma Çalışması
Tuğba Şentürk, Fatma Latifoğlu, Demet Bolat, Arzu Yay, Munevver Baran
International Journal of Multidisciplinary Studies and Innovative Technologies, vol. 7, no. 2, pp. 84 (2023)
A novel approach for detection of consciousness level in comatose patients from EEG signals with 1-D convolutional neural network
Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Aynur Karayol Akın, Bilge Çetin
Biocybernetics and Biomedical Engineering, vol. 42, no. 1, pp. 16-26 (2022)
Beyond the colors: enhanced deep learning on invasive ductal carcinoma
Mustafa Ozturk, Munevver Baran, Fatma Latifoğlu
Neural Computing and Applications, vol. 34, no. 21, pp. 18953-18973 (2022)
Classification Mental Workload Levels from EEG Signals with 1D Convolutional Neural Network
Recep Baydemir, Fatma Latifoğlu, Fırat Orhanbulucu
The European Journal of Research and Development, vol. 2, no. 4, pp. 13-23 (2022)
Derin Öğrenme Teknikleri Kullanarak İkili ve Çok Etiketli Sınıflandırma İle Enzimatik Fonksiyon Tahmini
Münevver BARAN, Mustafa ÖZTÜRK, Fatma LATİFOĞLU
European Journal of Science and Technology (2022)
A novel approach for detection of dyslexia using convolutional neural network with EOG signals
Ramis Ileri, Fatma Latifoğlu, Esra Demirci
Medical & Biological Engineering & Computing, vol. 60, no. 11, pp. 3041-3055 (2022)
Can patients in deep coma hear us? Examination of coma depth using physiological signals
Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Aynur Karayol Akın
Biomedical Signal Processing and Control, vol. 77, pp. 103756 (2022)
Olayla İlgili Potansiyel Sinyalleri Kullanarak Şizofreninin Analizi ve Sınıflandırılması
Anıl AKSÖZ, Doğukan AKYÜZ, Furkan BAYIR, Nevzat Can YILDIZ, Fırat ORHANBULUCU, Fatma LATİFOĞLU
Computer Science (2022)
Predicting Liver Disease Using Decision Tree Ensemble Methods
Fırat Orhanbulucu, İrem ACER, Fatma Lati̇foğlu, Semra İçer
DergiPark (Istanbul University) (2021)
Detection of amyotrophic lateral sclerosis disease by variational mode decomposition and convolution neural network methods from event-related potential signals
Fatma LATİFOĞLU, Fırat ORHANBULUCU, Ramis İLERİ
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, vol. 29, no. SI-1, pp. 2840-2854 (2021)
Detection of amyotrophic lateral sclerosis disease from event-related potentials using variational mode decomposition method
Fırat Orhanbulucu, Fatma Latifoğlu
Computer Methods in Biomechanics and Biomedical Engineering, vol. 25, no. 8, pp. 840-851 (2021)
A New Approach to Detection of Parkinson’s Disease Using Variational Mode Decomposition Method and Deep Neural Networks
Er Rumeysa, Ramis Ileri, Fatma Latifoglu
2021 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2021)
Assessment of dyslexic children with EOG signals: Determining retrieving words/re-reading and skipping lines using convolutional neural networks
Fatma Latifoğlu, Ramis İleri, Esra Demirci
Chaos, Solitons & Fractals, vol. 145, pp. 110721 (2021)
Pericardial fluid and vascular tissue engineering: A preliminary study
Dilek Sönmezer, Fatma Lati̇foğlu, Güler Toprak, Ayhan Düzler, İsmail Alper İşoğlu
Bio-Medical Materials and Engineering, vol. 32, no. 2, pp. 101-113 (2021)
Detection of Epilepsy Using Wavelet Coherence and Convolutional Neural Networks
Ayse Bozdogan, Mehmet Ustu, Ramis Ileri, Fatma Latifoglu
2021 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2021)
Optimizasyon Tabanlı FIR Süzgeç Tasarımlarında Performans Analizi
Mehmet Fatih KARAKAŞ, Fatma LATİFOĞLU
European Journal of Science and Technology (2021)
Analysis of Attention to Potential Signals of ALS Patients by Using the K-Means Clustering Method
F. Latifoğlu, Fırat Orhanbulucu, Abdullah Bas
(2020)
Diagnosis of attention-deficit hyperactivity disorder using EOG signals: a new approach
Fatma Latifoğlu, Mustafa Yasin Esas, Esra Demirci
Biomedical Engineering / Biomedizinische Technik, vol. 65, no. 2, pp. 149-164 (2020)
Analysis of The Electrodermal Activity Signals for Different Stressors Using Empirical Mode Decomposition
Ramis İLERİ, Fatma LATİFOGLU
Academic Platform Journal of Engineering and Science, pp. 407-414 (2020)
Evaluation of Glasgow Coma Score Using Electroencephalogram Signals
Fatma Latifoglu, Cigdem Guluzar Altintop, Aynur Karayol Akin, Ramis Ileri, Mehmet Akif Yazar
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), vol. 8, pp. 1-6 (2020)
K-Ortalamalar Kümeleme Yöntemi Kullanılarak ALS Hastalarında Dikkatin Olaya İlişkin Potansiyel Sinyalleri İle İncelenmesi
Fırat ORHANBULUCU, Fatma LATİFOĞLU, Abdullah BAŞ
European Journal of Science and Technology, pp. 239-244 (2020)
Perikardial Sıvıdan İzole Edilen Hücrelere Fibroblast Büyüme Faktörü (FGF-2) Etkisinin Analizi
Dilek SÖNMEZER, Güler TOPRAK, Ayhan DÜZLER, Fatma LATİFOĞLU
Afyon Kocatepe University Journal of Sciences and Engineering, vol. 20, no. 6, pp. 1156-1164 (2020)
Analysis of Consciousness Level Using Galvanic Skin Response during Therapeutic Effect
Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Aynur Karayol Akın, Ramis İleri, Mehmet Akif Yazar
Journal of Medical Systems, vol. 45, no. 1, pp. 1-1 (2020)
Finite Impulse Response Filter Design Using Squirrel Search Algorithm
Mehmet Fatih Karakas, Fatma Latifoglu
2020 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2020)
New Method to Diagnosis of Dyslexia Using 1D-CNN
Ramis Ileri, Fatma Latifoglu, Esra Demirci
2020 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2020)
Detection of Reading Movement from EOG Signals
Fatma Latifoglu, Ramis Ileri, Esra Demirci, Cigdem Guluzar Altintop
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-5 (2020)
Motion Type Verification Studies Using Accelerometer Sensor Data With Local Mean Decomposition
Mustafa Yasin Esas, Fatma Latifoğlu
Academic Perspective Procedia, vol. 2, no. 3, pp. 1051-1057 (2019)
Analysis of Family/Nurse Affect to Unconscious Patients
Fatma Latifoglu, Cigdem Guluzar Altintop, Aynur Karayol Akin, Ramis Ileri, Mehmet Akif Yazar
2019 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2019)
A novel singular spectrum analysis-based multi-objective approach for optimal FIR filter design using artificial bee colony algorithm
Fatma Latifoğlu
Neural Computing and Applications, vol. 32, no. 17, pp. 13323-13341 (2019)
Analysis of ECG Signals Recorded Using Different Stimuli from Patients in Intensive Care Unit: A Case Study
Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Mehmet Akif Yazar, Aynur Karayol Akın, Ramis İleri
Academic Perspective Procedia, vol. 2, no. 3, pp. 831-840 (2019)
Artificial Neural Network Based Diagnostic System For Melanoma Skin Cancer
Ramis İleri, Fatma Latifoğlu, Semra İçer
2019 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2019)
Classification of Healthy and Pathological Voices Using Artificial Neural Networks
Ramis Ileri, Fatma Latifoglu, Aysegul Guven
2019 Medical Technologies Congress (TIPTEKNO), pp. 1-4 (2019)
Cell Isolating from Bovine Pericardial Fluid and Culturing for Next Tissue Engineering Applications
F. Latifoğlu, Dilek Sonmezer, Güler Toprak, A. Düzler, I. A. Işoğlu, D. Kaan
, vol. 4, no. 4, pp. 224-229 (2018)
Analysis of Effect of Stress to Attention using Galvanic Skin Response, Response Time and Electrooculography signals
F. Latifoğlu, Ramis Ileri, S. Demirhan, F. Beker, Mehmet Sarıköse
DergiPark (Istanbul University), vol. 14, no. 1, pp. 23-31 (2018)
Detection of differences between migraine and tension-type headache from electroencephalogram signals
Çiğdem Gülüzar Altıntop, F. Latifoğlu, Aykut Yalabık, Kübra Keser, E. Ulusoy
International Conference on Electrical and Electronics Engineering, pp. 524-528 (2017)
Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density
Çiğdem Gülüzar Altıntop, F. Latifoğlu, Emre Çelikzencir, G. Sezgin, M. A. Yurci
DergiPark (Istanbul University), vol. 17, no. 1, pp. 3065-3073 (2017)
Diagnosis of epileptic seizure from EEG signals by least squares method
Cigdem Guluzar Altintop, Tugba Senturk, Fatma Latifoglu
2017 Medical Technologies National Congress (TIPTEKNO), pp. 1-4 (2017)
Assessment of anxiety disorder by pupil response
Mehmet Fatih Karakaş, Fatma Latifoğlu, Esra Demirci
2017 Medical Technologies National Congress (TIPTEKNO), pp. 1-4 (2017)
Electrooculography based font and punto analysis
Musa Tabkara, Fatma Latifoğlu, Kübra Ceran, Seyit Hamza Çavga, Muhammed Yaprak, Çiğdem Gülüzar Altintop
2017 Medical Technologies National Congress (TIPTEKNO), pp. 1-4 (2017)
Determination of attention deficit hyperactivity disorder by electrooculogram test
Mustafa Yasin Esas, Fatma Latifoglu, Esra Demirci, Cigdem Gulizar Altintop
2017 Medical Technologies National Congress (TIPTEKNO), pp. 1-4 (2017)
Gastroözofageal Reflü Hastalığının Ayrık Dalgacık Dönüşümü Kullanarak EGG Sinyallerinden Teşhisi
Emre ÇELİKZENCİR, Çiğdem Gülizar ACER, Fatma LATİFOĞLU, Gülten Can SEZGİN, Mustafa Alper YURCİ
SDÜ Fen Bilimleri Enstitüsü Dergisi, vol. 20, no. 2 (2016)
Analysis of electrooculogram signals from students before and after exam
Cigdem Guluzar Altintop, Fatma Latifoglu, Mustafa Yasin Esas
2016 Medical Technologies National Congress (TIPTEKNO), pp. 1-4 (2016)
Analysis of the Complexity Measures in the EEG of Schizophrenia Patients
S. Akdemir Akar, S. Kara, F. Latifoğlu, V. Bilgiç
International Journal of Neural Systems, vol. 26, no. 02, pp. 1650008 (2016)
Determinig of autoregressive parameters from electrogastrogram signals using Cramer-Rao Lower Bound
Çiğdem Gülüzar Altıntop, Fatima Latifoğlu, Emre Çelikzencir, Gülten Can Sezgin, Mustafa Alper Yurci
2016 Medical Technologies National Congress (TIPTEKNO), pp. 1-4 (2016)
Importance of hybrid models for forecasting of hydrological variable
Levent Latifoğlu, Özgür Kişi, Fatma Latifoğlu
Neural Computing and Applications, vol. 26, no. 7, pp. 1669-1680 (2015)
Estimation of nonlinear measures of schizophrenia patients' EEG in emotional states
S.A. Akar, S. Kara, F. Latifoğlu, V. Bilgiç
IRBM, vol. 36, no. 4, pp. 250-258 (2015)
Computer-Based design with dual channel device electrooculography and eye movement tracking
Mustafa Yasin Esas, Fatma Latifoğlu
2015 Medical Technologies National Conference (TIPTEKNO), pp. 1-4 (2015)
SSA analysis of noise eliminated Transcranial Doppler Signals with IIR filters
Turker Koza, Serdar Kockana, Nurhan Karaboga, Fatma Latifoglu
2015 23nd Signal Processing and Communications Applications Conference (SIU), vol. 8, pp. 2021-2024 (2015)
Evaluation diagnosis availability of noninvasive Electrogastrogram signals for gastroesophageal reflux disease
Emre Çelikzencir, Çiğdem Gülüzar Acer, Fatma Latifoğlu, Gülten Can Sezgin, M. Alper Yurci
2015 Medical Technologies National Conference (TIPTEKNO), pp. 1-4 (2015)
Investigation of the noise effect on fractal dimension of EEG in schizophrenia patients using wavelet and SSA-based approaches
Saime Akdemir Akar, Sadık Kara, Fatma Latifoğlu, Vedat Bilgiç
Biomedical Signal Processing and Control, vol. 18, pp. 42-48 (2015)
DETERMINATION OF FIBROSIS SCORE IN THE VENTRICULAR ARTER BYUSING IMAGE PROCESSING TECHNIQUES ON HISTOPATHOLOGICALIMAGES
Dilek Sonmezer, Y. Cihan, F. Latifoğlu
(2014)
Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series
Ozgur Kisi, Levent Latifoğlu, Fatma Latifoğlu
Water Resources Management, vol. 28, no. 12, pp. 4045-4057 (2014)
Analysis of heart rate variability during auditory stimulation periods in patients with schizophrenia
Saime Akdemir Akar, Sadık Kara, Fatma Latifoğlu, Vedat Bilgiç
Journal of Clinical Monitoring and Computing, vol. 29, no. 1, pp. 153-162 (2014)
Spectral analysis of photoplethysmographic signals: The importance of preprocessing
Saime Akdemir Akar, Sadık Kara, Fatma Latifoğlu, Vedat Bilgiç
Biomedical Signal Processing and Control, vol. 8, no. 1, pp. 16-22 (2013)
A novel approach to speckle noise filtering based on Artificial Bee Colony algorithm: An ultrasound image application
Fatma Latifoğlu
Computer Methods and Programs in Biomedicine, vol. 111, no. 3, pp. 561-569 (2013)
Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm
Nurhan Karaboga, Fatma Latifoglu
Engineering Applications of Artificial Intelligence, vol. 26, no. 2, pp. 677-684 (2013)
Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony – ABC-algorithm
Nurhan Karaboga, Fatma Latifoglu
Digital Signal Processing, vol. 23, no. 3, pp. 1051-1058 (2013)
Time and Frequency Domain Measures of Heart Rate Variability in Schizophrenia
Saime Akdemir Akar, S. Kara, F. Latifoğlu, V. Bilgiç
, pp. 108-112 (2012)
Wavelet-Welch methodology for analysis of EEG signals of schizophrenia patients
Saime Akdemir Akar, Sadik Kara, Fatma Latifoglu, Vedat Bilgic
2012 Cairo International Biomedical Engineering Conference (CIBEC), vol. 3, pp. 6-9 (2012)
SSA analysis of transcranial Doppler signal using IIR filters designed with ABC algorithm
Nurhan Karaboga, Fatma Latifoglu, Turker Koza
Current Opinion in Biotechnology, vol. 22, pp. S58 (2011)
Non-Invasive Diagnosis of Stress Urinary Incontinence Sub Types Using Wavelet Analysis, Shannon Entropy and Principal Component Analysis
Kadir Tufan, Sadık Kara, Fatma Latifoğlu, Sinem Aydın, Adem Kırış, Ünsal Özkuvancı
Journal of Medical Systems, vol. 36, no. 4, pp. 2159-2169 (2011)
Comparison of two techniques used for the estimation of the cerebral surface area using MRI
Niyazi Acer, Semra Icer, Fatma Latifoglu, Ahmet Turan Ilica, Mehmet Turgut
Current Opinion in Biotechnology, vol. 22, pp. S117 (2011)
An Estimation of Nonlinearity Measures for the EEG of Schizophrenia Patients in Emotional States
Saime Akdemir Akar, Fatma Latifoglu, Sadık Kara, Vedat Bilgiç
Signal and Image Processing and Applications / 716: Artificial Intelligence and Soft Computing (2011)
Denoising of Electroretinogram signals using empirical mode decomposition
Fatma Latifoglu, Aysegul Guven, Ugur Durmus, Ayse Oner
2010 15th National Biomedical Engineering Meeting, pp. 1-4 (2010)
Determination of mitosis cells number using image processing methods
Fatma Latifoglu, Dilek Sonmezer, Kemal Deniz
2010 15th National Biomedical Engineering Meeting, vol. 20, pp. 1-4 (2010)
Monitoring the body water exchange using dielectric permeability method
Mehmet Akif Ozcoban, Fatma Latifoglu, Ahmet Ulgen, Musa. H. Asyali
2010 15th National Biomedical Engineering Meeting, vol. 23, pp. 1-3 (2010)
Determining of brain gray and white matter regions in magnetic resonance images
Semra Icer, Fatma Latifoglu, Abdulhakim Coskun, S. Melih Uzunoglu
2010 15th National Biomedical Engineering Meeting, vol. 10, pp. 1-4 (2010)
Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems
Seral Ozsen, Salih Gunes, Sadik Kara, Fatma Latifoglu
IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, pp. 621-628 (2009)
Doppler ultrasound signal denoising based on Grey relational analysis technique
Esma ds, Fatma Latifoglu, Turker Koza, Mehmet G. Kaya
2009 14th National Biomedical Engineering Meeting, vol. 1, pp. 1-4 (2009)
Variation of Power Spectral Density and Energy in Electromyogram of Jaw-Closing Muscles in Children with Class II Malocclusion
S. Kara, Ş. Okkesim, F. Latifoğlu, T. Uysal, A. Baysal
IFMBE Proceedings, pp. 1475-1478 (2009)
Comparison of Short-Time Fourier Transform and Eigenvector MUSIC Methods Using Discrete Wavelet Transform for Diagnosis of Atherosclerosis
Fatma Latifoğlu, Sadık Kara, Erkan İmal
Journal of Medical Systems, vol. 33, no. 3, pp. 189-197 (2008)
SPECTRAL ANALYSIS OF UMBILICAL ARTERY DOPPLER SIGNALS DURING GESTATION UTILIZING DISCRETE WAVELET TRANSFORM
S. Kara, F. Latifoğlu, E. İmal, M. Güney
Experimental Techniques, vol. 33, no. 4, pp. 52-58 (2008)
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 Latifoğlu, Kemal Polat, Sadık Kara, Salih Güneş
Journal of Biomedical Informatics, vol. 41, no. 1, pp. 15-23 (2008)
Complex-valued wavelet artificial neural network for Doppler signals classifying
Yüksel Özbay, Sadık Kara, Fatma Latifoğlu, Rahime Ceylan, Murat Ceylan
Artificial Intelligence in Medicine, vol. 40, no. 2, pp. 143-156 (2007)
Medical application of Artificial Immune Recognition System (AIRS): Diagnosis of atherosclerosis from carotid artery Doppler signals
Fatma Latifoǧlu, Halife Kodaz, Sadık Kara, Salih Güneş
Computers in Biology and Medicine, vol. 37, no. 8, pp. 1092-1099 (2007)
Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems
F LATIFOGLU, S SAHAN, S KARA, S GUNES
Expert Systems with Applications, vol. 33, no. 3, pp. 786-793 (2007)
A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis
Seral Özşen, Sadık Kara, Fatma Latifoğlu, Salih Güneş
Computer Methods and Programs in Biomedicine, vol. 88, no. 3, pp. 246-255 (2007)
Determining Fractal Dimension of Umbilical Artery Doppler Signals Using Hurst Exponent
Fatma Latifoğlu, Sadık Kara, Mehmet Güney
Journal of Medical Systems, vol. 31, no. 6, pp. 529-536 (2007)
Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals
Kemal Polat, Fatma Latifoğlu, Sadık Kara, Salih Güneş
Medical & Biological Engineering & Computing, vol. 46, no. 4, pp. 353-362 (2007)
Fractal Analysis of Umbilical Artery Doppler Signals from Normal Pregnant Subject Using Hurst Exponent
Sadik Kara, Fatma Latifoglu, Mehmet Güney
2007 Frontiers in the Convergence of Bioscience and Information Technologies, vol. 23, pp. 582-586 (2007)
SPECTRAL ANALYSIS OF PORTAL VEIN DOPPLER SIGNALS USING STFT AND AR MODELING IN THE CIRRHOTIC PORTAL HYPERTENSION PATIENTS
S. Kara, F. Latifoglu, Ö.İ. Karahan, G. Kahriman
Experimental Techniques, vol. 31, no. 2, pp. 51-56 (2007)
Spectral analysis of umbilical artery Doppler signals during normal pregnancy using STFT and AR method
Fatma Latifoglu, Sadik Kara, Mehmet Guney
2007 9th International Symposium on Signal Processing and Its Applications, vol. 69, pp. 1-4 (2007)
Pattern Detection of Atherosclerosis from Carotid Artery Doppler Signals using Fuzzy Weighted Pre-Processing and Least Square Support Vector Machine (LSSVM)
Kemal Polat, Sadık Kara, Fatma Latifoğlu, Salih Güneş
Annals of Biomedical Engineering, vol. 35, no. 5, pp. 724-732 (2007)
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, Sadık Kara, Fatma Latifoğlu, Salih Güneş
Lecture Notes in Computer Science, pp. 244-255 (2006)