A. Alkan

发表

Automatic Classification of the Medical Documents on the Medline Database into Relevant Cancer Types

Ahmet Haltaş, A. Alkan, 2016 .

Classification of multi-channel EEG signals for migraine detection.

S. B. Akben, A. Alkan, D. Tunçel, 2016 .

Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing

Abdulhamit Subasi, Ahmet Alkan, M. Kemal Kiymik, 2005, Neural Networks.

Voice Acoustic Analysis of Pediatric Vocal Nodule Patients Using Ratios Calculated With Biomedical Image Segmentation.

A. Alkan, A. Doğaner, N. Bilal, 2017, Journal of voice : official journal of the Voice Foundation.

Density Weighted K-Nearest Neighbors Algorithm for Outliers in the Training Set Are So Close to the Test Element

S. B. Akben, A. Alkan, 2015 .

Lung cancer detection by using probabilistic majority voting and optimization techniques

A. Alkan, Kubilay Muhammed Sünnetci, 2022, Int. J. Imaging Syst. Technol..

A DECISION SUPPORT SYSTEM FOR DETECTION OF THE RENAL CELL CANCER IN THE KIDNEY 1 Seda

A. Alkan, A. Tuncer, 2018 .

Periodontal bone loss detection based on hybrid deep learning and machine learning models with a user-friendly application

Sezer Ulukaya, A. Alkan, Kubilay Muhammed Sünnetci, 2022, Biomed. Signal Process. Control..

Gait based human identification: a comparative analysis

A. Alkan, Kubilay Muhammed Sünnetci, M. Ordu, 2021, Computer Science.

Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images

A. Alkan, Kubilay Muhammed Sünnetci, Kubilay Muhammed Sunnetci, 2022, Expert Systems with Applications.

Classification of EEG Recordings by Using Fast Independent Component Analysis and Artificial Neural Network

Ahmet Alkan, Yücel Koçyigit, Halil Erol, 2008, Journal of Medical Systems.

Comparative parotid gland segmentation by using ResNet‐18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images

A. Alkan, Kubilay Muhammed Sünnetci, F. B. Çeliker, 2022, Concurr. Comput. Pract. Exp..

Use of artificial neural network algorithm in the immunohistochemical dyeing based diagnosis of thyroid tumor

Ahmet Alkan, Mustafa Karabulut, Ahmet Maltas, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

LSS‐net: 3‐dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis

A. Alkan, Sinan Altun, 2022, Int. J. Imaging Syst. Technol..

Identification of EMG signals using discriminant analysis and SVM classifier

Ahmet Alkan, Mücahid Günay, A. Alkan, 2012, Expert Syst. Appl..

AR spectral analysis of EEG signals by using maximum likelihood estimation

Inan Güler, Ahmet Alkan, M. Kemal Kiymik, 2001, Comput. Biol. Medicine.

A smart agricultural application: automated detection of diseases in vine leaves using hybrid deep learning

A. Alkan, Huiyu Zhou, Muhammed Assaf, 2021, TURKISH JOURNAL OF AGRICULTURE AND FORESTRY.

ANALYSIS OF EEG SIGNALS BY USING CLASSIFICATION AND CLUSTERING METHODS

Ahmet Alkan, A. Alkan, 2011 .

Segmentation of thyroid nodules with K-means algorithm on mobile devices

Seda Arslan Tuncer, Ahmet Alkan, A. Alkan, 2015, 2015 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI).

Image Edge Detection Based on Neutrosophic Set Approach Combined with Chan-Vese Algorithm

Eser Sert, Ahmet Alkan, A. Alkan, 2019, Int. J. Pattern Recognit. Artif. Intell..

Comparison of AR and Welch Methods in Epileptic Seizure Detection

Ahmet Alkan, M. Kemal Kiymik, M. Kiymik, 2006, Journal of Medical Systems.

LSS-UNET: Lumbar spinal stenosis semantic segmentation using deep learning

A. Alkan, Idiris Altun, Sinan Altun, 2023, Multimedia Tools and Applications.

Classification of EMG Signals by Spectral Methods and SVM Classifier

Mücahid Günay, Ahmet Alkan, A. Alkan, 2010 .

Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection

Abdulhamit Subasi, Ergun Erçelebi, Ahmet Alkan, 2006, Comput. Biol. Medicine.

Deep Network-Based Comprehensive Parotid Gland Tumor Detection.

A. Alkan, Fatma Beyazal Celiker, F. B. Çeliker, 2023, Academic radiology.

Sınır zekâ ve zihinsel yetersizliği olan çocuklarda WISC-R profillerinin makine öğrenme algoritmaları ile incelenmesi The investigation of WISC-R profiles in children with border intelligence and intellectual disability with machine learning algorithms

A. Alkan, H. Altun, Sinan Altun, 2021 .

Frequency domain analysis of power system transients using Welch and Yule–Walker AR methods

Ahmet Serdar Yilmaz, Ahmet Alkan, A. Alkan, 2007 .

Detection of Covid 19 from the Lungs X-ray Images by Using the Deep Learning Techniques

A. Alkan, Muhammed Üsame Abdullah, H. Omaish, 2021, 5th International Students Science Congress.

Automatic Diagnosis of Attention Deficit Hyperactivity Disorder with Continuous Wavelet Transform and Convolutional Neural Network

A. Alkan, H. Altun, Sinan Altun, 2022, Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology.

Automatic seizure detection in EEG using logistic regression and artificial neural network

Ahmet Alkan, Abdulhamit Subasi, Etem Koklukaya, 2005, Journal of Neuroscience Methods.

Spinal Cord Based Kidney Segmentation Using Connected Component Labeling and K-Means Clustering Algorithm

Seda Arslan Tuncer, Ahmet Alkan, A. Alkan, 2019, Traitement du Signal.

Comparative MR image analysis for thyroid nodule detection and quantification

Seda Arslan Tuncer, Ahmet Alkan, Mücahid Günay, 2014 .

Analysis of knee osteoarthritis by using fuzzy c-means clustering and SVM classification

Ahmet Alkan, A. Alkan, 2011 .

Face mask detection using GoogLeNet CNN-based SVM classifiers

S. B. Akben, A. Alkan, Kubilay Muhammed Sünnetci, 2022, GAZI UNIVERSITY JOURNAL OF SCIENCE.

Investigation of the effect of “Nicotiana rustica/Maraş Otu” use on gray matter using image processing techniques from brain MRI images

A. Alkan, A. Doğan, Idiris Altun, 2023, Signal, Image and Video Processing.

Investigation Of Diabetes Data with Permutation Feature Importance Based Deep Learning Methods

A. Alkan, Mehmet İsmail Gürsoy, 2022, Karadeniz Fen Bilimleri Dergisi.

The investigation of WISC-R profiles in children with border intelligence and intellectual disability with machine learning algorithms

A. Alkan, H. Altun, Sinan Altun, 2021, Pamukkale University Journal of Engineering Sciences.

Applications of parametric spectral estimation methods on detection of power system harmonics

Ahmet Serdar Yilmaz, Ahmet Alkan, Musa H. Asyali, 2008 .

Classification of EMG signals taken from arm with hybrid CNN‐SVM architecture

A. Alkan, S. Tuncer, 2021, Concurr. Comput. Pract. Exp..

A decision support system for detection of the renal cell cancer in the kidney

Seda Arslan Tuncer, Ahmet Alkan, A. Alkan, 2018, Measurement.

NEURAL NETWORK CLASSIFICATION OF EEG SIGNALS BY USING AR WITH MLE PREPROCESSING FOR EPILEPTIC SEIZURE DETECTION

Abdulhamit Subasi, Mahmut Kemal Kiymik, Ahmet Alkan, 2005 .

Frontal Cortex Neuron Type Classification with Deep Learning and Recurrence Plot

Fatma Özcan, A. Alkan, 2021, Traitement du Signal.

Long Term Energy Consumption Forecasting Using Genetic Programming

Ahmet Serdar Yilmaz, Korhan Karabulut, Ahmet Alkan, 2008 .

Visual Interpretation of Biomedical Time Series Using Parzen Window-Based Density-Amplitude Domain Transformation

Ahmet Alkan, Selahaddin Batuhan Akben, S. B. Akben, 2016, PloS one.

Neural Decoding of Inferior Colliculus Multiunit Activity for Sound Category identification with temporal correlation and deep learning

A. Alkan, F. Özcan, 2022, bioRxiv.

Performance of an Ensemble Clustering Algorithm on Biological Data Sets

Burak Eksioglu, Andy D. Perkins, Ahmet Alkan, 2011 .

Use of K-means clustering in migraine detection by using EEG records under flash stimulation

Ahmet Alkan, Selahaddin Batuhan Akben, S. B. Akben, 2011 .

Emotion detection from ECG signals with different learning algorithms and automated feature engineering

A. Alkan, Faruk Enes Oguz, Thorsten Schöler, 2023, Signal, Image and Video Processing.

Non-local means based image enhancement on coronary angiography images

Seda Arslan Tuncer, Turab Selçuk, Ahmet Alkan, 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).