Muhammed YILDIRIM

Muhammed YILDIRIM

Firat Üniversitesi

H-index: 14

Asia-Turkey

About Muhammed YILDIRIM

Muhammed YILDIRIM, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Firat Üniversitesi, specializes in the field of Deep Learning, Image Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic detection of knee osteoarthritis grading using artificial intelligence‐based methods

A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN

Automated deep feature fusion based approach for the classification of multiclass rice diseases

Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases

Automatic classification of kidney CT images with relief based novel hybrid deep model

Diagnosis of Chronic Kidney Disease Based on CNN and LSTM''

Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep …

CIDO: Chaotically initialized dandelion optimization for global optimization

Muhammed YILDIRIM Information

University

Position

___

Citations(all)

914

Citations(since 2020)

913

Cited By

60

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Firat Üniversitesi

Google Scholar

View Google Scholar Profile

Muhammed YILDIRIM Skills & Research Interests

Deep Learning

Image Processing

Machine Learning

Top articles of Muhammed YILDIRIM

Title

Journal

Author(s)

Publication Date

Automatic detection of knee osteoarthritis grading using artificial intelligence‐based methods

International Journal of Imaging Systems and Technology

Muhammed Yildirim

Hurşit Burak Mutlu

2024/3

A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN

Signal, Image and Video Processing

Muhammed Yildirim

Soner Kiziloluk

Serpil Aslan

Eser Sert

2024/3

Automated deep feature fusion based approach for the classification of multiclass rice diseases

Iran Journal of Computer Science

Nadide Yucel

Muhammed Yildirim

2024/3

Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases

PeerJ Computer Science

Soner Kiziloluk

Muhammed Yildirim

Harun Bingol

Bilal Alatas

2024

Automatic classification of kidney CT images with relief based novel hybrid deep model

PeerJ Computer Science

Harun Bingol

Muhammed Yıldırım

Kadir Yıldırım

Bilal Alatas

2023

Diagnosis of Chronic Kidney Disease Based on CNN and LSTM''

Acadlore Transactions on AI and Machine Learning

EN Yildiz

E Cengil

M Yildirim

H Bingol

2023

Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep …

International Journal of Imaging Systems and Technology

Muhammet Serdar Bugday

Mehmet Akcicek

Harun Bingol

Muhammed Yildirim

2023/3

CIDO: Chaotically initialized dandelion optimization for global optimization

Int. J. Advanced Networking and Applications

Sinem Akyol

Muhammed Yildirim

Bilal Alatas

2023

Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images

Signal, Image and Video Processing

Yesim Eroglu

Muhammed Yildirim

Ahmet Cinar

2023/11

Comparison of Computed Tomography-Based Artificial Intelligence Modeling and Magnetic Resonance Imaging in Diagnosis of Cholesteatoma

The Journal of International Advanced Otology

Orkun Eroğlu

Yeşim Eroğlu

Muhammed Yıldırım

Turgut Karlıdag

Ahmet Çınar

...

2023/7

An explainable deep learning model to prediction dental caries using panoramic radiograph images

Diagnostics

Faruk Oztekin

Oguzhan Katar

Ferhat Sadak

Muhammed Yildirim

Hakan Cakar

...

2023/1/7

Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds

Computers in Biology and Medicine

Sinem Akyol

Muhammed Yildirim

Bilal Alatas

2023

Classification of the images (Plant-21) in the dataset created with 21 different Euphorbia Taxons with the developed AI-based hybrid model

Signal, Image and Video Processing

Murat Kursat

Muhammed Yildirim

Irfan Emre

2023/11

A CNN approach for enhanced epileptic seizure detection through EEG analysis

Healthcraft Front

N Yucel

HB Mutlu

F Durmaz

E Cengil

M Yildirim

2023

Classification of tea leaves diseases by developed CNN, feature fusion, and classifier based model

International Journal of Applied Mathematics Electronics and Computers

Nadide YÜCEL

Muhammed Yildirim

2023/3/31

Image Visualization and Classification Using Hydatid Cyst Images with an Explainable Hybrid Model

Applied Sciences

Muhammed Yildirim

2023/9/2

Performances of Pre-Trained Models in Classification of Body Cavity Fluid Cytology Images

Nadide Yücel

Muhammed Yildirim

Serpil Aslan

2023

Automatic classification of particles in the urine sediment test with the developed artificial intelligence-based hybrid model

Diagnostics

Muhammed Yildirim

Harun Bingol

Emine Cengil

Serpil Aslan

Muhammet Baykara

2023/3/30

Classification of satellite images for ecology management using deep features obtained from convolutional neural network models

Iran Journal of Computer Science

Erdal Özbay

Muhammed Yıldırım

2023/9

Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model

Iran Journal of Computer Science

Muhammed Yildirim

Emine Cengil

Yeşim Eroglu

Ahmet Cinar

2023/12

See List of Professors in Muhammed YILDIRIM University(Firat Üniversitesi)