Ghulam Gilanie

Orcid: 0000-0001-6880-8506

According to our database1, Ghulam Gilanie authored at least 18 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Automated detection and classification of psoriasis types using deep neural networks from dermatology images.
Signal Image Video Process., February, 2024

2023
Dental radiology: a convolutional neural network-based approach to detect dental disorders from dental images in a real-time environment.
Multim. Syst., December, 2023

An automated and risk free WHO grading of glioma from MRI images using CNN.
Multim. Tools Appl., 2023

A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images.
IEEE Access, 2023

Water Classification Using Convolutional Neural Network.
IEEE Access, 2023

2022
Automatic brain tumor segmentation from magnetic resonance images using superpixel-based approach.
Multim. Tools Appl., November, 2022

Early Stage Detection of Cardiac Related Diseases by Using Artificial Neural Network.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

The Comparative Performance of Machine Learning Models for COVID-19 Sentiment Analysis.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

FERNet: A Convolutional Neural Networks Based Robust Model to Recognize Human Facial Expressions.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

Refined Sentiment Analysis by Ensembling Technique of Stacking Classifier.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

2021
Reconstruction of scene using corneal reflection.
Multim. Tools Appl., 2021

Risk-free WHO grading of astrocytoma using convolutional neural networks from MRI images.
Multim. Tools Appl., 2021

RiceNet: convolutional neural networks-based model to classify Pakistani grown rice seed types.
Multim. Syst., 2021

Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks.
Biomed. Signal Process. Control., 2021

2019
Automated and reliable brain radiology with texture analysis of magnetic resonance imaging and cross datasets validation.
Int. J. Imaging Syst. Technol., 2019

Computer aided diagnosis of brain abnormalities using texture analysis of MRI images.
Int. J. Imaging Syst. Technol., 2019

2018
Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines.
Signal Image Video Process., 2018

2013
Object extraction from T2 weighted brain MR image using histogram based gradient calculation.
Pattern Recognit. Lett., 2013


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