Ghulam Gilanie
Orcid: 0000-0001-6880-8506
According to our database1,
Ghulam Gilanie
authored at least 18 papers
between 2013 and 2024.
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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
Multim. Tools Appl., 2023
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
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
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