Ghulam Gilanie
TitleCited byYear
Colorization and automated segmentation of human T2 MR brain images for characterization of soft tissues
M Attique, G Gilanie, MS Mehmood, MS Naweed, M Ikram, JA Kamran, ...
PloS one 7 (3), e33616, 2012
202012
Object extraction from T2 weighted brain MR image using histogram based gradient calculation
G Gilanie, M Attique, S Naweed, E Ahmed, M Ikram
Pattern Recognition Letters 34 (12), 1356-1363, 2013
182013
Classification of Normal and Abnormal Brain MRI Slices using Gabor Texture and Support Vector Machines
MN Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mehmood Waraich, Zulfiqar ...
Signal Image and Video Processing 1 (1), 1-8, 2017
9*2017
M-mode swept source optical coherence tomography for quantification of salt concentration in blood: an in vitro study
H Ullah, G Gilanie, M Attique, MY Hamza, M Ikram
Laser Physics 22 (5), 1002-1010, 2012
92012
Autocorrelation optical coherence tomography for glucose quantification in blood
H Ullah, G Gilanie, F Hussain, E Ahmad
Laser Physics Letters 12 (12), 125602, 2015
82015
Automatic enhancement of digital images using cubic Bézier curve and Fourier transformation
K Asghar, G Gilanie, M Saddique, Z Habib
Malaysian Journal of Computer Science 30 (4), 300-310, 2017
42017
Colored Representation of Brain Gray Scale MRI Images to potentially underscore the variability and sensitivity of images
ZH Ghulam Gilanie, Hafeez Ullah, Mustansar Mehmood, Usama Ijaz Bajwa
Current Medical Imaging Reviews 13 (4), 1-6, 2017
3*2017
Computer aided diagnosis of brain abnormalities using texture analysis of MRI images
G Gilanie, UI Bajwa, MM Waraich, Z Habib
International Journal of Imaging Systems and Technology, 0
1
Automated Detection and Classification of Brain Tumor From MRI Images using Machine Learning Methods
G Gilanie
COMSATS Institute of Information Technology, Islamabad, 2019
2019
Computer-Aided Detection (CADe) System for Detection of Malignant Lung Nodules in CT Slices-a Key for Early Lung Cancer Detection
UI Bajwa, AA Shah, MW Anwar, G Gilanie, A Ejaz Bajwa
Current Medical Imaging Reviews 14 (3), 422-429, 2018
2018
Classification of chronic kidney diseases with statistical analysis of textural parameters: a data mining technique
HU Janjua, A Jahangir, G Gilanie
International Journal of Optical Sciences 4 (1), 1-7, 2018
2018
Spectroscopy of T2 weighted brain MR image for object extraction using prior anatomical knowledge based spectroscopic histogram analysis
G Gilanie
2017
Classification of liver cirrhosis with statistical analysis of texture parameters
HU Janjua, F Andleeb, S Aftab, F Hussain, G Gilanie
International Journal of Optical Sciences 3 (2), 18-25, 2017
2017
Computer-Aided Detection (CADe) System for Detection Of Malignant Lung Nodules In CT Slices – A Key For Early Lung Cancer Detection
AEB Usama Ijaz Bajwa, Abdullah Ali Shah, Muhammad Waqas, Ghulam Gilanie
Current Medical Imaging Reviews 34 (4), 1-8, 2017
2017
Automatic Enhancement of Digital Images using Cubic Bézier Curve and Fourier Transformation
HZ Asghar K, Gilanie G., Saddique M,
Malaysian Journal of Computer Science (MJCS) 1 (1), 1-9, 2016
2016
Automated and reliable brain radiology with texture analysis of magnetic resonance imaging and cross datasets validation
G Gilanie, UI Bajwa, MM Waraich, Z Habib
International Journal of Imaging Systems and Technology, 0
Classification of Brain Tumor with Statistical Analysis of Texture Parameter Using a Data Mining Technique
H Ullah, A Batool, G Gilanie
Classification of Chronic Kidney Diseases with Statistical Analysis of Textural Parameters: A Data Mining Technique
H Ullah, A Jahangir, G Gilanie
Classification of Liver Cirrhosis with Statistical Analysis of Texture Parameters
H Ullah, F Andleeb, S Aftab, F Hussain, G Gilanie
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Articles 1–19