Muhammad Almas Anjum

Author

Also Known As

Anjum, Muhammad Zeeshan, M Almas Anjum, M. A Anjum, M. A. Anjum, M. Almas Anjum, M. Anjum, M.A. Anjum, Mohammad Okasha Anjum, Muhammad Almas Anjum

Publications

2.1K

Citations

H-Index

114

Concepts

All Affiliations

COMSATS University Islamabad University of Wah National University of Technology National University of Sciences and Technology Lebanese American University

About

Muhammad Almas Anjum is an author at COMSATS University Islamabad specializing in engineering, pattern recognition, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	32	1.9K
2	Medicine	14	14	1.2K
3	Health Sciences	4	4	148
4	Social Sciences	2	2	119
5	Natural Sciences	1	1	13

Muhammad Almas Anjum

Publications

2.1K

Citations

H-Index

Page 1

	Year	Citations
Brain tumor detection using statistical and machine learning method Javaria Amin, Muhammad Sharif, Mudassar Raza, Computer Methods and Programs in Biomedicine Neuro-oncologyEngineeringMachine LearningMedical ImagingPattern Recognition	2019	267
Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning Javaria Amin, Muhammad Sharif, Nadia Gul, Journal of Medical Systems Neuro-oncologyConvolutional Neural NetworkEngineeringMachine LearningMedical Imaging	2019	172
A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning Muhammad Sharif, Mussarat Yasmin, Tanzila Saba, Journal of Medical Systems Multilevel FusionNeuro-oncologyImage AnalysisEngineeringMedical Imaging	2019	146
Integrated design of deep features fusion for localization and classification of skin cancer Abida Sharif, Nadia Gul, Muhammad Almas Anjum, Pattern Recognition Letters Dermoscopic ImageImage AnalysisMachine LearningMachine VisionEngineering	2019	129
Brain tumor detection based on extreme learning Muhammad Sharif, Javaria Amin, Mudassar Raza, Neural Computing and Applications Neuro-oncologyEngineeringMedical ImagingExtreme Learning MachineBiomedical Imaging	2020	120
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier Muhammad Almas Anjum, Muhammad Sharif, Saima Jabeen, Computational Intelligence and Neuroscience EngineeringMachine LearningSocial SciencesDiagnostic ImagingPituitary Tumor	2022	106
A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models Saba Saleem, Muhammad Sharif, Muhammad Almas Anjum, Complex & Intelligent Systems Convolutional Neural NetworkEngineeringMachine LearningPathologyLeukemia Segmentation	2021	87
Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Cognitive Systems Research Convolutional Neural NetworkEngineeringBatch NormalizationBrain LesionGlioma	2019	84
Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network Muhammad Almas Anjum, Javaria Amin, Muhammad Sharif, IEEE Access Convolutional Neural NetworkEngineeringMachine LearningPathologyBiomedical Engineering	2020	75
A unified patch based method for brain tumor detection using features fusion Muhammad Sharif, Javaria Amin, Muhammad Wasif Nisar, Cognitive Systems Research EngineeringFeature DetectionMulti-image FusionNeuro-oncologyImage Analysis	2019	70

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