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Khalil ur Rehman. Ph.D.
Khalil ur Rehman. Ph.D.
College of Mechatronics and Control Engineering, Shenzhen University China
Verified email at szu.edu.cn
Title
Cited by
Cited by
Year
A brief survey on breast cancer diagnostic with deep learning schemes using multi-image modalities
T Mahmood, J Li, Y Pei, F Akhtar, A Imran, KU Rehman
IEEE Access 8, 165779-165809, 2020
912020
The Foremost Guidelines for Achieving Higher Ranking in Search Results through Search Engine Optimization
DMNAK Khalil ur Rehman
International Journal of Advance Science and Technology 52, 101-110, 2013
812013
An efficient and improved scheme for handwritten digit recognition based on convolutional neural network
S Ali, Z Shaukat, M Azeem, Z Sakhawat, T Mahmood, K ur Rehman
SN Applied Sciences 1, 1-9, 2019
742019
A comprehensive survey on brain tumor diagnosis using deep learning and emerging hybrid techniques with multi-modal MR image
S Ali, J Li, Y Pei, R Khurram, KU Rehman, T Mahmood
Archives of computational methods in engineering 29 (7), 4871-4896, 2022
422022
Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network
RK ur, L Jianqiang, Y Pei, A Yasin, S Ali, T Mahmood
Sensors 21 (14), 4854, 2021
422021
Architectural distortion-based digital mammograms classification using depth wise convolutional neural network
K Rehman, J Li, Y Pei, A Yasin, S Ali, Y Saeed
Biology 11 (1), 15, 2021
182021
State-of-the-art challenges and perspectives in multi-organ cancer diagnosis via deep learning-based methods
S Ali, J Li, Y Pei, R Khurram, K Rehman, AB Rasool
Cancers 13 (21), 5546, 2021
162021
SEO: A unique approach to enhance the site rank by implementing Efficient Keywords Scheme
K Rehman, A Yasin, T Mahmood, M Azeem, S Ali
PeerJ Preprints 7, e27609v1, 2019
62019
A Comprehensive Survey on the Performance Analysis of Underwater Wireless Sensor Networks (UWSN) Routing Protocols
FM Tariq Mahmood, Faheem Akhter, Sher Muhammad, Khalil Ur Rehman, Muhammd Saqib
(IJACSA) International Journal of Advanced Computer Science and Applications …, 2019
6*2019
A review on machine learning techniques for the assessment of image grading in breast mammogram
KU Rehman, J Li, Y Pei, A Yasin
International Journal of Machine Learning and Cybernetics 13 (9), 2609-2635, 2022
42022
A Multi-module 3D U-Net Learning Architecture for Brain Tumor Segmentation
S Ali, J Li, Y Pei, KU Rehman
International Conference on Data Mining and Big Data, 57-69, 2022
12022
A Deep Learning-Based Approach for Mammographic Architectural Distortion Classification
K ur Rehman, J Li, Y Pei, A Yasin, S Ali
International Conference on Innovative Computing, 3-14, 2022
2022
A Feature Fusion-Based Approach for Mammographic Mass Classification Using Deep Learning
K ur Rehman, J Li, Y Pei, A Yasin, S Ali, Y Saeed
International Conference on Innovative Computing, 62-73, 2022
2022
Introducing robustness in DBR routing protocol
SM Tariq Mahmood,Faheem Akhtar, Khalil ur Rehman, Muhammad Azeem and Azhar Imran
Int. J. Communication Networks and Distributed Systems, 2018
2018
A Detailed Study on Temporal Data Visualization Techniques in Electronic Health Records
RS Aisha Younas, Muhammad Sheraz Arhsad Malik, Khalil-ur-Rehman
Sixth International Conference on Innovative Computing Technology (INTECH …, 2016
2016
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