Imran Razzak
Cited by
Cited by
Deep learning for medical image processing: Overview, challenges and the future
MI Razzak, S Naz, A Zaib
Classification in BioApps, 323-350, 2018
A deep learning-based framework for automatic brain tumors classification using transfer learning
A Rehman, S Naz, MI Razzak, F Akram, M Imran
Circuits, Systems, and Signal Processing 39, 757-775, 2020
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
TT Nguyen, QVH Nguyen, DT Nguyen, S Yang, PW Eklund, T Huynh-The, ...
arXiv preprint arXiv:2008.07343, 2020
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
U Naseem, I Razzak, M Khushi, PW Eklund, J Kim
IEEE transactions on computational social systems 8 (4), 1003-1015, 2021
Transformer based deep intelligent contextual embedding for twitter sentiment analysis
U Naseem, I Razzak, K Musial, M Imran
Future Generation Computer Systems 113, 58-69, 2020
Future smart cities requirements, emerging technologies, applications, challenges, and future aspects
AR Javed, F Shahzad, S ur Rehman, YB Zikria, I Razzak, Z Jalil, G Xu
Cities 129, 103794, 2022
Middle Eastern Character Recognition
A Belaı̈d, MI Razzak
Handbook of Document Image Processing and Recognition, 427-457, 2014
Big Data Analytics for Preventive Medicine
MI Razzak, M Imran, G Xu
Neural Computing Applications, 1-35, 2019
Saeeda Naz, and Ahmad Zaib
MI Razzak
Deep learning for medical image processing: Overview, challenges and the …, 2018
A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
U Naseem, I Razzak, SK Khan, M Prasad
Transactions on Asian and Low-Resource Language Information Processing 20 (5 …, 2021
The optical character recognition of Urdu-like cursive scripts
S Naz, K Hayat, MI Razzak, MW Anwar, SA Madani, SU Khan
Pattern Recognition 47 (3), 1229-1248, 2014
Efficient brain tumor segmentation with multiscale two-pathway-group conventional neural networks
MI Razzak, M Imran, G Xu
IEEE journal of biomedical and health informatics 23 (5), 1911-1919, 2018
Refining Parkinson’s Neurological Disorder Identification Through Deep Transfer Learning
A Naseer, M Rani, S Naz, MI Razzak, M Imran, G Xu
Neual Computing Applications, 1-19, 2019
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment
BB Gupta, K Yadav, I Razzak, K Psannis, A Castiglione, X Chang
Computer Communications 175, 47-57, 2021
Urdu Nastaliq recognition using convolutional–recursive deep learning
S Naz, AI Umar, R Ahmad, I Siddiqi, SB Ahmed, MI Razzak, F Shafait
Neurocomputing 243, 80-87, 2017
Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning
M Imran Razzak, S Naz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
A Rehman, S Naz, I Razzak
Multimedia Systems, 2021
Handwritten Urdu character recognition using one-dimensional BLSTM classifier
MI Ahmed, Saad Bin and Naz, Saeeda and Swati, Salahuddin and Razzak
Neural Computing and Applications, 2017
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
H Zogan, I Razzak, X Wang, S Jameel, G Xu
World Wide Web 25 (1), 281-304, 2022
Writer identification using machine learning approaches: a comprehensive review
A Rehman, S Naz, MI Razzak
Multimedia Tools and Applications 78, 10889-10931, 2019
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