Deep learning for medical image processing: Overview, challenges and the future MI Razzak, S Naz, A Zaib Classification in BioApps: Automation of decision making, 323-350, 2018 | 1394 | 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, 1-19 [JCR 2018 IF 1.922 ], 2019 | 513 | 2019 |
Leveraging big data analytics in healthcare enhancement: Trends, challenges and opportunities A Rehman, S Naz, I Razzak Multimedia Systems, 2021 | 183 | 2021 |
The optical character recognition of Urdu-like cursive scripts S Naz, K Hayat, M Imran Razzak, M Waqas Anwar, SA Madani, SU Khan Pattern Recognition (JCR 2014 IF: 3.096 ) 47 (3), 1229-1248, 2014 | 156 | 2014 |
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 (JCR 2017 IF: 3.241), 2017 | 124 | 2017 |
Writer identification using machine learning approaches: a comprehensive review A Rehman, S Naz, MI Razzak Multimedia Tools and Applications, 1-43 [JCR 2018 IF 2.101], 2019 | 108 | 2019 |
Automatic visual features for writer identification: a deep learning approach A Rehman, S Naz, MI Razzak, IA Hameed IEEE Access 7, 17149-17157 [JCR 2018 IF 4.098], 2019 | 106 | 2019 |
Handwriting dynamics assessment using deep neural network for early identification of Parkinson’s disease Iqra, S Kamran, M Naz, I Razzak Future Generation Computer Systems 117, 234-244, 2021 | 104 | 2021 |
Handwritten Urdu character recognition using one-dimensional BLSTM classifier SB Ahmed, S Naz, S Swati, MI Razzak Neural Computing and Applications 32 (4), 1143–1151 [ JCR 2019 IF 4.664], 2019 | 104 | 2019 |
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 | 100 | 2017 |
Improving coronavirus (COVID-19) diagnosis using deep transfer learning A Rehman, S Naz, A Khan, A Zaib, I Razzak Proceedings of International Conference on Information Technology and …, 2022 | 93 | 2022 |
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, I Siddiqi, MI Razzak Neurocomputing 177, 228–241 (JCR 2016 IF: 3.317), 2016 | 92 | 2016 |
Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset S Naz, A Ashraf, A Zaib Multimedia Systems 28 (1), 85-94, 2022 | 88 | 2022 |
Classification in bioApps MI Razzak, S Naz, A Zaib, N Dey, A Ashour, S Borra Cham: Springer, 323-350, 2018 | 84 | 2018 |
Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, MI Razzak Neural Computing and Applications (JCR 2017 IF:4.213) 28 (2), 219–231, 2017 | 84 | 2017 |
Deep transfer learning for alzheimer neurological disorder detection A Ashraf, S Naz, SH Shirazi, I Razzak, M Parsad Multimedia Tools and Applications, 1-26, 2021 | 83 | 2021 |
Evaluation of cursive and non-cursive scripts using recurrent neural networks A Saad Bin, N Saeeda, R Muhammad Imran, R Shiekh Faisal, ... Neural Computing and Applications 27 (3), 603-613 (JCR 2016 IF: 2.505), 2015 | 78* | 2015 |
A Deep Learning based Arabic Script Recognition System: Benchmark on KHAT R Ahmad, S Naz, M Afzal, S Rashid, M Liwicki, A Dengel International Arab Journalof Information Technology (IAJIT), 2020 | 68* | 2020 |
Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities K Bibi, S Naz, AJCRIF Rehman Multimedia Tools and Applications, 1-52 [JCR 2018 IF 2.202], 2019 | 62 | 2019 |
Deep Learning based Isolated Arabic Scene Character Recognition SB Ahmed, S Naz, MI Razzak, Rubiyah Yusof Conference: Arabic Script Analysis and Recognition (ASAR), At Nancy, France 1, 2017 | 58 | 2017 |