| A systematic review of finger vein recognition techniques K Shaheed, H Liu, G Yang, I Qureshi, J Gou, Y Yin Information 9 (9), 213, 2018 | 135 | 2018 |
| Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning I Qureshi, J Ma, Q Abbas Multimedia Tools and Applications 80 (8), 11691-11721, 2021 | 107 | 2021 |
| Recent development on detection methods for the diagnosis of diabetic retinopathy I Qureshi, J Ma, Q Abbas Symmetry 11 (6), 749, 2019 | 102 | 2019 |
| DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition K Shaheed, A Mao, I Qureshi, M Kumar, S Hussain, I Ullah, X Zhang Expert Systems with Applications 191, 116288, 2022 | 99 | 2022 |
| Recent advancements in finger vein recognition technology: methodology, challenges and opportunities K Shaheed, A Mao, I Qureshi, M Kumar, S Hussain, X Zhang Information Fusion 79, 84-109, 2022 | 63 | 2022 |
| Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends I Qureshi, J Yan, Q Abbas, K Shaheed, AB Riaz, A Wahid, MWJ Khan, ... Information Fusion 90, 316-352, 2023 | 62 | 2023 |
| A hybrid proposed fundus image enhancement framework for diabetic retinopathy I Qureshi, J Ma, K Shaheed Algorithms 12 (1), 14, 2019 | 41 | 2019 |
| A systematic review on physiological-based biometric recognition systems: current and future trends K Shaheed, A Mao, I Qureshi, M Kumar, Q Abbas, I Ullah, X Zhang Archives of Computational Methods in Engineering, 1-44, 2021 | 39 | 2021 |
| Glaucoma detection in retinal images using image processing techniques: a survey I Qureshi International Journal of Advanced Networking and Applications 7 (2), 2705, 2015 | 37 | 2015 |
| FACE RECOGNITION TECHNIQUES AND APPROACHES: A SURVEY. M Naeem, I Qureshi, F Azam Science International 27 (1), 2015 | 37 | 2015 |
| Detection of glaucoma based on cup-to-disc ratio using fundus images I Qureshi, J Ma, M Attique Khan, M Sharif, Tanzila Saba Int. J. Intelligent Systems Technologies and Applications 19 (1), 1-16, 2020 | 35 | 2020 |
| Finger-vein presentation attack detection using depthwise separable convolution neural network K Shaheed, A Mao, I Qureshi, Q Abbas, M Kumar, X Zhang Expert Systems with Applications 198, 116786, 2022 | 29 | 2022 |
| Cpu scheduling algorithms: A survey I Qureshi International Journal of Advanced Networking and Applications 5 (4), 1968, 2014 | 29 | 2014 |
| An automatic detection and classification system of five stages for hypertensive retinopathy using semantic and instance segmentation in DenseNet architecture Q Abbas, I Qureshi, MEA Ibrahim Sensors 21 (20), 6936, 2021 | 25 | 2021 |
| Global context-aware multi-scale features aggregative network for salient object detection I Ullah, M Jian, S Hussain, L Lian, Z Ali, I Qureshi, J Guo, Y Yin Neurocomputing 455, 139-153, 2021 | 25 | 2021 |
| Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities Q Abbas, I Qureshi, J Yan, K Shaheed Archives of Computational Methods in Engineering 29 (6), 3861-3918, 2022 | 24 | 2022 |
| Computer aided systems for diabetic retinopathy detection using digital fundus images: A survey I Qureshi, M Sharif, M Yasmin, M Raza, M Y Javed Current Medical Imaging 12 (4), 234-241, 2016 | 22 | 2016 |
| VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions G Perumal, G Subburayalu, Q Abbas, SM Naqi, I Qureshi Systems 11 (8), 436, 2023 | 9 | 2023 |
| Computer-aided detection of hypertensive retinopathy using depth-wise separable cnn I Qureshi, Q Abbas, J Yan, A Hussain, K Shaheed, AR Baig Applied Sciences 12 (23), 12086, 2022 | 8 | 2022 |
| Neural network based software effort estimation: a survey MW Khan, I Qureshi International Journal of Advanced Networking and Applications 5 (4), 1990, 2014 | 8 | 2014 |
Dr. Qaisar Abbas, IEEE MemberImam Mohammad Ibn Saud Islamic University (IMSIU)確認したメール アドレス: imamu.edu.sa
