Multistage segmentation model and SVM-ensemble for precise lung nodule detection SM Naqi, M Sharif, M Yasmin International journal of computer assisted radiology and surgery 13, 1083-1095, 2018 | 69 | 2018 |
Lung nodule detection using polygon approximation and hybrid features from CT images SM Naqi, M Sharif, M Yasmin, SL Fernandes Current Medical Imaging 14 (1), 108-117, 2018 | 66 | 2018 |
Lung nodule detection and classification based on geometric fit in parametric form and deep learning SM Naqi, M Sharif, A Jaffar Neural Computing and Applications 32 (9), 4629-4647, 2020 | 62 | 2020 |
Bayesian classification using DCT features for brain tumor detection Q Ain, I Mehmood, SM Naqi, MA Jaffar International Conference on Knowledge-Based and Intelligent Information and …, 2010 | 49 | 2010 |
A 3D nodule candidate detection method supported by hybrid features to reduce false positives in lung nodule detection SM Naqi, M Sharif, IU Lali Multimedia Tools and Applications 78, 26287-26311, 2019 | 43 | 2019 |
Recent developments in computer aided diagnosis for lung nodule detection from CT images: a review S M Naqi, M Sharif Current Medical Imaging 13 (1), 3-19, 2017 | 16 | 2017 |
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 | 10 | 2023 |
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images S Gull, S Akbar, SM Naqi International Journal of Imaging Systems and Technology 33 (5), 1745-1766, 2023 | 5 | 2023 |
Covid-19 prediction infrastructure using deep learning G Bekaroo Workshop Proceedings of the 19th International Conference on Intelligent …, 2023 | 2 | 2023 |
DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems D Ramachandran, SM Naqi, G Perumal, Q Abbas Sensors 23 (20), 8448, 2023 | 1 | 2023 |
DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model MZ Sajid, MF Hamid, A Youssef, J Yasmin, G Perumal, I Qureshi, SM Naqi, ... Diagnostics 13 (16), 2645, 2023 | 1 | 2023 |