| 1 | Saeed Iqbal and Adnan N Qureshi and Mukti Akter. ”Using Local Binary Patterns and Convolutional Neural Networks for Melanoma Detection” Springer, Intellisys Conference 2019, 5-6 September 2019 – London, United Kingdom |
| 1 | Saeed Iqbal and Adnan N Qureshi and Mukti Akter. ”Using Local Binary Patterns and Convolutional Neural Networks for Melanoma Detection”Proceedings of SAI Intelligent Systems Conference IntelliSys 2019: Intelligent Systems and Applications pp. 782–789 |
| 3 | Saeed Iqbal and Adnan N Qureshi and Awais M Lodhi. ”Content Based Video retrieval using Convolutional Neural Network”Proceedings of SAI Intelligent Systems Conference IntelliSys 2018: Intelligent Systems and Applications pp. 170–186 |
| 4 | Saeed Iqbal and Adnan N Qureshi and Awais M Lodhi. ”Content Based Video retrieval using Convolutional Neural Network”IEEE, Intellisys Conference 2018, 6-7 September 2018 – London, United Kingdom |
| 5 | Iqbal, Saeed, and Muhammad Shaheen. ”A machine learning based method for optimal journal classification.”In Internet Technology and Secured Transactions (ICITST), 2013 8th International Conference for, pp. 259-264. IEEE, 2013. |
| 6 | Shaheen, Muhammad, and Saeed Iqbal. ”Labeled clustering a unique method to label unsupervised classes.” In Information Science and Technology (ICIST), 2013 International Conference on, pp. 210-214. IEEE, 2013. |
| 7 | • Iqbal, Saeed, Shakir Ullah Shah, Mohammad Nauman, and Muhammad Amin. ”Extending Java Pathfinder (JPF) with property classes for verification of Android permission extension framework.”In System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on, pp. 15-20. IEEE, 2013 |
| 8 | Iqbal, Saeed Imran Arshad Choudhry and Kamran Shabbir ”Verification of Android Permission Extension Framework using SPF and JPF” The International Journal of Computer Science and Information Security (IJCSIS) – 2016 |
| 9 | Saeed Iqbal and Imran Arshad and Seemal Afza. ”Intelligent Buffer Management Policy in Post Disaster Network Using DTN” Springer, IntelliSys Conference 2020, 3-4 September 2020 – Amsterdam, The Netherlands |
| 10 | Saeed Iqbal and Adnan N Qureshi and Nata Selitskaya. ”A hybrid approach using CNN and Local Binary Patterns for diagnosis and classification of images of Melanoma cases” TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES by the Scientific and Technological Research Council of Turkey (TÜBİTAK) – ISSN: 1300-0632 , Submitted – Under Review. |
| 11 | Saeed Iqbal and Imran Arshad. ”Intelligent Buffer Management Policy in Post Disaster Network Using DTN ”5th IEEE International Conference on Computer and Communications (ICCC) Chengdu, China, Submitted – Accepted. |
| 12 | Shaheen, Muhammad and Iqbal, Saeed. ”Mining Quality Indicators to Rank Journals”Journal of IEEE Consumer Electronics Magazine, Production and Hosting by IEEE, Accepted |
| 13 | Shaheen, Muhammad and Iqbal, Saeed. ”Effective Journal ranking framework for consumers”Journal of IEEE Consumer Electronics Magazine, Production and Hosting by IEEE, Accepted |
| 14 | Shaheen, Muhammad and Iqbal, Saeed. ”Classification of International Science Journals.” Journal of Knowledge-based systems, Production and Hosting by Elsevier, Submitted – Under Review. |
| 15 | Iqbal, Saeed. ”Data Management in Cloud Computing Using RBAC” Journal of Zhejiang University Science C (Computers & Electronics), Production and Hosting by Springer, Submitted – Under Review |
| 16 | Iqbal, S., Qureshi, A. N., Alhussein, M., Aurangzeb, K., Choudhry, I. A., & Anwar, M. S. (2024). Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification. Frontiers in Computational Neuroscience, doi:10.3389/fncom.2024.1423051, impact factor: 2.1, Vol. 18, Frontiers, 1423051. |
| 17 | Iqbal, S., Qureshi, A. N., Aurangzeb, K., Alhussein, M., Zhang Y., & Syed, I. (2024). Adaptive Magnification Network for Precise Tumor Analysis in Histopathological Images, Computers in Human Behavior, doi: 10.1016/j.chb.2024.108222, impact factor: 9.9, Elsevier. |
| 18 | Iqbal, S., Qureshi, A. N., Aurangzeb, K., Alhussein, M., Wang, S., Anwar, M. S. & Khan, F. (2024). Hybrid Parallel Fuzzy CNN Paradigm: Unmasking Intricacies for Accurate Brain MRI Insights, IEEE TRANSACTIONS ON FUZZY SYSTEMS, doi: 10.1109/TFUZZ.2024.3372608, impact factor: 11.9, IEEE. |
| 19 | Iqbal, S., Qureshi, A. N., Aurangzeb, K., Alhussein, M., Haider, S. I., & Rida, I. (2023). AMIAC: Adaptive Medical Image Analyses and Classification, a Robust Self-Learning Framework. Neural Computing and Applications (NCAA), Springer, (2023), doi: 10.1007/s00521-023-09209-1, impact factor: 6.0, Springer. |
| 20 | Iqbal, S., Choudhry, I. A., & Lodhi, A. M. (2023). Intelligent Buffer Management Policy in Post Disaster Network Using DTN, IEEE 25$^{th}$ International Multi Topic Conference (INMIC), doi: 10.1109/INMIC60434.2023.10465769, IEEE. |
| 21 | Iqbal, S., Qureshi, A. N., Alhussein, M., Aurangzeb, K., & Anwar, M. S. (2023). AD-CAM: Enhancing Interpretability of Convolutional Neural Networks with a Lightweight Framework - From Black Box to Glass Box, IEEE Journal of Biomedical and Health Informatics, IEEE, doi: 10.1109/jbhi.2023.3329231, impact factor: 7.7, IEEE. |
| 22 | Iqbal, S., Qureshi, A. N., Alhussein, M., Mustafa, G., Aurangzeb, K., Javeed, K., & Naqvi, R. A. (2023). Privacy-Preserving Collaborative AI for Distributed Deep Learning with Cross-sectional Data, Multimedia Tools and Applications, Springer, (2023), doi: 10.1007/s11042-023-17202-y, impact factor: 3.6, Springer. |
| 23 | Iqbal, S., Qureshi, A. N., Alhussein, M., Mustafa, G., Aurangzeb, K., Javeed, K., & Naqvi, R. A. (2023). Privacy-Preserving Collaborative AI for Distributed Deep Learning with Cross-sectional Data, Multimedia Tools and Applications, Springer, (2023), doi: 10.1007/s11042-023-17202-y, impact factor: 3.6, Springer. |
| 24 | Choudhry, I. A., Qureshi, A. N., Aurangzeb, K., Iqbal, S., & Alhussein, M. (2023). Hybrid Diagnostic Model for Improved COVID-19 Detection in Lung Radiographs Using Deep and Traditional Features. Biomimetics, Vol. 8(5), 406, doi: 10.3390/biomimetics8050406, impact factor: 4.5, MDPI. |
| 25 | Iqbal, S., Qureshi, A. N., Alhussein, M., Mustafa, Choudhry, I. A., G., Aurangzeb, K., & Khan, T. M. (2023). Fusion of Textural and Visual Information for Medical Image Modality Retrieval using Deep Learning-Based Feature Engineering, IEEE ACCESS, IEEE, (2023), doi: 10.1109/ACCESS.2023.3310245, impact factor: 3.9, IEEE. |
| 26 | Iqbal, S., Qureshi, A. N., Alhussein, M., Aurangzeb, K., & Kadry, S. (2023). A Novel Heteromorphous Convolutional Neural Network for Automated Assessment of Tumors in Colon and Lung Histopathology Images. Biomimetics, 8(4), 370, doi: 10.3390/biomimetics8040370, impact factor: 4.5, MDPI. |
| 27 | Iqbal, S., Qureshi, A. N., Aurangzeb, K., & Javeed, K. (2023). Privacy-Preserving Collaborative AI for Distributed Deep Learning with Cross-sectional Data, IEEE 5$^{th}$ International Conference on Bio-engineering for Smart Technologies (BioSMART), Paris, France, doi: 10.1109/BioSMART58455.2023.10162106, 07-09 June 2023, IEEE. |
| 28 | Iqbal, S., Qureshi, A. N., Li, J., Arshad, I., & Mahmood, T. (2023). Dynamic Learning for Imbalance Data in Learning Chest X-Ray and CT Images. HELIYON, (2023), doi: 10.1016/j.heliyon.2023.e16807, impact factor: 3.776, Cell Press & Science Direct, Elsevier. |
| 29 | Iqbal, S., Qureshi, A. N., Li, J., & Mahmood, T. (2023). On the Analyses of Medical Images using Traditional Machine Learning Techniques and Convolutional Neural Networks, Springer Archives of Computational Methods in Engineering, doi: 10.1007/s11831-023-09899-9, impact factor: 8.171, Springer Nature. |
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