On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks von Iqbal, Saeed, N. Qureshi, Adnan, Li, Jianqiang, Mahmood, Tariq

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A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern von Iqbal, Saeed, Qureshi, Adnan N.

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Dynamic learning for imbalanced data in learning chest X-ray and CT images von Iqbal, Saeed, Qureshi, Adnan N., Li, Jianqiang, Choudhry, Imran Arshad, Mahmood, Tariq

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Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning von Iqbal, Saeed, Qureshi, Adnan N., Ullah, Amin, Li, Jianqiang, Mahmood, Tariq

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Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification von Iqbal, Saeed, Qureshi, Adnan N, Alhussein, Musaed, Aurangzeb, Khursheed, Choudhry, Imran Arshad, Anwar, Muhammad Shahid

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Detection of Lung Nodules on X-ray Using Transfer Learning and Manual Features von Arshad Choudhry, Imran, N. Qureshi, Adnan

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A Novel Heteromorphous Convolutional Neural Network for Automated Assessment of Tumors in Colon and Lung Histopathology Images von Iqbal, Saeed, Qureshi, Adnan N, Alhussein, Musaed, Aurangzeb, Khursheed, Kadry, Seifedine

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Hybrid Diagnostic Model for Improved COVID-19 Detection in Lung Radiographs Using Deep and Traditional Features von Choudhry, Imran Arshad, Qureshi, Adnan N, Aurangzeb, Khursheed, Iqbal, Saeed, Alhussein, Musaed

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From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence von Iqbal, Saeed, Qureshi, Adnan N., Khan, Faheem, Aurangzeb, Khursheed, Azeem Akbar, Muhammad

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Fusion of Textural and Visual Information for Medical Image Modality Retrieval using Deep Learning-Based Feature Engineering von Iqbal, Saeed, Qureshi, Adnan N., Alhussein, Musaed, Choudhry, Imran Arshad, Aurangzeb, Khursheed, Khan, Tariq M.

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Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting von Mahmood, Atif, Mat Kiah, Miss Laiha, Reza Z'Aba, Muhammad, Qureshi, Adnan N., Kassim, Muhammad Shahreeza Safiruz, Azizul Hasan, Zati Hakim, Kakarla, Jagadeesh, Sadegh Amiri, Iraj, Azzuhri, Saaidal Razalli

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AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box von Iqbal, Saeed, Qureshi, Adnan N., Alhussein, Musaed, Aurangzeb, Khursheed, Anwar, Muhammad Shahid

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Deep-Hist: Breast cancer diagnosis through histopathological images using convolution neural network von Iqbal, Saeed, Qureshi, Adnan N.

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Hybridization of CNN with LBP for Classification of Melanoma Images von Iqbal, Saeed, N. Qureshi, Adnan, Mustafa, Ghulam

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Privacy-preserving collaborative AI for distributed deep learning with cross-sectional data von Iqbal, Saeed, Qureshi, Adnan N., Alhussein, Musaed, Aurangzeb, Khursheed, Javeed, Khalid, Ali Naqvi, Rizwan

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Defending Adversarial Examples by a Clipped Residual U-Net Model von Ali, Kazim, N. Qureshi, Adnan, Shahid Bhatti, Muhammad, Sohail, Abid, Hijji, Mohammad

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Disrupting the Rote Learning Loop: CS Majors Iterating Over Learning Modules with an Adaptive Educational Hypermedia von Hassan, Muhammad Mustafa, Qureshi, Adnan N.

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Experimenting with Polymorphic Creativity Support Tools to Support Innovation in Participatory Ideation von Hassan, Muhammad Mustafa, Choudhry, Imran Arshad, Tukiainen, Markku, Qureshi, Adnan N.

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Wireless backhaul network’s capacity optimization using time series forecasting approach von Mahmood, Atif, Kiah, Miss Laiha Mat, Azzuhri, Saaidal Razalli, Kamal, Muhammad Mustafa, Eldabi, Tillal, Qureshi, Adnan N., Azizul, Zati Hakim, Z’aba, Muhammad Reza

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Content Based Video Retrieval Using Convolutional Neural Network von Iqbal, Saeed, Qureshi, Adnan N, Lodhi, Awais M.

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