Sajid Iqbal

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

Farheen Ramzan, Muhammad Usman Ghani Khan, Asim Rehmat et al. · Journal of Medical Systems · 2019 · 416 citations

Neuroimaging Biomarkers, Neurodegenerative Diseases, Alzheimer's Disease +12

Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)

Sajid Iqbal, Muhammad Usman Ghani, Tanzila Saba et al. · Microscopy Research and Technique · 2018 · 242 citations

Convolutional Neural Network, Medical Image Segmentation, Engineering +20

Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification

Amjad Rehman, Siraj M. Khan, Majid Harouni et al. · Microscopy Research and Technique · 2021 · 228 citations

Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation

Sajid Iqbal, Muhammad Usman Ghani Khan, Tanzila Saba et al. · Microscopy Research and Technique · 2019 · 119 citations

Feature enhancement framework for brain tumor segmentation and classification

Bilal Tahir, Sajid Iqbal, M. Usman Ghani Khan et al. · Microscopy Research and Technique · 2019 · 114 citations