Texture Analysis for Liver Segmentation and Classification: A Survey. - Saima Rathore; Muhammad Aksam Iftikhar; Mutawarra Hussain; Abdul Jalil (FIT, 2011)

A novel approach for ensemble clustering of colon biopsy images. - Saima Rathore; Muhammad Aksam Iftikhar; Mutawarra Hussain; Abdul Jalil (FIT, 2013)

Brain MRI denoizing and segmentation based on improved adaptive nonlocal means. - Muhammad Aksam Iftikhar; Abdul Jalil; Saima Rathore; Ahmad Ali; Mutawarra Hussain (Int. J. Imaging Syst. Technol., 2013)

Ensemble classification of colon biopsy images based on information rich hybrid features. - Saima Rathore; Mutawarra Hussain; Muhammad Aksam Iftikhar; Abdul Jalil (Comput. Biol. Medicine, 2014)

Robust information gain based fuzzy c-means clustering and classification of carotid artery ultrasound images. - Mehdi Hassan; Asmatullah Chaudhry; Asifullah Khan; Muhammad Aksam Iftikhar (Comput. Methods Programs Biomed., 2014)

An extended non-local means algorithm: Application to brain MRI. - Muhammad Aksam Iftikhar; Abdul Jalil; Saima Rathore; Ahmad Ali; Mutawarra Hussain (Int. J. Imaging Syst. Technol., 2014)

Robust brain MRI denoising and segmentation using enhanced non-local means algorithm. - Muhammad Aksam Iftikhar; Abdul Jalil; Saima Rathore; Mutawarra Hussain (Int. J. Imaging Syst. Technol., 2014)

Novel structural descriptors for automated colon cancer detection and grading. - Saima Rathore; Mutawarra Hussain; Muhammad Aksam Iftikhar; Abdul Jalil (Comput. Methods Programs Biomed., 2015)

Correlation, Kalman filter and adaptive fast mean shift based heuristic approach for robust visual tracking. - Ahmad Ali; Abdul Jalil; Javed Ahmed; Muhammad Aksam Iftikhar; Mutawarra Hussain (Signal Image Video Process., 2015)

Ensemble Sparse Classification of Colon Cancer. - Saima Rathore; Muhammad Aksam Iftikhar; Mehdi Hassan (FIT, 2016)

Visual object tracking - classical and contemporary approaches. - Ahmad Ali; Abdul Jalil; Jianwei Niu 002; Xiaoke Zhao; Saima Rathore; Javed Ahmed; Muhammad Aksam Iftikhar (Frontiers Comput. Sci., 2016)

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages. - Saima Rathore; Mohamad Habes; Muhammad Aksam Iftikhar; Amanda Shacklett; Christos Davatzikos (NeuroImage, 2017)

Object Size Measurement through Images: An Application to Measuring Human Foot Size. - Muhammad Ahmad Shahid; Muhammad Aksam Iftikhar; Zaheer Ahmad Gondal; Muhammad Adnan; Saima Rathore (FIT, 2018)

A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning. - Yousra Asim; Basit Raza; Ahmad Kamran Malik; Saima Rathore; Lal Hussain; Muhammad Aksam Iftikhar (Int. J. Imaging Syst. Technol., 2018)

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images. - Lal Hussain; Amjad Ali 002; Saima Rathore; Sharjil Saeed; Adnan Idris; Muhammad Usama Usman; Muhammad Aksam Iftikhar; Doug Young Suh (IEEE Access, 2019)

Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling. - Adnan Idris; Muhammad Aksam Iftikhar; Zia ur Rehman 001 (Clust. Comput., 2019)

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma. - Saima Rathore; Muhammad Aksam Iftikhar; Metin N. Gurcan; Zissimos Mourelatos (CoRR, 2019)

Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning. - Saima Rathore; Muhammad Aksam Iftikhar; Zissimos Mourelatos (CoRR, 2019)

Stochastic game-based dynamic information delivery system for wireless cooperative networks. - Li Feng 003; Amjad Ali 002; Hannan Bin Liaqat; Muhammad Aksam Iftikhar; Ali Kashif Bashir; Sangheon Pack (Future Gener. Comput. Syst., 2019)

A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends. - Khan Bahadar Khan; Amir A. Khaliq; Abdul Jalil; Muhammad Aksam Iftikhar; Najeeb Ullah; Muhammad Waqar Aziz; Kifayat Ullah 002; Muhammad Shahid (Pattern Anal. Appl., 2019)

Energy Efficient Proactive Routing Scheme for Enabling Reliable Communication in Underwater Internet of Things. - Umar Draz; Amjad Ali 002; Muhammad Bilal 003; Tariq Ali; Muhammad Aksam Iftikhar; Alireza Jolfaei; Doug Young Suh (IEEE Trans. Netw. Sci. Eng., 2021)

Automatic brain tumor segmentation from magnetic resonance images using superpixel-based approach. - Muhammad Javaid Iqbal; Usama Ijaz Bajwa; Ghulam Gilanie; Muhammad Aksam Iftikhar; Muhammad Waqas Anwar (Multim. Tools Appl., 2022)

Automated White Matter Segmentation in MR Images Using Residual UNet. - Yaqeen Ali; Muhammad Aksam Iftikhar; Qamar Abbas; Tayyab Wahab (ICACS, 2023)

Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images. - Rehan Raza; Fatima Zulfiqar; Muhammad Owais Khan; Muhammad Arif 012; Atif Alvi; Muhammad Aksam Iftikhar; Tanvir Alam (Eng. Appl. Artif. Intell., 2023)

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. - Saima Rathore; Muhammad Aksam Iftikhar; Ahmad Chaddad; Ashish Singh; Zeeshan Gillani; Ahmed Abdulkadir (Comput. Methods Programs Biomed., 2023)

A Sequential-Data Approach for Human Gait Parameter Estimation and Surgical Event Inference. - Shahzaib Hamid; Ikramullah Khosa; Muhammad Aksam Iftikhar; Muhammad Rehan Usman; Muhammad Arslan Usman (IEEE Access, 2024)

A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation. - Atifa Kalsoom; Muhammad Aksam Iftikhar; Amjad Ali 002; Zubair Shah; Shidin Balakrishnan; Hazrat Ali (CoRR, 2025)