Muhammad Aksam Iftikhar

According to our database, Muhammad Aksam Iftikhar authored at least 25 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images.

Rehan Raza, Fatima Zulfiqar, Muhammad Owais Khan, Muhammad Arif, Atif Alvi, Muhammad Aksam Iftikhar, Tanvir Alam

Eng. Appl. Artif. Intell., November, 2023

Automated White Matter Segmentation in MR Images Using Residual UNet.

Yaqeen Ali, Muhammad Aksam Iftikhar, Qamar Abbas, Tayyab Wahab

Proceedings of the 4th International Conference on Advancements in Computational Sciences, 2023

2022

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., November, 2022

2021

Energy Efficient Proactive Routing Scheme for Enabling Reliable Communication in Underwater Internet of Things.

Umar Draz, Amjad Ali, Muhammad Bilal, Tariq Ali, Muhammad Aksam Iftikhar, Alireza Jolfaei, Doug Young Suh

IEEE Trans. Netw. Sci. Eng., 2021

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, Muhammad Shahid

Pattern Anal. Appl., 2019

Stochastic game-based dynamic information delivery system for wireless cooperative networks.

Li Feng, Amjad Ali, Hannan Bin Liaqat, Muhammad Aksam Iftikhar, Ali Kashif Bashir, Sangheon Pack

Future Gener. Comput. Syst., 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

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma.

Saima Rathore, Muhammad Aksam Iftikhar, Metin N. Gurcan, Zissimos Mourelatos

CoRR, 2019

Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling.

Adnan Idris, Muhammad Aksam Iftikhar, Zia ur Rehman

Clust. Comput., 2019

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images.

Lal Hussain, Amjad Ali, Saima Rathore, Sharjil Saeed, Adnan Idris, Muhammad Usama Usman, Muhammad Aksam Iftikhar, Doug Young Suh

IEEE Access, 2019

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

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

Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018

2017

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

2016

Visual object tracking - classical and contemporary approaches.

Ahmad Ali, Abdul Jalil, Jianwei Niu, Xiaoke Zhao, Saima Rathore, Javed Ahmed, Muhammad Aksam Iftikhar

Frontiers Comput. Sci., 2016

Ensemble Sparse Classification of Colon Cancer.

Saima Rathore, Muhammad Aksam Iftikhar, Mehdi Hassan

Proceedings of the International Conference on Frontiers of Information Technology, 2016

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

Novel structural descriptors for automated colon cancer detection and grading.

Saima Rathore, Mutawarra Hussain, Muhammad Aksam Iftikhar, Abdul Jalil

Comput. Methods Programs Biomed., 2015

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

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 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

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

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

A novel approach for ensemble clustering of colon biopsy images.

Saima Rathore, Muhammad Aksam Iftikhar, Mutawarra Hussain, Abdul Jalil

Proceedings of the 11th International Conference on Frontiers of Information Technology, 2013

2011

Texture Analysis for Liver Segmentation and Classification: A Survey.

Saima Rathore, Muhammad Aksam Iftikhar, Mutawarra Hussain, Abdul Jalil

Proceedings of the 2011 Frontiers of Information Technology, 2011