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ORCIDKhurram Ejaz
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2020 – today
- 2023
[j4]Khurram Ejaz
, Norhaida Mohd. Suaib, Mohammad Shahid Kamal, Mohd Shafry Mohd Rahim, Nadim Rana:
Segmentation Method of Deterministic Feature Clustering for Identification of Brain Tumor Using MRI. IEEE Access 11: 39695-39712 (2023)- [d1]Khurram Ejaz:
Segmentation Method for Pathological Brain Tumor and Accurate Detection using MRI. IEEE DataPort, 2023
- 2022
- [j3]Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Yudong Zhang, Pallikonda Rajasekaran Murugan, Kannapiran Balasubramanian, Karunanithi Kandasamy, Khurram Ejaz:
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images. Biomed. Signal Process. Control. 78: 103866 (2022) - [j2]Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Ravipudi Venkata Rao Narayana, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Karunanithi Kandasamy, Khurram Ejaz:
A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(1): 96-111 (2022) - 2021
- [j1]Khurram Ejaz, Mohd Shafry Mohd Rahim, Usama Ijaz Bajwa, Huma Chaudhry, Amjad Rehman, Farhan Ejaz:
Hybrid Segmentation Method With Confidence Region Detection for Tumor Identification. IEEE Access 9: 35256-35278 (2021)
2010 – 2019
- 2019
- [c1]Khurram Ejaz, Mohd Shafry Mohd Rahim, Usama Ijaz Bajwa, Nadim Rana, Amjad Rehman:
An Unsupervised Learning with Feature Approach for Brain Tumor Segmentation Using Magnetic Resonance Imaging. ICBBB 2019: 1-7
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