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Muhammad Junaid Ali
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2020 – today
- 2024
- [j6]Muhammad Junaid Ali, Mokhtar Essaid, Laurent Moalic, Lhassane Idoumghar:
A review of AutoML optimization techniques for medical image applications. Comput. Medical Imaging Graph. 118: 102441 (2024) - [c10]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Robust Neural Architecture Search Using Differential Evolution for Medical Images. EvoApplications@EvoStar 2024: 163-179 - [c9]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification. ICCS (2) 2024: 131-146 - 2023
- [j5]Usman Ahmad, Muhammad Junaid Ali, Faizan Ahmed Khan, Arfat Ahmad Khan, Arif Ur Rehman, Malik Muhammad Ali Shahid, Mohd Anul Haq, Ilyas Khan, Zamil S. Alzamil, Ahmed Alhussen:
Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture. Comput. Syst. Sci. Eng. 45(2): 2125-2140 (2023) - [c8]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification. GECCO Companion 2023: 263-266 - 2022
- [j4]Maria Nazir, Muhammad Junaid Ali, Zahid Tufail, Ahmad Raza Shahid, Basit Raza, Sadia Shakil, Khurram Khurshid:
Multi-task learning architecture for brain tumor detection and segmentation in MRI images. J. Electronic Imaging 31(5) (2022) - [c7]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Designing Attention Based Convolutional Neural Network (CNN) Architectures for Medical Image Classification Using Genetic Algorithm Based on Variable Length-Encoding Scheme. EA 2022: 173-186 - 2021
- [j3]Asra Rafi, Tahir Mustafa Madni, Uzair Iqbal Janjua, Muhammad Junaid Ali, Mian Muhammad Naeem Abid:
Multi-level dilated convolutional neural network for brain tumour segmentation and multi-view-based radiomics for overall survival prediction. Int. J. Imaging Syst. Technol. 31(3): 1519-1535 (2021) - [j2]Muhammad Junaid Ali, Basit Raza, Ahmad Raza Shahid:
Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data. J. Digit. Imaging 34(4): 905-921 (2021) - 2020
- [j1]Muhammad Junaid Ali, Basit Raza, Ahmad Raza Shahid, Fahad Mahmood, Muhammad Adil Yousuf, Amir Hanif Dar, Uzair Iqbal:
Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network. Int. J. Imaging Syst. Technol. 30(4): 1108-1118 (2020) - [c6]Muhammad Junaid Ali, Muhammad Tahir Akram, Hira Saleem, Basit Raza, Ahmad Raza Shahid:
Glioma Segmentation Using Ensemble of 2D/3D U-Nets and Survival Prediction Using Multiple Features Fusion. BrainLes@MICCAI (2) 2020: 189-199
2010 – 2019
- 2018
- [c5]Mubariz Rehman, Nadeem Javaid, Muhammad Junaid Ali, Talha Saif, Muhammad Hassaan Ashraf, Sadam Hussain Abbasi:
Threshold Based Load Balancer for Efficient Resource Utilization of Smart Grid Using Cloud Computing. 3PGCIC 2018: 167-179 - [c4]Talha Saif, Nadeem Javaid, Mubariz Rehman, Hanan Butt, Muhammad Babar Kamal, Muhammad Junaid Ali:
Round Robin Inspired History Based Load Balancing Using Cloud Computing. 3PGCIC 2018: 496-508 - [c3]Muhammad Junaid Ali, Nadeem Javaid, Mubariz Rehman, Muhammad Usman Sharif, Muhammad KaleemUllah Khan, Haris Ali Khan:
State Based Load Balancing Algorithm for Smart Grid Energy Management in Fog Computing. INCoS 2018: 220-232 - [c2]Muhammad KaleemUllah Khan, Nadeem Javaid, Shakeeb Murtaza, Maheen Zahid, Wajahat Ali Gilani, Muhammad Junaid Ali:
Efficient Energy Management Using Fog Computing. NBiS 2018: 286-299 - [c1]Muhammad Usman Sharif, Nadeem Javaid, Muhammad Junaid Ali, Wajahat Ali Gilani, Abdullah Sadam, Muhammad Hassaan Ashraf:
Optimized Resource Allocation in Fog-Cloud Environment Using Insert Select. NBiS 2018: 611-623
Coauthor Index
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last updated on 2024-12-05 20:47 CET by the dblp team
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