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ORCIDZahid Ullah
- > Home > Persons > Zahid Ullah
Publications
- 2026
[i11]Zahid Ullah, Muhammad Hilal, Eunsoo Lee, Dragan Pamucar, Jihie Kim:
Unified Review and Benchmark of Deep Segmentation Architectures for Cardiac Ultrasound on CAMUS. CoRR abs/2601.00839 (2026)- [i10]Zahid Ullah, Jihie Kim:
VL-OrdinalFormer: Vision Language Guided Ordinal Transformers for Interpretable Knee Osteoarthritis Grading. CoRR abs/2601.00879 (2026) - [i9]Zahid Ullah, Sieun Choi, Jihie Kim:
Contour-Guided Query-Based Feature Fusion for Boundary-Aware and Generalizable Cardiac Ultrasound Segmentation. CoRR abs/2603.28110 (2026) - 2025
- [j12]Zahid Ullah
, Jihie Kim:
Anatomically accurate cardiac segmentation using Dense Associative Networks. Eng. Appl. Artif. Intell. 162: 112742 (2025) - [i8]Zahid Ullah, Jihie Kim:
DAM-Seg: Anatomically accurate cardiac segmentation using Dense Associative Networks. CoRR abs/2502.15128 (2025) - [i7]Zahid Ullah, Jihie Kim:
Hierarchical Deep Feature Fusion and Ensemble Learning for Enhanced Brain Tumor MRI Classification. CoRR abs/2506.12363 (2025) - [i6]Zahid Ullah, Jihie Kim:
Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning. CoRR abs/2507.04020 (2025) - [i5]Zahid Ullah, Dragan Pamucar, Jihie Kim:
Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification. CoRR abs/2507.12177 (2025) - [i4]Zahid Ullah, Minki Hong, Tahir Mahmood, Jihie Kim:
Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis. CoRR abs/2509.05343 (2025) - 2024
- [j10]Saeed Ahmad, Zahid Ullah, Jeonghwan Gwak:
Multi-teacher cross-modal distillation with cooperative deep supervision fusion learning for unimodal segmentation. Knowl. Based Syst. 297: 111854 (2024) - 2023
- [j9]Muhammad Umar Farooq, Zahid Ullah, Asifullah Khan, Jeonghwan Gwak:
DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs. Comput. Biol. Medicine 167: 107570 (2023) - [j8]Muhammad Umar Farooq, Zahid Ullah, Jeonghwan Gwak:
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography. Comput. Medical Imaging Graph. 104: 102173 (2023) - [j7]Zahid Ullah, Muhammad Usman, Jeonghwan Gwak:
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images. Expert Syst. Appl. 216: 119475 (2023) - [i3]Muhammad Umar Farooq, Zahid Ullah, Jeonghwan Gwak:
Ensemble CNNs for Breast Tumor Classification. CoRR abs/2304.13727 (2023) - 2022
- [j5]Zahid Ullah, Muhammad Usman, Moongu Jeon, Jeonghwan Gwak:
Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation. Inf. Sci. 608: 1541-1556 (2022) - 2021
- [j3]Jaeyong Kang, Zahid Ullah, Jeonghwan Gwak:
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers. Sensors 21(6): 2222 (2021) - 2020
- [j2]Zahid Ullah, Asim Zeb, Insaf Ullah, Khalid Mahmood Awan, Yousaf Saeed, Muhammad Irfan Uddin, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud, Mahdi Zareei:
Certificateless Proxy Reencryption Scheme (CPRES) Based on Hyperelliptic Curve for Access Control in Content-Centric Network (CCN). Mob. Inf. Syst. 2020: 4138516:1-4138516:13 (2020)
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