Sheheryar Khan - Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong

基本信息

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职业迁徙

个人简介

Sheheryar Khan received the Ph.D. degree in electrical engineering from the City University of Hong Kong in 2018, and the M.Sc. degree (Hons.) in signal processing from Lancaster University, U.K., in 2010. Before joining City University, he has served as a Lecturer with COMSATS University Islamabad, Pakistan. He also served as a Post-Doctoral Fellow at the City University of Hong Kong. His research interests include image processing, computer vision, and pattern recognition.

研究兴趣

论文共 30 篇作者统计合作学者相似作者

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Single Stage Adaptive Multi-Attention Network for Image Restoration

Anas Zafar, Danyal Aftab,Rizwan Qureshi,Xinqi Fan,Pingjun Chen,Jia Wu,Hazrat Ali, Shah Nawaz,Sheheryar Khan,Mubarak Shah

IEEE Transactions on Image Processing（2024）

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Thermal Performance Enhancement of Novel Integrated Vapor Compression and Organic Rankine Cycle for Electricity Production: a Full-Condensing Vs. Desuperheating Approach Comparison in Ultra-Low-grade Waste Heat Recovery

Muhammad Asim,Sheheryar Khan,Abdul Wasy Zia,Farooq Riaz Siddiqui,Michael K.H. Leung

e-Prime, advances in electrical engineering, electronics and energy (2024): 100493-100493

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CartiMorph: a Framework for Automated Knee Articular Cartilage Morphometrics

Yongcheng Yao,Junru Zhong,Liping Zhang,Sheheryar Khan,Weitian Chen

MEDICAL IMAGE ANALYSIS (2024)

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YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of the You Only Look Once Series

Ranjan Sapkota,Rizwan Qureshi,Marco Flores Calero, Chetan Badjugar, Upesh Nepal, Alwin Poulose, Peter Zeno, Uday Bhanu Prakash Vaddevolu,Sheheryar Khan, Maged Shoman,Hong Yan, Manoj Karkee

arxiv（2024）

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Unsupervised Domain Adaptation Via CycleGAN for Knee Joint Segmentation in MR Images

Siyue Li,Sheheryar Khan, Xiaoxi Fan,Shutian ZHAO,Junru Zhong, Dόnal Cahill,James F. Griffith,Weitian Chen

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2023)

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Knee Osteoarthritis: Automatic Grading with Deep Learning