A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Xujiong Ye; Gregory G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (ISBI, 2017)

Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li 020; Xujiong Ye; Gregory G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (Computer-Aided Diagnosis, 2017)

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li 020; Xujiong Ye; Greg G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (Image Processing, 2017)

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Xujiong Ye; Gregory G. Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David N. Firmin (MIUA, 2017)

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. - Guang Yang 006; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li 020; Rick Wage; Xujiong Ye; Greg G. Slabaugh; Raad Mohiaddin; Tom Wong; Jennifer Keegan; et al. (CoRR, 2017)

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets. - Jun Chen; Guang Yang 006; Habib Khan; Heye Zhang; Yanping Zhang 001; Shu Zhao; Raad Mohiaddin; Tom Wong; David N. Firmin; Jennifer Keegan (IEEE J. Biomed. Health Informatics, 2022)

Serious Games in Science Education. A Systematic Literature Review. - Mohib Ullah; Sareer Ul Amin; Muhammad Munsif; Utkurbek Safaev; Habib Khan; Salman Khan; Habib Ullah (Virtual Real. Intell. Hardw., 2022)

Deep learning based speech emotion recognition for Parkinson patient. - Habib Khan; Mohib Ullah; Fadi Al Machot; Faouzi Alaya Cheikh; Muhammad Sajjad (Image Processing: Algorithms and Systems, 2023)

Optimizing Mobile Robot Localization: Drones-Enhanced Sensor Fusion with Innovative Wireless Communication. - Inam Ullah 001; Deepak Adhikari; Habib Khan; Shabir Ahmad; Christian Esposito 001; Chang Choi (INFOCOM (Workshops), 2024)

Ubiquitous computation in internet of vehicles for human-centric transport systems. - Inam Ullah 001; Farhad Ali; Habib Khan; Faheem Khan; Xiaoshan Bai (Comput. Hum. Behav., 2024)

Mobile robot localization: Current challenges and future prospective. - Inam Ullah 001; Deepak Adhikari; Habib Khan; Muhammad Shahid Anwar; Shabir Ahmad; Xiaoshan Bai (Comput. Sci. Rev., 2024)

Self-adaptive and content-based scheduling for reducing idle listening and overhearing in securing quantum IoT sensors. - Muhammad Nawaz Khan; Irshad Khalil; Inam Ullah 001; Sushil Kumar Singh 004; Sami Dhahbi; Habib Khan; Abdullah Alwabli; Mahmoud Ahmad Al-Khasawneh (Internet Things, 2024)

Attention enhanced machine instinctive vision with human-inspired saliency detection. - Habib Khan; Muhammad Talha Usman; Imad Rida; Jakeoung Koo (Image Vis. Comput., 2024)

Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset. - Habib Khan; Inam Ullah 001; Mohammad Shabaz; Muhammad Faizan Omer; Muhammad Talha Usman; Mohammed Seghir Guellil; Jakeoung Koo (Image Vis. Comput., 2024)

Deep multi-scale pyramidal features network for supervised video summarization. - Habib Khan; Tanveer Hussain; Samee Ullah Khan; Zulfiqar Ahmad Khan; Sung Wook Baik (Expert Syst. Appl., 2024)

Revolutionizing E-Commerce With Consumer-Driven Energy-Efficient WSNs: A Multi-Characteristics Approach. - Inam Ullah 001; Deepak Adhikari; Farhad Ali; Ahmad Ali; Habib Khan; Amin Sharafian; Suresh Manic Kesavan; Xiaoshan Bai (IEEE Trans. Consumer Electron., 2024)

Lightweight transformer-driven multi-scale trapezoidal attention network for saliency detection. - Muhammad Talha Usman; Habib Khan; Imad Rida; Jakeoung Koo (Eng. Appl. Artif. Intell., 2025)

Bilateral Feature Fusion with hexagonal attention for robust saliency detection under uncertain environments. - Habib Khan; Muhammad Talha Usman; Jakeoung Koo (Inf. Fusion, 2025)

Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future. - Inam Ullah 001; Sushil Kumar Singh 004; Deepak Adhikari; Habib Khan; Weiwei Jiang 003; Xiaoshan Bai (Swarm Evol. Comput., 2025)

Efficient Deepfake Detection via Layer-Frozen Assisted Dual Attention Network for Consumer Imaging Devices. - Muhammad Talha Usman; Habib Khan; Sushil Kumar Singh 004; Mi Young Lee; JaKeoung Koo (IEEE Trans. Consumer Electron., 2025)