Habib Khan
Orcid: 0000-0002-4828-5768
According to our database1,
Habib Khan
authored at least 15 papers
between 2017 and 2024.
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Bibliography
2024
Expert Syst. Appl., March, 2024
Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset.
Image Vis. Comput., 2024
Attention enhanced machine instinctive vision with human-inspired saliency detection.
Image Vis. Comput., 2024
Self-adaptive and content-based scheduling for reducing idle listening and overhearing in securing quantum IoT sensors.
Internet Things, 2024
Comput. Sci. Rev., 2024
Comput. Hum. Behav., 2024
Optimizing Mobile Robot Localization: Drones-Enhanced Sensor Fusion with Innovative Wireless Communication.
Proceedings of the IEEE INFOCOM 2024, 2024
2023
Proceedings of the Image Processing: Algorithms and Systems XXI, 2023
2022
Virtual Real. Intell. Hardw., 2022
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets.
IEEE J. Biomed. Health Informatics, 2022
2017
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
CoRR, 2017
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017