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Shujaat Khan
About Me
Funded Projects
Academic Services
Talks
Publications
SlideShare
Work Experience
Shujaat Khan
About Me
Funded Projects
Academic Services
Talks
Publications
SlideShare
Work Experience
More
About Me
Funded Projects
Academic Services
Talks
Publications
SlideShare
Work Experience
Presentation Slides
Physics informed deep learning for efficient b-mode ultrasound imaging
A webinar on "Physics-Informed Deep Learning for Efficient B-Mode Ultrasound Imaging" organized by Center for Professional Training (C.P.T.) National Universit…
Switchable and tunable deep beamformer using adaptive instance normal…
Recent proposals of deep learning-based beamformers for ultrasound imaging (US) have attracted significant attention as computational efficient alternatives to…
Variational formulation of unsupervised deep learning for ultrasound …
Recently, deep learning approaches have been successfully used for ultrasound (US) image artifact removal. However, paired high-quality images for supervised t…
Adaptive and compressive beamforming using deep learning for medical …
In ultrasound (US) imaging, various types of adaptive beamforming techniques have been investigated to improve the resolution and the contrast-to-noise ratio o…
Contrast and resolution improvement of pocus using self consistent cy…
Point-of-Care Ultrasound (POCUS) imaging can help efficient resource utilization by reducing the secondary care referrals, and work as an extension in physical…
Switchable Deep Beamformer for Ultrasound Imaging Using ADAIN
In ultrasound (US) imaging, various adaptive beamforming methods have been proposed to improve the resolution and contrast-to-noise ratio of the delay and sum …
Universal plane wave compounding for high quality us imaging using de…
Plane-wave compounding is to sum up several successive plane waves incident at different angles to form an image. By applying time-reversal of the received sig…
Deep Learning-Based Universal Beamformer for Ultrasound Imaging
In ultrasound (US) imaging, individual channel RF measurements are back-propagated and accumulated to form an image after applying specific delays. While this …
Clutter suppressed deep beamformer for echocardiography using deep le…
Background, Motivation and Objective: Due to non-invasive, radiation-free, and real-time imaging features, echocardiography (ECHO) is considered an excellent t…
Unsupervised Deconvolution Neural Network for High Quality Ultrasound…
High quality US imaging demand large number of measurements that can increase the cost, size and power requirements. Therefore, low-powered, portable and 3D ul…
Unsupervised Deep Learning for Accelerated High Quality Echocardiogra…
Echocardiography is a pivotal imaging tool for emergency medicine. Unfortunately, it suffers from poor image quality due to the intrinsic limitations of sonogr…
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