Shujaat Khan

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I have over 5 years of experience in machine learning and medical imaging. I have worked on a number of projects related to medical image reconstruction, denoising, and super-resolution. I had a pleasure of working with highly talented people, and I managed to publish multiple national and international patents, and number of good papers in reputable conference/journals including MICCAI, ISBI, IEEE-TMI, IEEE-TUFFC, IEEE/ACM-TCBB and IEEE-TNNLS, etc. I am an active participant of MICCAI, IUS, ISBI and SPIE conferences and have presented number of oral presentations and poster papers.

ultrasound medical imaging deep learning beamforming unsupervised deep learning ultrasound imaging physics informed deep learning image enhancement style transfer adaptive instance normalizartion medical imaging optimal transport variational cycle gan universal beamformer coherent planewave compounding ultrafast ultrasound planewave ultrasound self-consistent cycle gan sparse and low-rank decomposition robust pca clutter suppression deconvolution unsupervised learning beamformer

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Shujaat Khan

Presentations

Switchable Deep Beamformer for Ultrasound Imaging Using ADAIN

Unsupervised Deep Learning for Accelerated High Quality Echocardiography

Unsupervised Deconvolution Neural Network for High Quality Ultrasound Imaging

Deep Learning-Based Universal Beamformer for Ultrasound Imaging

Adaptive and compressive beamforming using deep learning for medical ultrasound

Clutter suppressed deep beamformer for echocardiography using deep learning

Contrast and resolution improvement of pocus using self consistent cycle gan

Switchable and tunable deep beamformer using adaptive instance normalization for medical ultrasound

Universal plane wave compounding for high quality us imaging using deep learning

Variational formulation of unsupervised deep learning for ultrasound image artifact removal

Physics informed deep learning for efficient b-mode ultrasound imaging