Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR)

Author:

Ahmed Abdul Haseeb1ORCID,Zou Qing1ORCID,Nagpal Prashant2ORCID,Jacob Mathews1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA

2. Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA

Funder

NIH

MRI instrument

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Reference40 articles.

1. SS -VAE: Learning basic visual concepts with a constrained variational framework;higgins;Proc ICLR,2016

2. Understanding disentangling in SS -VAE;burgess;arXiv 1804 03599,2018

3. Compartmentalized low‐rank recovery for high‐resolution lipid unsuppressed MRSI

4. A subspace approach to high-resolution spectroscopic imaging

5. Accelerated whole‐brain multi‐parameter mapping using blind compressed sensing

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