Improved medical image inpainting using automatic multi-task learning driven deep learning approach-Reference-Cited by-同舟云学术

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Improved medical image inpainting using automatic multi-task learning driven deep learning approach

Published:2024-09 Issue: Volume:9 Page:100678
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Rakibe Poonam L,Patil Pramod D

Publisher

Elsevier BV

Reference66 articles.

1. Artifacts in magnetic resonance imaging;Krupa;Pol. J. Radiol.,2015

2. Common computed tomography artifact: source and avoidance;Alzain;Egypt J Radiol Nucl Med,2021

3. Artifacts in body MR imaging: their appearance and how to eliminate them;Stadler;Eur. Radiol.,2007

4. AAPM/RSNA physics tutorial for residents: MR artifacts, safety, and quality control. Radiographics : a review publication of the;Zhuo;Radiological Society of North America, Inc,2006

5. Motion correction using the k-space phase difference of orthogonal acquisitions;Welch;Magn. Reson. Med.,2002

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