Iterative training of robust k‐space interpolation networks for improved image reconstruction with limited scan specific training samples
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29482
Abstract: To evaluate an iterative learning approach for enhanced performance of robust artificial‐neural‐networks for k‐space interpolation (RAKI), when only a limited amount of training data (auto‐calibration signals [ACS]) are available for accelerated standard 2D imaging. read more here.
Keywords: training; space interpolation; iterative training; training robust ... See more keywords
Blind Image Quality Assessment for Authentic Distortions by Intermediary Enhancement and Iterative Training
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3179744
Abstract: With the boom of deep neural networks, blind image quality assessment (BIQA) has achieved great processes. However, the current BIQA metrics are limited when evaluating low-quality images as compared to medium-quality and high-quality images, which… read more here.
Keywords: image quality; quality; low quality; quality images ... See more keywords
Iterative Training of Neural Networks for Intra Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3038348
Abstract: This paper presents an iterative training of neural networks for intra prediction in a block-based image and video codec. First, the neural networks are trained on blocks arising from the codec partitioning of images, each… read more here.
Keywords: iterative training; networks intra; neural networks; intra prediction ... See more keywords