Jiaming Liu

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20212026

most citedDOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

7 citations · 23 across the 19 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

eess.IV2021★ 1 cited

Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_{2}^{*}$ Mapping

Xiaojian Xu, Satya V. V. N. Kothapalli, Jiaming Liu +4

Purpose: To introduce two novel learning-based motion artifact removal networks (LEARN) for the estimation of quantitative motion- and $B 0$ -inhomogeneity-corrected $R_{2}^{*}$ maps…

eess.IV2021

Deformation-Compensated Learning for Image Reconstruction without Ground Truth

Weijie Gan, Yu Sun, Cihat Eldeniz +3

Deep neural networks for medical image reconstruction are traditionally trained using high-quality ground-truth images as training targets. Recent work on Noise2Noise (N2N) has sho…

Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative R2∗​ Mapping

Deformation-Compensated Learning for Image Reconstruction without Ground Truth

Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_{2}^{*}$ Mapping