Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring.

[BibT_eX]

[DOI]

Chang Min Hyun

Tae-Geun Kim

Kyounghun Lee

CoRR, 2023

Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography.

[BibT_eX]

[DOI]

Hyoung Suk Park

Chang Min Hyun

Jin Keun Seo

CoRR, 2023

Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Deep learning-based solvability of underdetermined inverse problems in medical imaging.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Automated ultrasound assessment of amniotic fluid index using deep learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Automated 3D cephalometric landmark identification using computerized tomography.

[BibT_eX]

[DOI]

CoRR, 2021

Complementary Network for Accurate Amniotic Fluid Segmentation From Ultrasound Images.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Framelet pooling aided deep learning network: the method to process high dimensional medical data.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2020

A Two-Stage Approach for Beam Hardening Artifact Reduction in Low-Dose Dental CBCT.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

A Direct Sinogram Correction Method to Reduce Metal-Related Beam-Hardening in Computed Tomography.

[BibT_eX]

[DOI]

IEEE Access, 2019

2017

Deep learning for undersampled MRI reconstruction.

[BibT_eX]

[DOI]

CoRR, 2017

Chang Min Hyun

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