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Ko, Jingyu
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1

Convolutional neural network-based reconstruction for accel..:

Jung, Woojin ; Kim, Eu Hyun ; Ko, Jingyu..
The British Journal of Radiology.  95 (2022)  1133 - p. , 2022
Link: https://doi.org/10.1259/..
 
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2

Highly accelerated 3D MPRAGE using deep neural network–base..:

Jung, Woojin ; Kim, JeeYoung ; Ko, Jingyu..
European Radiology.  32 (2022)  8 - p. 5468-5479 , 2022
Link: https://doi.org/10.1007/..
 
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3

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew J. ; Riemenschneider, Bruno ; Radmanesh, Alireza...
IEEE Transactions on Medical Imaging.  40 (2021)  9 - p. 2306-2317 , 2021
Link: https://doi.org/10.1109/..
 
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4

Deep Learning in MR Image Processing:

Lee, Doohee ; Lee, Jingu ; Ko, Jingyu...
Investigative Magnetic Resonance Imaging.  23 (2019)  2 - p. 81 , 2019
Link: https://doi.org/10.13104..
 
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5

Quantitative susceptibility mapping using deep neural netwo..:

Yoon, Jaeyeon ; Gong, Enhao ; Chatnuntawech, Itthi...
NeuroImage.  179 (2018)  - p. 199-206 , 2018
Link: https://doi.org/10.1016/..
 
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6

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew J ; Riemenschneider, Bruno ; Radmanesh, Alireza...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428775/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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7

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew, J ; Riemenschneider, Bruno ; Radmanesh, Alireza...
info:eu-repo/semantics/altIdentifier/arxiv/2012.06318.  , 2021
Link: https://hal.science/hal-..
 
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8

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew ; Riemenschneider, Bruno ; Radmanesh, Alireza...
info:eu-repo/semantics/altIdentifier/arxiv/2012.06318.  , 2021
Link: https://hal.science/hal-..
 
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9

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew ; Riemenschneider, Bruno ; Radmanesh, Alireza...
info:eu-repo/semantics/altIdentifier/arxiv/2012.06318.  , 2021
Link: https://hal.archives-ouv..
 
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10

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew, J ; Riemenschneider, Bruno ; Radmanesh, Alireza...
info:eu-repo/semantics/altIdentifier/arxiv/2012.06318.  , 2021
Link: https://hal.science/hal-..
 
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11

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew, J ; Riemenschneider, Bruno ; Radmanesh, Alireza...
info:eu-repo/semantics/altIdentifier/arxiv/2012.06318.  , 2021
Link: https://hal.science/hal-..
 
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12

State-of-the-art Machine Learning MRI Reconstruction in 202..:

Muckley, Matthew ; Riemenschneider, Bruno ; Radmanesh, Alireza...
info:eu-repo/semantics/altIdentifier/arxiv/2012.06318.  , 2020
Link: https://hal.archives-ouv..
 
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13

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew J ; Riemenschneider, Bruno ; Radmanesh, Alireza...
http://arxiv.org/abs/2012.06318.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

Quantitative Susceptibility Mapping using Deep Neural Netwo..:

Yoon, Jaeyeon ; Gong, Enhao ; Chatnuntawech, Itthi...
http://arxiv.org/abs/1803.05627.  , 2018
Link: http://arxiv.org/abs/180..
 
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15

Buffer Layer Engineering of Indium Oxide Based Trench TFT f..:

Im, Youngjun ; Cho, Seong-In ; Kim, Jingyu...
IEEE Electron Device Letters.  44 (2023)  11 - p. 1849-1852 , 2023
Link: https://doi.org/10.1109/..
 
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