Selected Publications
Seriramulu, V. P., Suppiah, S., Lee, H. H., Jang, J. H., Omar, N. F., Mohan, S. N., ... & Ahmad, U., 1 Jan 2024, In: The Medical Journal of Malaysia, 79(1), 102-110.
Jung, Y. H., Kim, H., Seo, S., Lee, D., Lee, J. Y., Moon, J. Y., Cheon, G. J., Choi, S. H. & Kang, D. H., 31 Mar 2023, In: Medicine (United States). 102, 13, p. E33305
Decreased in vivo glutamate/GABA ratio correlates with the social behavior deficit in a mouse model of autism spectrum disorder
Park, G., Jeon, S. J., Ko, I. O., Park, J. H., Lee, K. C., Kim, M. S., Shin, C. Y., Kim, H. & Lee, Y. S., Dec 2022, In: Molecular brain. 15, 1, 19.
Synthetic MRI: Technologies and Applications in Neuroradiology
Ji, S., Yang, D., Lee, J., Choi, S. H., Kim, H. & Kang, K. M., Apr 2022, In: Journal of Magnetic Resonance Imaging. 55, 4, p. 1013-1025 13 p.
Abnormal neurometabolites in fibromyalgia patients: Magnetic resonance spectroscopy study
Jung, Y. H., Kim, H., Lee, D., Lee, J. Y., Lee, W. J., Moon, J. Y., Choi, S. H. & Kang, D. H., 2021, In: Molecular Pain. 17
Dysfunctional energy metabolisms in fibromyalgia compared with healthy subjects
Jung, Y. H., Kim, H., Lee, D., Lee, J. Y., Moon, J. Y., Choi, S. H. & Kang, D. H., 2021, In: Molecular Pain. 17
Prediction of brain age from routine T2-weighted spin-echo brain magnetic resonance images with a deep convolutional neural network
Hwang, I., Yeon, E. K., Lee, J. Y., Yoo, R. E., Kang, K. M., Yun, T. J., Choi, S. H., Sohn, C. H., Kim, H. & Kim, J. H., Sep 2021, In: Neurobiology of Aging. 105, p. 78-85 8 p.
**Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain
Jang, J., Lee, H. H., Park, J. A. & Kim, H., Apr 2021, In: Journal of Magnetic Resonance. 325, 106936.
**Deep learning-based target metabolite isolation and big data-driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain
Lee, H. H. & Kim, H., 1 Oct 2020, In: Magnetic Resonance in Medicine. 84, 4, p. 1689-1706 18 p.
Core technology**
Jung, Y. H., Kim, H., Seo, S., Lee, D., Lee, J. Y., Moon, J. Y., Cheon, G. J., Choi, S. H. & Kang, D. H., 31 Mar 2023, In: Medicine (United States). 102, 13, p. E33305
Decreased in vivo glutamate/GABA ratio correlates with the social behavior deficit in a mouse model of autism spectrum disorder
Park, G., Jeon, S. J., Ko, I. O., Park, J. H., Lee, K. C., Kim, M. S., Shin, C. Y., Kim, H. & Lee, Y. S., Dec 2022, In: Molecular brain. 15, 1, 19.
Synthetic MRI: Technologies and Applications in Neuroradiology
Ji, S., Yang, D., Lee, J., Choi, S. H., Kim, H. & Kang, K. M., Apr 2022, In: Journal of Magnetic Resonance Imaging. 55, 4, p. 1013-1025 13 p.
Abnormal neurometabolites in fibromyalgia patients: Magnetic resonance spectroscopy study
Jung, Y. H., Kim, H., Lee, D., Lee, J. Y., Lee, W. J., Moon, J. Y., Choi, S. H. & Kang, D. H., 2021, In: Molecular Pain. 17
Dysfunctional energy metabolisms in fibromyalgia compared with healthy subjects
Jung, Y. H., Kim, H., Lee, D., Lee, J. Y., Moon, J. Y., Choi, S. H. & Kang, D. H., 2021, In: Molecular Pain. 17
Prediction of brain age from routine T2-weighted spin-echo brain magnetic resonance images with a deep convolutional neural network
Hwang, I., Yeon, E. K., Lee, J. Y., Yoo, R. E., Kang, K. M., Yun, T. J., Choi, S. H., Sohn, C. H., Kim, H. & Kim, J. H., Sep 2021, In: Neurobiology of Aging. 105, p. 78-85 8 p.
**Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain
Jang, J., Lee, H. H., Park, J. A. & Kim, H., Apr 2021, In: Journal of Magnetic Resonance. 325, 106936.
**Deep learning-based target metabolite isolation and big data-driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain
Lee, H. H. & Kim, H., 1 Oct 2020, In: Magnetic Resonance in Medicine. 84, 4, p. 1689-1706 18 p.
Disruption of Homeostasis Based on the Right and Left Hemisphere in Patients with Complex Regional Pain Syndrome
Jung, Y. H., Kim, H., Lee, D., Lee, J. Y., Lee, W. J., Moon, J. Y., Kim, Y. C., Choi, S. H. & Kang, D. H., 1 Feb 2020, In: NeuroImmunoModulation. 26, 6, p. 276-284 9 p.
**Reconstruction of spectra from truncated free induction decays by deep learning in proton magnetic resonance spectroscopy
Lee, H., Lee, H. H. & Kim, H., 1 Aug 2020, In: Magnetic Resonance in Medicine. 84, 2, p. 559-568 10 p.
**Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain
Lee, H. H. & Kim, H., Jul 2019, In: Magnetic Resonance in Medicine. 82, 1, p. 33-48 16 p.
Neurometabolite changes in patients with complex regional pain syndrome using magnetic resonance spectroscopy: A pilot study
Jung, Y. H., Kim, H., Jeon, S. Y., Kwon, J. M., Kim, Y. C., Lee, W. J., Lee, D., Lee, J. Y., Moon, J. Y. & Kang, D. H., 16 Jan 2019, In: NeuroReport. 30, 2, p. 108-112 5 p.
Aberrant interactions of peripheral measures and neurometabolites with lipids in complex regional pain syndrome using magnetic resonance spectroscopy: A pilot study
Jung, Y. H., Kim, H., Jeon, S. Y., Kwon, J. M., Lee, D., Choi, S. H. & Kang, D. H., 1 Jan 2018, In: Molecular Pain. 14
**Noninvasive Identification of IDH-mutational Status from 1H-MRS Spectra by Deep Learning
Lee, H. H. & Kim, H., 1 Oct 2020, In: ISMRM 2018 Abstract
Neurometabolic profiles of the substantia nigra and striatum of MPTP-intoxicated common marmosets: An in vivo proton MRS study at 9.4 T
Heo, H., Ahn, J. B., Lee, H. H., Kwon, E., Yun, J. W., Kim, H. & Kang, B. C., 1 Feb 2017, In: NMR in Biomedicine. 30, 2, e3686.
New botanical drug, HL tablet, reduces hepatic fat as measured by magnetic resonance spectroscopy in patients with nonalcoholic fatty liver disease: A placebo-controlled, randomized, phase II trial
Jeong, J. Y., Sohn, J. H., Baek, Y. H., Cho, Y. K., Kim, Y. & Kim, H., 28 Aug 2017, In: World Journal of Gastroenterology. 23, 32, p. 5977-5985 9 p.
Parameterization of spectral baseline directly from short echo time full spectra in 1H-MRS
Lee, H. H. & Kim, H., Sep 2017, In: Magnetic Resonance in Medicine. 78, 3, p. 836-847 12 p.
Choi, J. & Kim, H., 1 Dec 2016, In: Journal of Magnetic Resonance. 273, p. 47-55 9 p.
Kim, H., Kim, S., Lee, H. H. & Heo, H., 1 Sep 2016, In: Korean Journal of Radiology. 17, 5, p. 620-632 13 p.
Heo, H., Kim, S., Lee, H. H., Cho, H. R., Xu, W. J., Lee, H., Park, C. K., Park, S., Choi, S. H. & Kim, H., 1 Jan 2016, In: PLoS ONE. 11, 1, e0147794.
Assessment of diffusion tensor MR imaging (DTI) in liver fibrosis with minimal confounding effect of hepatic steatosis
Lee, Y. & Kim, H., 1 Apr 2015, In: Magnetic Resonance in Medicine. 73, 4, p. 1602-1608 7 p.
High resolution in vivo 31P-MRS of the liver: Potential advantages in the assessment of non-alcoholic fatty liver disease
Jeon, M. J., Lee, Y., Ahn, S., Lee, C., Kim, O. H., Oh, B. C., Yu, U. & Kim, H., 1 Jan 2015, In: Acta Radiologica. 56, 9, p. 1051-1060 10 p.
Blood oxygen level-dependent MRI for evaluation of early response of liver tumors to chemoembolization: An animal study
Choi, J. W., Kim, H., Kim, H. C., Lee, Y., Kwon, J., Yoo, R. E., Cho, H. R., Choi, S. H. & Chung, J. W., May 2013, In: Anticancer Research. 33, 5, p. 1887-1892 6 p.
In vivo 1H-MRS hepatic lipid profiling in nonalcoholic fatty liver disease: An animal study at 9.4 T
Lee, Y., Jee, H. J., Noh, H., Kang, G. H., Park, J., Cho, J., Cho, J. H., Ahn, S., Lee, C., Kim, O. H., Oh, B. C. & Kim, H., Sep 2013, In: Magnetic Resonance in Medicine. 70, 3, p. 620-629 10 p.
In vivo magnetic resonance imaging of transgenic mice expressing human ferritin
Kim, H. S., Joo, H. J., Woo, J. S., Choi, Y. S., Choi, S. H., Kim, H. & Moon, W. K., Feb 2013, In: Molecular Imaging and Biology. 15, 1, p. 48-57 10 p.
Enhancement of spectral editing efficacy of multiple quantum filters in in vivo proton magnetic resonance spectroscopy
Kim, H., Thompson, R. B. & Allen, P. S., Oct 2012, In: Journal of Magnetic Resonance. 223, p. 90-97 8 p.
Imaging and quantification of metastatic melanoma cells in lymph nodes with a ferritin MR reporter in living mice
Choi, S. H., Cho, H. R., Kim, H. S., Kim, Y. H., Kang, K. W., Kim, H. & Moon, W. K., May 2012, In: NMR in Biomedicine. 25, 5, p. 737-745 9 p.
MTR and In-vivo1H-MRS studies on mouse brain with parkinson's disease
Yoon, M. H., Kim, H. J., Chung, J. Y., Doo, A. R., Park, H. J., Kim, S. N. & Choe, B. Y., 2012, In: Journal of the Korean Physical Society. 61, 11, p. 1852-1859 8 p.
Comparative MR study of hepatic fat quantification using single-voxel proton spectroscopy, two-point Dixon and three-point IDEALt illustrated with animal models using MRUI and LCModel
Kim, H., Taksali, S. E., Dufour, S., Befroy, D., Goodman, T. R., Petersen, K. F., Shulman, G. I., Caprio, S. & Constable, R. T., Mar 2008, In: Magnetic Resonance in Medicine. 59, 3, p. 521-527 7 p.
Induced hepatic fibrosis in rats: Hepatic steatosis, macromolecule content, perfusion parameters, and their correlations - Preliminary mr imaging in rats
Kim, H., Booth, C. J., Pinus, A. B., Chen, P., Lee, A., Qiu, M., Whitlock, M., Murphy, P. S. & Constable, R. T., Jun 2008, In: Radiology. 247, 3, p. 696-705 10 p.
On the application of chemical shift-based multipoint water-fat separation methods in balanced SSFP imaging
Kim, H., Pinus, A. B., Wang, J., Murphy, P. S. & Constable, R. T., Aug 2007, In: Magnetic Resonance in Medicine. 58, 2, p. 413-418 6 p.
A review of the possible relevance of inositol and the phosphatidylinositol second messenger system (PI-cycle) to psychiatric disorders - Focus on magnetic resonance spectroscopy (MRS) studies
Kim, H., McGrath, B. M. & Silverstone, P. H., Jul 2005, In: Human Psychopharmacology. 20, 5, p. 309-326 18 p.
Bipolar disorder and myo-inositol: A review of the magnetic resonance spectroscopy findings
Silverstone, P. H., McGrath, B. M. & Kim, H., Feb 2005, In: Bipolar Disorders. 7, 1, p. 1-10 10 p.
Variability of metabolite yield using STEAM or PRESS sequences in vivo at 3.0 T, illustrated with myo-inositol
Kim, H., Thompson, R. B., Hanstock, C. C. & Allen, P. S., Apr 2005, In: Magnetic Resonance in Medicine. 53, 4, p. 760-769 10 p.
Strategy for the Spectral Filtering of Myo-Inositol and Other Strongly Coupled Spins
Kim, H., Wild, J. M. & Allen, P. S., Feb 2004, In: Magnetic Resonance in Medicine. 51, 2, p. 263-272 10 p.