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2020 – today
- 2024
[j10]Se-On Kim, Yoon-Chul Kim
:
An Improved Path-Finding Method for the Tracking of Centerlines of Tortuous Internal Carotid Arteries in MR Angiography. J. Imaging 10(3): 58 (2024)- 2023
- [j9]Yoon-Chul Kim, Min Woo Kim:
Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice images. BMC Medical Imaging 23(1): 113 (2023) - 2021
- [j8]Yoon-Chul Kim, Khu Rai Kim, Hyelee Lee, Yeon Hyeon Choe:
Fast calculation software for modified Look-Locker inversion recovery (MOLLI) T1 mapping. BMC Medical Imaging 21(1): 26 (2021) - 2020
- [j7]Yoon-Chul Kim, Khu Rai Kim, Yeon Hyeon Choe:
Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network. Comput. Methods Programs Biomed. 185: 105150 (2020)
2010 – 2019
- 2019
- [j6]Yoon-Chul Kim, Khu Rai Kim, Kwanghee Choi, Minwoo Kim, Younjoon Chung, Yeon Hyeon Choe:
EVCMR: A tool for the quantitative evaluation and visualization of cardiac MRI data. Comput. Biol. Medicine 111 (2019) - [c7]Yoon-Chul Kim, Ji-Eun Lee, Inwu Yu, In-Young Baek, Han-Gil Jeong, Beom-Joon Kim, Joon-Kyung Seong, Jong-Won Chung, Oh Young Bang, Woo-Keun Seo:
Evaluation of U-net segmentation models for infarct volume measurement in acute ischemic stroke: comparison with fixed ADC threshold-based methods. Medical Imaging: Computer-Aided Diagnosis 2019: 109502D - 2017
- [j5]Yoon-Chul Kim, Younjoon Chung, Yeon Hyeon Choe:
Automatic localization of anatomical landmarks in cardiac MR perfusion using random forests. Biomed. Signal Process. Control. 38: 370-378 (2017) - [c6]Tanner Sorensen, Zisis Iason Skordilis, Asterios Toutios, Yoon-Chul Kim, Yinghua Zhu, Jangwon Kim, Adam C. Lammert, Vikram Ramanarayanan, Louis Goldstein, Dani Byrd, Krishna S. Nayak, Shrikanth S. Narayanan:
Database of Volumetric and Real-Time Vocal Tract MRI for Speech Science. INTERSPEECH 2017: 645-649 - 2016
- [j4]Yoon-Chul Kim, Sung Mok Kim, Yeon Hyeon Choe:
Robust semi-automated quantification of cardiac MR perfusion using level set: Application to hypertrophic cardiomyopathy patient data. Comput. Biol. Medicine 71: 162-173 (2016) - [j3]Ahsan Javed, Yoon-Chul Kim, Michael C. K. Khoo, Sally L. Davidson Ward, Krishna S. Nayak:
Dynamic 3-D MR Visualization and Detection of Upper Airway Obstruction During Sleep Using Region-Growing Segmentation. IEEE Trans. Biomed. Eng. 63(2): 431-437 (2016) - [c5]Sajan Goud Lingala, Asterios Toutios, Johannes Töger, Yongwan Lim, Yinghua Zhu, Yoon-Chul Kim, Colin Vaz, Shrikanth S. Narayanan, Krishna S. Nayak:
State-of-the-Art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function. INTERSPEECH 2016: 475-479 - 2013
- [j2]Yinghua Zhu, Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, Krishna S. Nayak:
Dynamic 3-D Visualization of Vocal Tract Shaping During Speech. IEEE Trans. Medical Imaging 32(5): 838-848 (2013) - 2011
- [c4]Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, Krishna S. Nayak:
Visualization of Vocal Tract Shape Using Interleaved Real-Time MRI of Multiple Scan Planes. INTERSPEECH 2011: 269-272 - 2010
- [c3]Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. Nayak:
Improved real-time MRI of oral-velar coordination using a golden-ratio spiral view order. INTERSPEECH 2010: 1580-1583
2000 – 2009
- 2009
- [c2]Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. Nayak:
Accelerated 3D MRI of vocal tract shaping using compressed sensing and parallel imaging. ICASSP 2009: 389-392 - [c1]Joseph Tepperman, Erik Bresch, Yoon-Chul Kim, Sungbok Lee, Louis Goldstein, Shrikanth S. Narayanan:
An articulatory analysis of phonological transfer using real-time MRI. INTERSPEECH 2009: 700-703 - 2008
- [j1]Erik Bresch, Yoon-Chul Kim, Krishna S. Nayak, Dani Byrd, Shrikanth Narayanan:
Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging [Exploratory DSP]. IEEE Signal Process. Mag. 25(3): 123-132 (2008)
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