Ms. Hyeonjin Kim Profile

Hyeonjin Kim

at Seoul Women's Univ

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Publications (9)

Proceedings Article | 7 April 2023 Poster + Paper

Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images

Heeyoung Jeong, Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha

Proceedings Volume 12465, 1246530 (2023) https://doi.org/10.1117/12.2654510

KEYWORDS: Image segmentation, Kidney, Magnetic resonance imaging, Education and training, Data modeling, 3D modeling, Signal intensity, Performance modeling, 3D image processing, Data acquisition

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Proceedings Article | 4 April 2022 Presentation + Paper

Deep pancreas segmentation through quantification of pancreatic uncertainty on abdominal CT images

Hyeon Dham Yoon, Hyeonjin Kim, Helen Hong

Proceedings Volume 12033, 120333P (2022) https://doi.org/10.1117/12.2611454

KEYWORDS: Pancreas, Image segmentation, Computed tomography, Surgery, Pancreatic cancer, Network architectures, Convolutional neural networks, Image resolution, Abdomen

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Renal parenchyma segmentation in abdominal MR images based on cascaded deep convolutional neural network with signal intensity correction

Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha

Proceedings Volume 11597, 115972M (2021) https://doi.org/10.1117/12.2582333

KEYWORDS: Image segmentation, Magnetic resonance imaging, Convolutional neural networks, Kidney, Data corrections, Computed tomography, Spleen, Photography, Liver, Image analysis

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Proceedings Article | 15 February 2021 Presentation + Paper

Two-stage meniscus segmentation framework integrating multiclass localization network and adversarial learning-based segmentation network in knee MR images

Uju Jeon, Hyeonjin Kim, Helen Hong, Joon Ho Wang

Proceedings Volume 11597, 1159714 (2021) https://doi.org/10.1117/12.2581385

KEYWORDS: Image segmentation, Magnetic resonance imaging, 3D modeling, Transplantation, Prototyping, Convolutional neural networks

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Proceedings Article | 1 June 2020 Paper

Automatic meniscus segmentation using cascaded deep convolutional neural networks with 2D conditional random fields in knee MR images

Uju Jeon, Hyeonjin Kim, Helen Hong, Joon Ho Wang

Proceedings Volume 11515, 1151528 (2020) https://doi.org/10.1117/12.2566450

KEYWORDS: Image segmentation, Magnetic resonance imaging, Convolutional neural networks, 3D image processing, Network architectures, 3D modeling, Neural networks, 3D printing, Cartilage, Holmium

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Proceedings Article | 16 March 2020 Paper

Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformation

Hyeonjin Kim, Helen Hong, Koon Ho Rha

Proceedings Volume 11314, 113143J (2020) https://doi.org/10.1117/12.2551315

KEYWORDS: Image segmentation, Kidney, Computed tomography, Convolutional neural networks, 3D image processing

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Proceedings Article | 27 March 2019 Paper

Automatic segmentation of meniscus using locally weighted voting based on multi-atlas and edge classification in knee MR images

SoonBeen Kim, Hyeonjin Kim, Helen Hong, Joon Ho Wang

Proceedings Volume 11050, 110500M (2019) https://doi.org/10.1117/12.2523712

KEYWORDS: Image segmentation, Magnetic resonance imaging

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Proceedings Article | 15 March 2019 Paper

Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints

Hyeonjin Kim, Helen Hong, Kidon Chang, Koon Ho Rha

Proceedings Volume 10949, 109493A (2019) https://doi.org/10.1117/12.2512768

KEYWORDS: Image segmentation, Computed tomography, Image registration, Liver, Spleen, Medicine, Kidney, 3D modeling, Holmium, Convolutional neural networks

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Proceedings Article | 24 March 2016 Paper

Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations

Han Sang Lee, Hyeun Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim

Proceedings Volume 9785, 97853H (2016) https://doi.org/10.1117/12.2216630

KEYWORDS: Data communications, Image segmentation, Cartilage, Bone, Image registration, Magnetic resonance imaging, Visualization, Tissues, Affine motion model, Visual process modeling

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Showing 5 of 9 publications

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