Search Results - "Jinseong Jang"

KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images by Eo, Taejoon, Jun, Yohan, Kim, Taeseong, Jang, Jinseong, Lee, Ho‐Joon, Hwang, Dosik

“…Purpose To demonstrate accurate MR image reconstruction from undersampled k‐space data using cross‐domain convolutional neural networks (CNNs) Methods…”
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Deep‐learned short tau inversion recovery imaging using multi‐contrast MR images by Kim, Sewon, Jang, Hanbyol, Jang, Jinseong, Lee, Young Han, Hwang, Dosik

“…Purpose To generate short tau, or short inversion time (TI), inversion recovery (STIR) images from three multi‐contrast MR images, without additional scanning,…”
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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation by Jang, Hanbyol, Bang, Kihun, Jang, Jinseong, Hwang, Dosik

“…In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the…”
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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography by Kwon, TaeWoo, Lee, Sang Pyo, Kim, Dongmin, Jang, Jinseong, Lee, Myungjae, Kang, Shin Uk, Kim, Heejin, Oh, Keunyoung, On, Jinhee, Kim, Young Jae, Yun, So Jeong, Jin, Kwang Nam, Kim, Eun Young, Kim, Kwang Gi

“…The chest X-ray (CXR) is the most readily available and common imaging modality for the assessment of pneumonia. However, detecting pneumonia from chest…”
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Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System by Jang, Hanbyol, Bang, Kihun, Jang, Jinseong, Hwang, Dosik

“…Conventional digital displays show images with much less dynamic range than that of human visual perception. High-dynamic range (HDR) displays are being…”
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No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features by Jang, Jinseong, Jang, Hanbyol, Eo, Taejoon, Bang, Kihun, Hwang, Dosik

“…Image adjustment methods are one of the most widely used post-processing techniques for enhancing image quality and improving the visual preference of the…”
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Ammonia autothermal reformer with air side-stream distribution for hydrogen production by Jang, Jinseong, Han, Myungwan

“…Recently, there has been growing interest in utilizing ammonia through its decomposition process for on-site hydrogen production, primarily due to technical…”
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Tri-reformer with O2 side-stream distribution for syngas production by Jang, Jinseong, Han, Myungwan

“…Methane tri-reforming combines steam reforming, dry reforming and partial oxidation of methane in a single reactor. The heat generated by the exothermic…”
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M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer by Jang, Jinseong, Hwang, Dosik

“…In this study, we propose a three-dimensional Medical image classifier using Multi-plane and Multi-slice Trans-former (M3T) network to classify Alzheimer's…”
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Fully automatic quantification of transient severe respiratory motion artifact of gadoxetate disodium–enhanced MRI during arterial phase by Jang, Jinseong, Chung, Yong Eun, Kim, Sungwon, Hwang, Dosik

“…Purpose It is important to fully automate the evaluation of gadoxetate disodium–enhanced arterial phase images because the efficient quantification of…”
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Quality evaluation of no‐reference MR images using multidirectional filters and image statistics by Jang, Jinseong, Bang, Kihun, Jang, Hanbyol, Hwang, Dosik

“…Purpose This study aimed to develop a fully automatic, no‐reference image‐quality assessment (IQA) method for MR images. Methods New quality‐aware features…”
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Comparision study of stereoscopy in computed tomography : Projection versus MIP by Younguk Kim, Jinseong Jang, Taejoon Eo, Dosik Hwang

“…This paper introduces a stereoscopy in Computed Tomography (CT), and two projection methods to create a stereoscopy. One is summing projection and the other is…”
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Phase mask enhancement for multi-echo MR images using a novel denoising method based on tissue relaxation properties by Taejoon Eo, Younguk Kim, Jinseong Jang, Dosik Hwang

“…Multiple-echo magnetic resonance images are a series of images acquired at different echo times. Especially, phase images of multiple-echo images are often…”
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Evidence-Empowered Transfer Learning for Alzheimer's Disease by Ong, Kai Tzu-Iunn, Kim, Hana, Kim, Minjin, Jang, Jinseong, Sohn, Beomseok, Choi, Yoon Seong, Hwang, Dosik, Hwang, Seong Jae, Yeo, Jinyoung

“…Transfer learning has been widely utilized to mitigate the data scarcity problem in the field of Alzheimer's disease (AD). Conventional transfer learning…”
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Medical image matching using variable randomized undersampling probability pattern in data acquisition by Jinseong Jang, Tae-joon Eo, Minoh Kim, Narae Choi, Dongyup Han, Donghyun Kim, Dosik Hwang

“…This paper proposes a randomized variable probability pattern in under-sampling acquisition for medical image matching which is a method that can perform the…”
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Supratentorial Cerebral Arterial Territories for Computed Tomograms: A Mapping Study in 1160 Large Artery Infarcts by Kim, Dong-Eog, Jang, Jinseong, Schellingerhout, Dawid, Ryu, Wi-Sun, Park, Jong-Ho, Lee, Su-Kyoung, Kim, Dongmin, Bae, Hee-Joon

“…We recently generated a high-resolution supratentorial vascular topographic atlas using diffusion-weighed MRI in a population of large artery infarcts. These…”
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Evidence-empowered Transfer Learning for Alzheimer's Disease by Ong, Kai Tzu-iunn, Kim, Hana, Kim, Minjin, Jang, Jinseong, Sohn, Beomseok, Choi, Yoon Seong, Hwang, Dosik, Hwang, Seong Jae, Yeo, Jinyoung

“…Transfer learning has been widely utilized to mitigate the data scarcity problem in the field of Alzheimer's disease (AD). Conventional transfer learning…”
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