Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Kyong Hwan Jin"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Recording neuronal activity using multiple electrodes has been widely used to understand the functional mechanisms of the brain. Increasing the number of electrodes allows us to decode more variety of functionalities. However, handling massi
Externí odkaz:
https://doaj.org/article/e31eff40ea894d7b80c6c19687471af2
Autor:
Seungjoo Shin, Min Woo Kim, Kyong Hwan Jin, Kwang Moo Yi, Yoshiki Kohmura, Tetsuya Ishikawa, Jung Ho Je, Jaesik Park
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Synchrotron X-rays can be used to obtain highly detailed images of parts of the lung. However, micro-motion artifacts induced by such as cardiac motion impede quantitative visualization of the alveoli in the lungs. This paper proposes a meth
Externí odkaz:
https://doaj.org/article/c4ba08d3318e428cb804b9ff880f7926
Publikováno v:
IEEE Transactions on Medical Imaging. 40:3337-3348
We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for the study of moving organs such as the heart. Existing reconstruction methods s
Autor:
Kyong Hwan Jin
Publikováno v:
IEEE Signal Processing Letters. 28:1016-1019
We discover that a trainable convolution layer with a stride over 1 and kernel $\geq$ stride is identical to a trainable block transform. A block transform is performed when we use a convolution layer with a stride $\geq\!2$ and a kernel $\geq$ the s
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197963
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e6077f1a54aebb23213510cb76eacff
https://doi.org/10.1007/978-3-031-19797-0_11
https://doi.org/10.1007/978-3-031-19797-0_11
Publikováno v:
IEEE Transactions on Image Processing. 27:4771-4786
Localization microscopy, such as STORM / PALM, can reconstruct super-resolution images with a nanometer resolution through the iterative localization of fluorescence molecules. Recent studies in this area have focused mainly on the localization of de
Autor:
Kyong Hwan Jin, Hongyoon Choi
Publikováno v:
Behavioural Brain Research. 344:103-109
For effective treatment of Alzheimer's disease (AD), it is important to identify subjects who are most likely to exhibit rapid cognitive decline. We aimed to develop an automatic image interpretation system based on a deep convolutional neural networ
Publikováno v:
IEEE Signal Processing Magazine. 34:85-95
In this article, we review recent uses of convolutional neural networks (CNNs) to solve inverse problems in imaging. It has recently become feasible to train deep CNNs on large databases of images, and they have shown outstanding performance on objec
Autor:
Hongyoon Choi, Kyong Hwan Jin
Publikováno v:
Journal of Neuroscience Methods. 274:146-153
Background Automated segmentation of brain structures is an important task in structural and functional image analysis. We developed a fast and accurate method for the striatum segmentation using deep convolutional neural networks (CNN). New method T