Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Park, Jongchan"'
Autor:
Brattoli, Biagio, Mostafavi, Mohammad, Lee, Taebum, Jung, Wonkyung, Ryu, Jeongun, Park, Seonwook, Park, Jongchan, Pereira, Sergio, Shin, Seunghwan, Choi, Sangjoon, Kim, Hyojin, Yoo, Donggeun, Ali, Siraj M., Paeng, Kyunghyun, Ock, Chan-Young, Cho, Soo Ick, Kim, Seokhwi
Despite advancements in methodologies, immunohistochemistry (IHC) remains the most utilized ancillary test for histopathologic and companion diagnostics in targeted therapies. However, objective IHC assessment poses challenges. Artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2407.20643
Software bugs pose an ever-present concern for developers, and patching such bugs requires a considerable amount of costs through complex operations. In contrast, introducing bugs can be an effortless job, in that even a simple mutation can easily br
Externí odkaz:
http://arxiv.org/abs/2303.00303
Hyperspectral retinal imaging in Alzheimer's disease and age-related macular degeneration: a review.
Autor:
Du, Xiaoxi1 (AUTHOR), Park, Jongchan1 (AUTHOR), Zhao, Ruixuan1 (AUTHOR), Smith, R. Theodore2 (AUTHOR), Koronyo, Yosef3 (AUTHOR), Koronyo-Hamaoui, Maya3,4,5 (AUTHOR), Gao, Liang1 (AUTHOR) gaol@ucla.edu
Publikováno v:
Acta Neuropathologica Communications. 10/3/2024, Vol. 12 Issue 1, p1-16. 16p.
To train the change detector, bi-temporal images taken at different times in the same area are used. However, collecting labeled bi-temporal images is expensive and time consuming. To solve this problem, various unsupervised change detection methods
Externí odkaz:
http://arxiv.org/abs/2204.01200
Labeling a large set of data is expensive. Active learning aims to tackle this problem by asking to annotate only the most informative data from the unlabeled set. We propose a novel active learning approach that utilizes self-supervised pretext task
Externí odkaz:
http://arxiv.org/abs/2201.07459
When the trained physician interprets medical images, they understand the clinical importance of visual features. By applying cognitive attention, they apply greater focus onto clinically relevant regions while disregarding unnecessary features. The
Externí odkaz:
http://arxiv.org/abs/2109.01486
Autor:
Park, Jongchan, Gao, Liang
Publikováno v:
In Current Opinion in Solid State & Materials Science June 2024 30
Publikováno v:
Electronics 2022
Deep convolutional neural networks (CNNs) have shown state-of-the-art performances in various computer vision tasks. Advances on CNN architectures have focused mainly on designing convolutional blocks of the feature extractors, but less on the classi
Externí odkaz:
http://arxiv.org/abs/2108.04500
Publikováno v:
In Mechanical Systems and Signal Processing 15 May 2024 214
Publikováno v:
In Teaching and Teacher Education April 2024 140