Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Injung Kim"'
Publikováno v:
Bioengineering, Vol 10, Iss 11, p 1279 (2023)
We propose a novel transfer learning framework for pathological image analysis, the Response-based Cross-task Knowledge Distillation (RCKD), which improves the performance of the model by pretraining it on a large unlabeled dataset guided by a high-p
Externí odkaz:
https://doaj.org/article/05c8ac2f54354521b62b8defe7f560ff
Autor:
Dougho Park, Injung Kim
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7943 (2022)
Intraoperative neurophysiological monitoring (IONM) is being applied to a wide range of surgical fields as a diagnostic tool to protect patients from neural injuries that may occur during surgery. However, several contributing factors complicate the
Externí odkaz:
https://doaj.org/article/4c111833eeac4946bef171067c39acac
Publikováno v:
Journal of KIISE. 50:313-320
Publikováno v:
Journal of KIISE. 50:337-343
Publikováno v:
Journal of KIISE. 48:885-891
Autor:
Seonggyeol Yoon, Injung Kim, Eunseo Choi, Yeseong Kwon, Donghwee Yoon, Chamjin Park, Gyeonghyeop Kim
Publikováno v:
KIISE Transactions on Computing Practices. 26:231-237
Publikováno v:
International Journal of Highway Engineering. 21:1-9
Autor:
Jihyeon Kim, Jeewoong Kim, Chunmyong Park, Yunho Kee, Seonggyeol Yoon, Eunseo Choi, Injung Kim
Publikováno v:
Journal of KIISE. 46:253-259
Publikováno v:
ICASSP
We propose an end-to-end speech synthesizer, Fast DCTTS, that synthesizes speech in real time on a single CPU thread. The proposed model is composed of a carefully-tuned lightweight network designed by applying multiple network reduction and fidelity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::744e49144cf585e83c52d0df34864a3d
http://arxiv.org/abs/2104.00624
http://arxiv.org/abs/2104.00624
Autor:
Jin Young Kim, Chang Min Park, Injung Kim, Gun Ha Kim, Jeongkuk Seo, Donghoon Kang, Jae Hyun Kim, Jason R. Andrews
Publikováno v:
Journal of Clinical Medicine
Volume 9
Issue 6
Journal of Clinical Medicine, Vol 9, Iss 1981, p 1981 (2020)
Volume 9
Issue 6
Journal of Clinical Medicine, Vol 9, Iss 1981, p 1981 (2020)
Early identification of pneumonia is essential in patients with acute febrile respiratory illness (FRI). We evaluated the performance and added value of a commercial deep learning (DL) algorithm in detecting pneumonia on chest radiographs (CRs) of pa