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Lee, Seungbo
138
results:
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Online (138)
Mediatypes
Articles (Online) (85)
Bookchapter (Online) (6)
OpenAccess-fulltext (47)
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1
Comparative study of time-frequency transformation methods ..:
Song, Min-Seo
;
Lee, Seung-Bo
Frontiers in Signal Processing. 4 (2024) - p. , 2024
Link:
https://doi.org/10.3389/..
?
2
Non-invasive prediction of massive transfusion during surge..:
Kwon, Doyun
;
Mi Jung, Young
;
Lee, Hyung-Chul
...
Journal of Biomedical Informatics. 156 (2024) - p. 104680 , 2024
Link:
https://doi.org/10.1016/..
?
3
Machine Learning-Based Discrimination of Cardiovascular Out..:
Rhee, Tae-Min
;
Ko, Yeon-Kyoung
;
Kim, Hyung-Kwan
...
JACC: Asia. 4 (2024) 5 - p. 375-386 , 2024
Link:
https://doi.org/10.1016/..
?
4
PRISM: Deep metric learning based personal grouping method ..:
Kim, Kyungdo
;
Kim, Kwangsoo
;
Lee, Seung-Bo
Neurocomputing. 593 (2024) - p. 127805 , 2024
Link:
https://doi.org/10.1016/..
?
5
Menthol excites dural afferent neurons by inhibiting leak K..:
Lee, Seungbo
;
Jang, Il-Sung
Neuroscience Letters. 813 (2023) - p. 137427 , 2023
Link:
https://doi.org/10.1016/..
?
6
Machine learning-based prediction model for emergency depar..:
Park, Soyoung
;
Lee, Changwoo
;
Lee, Seung-Bo
.
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
7
Predicting Deterioration from Wearable Sensor Data in Peopl..:
Kang, Jin-Yeong
;
Bae, Ye Seul
;
Chie, Eui Kyu
.
Sensors. 23 (2023) 23 - p. 9597 , 2023
Link:
https://doi.org/10.3390/..
?
8
Real-time prediction of massive transfusion during cesarean..:
Kwon, Do Yun
;
Jung, Young Mi
;
Lee, Seung-Bo
...
American Journal of Obstetrics and Gynecology. 228 (2023) 1 - p. S150-S151 , 2023
Link:
https://doi.org/10.1016/..
?
9
Machine learning model for predicting immediate postoperati..:
Shin, Youmin
;
Kim, Yoon Jung
;
Jin, Juseong
...
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
10
Using spectral and temporal filters with EEG signal to pred..:
Shin, Youmin
;
Hwang, Sungeun
;
Lee, Seung-Bo
...
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
11
Development and validation of a machine learning-based fall..:
Heo, Kyu-Nam
;
Seok, Jeong Yeon
;
Ah, Young-Mi
...
BMC Geriatrics. 23 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1186/..
?
12
Mo1653: IMPROVING CLINICAL DECISIONS ON COMPUTED TOMOGRAPHY..:
Kim, Joo Seong
;
Kim, Kyungdo
;
Lee, Sang Hyub
...
Gastroenterology. 162 (2022) 7 - p. S-843 , 2022
Link:
https://doi.org/10.1016/..
?
13
Using the Axial Oblique View of Computed Tomography (CT) in..:
Song, Kwang-Soon
;
Yon, Chang-Jin
;
Heo, Yu-Ran
...
Diagnostics. 12 (2022) 8 - p. 1820 , 2022
Link:
https://doi.org/10.3390/..
?
14
Residual one-dimensional convolutional neural network for n..:
Yoo, Jaesung
;
Yoo, Ilhan
;
Youn, Ina
...
Computer Methods and Programs in Biomedicine. 226 (2022) - p. 107079 , 2022
Link:
https://doi.org/10.1016/..
?
15
Detection of Depression and Suicide Risk Based on Text From..:
Shin, Daun
;
Kim, Kyungdo
;
Lee, Seung-Bo
...
Frontiers in Psychiatry. 13 (2022) - p. , 2022
Link:
https://doi.org/10.3389/..
1-15