Myung-Chul Lee
Overview
Explore the profile of Myung-Chul Lee including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
38
Citations
394
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Lee J, Kim Y, Ahn Y, Park S, Kong H, Choi J, et al.
Sci Rep
. 2023 Jan;
13(1):1360.
PMID: 36693894
Neural network models have been used to analyze thyroid ultrasound (US) images and stratify malignancy risk of the thyroid nodules. We investigated the optimal neural network condition for thyroid US...
2.
Moon K, Lee M, Han K
Psych J
. 2022 Nov;
12(2):169-177.
PMID: 36336337
The present study aimed to explore the effects of motionless imagery training with an avatar in virtual reality (VR) on emotion, cognition, and physiological response changes in healthy adults. Participants...
3.
Lee M, Ahn J, Choi I, Lee B, Ryu J
Clin Exp Otorhinolaryngol
. 2022 May;
15(3):283-291.
PMID: 35538719
Objectives: This study aimed to present our experiences with various approaches for endoscopic thyroidectomy (ET) and to offer lessons for choosing an approach. Methods: The medical records of 701 patients...
4.
Wang X, Lee M, Choi Y, Kim S, Han S, Desta K, et al.
Plants (Basel)
. 2021 Oct;
10(10).
PMID: 34685921
Proso millet ( L.) or broomcorn millet is among the most important food crops to be domesticated by humans; it is widely distributed in America, Europe, and Asia. In this...
5.
Lee H, Chai Y, Joo H, Lee K, Hwang J, Kim S, et al.
JMIR Med Inform
. 2021 Apr;
9(5):e25869.
PMID: 33858817
Background: Federated learning is a decentralized approach to machine learning; it is a training strategy that overcomes medical data privacy regulations and generalizes deep learning algorithms. Federated learning mitigates many...
6.
Ahn J, Choi J, Kang J, Choi I, Lee M, Lee B, et al.
J Audiol Otol
. 2021 Jan;
25(2):80-88.
PMID: 33455153
Background And Objectives: Non-linear frequency compression (NLFC) technology compresses and shifts higher frequencies into a lower frequency area that has better residual hearing. Because consonants are uttered in the high-frequency...
7.
Noel J, Lee M, Tam K, Lim G, Holsinger F, Koh Y
Head Neck
. 2020 Aug;
42(12):3663-3669.
PMID: 32852084
Background: In this study, we evaluate a new flexible, single-arm robotic system in performing thyroidectomy via a retroauricular approach. Methods: Four fresh cadavers were used. Technical details of the new...
8.
Kwon S, Choi I, Kang J, Jang W, Lee G, Lee M
J Digit Imaging
. 2020 Jul;
33(5):1202-1208.
PMID: 32705433
Ultrasonography with fine-needle aspiration biopsy is commonly used to detect thyroid cancer. However, thyroid ultrasonography is prone to subjective interpretations and interobserver variabilities. The objective of this study was to...
9.
Ro D, Lee S, Cho Y, Lee Y, Lee M, Kim S
Indian J Orthop
. 2020 Jun;
54(4):444-453.
PMID: 32549959
Background: To evaluate the effectiveness of demographic data and radiographic measurements for predicting the diameter and length of autologous semitendinosus (ST) and gracilis (GR) graft. Materials And Methods: Fifty-four cases...
10.
Joo Y, Cho J, Koo B, Kwon M, Kwon S, Kwon S, et al.
Clin Exp Otorhinolaryngol
. 2019 Feb;
12(2):107-144.
PMID: 30703871
Korean Society of Thyroid-Head and Neck Surgery appointed a Task Force to provide guidance on the implementation of a surgical treatment of oral cancer. MEDLINE databases were searched for articles...