Works matching AU Kim, Myeongsoo

Results: 11

Active small bowel sparing in intracavitary brachytherapy for cervical cancer.

Published in:

Japanese Journal of Clinical Oncology, 2022, v. 52, n. 3, p. 266, doi. 10.1093/jjco/hyab197

By:

Goh, Youngmoon;
Kim, Dohyeon;
Kim, Joo-Young;
Kim, Hak Soo;
Jeong, Jong Hwi;
Lee, Sung Uk;
Youn, Sang Hee;
Oh, Eun Sang;
Ha, Bo Ram;
Yeo, Adam Unjin;
Kim, Myeongsoo;
Shin, Dongho;
Lee, Se Byeong;
Kim, Yeon-Joo;
Kim, Tae Hyun;
Lim, Young Kyung

Publication type:

Article

Dose Profile Modulation of Proton Minibeam for Clinical Application.

Published in:

Cancers, 2022, v. 14, n. 12, p. 2888, doi. 10.3390/cancers14122888

By:

Kim, Myeongsoo;
Hwang, Ui-Jung;
Park, Kyeongyun;
Kim, Dohyeon;
Kim, Hak Soo;
Choi, Sang Hyoun;
Jeong, Jong Hwi;
Shin, Dongho;
Lee, Se Byeong;
Kim, Joo-Young;
Kim, Tae Hyun;
Baek, Hye Jung;
Kim, Hojin;
Kim, Kihwan;
Kim, Sang Soo;
Lim, Young Kyung

Publication type:

Article

Treatment Outcomes after Postoperative Radiotherapy in Triple-Negative Breast Cancer: Multi-Institutional Retrospective Study (KROG 17-05).

Published in:

Journal of Personalized Medicine, 2024, v. 14, n. 9, p. 941, doi. 10.3390/jpm14090941

By:

Kim, Jin Hee;
Byun, Sang Jun;
Kim, Myeongsoo;
Shin, Kyung Hwan;
Kim, Dong Yun;
Lee, Han Byoel;
Kim, Tae Hyun;
Kim, Yeon Joo;
Kim, Yong Bae;
Chang, Jee Suk;
Kim, Kyubo;
Lee, Sun Young

Publication type:

Article

Dummy run quality assurance study in the Korean Radiation Oncology Group 19 - 09 multi-institutional prospective cohort study of breast cancer.

Published in:

2022

By:

Kim, Myeongsoo;
Park, Boram;
Kim, Haksoo;
Kim, Yeon-Joo;
Choi, Dong Ju;
Chung, Weonkuu;
Kim, Yeon Joo;
Shin, Hyun Soo;
Im, Jung Ho;
Suh, Chang-Ok;
Kim, Jin Hee;
Ha, Boram;
Kim, Mi Young;
Park, Jongmoo;
Lee, Jeongshim;
Ahn, Sung-Ja;
Lee, Sun Young;
Kusumawidjaja, Grace;
Lim, Faye;
Cho, Won Kyung

Publication type:

journal article

Regulating Interparticle Proximity in Plasmonic Nanosphere Aggregates to Enhance Photoacoustic Response and Photothermal Stability.

Published in:

Advanced Functional Materials, 2024, v. 34, n. 24, p. 1, doi. 10.1002/adfm.202313963

By:

Kim, Myeongsoo;
Kubelick, Kelsey P.;
Yu, Anthony M.;
VanderLaan, Don;
Jhunjhunwala, Anamik;
Nikolai, Robert J.;
Cadena, Melissa;
Kim, Jinhwan;
Emelianov, Stanislav Y.

Publication type:

Article

Tunable Interparticle Connectivity in Gold Nanosphere Assemblies for Efficient Photoacoustic Conversion (Adv. Funct. Mater. 51/2023).

Published in:

Advanced Functional Materials, 2023, v. 33, n. 51, p. 1, doi. 10.1002/adfm.202370303

By:

Kim, Myeongsoo;
Kim, Jinhwan;
VanderLaan, Don;
Kubelick, Kelsey P.;
Jhunjhunwala, Anamik;
Choe, Ayoung;
Emelianov, Stanislav Y.

Publication type:

Article

Tunable Interparticle Connectivity in Gold Nanosphere Assemblies for Efficient Photoacoustic Conversion.

Published in:

Advanced Functional Materials, 2023, v. 33, n. 51, p. 1, doi. 10.1002/adfm.202305202

By:

Kim, Myeongsoo;
Kim, Jinhwan;
VanderLaan, Don;
Kubelick, Kelsey P.;
Jhunjhunwala, Anamik;
Choe, Ayoung;
Emelianov, Stanislav Y.

Publication type:

Article

MRI-guided brachytherapy for cervical cancer treatment: The significance of bladder morphology in dose distribution planning.

Published in:

Journal of Contemporary Brachytherapy, 2024, v. 16, n. 3, p. 184, doi. 10.5114/jcb.2024.140931

By:

Euncheol Choi;
Byungyong Kim;
Sang Jun Byun;
Jin Hee Kim;
Seung Gyu Park;
Myeongsoo Kim

Publication type:

Article

The Role of Radiotherapy at Each Progression of Hepatocellular Carcinoma: Case Report.

Published in:

2024

By:

Sang Jun Byun;
Euncheol Choi;
Seung Gyu Park;
Myeongsoo Kim;
Byungyong Kim;
Byung Kuk Jang;
Tae-seok Kim;
Minjae Kim

Publication type:

Case Study

Deep learning method for prediction of patient-specific dose distribution in breast cancer.

Published in:

2021

By:

Ahn, Sang Hee;
Kim, EunSook;
Kim, Chankyu;
Cheon, Wonjoong;
Kim, Myeongsoo;
Lee, Se Byeong;
Lim, Young Kyung;
Kim, Haksoo;
Shin, Dongho;
Kim, Dae Yong;
Jeong, Jong Hwi

Publication type:

journal article

Facial expression monitoring system for predicting patient's sudden movement during radiotherapy using deep learning.

Published in:

Journal of Applied Clinical Medical Physics, 2020, v. 21, n. 8, p. 191, doi. 10.1002/acm2.12945

By:

Kim, Kwang Hyeon;
Park, Kyeongyun;
Kim, Haksoo;
Jo, Byungdu;
Ahn, Sang Hee;
Kim, Chankyu;
Kim, Myeongsoo;
Kim, Tae Ho;
Lee, Se Byeong;
Shin, Dongho;
Lim, Young Kyung;
Jeong, Jong Hwi

Publication type:

Article