Browse "NE-Conference Papers(학술회의논문)" by Author Hwang, Joonil

Showing results 1 to 5 of 5

1
A Deep Learning Model Tailored to Individual Patients for Accurate Clinical Target Volume Delineation on Daily CBCT Scans of Breast Cancer Patients

Hwang, Joonil; Chun, Jaehee; Cho, Seungryong; Kim, Jin Sung, FARO&KORSO 2023, The Korean Society for Radiation Oncology, 2023-10-12

2
Automatic Teeth Segmentation of Panoramic Dental Radiographs

Choi, Yeon Kyoung; Lee, Seoyoung; Kim, Hyeongseok; Hwang, Joonil; Cho, Seungryong, International Forum on Medical Imaging in Asia 2023, IFMIA, 2023-01-10

3
Diffusion Model-Based Generation of CT Slices with Limited Data

Hwang, Joonil; Park, Sangjoon; Cho, Seungryong; Kim, Jin Sung, AAPM 2024 (66th Annual Meeting & Exhibition), American Association of Physicists in Medicine, 2024-07-21

4
Patient-Specific Deep Learning Model for Clinical Target Volume Delineation on Daily CBCT of Breast Cancer Patients based on Intentional Deep Overfit Learning (IDOL) Framework

Hwang, Joonil; Chun, Jaehee; Cho, Seo Hee; Cho, Seungryong; Kim, Jin Sung, 65th Annual Meeting, ASTRO 2023, American Society for Radiation Oncology, 2023-10-02

5
Patient-Specific Intentional Deep Overfit Learning (IDOL) Framework for Clinical Target Volume Segmentation of Breast Cancer Patients with Several Patient-Specific Deep Learning Models

Hwang, Joonil; Chun, Jaehee; Choi, Seo Hee; Cho, Seungryong; Kim, Jin Sung, AAPM 2023 (65rd Annual Meeting & Exhibition), American Association of Physicists in Medicine, 2023-07-25

rss_1.0 rss_2.0 atom_1.0