SMART LAB
Severance Medical data-driven ARtificial
intelligent Theragnosis Lab
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AI-powered Diagnosis
AI-powered treatment planning
Data-driven Clinical outcome Prediction
Miscellaneous
Total 51건
1 페이지
AI-powered Diagnosis
51
"Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean patients for prediction of invasiveness of ground-glass opacity nodule"
Juyoung Lee, Brian Bartholmai, Tobias Peikert, Jaehee Chun, Hojin Kim, Jin Sung Kim, Seong Yong Park,
PLOS ONE,
June 14, 2021.
LINK
50
"Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging"
Seung Hoon Yoo, Hui Geng, Tin Lok Chiu, Siu Ki Yu, Dae Chul Cho, Jin Heo, Min Sung Choi, Il Hyun Choi, Cong Cung Van, Nguen Viet Nhung, Byung Jun Min, and Ho Lee,
Frontiers in Medicine,
7,
427,
July, 2020.
LINK
49
"Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: Model development and validation"
Sohi Bae, Chansik An, Sung Soo Ahn*, Hwiyoung Kim*, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, and Seung-Koo Lee,
Scientific Reports,
10,
12110,
July, 2020.
LINK
48
"Automated detection of cyst and tumors of the jaw using deep learning in panoramic radiographs"
Hyunwoo Yang, Hwiyoung Kim, In-ho Cha, Young-Soo Jung, Woong Nam, Jun young Kim, Jin-Kyu Kim, Yoon Hyeon Kim, Tae Gyeong Oh, Sang-Sun Han, Hyung Jun Kim, and Dongwook Kim,
Journal of Clinical Medicine,
9(6),
1839,
Jun, 2020.
LINK
47
"Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas"
Chaejung Park, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn, Yoon Seung Choi, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Rajan Jain, and Seung-Koo Lee,
European Radiology,
30,
6464–6474,
Aug, 2020.
LINK
46
"Radiomics Features of Hippocampal Regions in Conventional and Diffusion Tensor Imagings can Differentiate Temporal Lobe Epilepsy Patients from Healthy Controls"
Yae Won Park, Yun Seo Choi, Song E Kim, Dongmin Choi, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn, Sol-Ah Kim, Hyeon Jin Kim, Soo Mee Lim, Hyang Woon Lee,
Scientific Reports,
10,
19567,
Nov, 2020.
LINK
45
"Artificial Intelligence in Health Care: Current Applications and Issues"
Chan-Woo Park, Sung Wook Seo, Noeul Kang, BeomSeok Ko, Byung Wook Choi, Chang Min Park, Dong Kyung Chang, Hwiyoung Kim, Hyunchul Kim, Hyunna Lee, Jinhee Jang, Jong Chul Ye, Jong Hong Jeon, Joon Beom Seo, Kwang Joon Kim, Kyu-Hwan Jung, Namkug Kim, Seungwoo,
Journal of Korean Medical Science,
35(42),
e379.,
Nov, 2020.
LINK
AI-powered treatment planning
44
"Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers"
Nalee Kim, Jee Suk Chang, Yong Bae Kim & Jin Sung Kim,
Radiation Oncology,
15,
106,
May, 2020.
LINK
43
"Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer"
Min Seo Choi, Byeong Su Choi, Seung Yeun Chung, Nalee Ki , Jaehee Chun, Yong Bae Kim, Jee Suk Chang , Jin Sung Kim,
Radiotherapy and Oncology,
153,
139-145,
Dec, 2020.
LINK
42
"Deep Learning in Radiation Oncology"
Wonjoong Cheon, Haksoo Kim, Jinsung Kim,
Progress in Medical Physics,
31(3),
111-123,
Sep, 2020.
LINK
41
"Development of deep learning-based algorithm for automatic detection and classification for aortic valve calcium"
Suyon Chang, Young Joo Suh*, Hwiyoung Kim*, Dong Min Choi, Hyunseok Cho, and Byoung Wook Choi,
European Journal of Radiology,
Feb, 2021.
LINK
40
"Clinical Feasibility of Deep Learning-Based Auto-Segmentation of Target Volumes and Organs-at-Risk in Breast Cancer Patients"
Seung Yeun Chung, Jee Suk Chang, Min Seo Choi, Yongjin Chang, Byong Su Choi, Jaehee Chun, Ki Chang Keum, Jin Sung Kim & Yong Bae Kim,
Radiation Oncology,
16,
Article number: 44,
Feb, 2021.
LINK
39
"Feasibility of Continual Deep Learning-Based Segmentation for Personalized Adaptive Radiation Therapy in Head and Neck Area"
Nalee Kim, Jaehee Chun, Jee Suk Chang, Chang Geol Lee, Ki Chang Keum andJin Sung Kim,
Cancers,
13(4),
Feb. 2021.
LINK
Data-driven Clinical outcome Prediction
38
"MRI features may predict molecular features of glioblastoma in isocitrate dehydrogenase wild-type lower-grade gliomas"
Chaejung Park, Kyunghwa Han, Hwiyoung Kim, Sung Soo Ahn, Yoon Seung Choi, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Rajan Jain, and Seung-Koo Lee,
American Journal of Neuroradiology,
Jan, 2021.
LINK
37
"Radiomics with Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients with Prolactinoma"
Yae Won Park, Jihwan Eom, Sooyon Kim, Hwiyoung Kim, Sung Soo Ahn, Cheol Ryong Ku, Eui Hyun Kim, Eun Jig Lee, Sun Ho Kim, Seung-Koo Lee,
Journal of Clinical Endocrinology & Metabolism,
Mar, 2021.
LINK
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