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| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Predicting energy consumption of building clusters at the design stage using machine learning models | Kavgic, Miroslava | Kavgic, M | 5 | Univ Ottawa, Civil Engn, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada | owolabiabdulhameed@gmail.com; yahaya@knu.ac.kr; mohammad.amir@liverpool.ac.uk; dongjuhsuh@knu.ac.kr; mkavgic@uottawa.ca; dongjunsuh@knu.ac.kr; | |||||
| Predicting energy consumption of building clusters at the design stage using machine learning models | Suh, Dongjun | Suh, D | 6 | 교신저자 | Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea | owolabiabdulhameed@gmail.com; yahaya@knu.ac.kr; mohammad.amir@liverpool.ac.uk; dongjuhsuh@knu.ac.kr; mkavgic@uottawa.ca; dongjunsuh@knu.ac.kr; | ||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Lee, Jeeyeon Elizabeth | Lee, JE | 1 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Park, Sung Joon | Park, SJ | 2 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Kim, Won Hwa | Kim, WH | 3 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Kim, Jaeil | Kim, J | 4 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Kang, Byeongju | Kang, B | 5 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Park, Ho Yong | Park, HY | 6 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Kim, Hye Jung | Kim, HJ | 7 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Chae, Yee Soo | Chae, YS | 8 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Lee, Soo Jung | Lee, SJ | 9 | |||||||
| Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. | Lee, In Hee | Lee, IH | 10 | |||||||
| Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models | Kim, In-Hwan | Kim, IH | 1 | Univ Ulsan, Asan Med Inst Convergence Sci & Technol, Asan Med Ctr, Dept Biomed Engn,Coll Med, Seoul, South Korea | jeuspark@gmail.com; namkugkim@gmail.com; | |||||
| Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models | Jeong, Jiheon | Jeong, J | 2 | Univ Ulsan, Asan Med Inst Convergence Sci & Technol, Asan Med Ctr, Dept Biomed Engn,Coll Med, Seoul, South Korea | jeuspark@gmail.com; namkugkim@gmail.com; | |||||
| Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models | Jeong, Jiheon | Jeong, J | 2 | SK Telecom, Seoul 04539, South Korea | jeuspark@gmail.com; namkugkim@gmail.com; |
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