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2023 연구성과별 연구자 정보 (1548 / 2675)
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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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine learning models based on radiomics features to predict treatment response, biomarker status, and bone metastasis in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) | Agrawal, Rishi | Agrawal, R | 18 | |||||||
| Machine learning models based on radiomics features to predict treatment response, biomarker status, and bone metastasis in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) | Aouad, Pascale | Aouad, P | 19 | |||||||
| Machine learning models based on radiomics features to predict treatment response, biomarker status, and bone metastasis in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) | Chae, Young Kwang | Chae, YK | 20 | |||||||
| Machine Learning-Based Batch Processing for Calibration of Model and Noise Parameters | Lee, Kyuman | Lee, K | 1 | 교신저자 | Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu, South Korea | AAM-6979-2020 | lee, kyuman | klee400@knu.ac.kr; | ||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Jung, Y. | Jung, Y | 1 | Yonsei Univ, Dept Obstet & Gynecol, Coll Med, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Heo, S. | Heo, S | 2 | Yonsei Univ, Dept Biomed Syst Informat, Coll Med, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Kwon, H. | Kwon, H | 3 | Yonsei Univ, Dept Obstet & Gynecol, Coll Med, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Park, H. | Park, H | 4 | Dongguk Univ, Dept Obstet & Gynecol, Ilsan Hosp, Goyang, Gyeonggi, Peoples R China | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Oh, S. | Oh, S | 5 | Samsung Med Ctr, Dept Obstet & Gynecol, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Sung, J. | Sung, J | 6 | Samsung Med Ctr, Dept Obstet & Gynecol, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Seol, H. | Seol, H | 7 | Kyung Hee Univ Hosp Gangdong, Dept Obstet & Gynecol, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Kim, H. | Kim, H | 8 | Kyungpook Natl Univ, Dept Obstet & Gynecol, Sch Med, Daegu, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Seong, W. | Seong, W | 9 | Kyungpook Natl Univ, Dept Obstet & Gynecol, Sch Med, Daegu, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Hwang, H. | Hwang, H | 10 | Konkuk Univ, Med Ctr, Dept Obstet & Gynecol, Seoul, South Korea | ||||||
| Machine learning-based prediction model for spontaneous preterm birth in singleton pregnancies using mid-trimester cervical elastographic parameters | Jung, I. | Jung, I | 11 | Yonsei Univ, Dept Biomed Syst Informat, Coll Med, Seoul, South Korea |
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