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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) | Kim, Hyeonseon | Kim, H | 3 | |||||||
| 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) | Gennaro, Nicolo | Gennaro, N | 4 | P-1776-2019 | Gennaro, Nicolò | |||||
| 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) | Soliman, Moataz | Soliman, M | 5 | |||||||
| 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) | Kim, Leeseul | Kim, L | 6 | |||||||
| 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) | Oh, Youjin | Oh, Y | 7 | |||||||
| 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) | Djunadi, Trie Arni | Djunadi, TA | 8 | |||||||
| 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) | Lee, Jeeyeon | Lee, J | 9 | |||||||
| 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) | Chung, Liam Il-Young | Chung, LIY | 10 | IQU-0821-2023 | Chung, Liam Il-Young | |||||
| 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) | Yoon, Sung Mi | Yoon, SM | 11 | |||||||
| 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) | Shah, Zunairah | Shah, Z | 12 | |||||||
| 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) | Yang, Won Jun | Yang, WJ | 13 | |||||||
| 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) | Kim, Hye Sung | Kim, HS | 14 | LQV-0440-2024 | Kim, Hye Sung | |||||
| 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) | Lee, Yunjoo | Lee, Y | 15 | |||||||
| 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) | Lee, Soowon | Lee, S | 16 | |||||||
| 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) | Kang, Daeun | Kang, D | 17 |
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