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Journal of Oncology
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January 10, 2022
Deep Learning to Predict EGFR Mutation and PD-L1 Expression Status in Non-Small-Cell Lung Cancer on Computed Tomography Images
Chengdi Wang, Xiuyuan Xu, Jun Shao, et al.
Translational Oncology
|
June 4, 2021
Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography
Chengdi Wang, Jun Shao, Junwei Lv, et al.
Biochemical and Biophysical Research Communications
|
February 23, 2020
Unraveling the molecular mechanism of BNC105, a phase II clinical trial vascular disrupting agent, provides insights into drug design
Tao Wang, Chengyong Wu, Chengdi Wang, et al.
NPJ Digital Medicine
|
August 23, 2022
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases
Chengdi Wang, Jiechao Ma, Shu Zhang, et al.
Peerj
|
April 18, 2017
Performance of interferon-<i>γ</i> release assay in the diagnosis of tuberculous lymphadenitis: a meta-analysis
Qianqian Liu, Wenzhang Li, Yunfeng Chen, et al.
Nature Biomedical Engineering
|
June 12, 2023
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, et al.
Biochemical and Biophysical Research Communications
|
February 27, 2019
Molecular mechanism of crolibulin in complex with tubulin provides a rationale for drug design
Zhixiong Zhang, Chengdi Wang, Lingling Ma, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu
|
May 18, 2026
Current trends and future directions of artificial intelligence in lung cancer diagnosis
Weilong Hu, Gang Wang, Li Ren, et al.
Frontiers in Oncology
|
June 1, 2022
DeepLN: A Multi-Task AI Tool to Predict the Imaging Characteristics, Malignancy and Pathological Subtypes in CT-Detected Pulmonary Nodules
Chengdi Wang, Jun Shao, Xiuyuan Xu, et al.
Scientific Reports
|
April 26, 2017
Diabetes mellitus and the risk of multidrug resistant tuberculosis: a meta-analysis
Qianqian Liu, Wenzhang Li, Miao Xue, et al.
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of 11
Search research articles
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Showing results (71-80 of 109) with videos related to
Sort By:
Page
of 11
Journal of Oncology
|
January 10, 2022
Deep Learning to Predict EGFR Mutation and PD-L1 Expression Status in Non-Small-Cell Lung Cancer on Computed Tomography Images
Chengdi Wang, Xiuyuan Xu, Jun Shao, et al.
Translational Oncology
|
June 4, 2021
Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography
Chengdi Wang, Jun Shao, Junwei Lv, et al.
Biochemical and Biophysical Research Communications
|
February 23, 2020
Unraveling the molecular mechanism of BNC105, a phase II clinical trial vascular disrupting agent, provides insights into drug design
Tao Wang, Chengyong Wu, Chengdi Wang, et al.
NPJ Digital Medicine
|
August 23, 2022
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases
Chengdi Wang, Jiechao Ma, Shu Zhang, et al.
Peerj
|
April 18, 2017
Performance of interferon-<i>γ</i> release assay in the diagnosis of tuberculous lymphadenitis: a meta-analysis
Qianqian Liu, Wenzhang Li, Yunfeng Chen, et al.
Nature Biomedical Engineering
|
June 12, 2023
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, et al.
Biochemical and Biophysical Research Communications
|
February 27, 2019
Molecular mechanism of crolibulin in complex with tubulin provides a rationale for drug design
Zhixiong Zhang, Chengdi Wang, Lingling Ma, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu
|
May 18, 2026
Current trends and future directions of artificial intelligence in lung cancer diagnosis
Weilong Hu, Gang Wang, Li Ren, et al.
Frontiers in Oncology
|
June 1, 2022
DeepLN: A Multi-Task AI Tool to Predict the Imaging Characteristics, Malignancy and Pathological Subtypes in CT-Detected Pulmonary Nodules
Chengdi Wang, Jun Shao, Xiuyuan Xu, et al.
Scientific Reports
|
April 26, 2017
Diabetes mellitus and the risk of multidrug resistant tuberculosis: a meta-analysis
Qianqian Liu, Wenzhang Li, Miao Xue, et al.
Page
of 11