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Di Dong

Showing results (521-530 of 544) with videos related to

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Postgraduate Medicine|August 8, 2020
Validity, reliability, and application of the electronic version of a chronic kidney disease patient awareness questionnaire: a pilot studyLi Luo, Min Zhang, Hui-Fen Chen, et al.
Ebiomedicine|August 14, 2021
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre studyLianzhen Zhong, Di Dong, Xueliang Fang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 11, 2017
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal CarcinomaBin Zhang, Jie Tian, Di Dong, et al.
Ebiomedicine|November 17, 2022
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre studyYunlang She, Bingxi He, Fang Wang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 23, 2018
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI TherapyJiangdian Song, Jingyun Shi, Di Dong, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 13, 2019
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal CarcinomaHao Peng, Di Dong, Meng-Jie Fang, et al.
Chemical Science|January 23, 2025
Introducing halogen-bonded gates into zeolitic frameworks for efficient benzene/cyclohexene/cyclohexane separationZi-Jun Liang, Fang-Di Dong, Le Ye, et al.
Gastrointestinal Endoscopy|November 28, 2020
Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter studyHao Hu, Lixin Gong, Di Dong, et al.
Translational Lung Cancer Research|May 9, 2022
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival riskBing-Xi He, Yi-Fan Zhong, Yong-Bei Zhu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 13, 2026
Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor MicroenvironmentSihang Cheng, Fuze Cong, Shenbo Zhang, et al.
Pageof 55

Showing results (521-530 of 544) with videos related to

Sort By:
Pageof 55
Postgraduate Medicine|August 8, 2020
Validity, reliability, and application of the electronic version of a chronic kidney disease patient awareness questionnaire: a pilot studyLi Luo, Min Zhang, Hui-Fen Chen, et al.
Ebiomedicine|August 14, 2021
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre studyLianzhen Zhong, Di Dong, Xueliang Fang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 11, 2017
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal CarcinomaBin Zhang, Jie Tian, Di Dong, et al.
Ebiomedicine|November 17, 2022
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre studyYunlang She, Bingxi He, Fang Wang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 23, 2018
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI TherapyJiangdian Song, Jingyun Shi, Di Dong, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 13, 2019
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal CarcinomaHao Peng, Di Dong, Meng-Jie Fang, et al.
Chemical Science|January 23, 2025
Introducing halogen-bonded gates into zeolitic frameworks for efficient benzene/cyclohexene/cyclohexane separationZi-Jun Liang, Fang-Di Dong, Le Ye, et al.
Gastrointestinal Endoscopy|November 28, 2020
Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter studyHao Hu, Lixin Gong, Di Dong, et al.
Translational Lung Cancer Research|May 9, 2022
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival riskBing-Xi He, Yi-Fan Zhong, Yong-Bei Zhu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 13, 2026
Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor MicroenvironmentSihang Cheng, Fuze Cong, Shenbo Zhang, et al.
Pageof 55