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Xipeng Pan

Showing results (31-40 of 39) with videos related to

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Environmental Research|April 27, 2026
Variable Effects of Biochar on Soil Greenhouse Gas Emissions: A Meta-Analysis of Climate, Soil, and Biochar Property InteractionsXiaocheng Liu, Huan Chen, Zhanlei Pan, et al.
IEEE Transactions on Medical Imaging|April 5, 2023
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound ImagesYuhao Mo, Chu Han, Yu Liu, et al.
International Ophthalmology|January 3, 2023
An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy imagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Translational Vision Science & Technology|April 7, 2023
A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy ImagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Cancer Cell International|October 31, 2021
A deep learning quantified stroma-immune score to predict survival of patients with stage II-III colorectal cancerZeyan Xu, Yong Li, Yingyi Wang, et al.
Iscience|December 12, 2022
Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinomaXipeng Pan, Huan Lin, Chu Han, et al.
Journal of Translational Medicine|June 7, 2022
Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratificationHuan Lin, Xipeng Pan, Zhengyun Feng, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|March 13, 2025
Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer: A multicenter studyQin Wang, Feng Zhao, Haicheng Zhang, et al.
Cancer Letters|February 15, 2025
Multimodal radiopathological integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: A multicentre studyHuan Lin, Junjie Hua, Zhengze Gong, et al.
Pageof 4

Showing results (31-40 of 39) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 39 results.
Environmental Research|April 27, 2026
Variable Effects of Biochar on Soil Greenhouse Gas Emissions: A Meta-Analysis of Climate, Soil, and Biochar Property InteractionsXiaocheng Liu, Huan Chen, Zhanlei Pan, et al.
IEEE Transactions on Medical Imaging|April 5, 2023
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound ImagesYuhao Mo, Chu Han, Yu Liu, et al.
International Ophthalmology|January 3, 2023
An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy imagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Translational Vision Science & Technology|April 7, 2023
A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy ImagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Cancer Cell International|October 31, 2021
A deep learning quantified stroma-immune score to predict survival of patients with stage II-III colorectal cancerZeyan Xu, Yong Li, Yingyi Wang, et al.
Iscience|December 12, 2022
Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinomaXipeng Pan, Huan Lin, Chu Han, et al.
Journal of Translational Medicine|June 7, 2022
Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratificationHuan Lin, Xipeng Pan, Zhengyun Feng, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|March 13, 2025
Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer: A multicenter studyQin Wang, Feng Zhao, Haicheng Zhang, et al.
Cancer Letters|February 15, 2025
Multimodal radiopathological integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: A multicentre studyHuan Lin, Junjie Hua, Zhengze Gong, et al.
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