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Haicheng Zhang

Showing results (71-80 of 86) with videos related to

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International Journal of Surgery (London, England)|August 14, 2023
Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic studyGuibin Zheng, Haicheng Zhang, Fusheng Lin, et al.
Food Chemistry|February 9, 2022
Spatio-temporal patterns of Aspergillus flavus infection and aflatoxin B<sub>1</sub> biosynthesis on maize kernels probed by SWIR hyperspectral imaging and synchrotron FTIR microspectroscopyYao Lu, Beibei Jia, Seung-Chul Yoon, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 11, 2022
Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRIJing Gao, Xin Zhong, Wenjuan Li, et al.
International Forum of Allergy & Rhinology|May 19, 2025
Development and Validation an Integrated Deep Learning Model to Assist Eosinophilic Chronic Rhinosinusitis Diagnosis: A Multicenter StudyJingjing Li, Ning Mao, Surita Aodeng, et al.
Frontiers in Oncology|May 15, 2026
Intra- and peritumoral radiomics for predicting equivocal HER2 status of breast cancer on contrast-enhanced mammographyCong Xu, Juan Qiu, Shijie Zhang, et al.
Global Change Biology|January 12, 2020
Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbonHaicheng Zhang, Daniel S Goll, Ying-Ping Wang, et al.
Science Advances|April 30, 2025
A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancerNing Mao, Yi Dai, Heng Zhou, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|September 11, 2023
Detection and classification of breast lesions using multiple information on contrast-enhanced mammography by a multiprocess deep-learning system: A multicenter studyYuqian Chen, Zhen Hua, Fan Lin, et al.
Ebiomedicine|August 27, 2024
Multiregional dynamic contrast-enhanced MRI-based integrated system for predicting pathological complete response of axillary lymph node to neoadjuvant chemotherapy in breast cancer: multicentre studyZiyin Li, Jing Gao, Heng Zhou, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 27, 2023
Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter StudyHeng Zhou, Zhen Hua, Jing Gao, et al.
Pageof 9

Showing results (71-80 of 86) with videos related to

Sort By:
Pageof 9
International Journal of Surgery (London, England)|August 14, 2023
Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic studyGuibin Zheng, Haicheng Zhang, Fusheng Lin, et al.
Food Chemistry|February 9, 2022
Spatio-temporal patterns of Aspergillus flavus infection and aflatoxin B<sub>1</sub> biosynthesis on maize kernels probed by SWIR hyperspectral imaging and synchrotron FTIR microspectroscopyYao Lu, Beibei Jia, Seung-Chul Yoon, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 11, 2022
Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRIJing Gao, Xin Zhong, Wenjuan Li, et al.
International Forum of Allergy & Rhinology|May 19, 2025
Development and Validation an Integrated Deep Learning Model to Assist Eosinophilic Chronic Rhinosinusitis Diagnosis: A Multicenter StudyJingjing Li, Ning Mao, Surita Aodeng, et al.
Frontiers in Oncology|May 15, 2026
Intra- and peritumoral radiomics for predicting equivocal HER2 status of breast cancer on contrast-enhanced mammographyCong Xu, Juan Qiu, Shijie Zhang, et al.
Global Change Biology|January 12, 2020
Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbonHaicheng Zhang, Daniel S Goll, Ying-Ping Wang, et al.
Science Advances|April 30, 2025
A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancerNing Mao, Yi Dai, Heng Zhou, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|September 11, 2023
Detection and classification of breast lesions using multiple information on contrast-enhanced mammography by a multiprocess deep-learning system: A multicenter studyYuqian Chen, Zhen Hua, Fan Lin, et al.
Ebiomedicine|August 27, 2024
Multiregional dynamic contrast-enhanced MRI-based integrated system for predicting pathological complete response of axillary lymph node to neoadjuvant chemotherapy in breast cancer: multicentre studyZiyin Li, Jing Gao, Heng Zhou, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 27, 2023
Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter StudyHeng Zhou, Zhen Hua, Jing Gao, et al.
Pageof 9