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Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|March 17, 2018
Individualized prediction of perineural invasion in colorectal cancer: development and validation of a radiomics prediction modelYanqi Huang, Lan He, Di Dong, et al.
Clinical Breast Cancer|January 16, 2021
Radiomic Nomogram for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Therapy in Breast Cancer: Predictive Value of Staging Contrast-enhanced CTXiaomei Huang, Jinhai Mai, Yanqi Huang, et al.
BJR Open|November 25, 2024
Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methodsFrank J P Hoebers, Leonard Wee, Jirapat Likitlersuang, et al.
Abdominal Radiology (New York)|April 10, 2025
Improving radiologists' diagnostic accuracy for lymphovascular invasion in colorectal cancer: insights from a multicenter CT-based studyWenjun Diao, Kaiqi Hou, Xiaobo Chen, et al.
European Journal of Radiology|June 21, 2017
CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphomaZelan Ma, Mengjie Fang, Yanqi Huang, et al.
Journal of Hazardous Materials|July 16, 2025
Magnetic labelling and extraction of micrometer-sized microplastics from sandy soilYin Liu, Junwei Hu, Yanqi Huang, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|May 16, 2020
Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics featuresXiaojun Yang, Lei Wu, Ke Zhao, et al.
Ebiomedicine|June 5, 2025
Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancerChenyi Xie, Ziyu Ning, Ting Guo, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 6, 2025
Optimizing MR-based attenuation correction in hybrid PET/MR using deep learning: validation with a flatbed insert and consistent patient positioningHanzhong Wang, Yue Wang, Qiaoyi Xue, et al.
Academic Radiology|January 27, 2020
Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal CancerXiaomei Wu, Yajun Li, Xin Chen, et al.
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