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Author

Haizhu Xie

Observed name: Hai-zhu Xie
ORCID: 0000-0003-2810-5018
Observed ORCID: 0000-0003-2810-5018
OpenAlex ID: A5111887239
Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography
2022 · Ning Mao, Yinghong Shi, et al. · European Radiology · 99
Attention‐based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE‐MRI
2022 · Jing Gao, Xin Zhong, et al. · Journal of Magnetic Resonance Imaging · 52
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study
2022 · Guangjie Yang, Pei Nie, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 52
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study
2023 · Tiantian Zheng, Fan Lin, et al. · EClinicalMedicine · 45
Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions
2022 · Tianping Li, Linna Sun, et al. · Frontiers in Oncology · 40
Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study
2022 · Ning Mao, Haicheng Zhang, et al. · British Journal of Cancer · 39
Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm
2020 · Fan Lin, Zhongyi Wang, et al. · Frontiers in Oncology · 39
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Diagnostic nomogram based on intralesional and perilesional radiomics features and clinical factors of clinically significant prostate cancer
2021 · Han Zhang, Xianglin Li, et al. · Journal of Magnetic Resonance Imaging · 29
Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter Study
2023 · Zhongyi Wang, Haicheng Zhang, et al. · Academic Radiology · 24
Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter study
2024 · Haicheng Zhang, Fan Lin, et al. · International Journal of Surgery · 13
Radiogenomics nomogram based on MRI and microRNAs to predict microvascular invasion of hepatocellular carcinoma
2024 · Guangchao Hu, Jianyi Qu, et al. · Frontiers in Oncology · 7
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Radiomic Analysis of Contrast-Enhanced Mammography With Different Image Types: Classification of Breast Lesions
2021 · Simin Wang, Ning Mao, et al. · Frontiers in Oncology · 7
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Giant epidermal inclusion cyst with infection arising within the breast parenchyma: a case report
2021 · Yongxia Zhang, Lei Song, et al. · Journal of International Medical Research · 4
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Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer: A multicenter study
2025 · Qin Wang, Feng Zhao, et al. · Chinese Journal of Cancer Research · 3
Association between CT-based adipose variables, preoperative blood biochemical indicators and pathological T stage of clear cell renal cell carcinoma
2024 · Zehua Sun, Yumei Zhang, et al. · Heliyon · 3
Prospective Blinded Comparison of Computed Tomographic Enterography and Small Bowel Endoscopy in Obscure Gastrointestinal Bleeding.
2014 · Pei-you Gong, Jun-xia Li, et al. · PubMed · 2
Intra- and Peritumoral Radiomics for Predicting Equivocal HER2 (IHC2+) Status of Breast Cancer on Contrast-Enhanced Mammography
2025 · Cong Xu, Juan Qiu, et al. · Research Square
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Association between CT-Based Fat Variables, Preoperative Blood Biochemical Indicators and Pathological T Stage of Clear Cell Renal Cell Carcinoma
2023 · Zehua Sun, Yumei Zhang, et al. · SSRN Electronic Journal
Coronary CT angiography shows significant improvement in the diagnosis of calcified plaques by bifurcation angle measurement
2016 · Heng Ma, Shaoling Zhou, et al. · International Journal of Cardiology
Works count: 19
Citation count: 458
H-index: 10
I10-index: 10
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