Jiayi Zhang

发表

MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers

P. Pickhardt, Xingyu Zhao, W. Xia, 2020, European Radiology.

Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors

Xiaodong Wu, Xingyu Zhao, Junming Jian, 2021, Artif. Intell. Medicine.

Deep learning-based fully automated differential diagnosis of eyelid basal cell and sebaceous carcinoma using whole slide images

R. Jia, Jiayi Zhang, Shiqiong Xu, 2021, Quantitative imaging in medicine and surgery.

Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study

J. Ren, Zhenhui Li, Kaikai Wei, 2022, Gastric Cancer.

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib

Rui Zhang, S. Zhang, Xingyu Zhao, 2020, Frontiers in Oncology.

MRI‐Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors

Xingyu Zhao, W. Xia, Junming Jian, 2021, Journal of magnetic resonance imaging : JMRI.

CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy

S. Yuan, Xingyu Zhao, W. Xia, 2021, European Radiology.

A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study

Lei Wu, Zhenwei Shi, J. Ren, 2022, EClinicalMedicine.

Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram

Weijun Peng, W. Xia, Xin Gao, 2021, European Radiology.

Contribution of whole slide imaging‐based deep learning in the assessment of intraoperative and postoperative sections in neuropathology

Liang Shen, Liting Shi, W. Xia, 2023, Brain pathology.

Object extraction via deep learning-based marker-free tracking framework of surgical instruments for laparoscope-holder robots

Xin Gao, Jiayi Zhang, Xin Gao, 2020, International Journal of Computer Assisted Radiology and Surgery.

Deep Learning Predicts Overall Survival of Patients with Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib: A Multicenter Study

Xingyu Zhao, W. Xia, Junming Jian, 2020, SSRN Electronic Journal.

Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation

Yuguo Tang, Jyh-Cheng Chen, W. Xia, 2021, Physical and Engineering Sciences in Medicine.

A 2D/3D Non-rigid Registration Method for Lung Images Based on a Non-linear Correlation Between Displacement Vectors and Similarity Measures

Xin Gao, Qingpeng Jin, Jiayi Zhang, 2021, Journal of Medical and Biological Engineering.

MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.

P. Pickhardt, Xingyu Zhao, W. Xia, 2020, Journal of magnetic resonance imaging : JMRI.

3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images

Yuguo Tang, Xiang Wang, Xingyu Zhao, 2021, Comput. Medical Imaging Graph..

Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images

Xingyu Zhao, Junming Jian, Xin Gao, 2022, The Journal of dermatological treatment.