Yao Ai

发表

Radiomics in cervical cancer: Current applications and future potential.

Xiance Jin, C. Xie, Haiyan Zhu, 2020, Critical reviews in oncology/hematology.

The Effects of Automatic Segmentations on Preoperative Lymph Node Status Prediction Models With Ultrasound Radiomics for Patients With Early Stage Cervical Cancer

Xiance Jin, Juebin Jin, C. Xie, 2022, Technology in cancer research & treatment.

Cross verification of independent dose recalculation, log files based, and phantom measurement‐based pretreatment quality assurance for volumetric modulated arc therapy

Xiance Jin, Xiaomin Zheng, Ce Han, 2020, Journal of applied clinical medical physics.

The Influence of Different Ultrasonic Machines on Radiomics Models in Prediction Lymph Node Metastasis for Patients with Cervical Cancer

Juebin Jin, C. Xie, Lei Zhang, 2022, Technology in cancer research & treatment.

Differentiate Thyroid Follicular Adenoma from Carcinoma with Combined Ultrasound Radiomics Features and Clinical Ultrasound Features

Meixiao Shen, Xiance Jin, Juebin Jin, 2022, Journal of Digital Imaging.

Differentiating Primary Tumors for Brain Metastasis with Integrated Radiomics from Multiple Imaging Modalities

Xiance Jin, C. Xie, G. Cao, 2022, Disease markers.

RefineNet‐based 2D and 3D automatic segmentations for clinical target volume and organs at risks for patients with cervical cancer in postoperative radiotherapy

Xiance Jin, Juebin Jin, Ce Han, 2022, Journal of applied clinical medical physics.

The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer

Xiance Jin, Juebin Jin, C. Xie, 2022, Journal of Digital Imaging.

Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images

Xiance Jin, Juebin Jin, C. Xie, 2020, European Radiology.

Impact of setup errors on multi‐isocenter volumetric modulated arc therapy for craniospinal irradiation

Xiance Jin, Xiaomin Zheng, Ce Han, 2020, Journal of applied clinical medical physics.

Preoperative Nomogram for Differentiation of Histological Subtypes in Ovarian Cancer Based on Computer Tomography Radiomics

Jindi Zhang, Xiance Jin, Juebin Jin, 2021, Frontiers in Oncology.

Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors

Jindi Zhang, Xiance Jin, Juebin Jin, 2021, Frontiers in Oncology.

Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images

Xiance Jin, Juebin Jin, C. Xie, 2020, European Radiology.

Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer

Ting Yu, Xiance Jin, Juebin Jin, 2023, Insights into Imaging.

Models of ultrasonic radiomics and clinical characters for lymph node metastasis assessment in thyroid cancer: a retrospective study

Xiance Jin, Juebin Jin, Hui Zhu, 2023, PeerJ.

Multiple U-Net-Based Automatic Segmentations and Radiomics Feature Stability on Ultrasound Images for Patients With Ovarian Cancer

Jindi Zhang, Xiance Jin, Juebin Jin, 2021, Frontiers in Oncology.

Computer Tomography Radiomics-Based Nomogram in the Survival Prediction for Brain Metastases From Non-Small Cell Lung Cancer Underwent Whole Brain Radiotherapy

Xiance Jin, Juebin Jin, C. Xie, 2021, Frontiers in Oncology.

Contrast-enhanced CT based radiomics in the preoperative prediction of perineural invasion for patients with gastric cancer.

Xiance Jin, Ce Han, C. Xie, 2022, European journal of radiology.

MRI radiomics nomogram integrating postoperative adjuvant treatments in recurrence risk prediction for patients with early-stage cervical cancer

Xiance Jin, Juebin Jin, Yao Ai, 2024, Radiotherapy and Oncology.

Evaluation the benefits of additional radiotherapy for gastric cancer patients after D2 resection using CT based radiomics

Didi Chen, Ce Han, Yao Ai, 2023, La radiologia medica.

Preoperative prediction of clinical and pathological stages for patients with esophageal cancer using PET/CT radiomics

Xiance Jin, Juebin Jin, Zhenhua Zhang, 2023, Insights into Imaging.