Publications by authors named "Junming Jian"

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Innovative patient-specific delivered-dose prediction for volumetric modulated arc therapy using lightweight Swin-Transformer.
Yongqiang Zhou, Changfei Gong, Junming Jian, Yun Zhang

Front Oncol· October 2025

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Focal bone defects in type 2 diabetes mellitus patients with acute hip fractures.
Yi Yuan, Rui Zhang, Minghui Yang, Wei Xia, Yongbin Su, Junming Jian

Quant Imaging Med Surg· October 2025

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Automated contouring of gross tumor volume lymph nodes in lung cancer by deep learning.
Yuling Huang, Xingxing Yuan, Longfei Xu, Junming Jian, Changfei Gong

BMC Cancer· September 2025

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Boundary information-guided adversarial diffusion model for efficient unsupervised synthetic CT generation.
Changfei Gong, Junming Jian, Yuling Huang, Mingming Luo, Shenggou Ding

Med Phys· June 2025

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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections.
Yuling Huang, Mingming Luo, Zan Luo, Mingzhi Liu, Junyu Li, Junming Jian

Radiat Oncol· April 2025

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Measurement-guided therapeutic-dose prediction using multi-level gated modality-fusion model for volumetric-modulated arc radiotherapy.
Changfei Gong, Yuling Huang, Junming Jian, Wenheng Zheng, Xiaoping Wang

Front Oncol· March 2025

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Improving Radiotherapy Plan Quality for Nasopharyngeal Carcinoma With Enhanced UNet Dose Prediction.
Junming Jian, Xingxing Yuan, Longfei Xu, Changfei Gong, Xiaochang Gong

Cancer Med· February 2025

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Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian Cancer.
Yong'ai Li, Junming Jian, Huijie Ge, Xin Gao, Jinwei Qiang

J Magn Reson Imaging· December 2024

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Multicenter Evaluation of a Weakly Supervised Deep Learning Model for Lymph Node Diagnosis in Rectal Cancer at MRI.
Wei Xia, Dandan Li, Wenguang He, Perry J Pickhardt, Junming Jian

Radiol Artif Intell· March 2024

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Deep Learning-Based Fully Automated Segmentation of Regional Muscle Volume and Spatial Intermuscular Fat Using CT.
Rui Zhang, Aiting He, Wei Xia, Yongbin Su, Junming Jian

Acad Radiol· October 2023

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Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology.
Liting Shi, Lin Shen, Junming Jian, Wei Xia, Ke-Da Yang, Jianghai Huang

Brain Pathol· July 2023

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Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images.
Dingdu Hu, Junming Jian, Yongai Li, Xin Gao

Quant Imaging Med Surg· March 2023

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Preoperative CECT-based Radiomic Signature for Predicting the Response of Transarterial Chemoembolization (TACE) Therapy in Hepatocellular Carcinoma.
Honglin Bai, Siyu Meng, Chuanfeng Xiong, Zhao Liu, Wei Shi, Junming Jian

Cardiovasc Intervent Radiol· October 2022

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Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images.
Yongyang Bao, Jiayi Zhang, Xingyu Zhao, Henghua Zhou, Ying Chen, Junming Jian

J Dermatolog Treat· August 2022

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MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors.
Junming Jian, Yong'ai Li, Wei Xia, Zhang He, Rui Zhang

J Magn Reson Imaging· July 2022

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CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy.
Fengchang Yang, Jiayi Zhang, Liu Zhou, Wei Xia, Rui Zhang, Junming Jian

Eur Radiol· March 2022

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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.
Junming Jian, Wei Xia, Rui Zhang, Xingyu Zhao, Jiayi Zhang

Artif Intell Med· November 2021

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3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images.
Xingyu Zhao, Xiang Wang, Wei Xia, Rui Zhang, Junming Jian

Comput Med Imaging Graph· October 2021

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MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers.
Junming Jian, Yong'ai Li, Perry J Pickhardt, Wei Xia, Zhang He, Jingxuan Jiang

Eur Radiol· January 2021

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MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.
Yong'ai Li, Junming Jian, Perry J Pickhardt, Fenghua Ma, Wei Xia, Jingxuan Jiang

J Magn Reson Imaging· September 2020

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Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib.
Lei Zhang, Wei Xia, Zhi-Ping Yan, Jun-Hui Sun, Bin-Yan Zhong, Jun-Ming Jian

Front Oncol· September 2020

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A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma.
Xingyu Zhao, Xiang Wang, Wei Xia, Qiong Li, Liu Zhou, Junming Jian

Lung Cancer· July 2020

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Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study.
Xingyu Zhao, Peiyi Xie, Mengmeng Wang, Wenru Li, Perry J Pickhardt, Junming Jian

EBioMedicine· June 2020

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Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images.
Yi Dong, Liu Zhou, Wei Xia, Xing-Yu Zhao, Qi Zhang, Jun-Ming Jian

Front Oncol· March 2020

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Full convolutional network based multiple side-output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi-vendor study.
Mengmeng Wang, Peiyi Xie, Zhao Ran, Junming Jian, Rui Zhang

Med Phys· June 2019

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