Yongjian Nian - School of Biomedical Engineering, Third Military Medical University

基本信息

Career Trajectory

Bio

Yongjian Nian received the Ph.D. degree in information and communication engineering from the National University of Defense and Technology, Changsha, China, in 2010. He is an Associate Professor with the School of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China. His research fields include hyperspectral images processing, pattern recognition, and machine learning.

Research Interests

Papers共 69 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Active Learning for Cross-Modal Cardiac Segmentation with Sparse Annotation

Zihang Chen, Weijie Zhao, Jingyang Liu,Puguang Xie, Siyu Hou,Yongjian Nian, Xiaochao Yang, Ruiyan Ma,Haiyan Ding,Jingjing Xiao

Pattern Recognitionpp.111403, (2025)

Cited0Views0EIBibtex

Automatic Segmentation of Esophageal Cancer, Metastatic Lymph Nodes and Their Adjacent Structures in CTA Images Based on the UperNet Swin Network

Runyuan Wang, Xingcai Chen, Xiaoqin Zhang,Ping He,Jinfeng Ma,Huilin Cui,Ximei Cao,Yongjian Nian,Ximing Xu, Wei Wu, Yi Wu

CANCER MEDICINE（2024）

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A Deep-Learning-based Framework for Identifying and Localizing Multiple Abnormalities and Assessing Cardiomegaly in Chest X-ray

Weijie Fan,Yi Yang,Jing Qi,Qichuan Zhang,Cuiwei Liao,Li Wen,Shuang Wang,Guangxian Wang, Yu Xia, Qihua Wu, Xiaotao Fan, Xingcai Chen,Mi He, JingJing Xiao,Liu Yang,Yun Liu,Jia Chen, Bing Wang,Lei Zhang,Liuqing Yang, Hui Gan,Shushu Zhang,Guofang Liu,Xiaodong Ge,Yuanqing Cai, Gang Zhao,Xi Zhang,Mingxun Xie, Huilin Xu,Yi Zhang, Jiao Chen, Jun Li, Shuang Han,Ke Mu,Shilin Xiao,Tingwei Xiong,Yongjian Nian,Dong Zhang

NATURE COMMUNICATIONSno. 1 (2024)

Cited3Views0WOSNATUREBibtex

Real-time Fall Detection Using Wideband Radar and a Lightweight Deep Learning Network

Binyue Cao,Qinwen Ping, Bingwen Liu,Yongjian Nian,Mi He

IEEE SENSORS JOURNALno. 20 (2024): 33682-33693

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Deep Learning-Based Identification and Localization of Intracranial Haemorrhage in Patients with a Large Annotated Head Computed Tomography Dataset: a Retrospective Multicenter Study

Jingjing Liu, Weijie Fan, Yi Yang, Qi Peng,Bingjun Ji, Luxing He,Yang Li, Jing Yuan,Wei Li,Xianqi Wang,Yi Wu,Chen Liu, Qingfang Gong,Mi He, Yeqin Fu,Dong Zhang,Si Zhang,Yongjian Nian

Intelligent Medicine (2024)

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Prostate Zones and Tumor Morphological Parameters on Magnetic Resonance Imaging for Predicting the Tumor-Stage Diagnosis of Prostate Cancer

Shanshan Xu,Xiaobing Liu,Xiaoqin Zhang, Huihui Ji,Runyuan Wang,Huilin Cui,Jinfeng Ma,Yongjian Nian,Yi Wu,Ximei Cao

Diagnostic and Interventional Radiology（2023）

Cited1Views0WOSBibtex

Comparative Study of Female Pelvic Floor among Undeformed High-Resolution Thin-Sectional Anatomical (visible Human) Images and MRI and Ultrasound Images

Qingfang Gong,Yangyun Wang,Li Duan,Ling Lei,Jia Liu,Jie Yao,Jing Qi,Zhou Xu,Yongjian Nian,Yi Wu

Journal of Clinical Ultrasoundno. 2 (2023): 208-218

Cited0Views0WOSBibtex

Deep Learning for Detecting COVID-19 Using Medical Images

Jia Liu,Jing Qi,Wei Chen,Yi Wu,Yongjian Nian

BIOENGINEERING-BASEL（2023）

Cited2Views0WOSBibtex

Study of the Immediately Detection of Mild Traumatic Brain Injury by Feature Engineering on Electroencephalography

Lilong Zhou, Hang Hu,Xu Ning,Zelin Bai,Jia Xu, Lin Xu,Wei Zhuang,Jian Sun,Haisheng Zhang,Feng Wang, Weiheng Cui,Gui Jin,Yongjian Nian,Kui Li,Aowen Duan,Mingsheng Chen

Advanced Biology（2023）

Cited0Views0WOSBibtex

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