Concepedia

Author

Bingxi He

Shandong Institute of AutomationORCID

Also Known As

B. He, Baiqi He, Beini HE, Bing-Xi He, Bingxi He, He, Bingxi, Yu Zhou

45

Publications

1.3K

Citations

18

H-Index

42

Concepts

All Affiliations

Shandong Institute of AutomationChinese Academy of SciencesUniversity of Chinese Academy of SciencesBeihang UniversityMinistry of Industry and Information Technology
BH

About

Bingxi He is an author at Shandong Institute of Automation specializing in radiology, engineering, and medical imaging.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

3

3

117

2

Health Sciences

2

2

79

3

Language Studies

1

1

38

4

Medicine

1

1

78

5

Public Health

1

1

78

Bingxi He

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19

Publications

1.3K

Citations

18

H-Index

YearCitations

Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study

Xiangjun Wu, Hui Hui, Meng Niu,

European Journal of Radiology

2020

278

Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker

Bingxi He, Di Dong, Yunlang She,

Journal for ImmunoTherapy of Cancer

2020

183

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images

Panwen Tian, Bingxi He, Wei Mu,

Theranostics

2020

143

Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study

Yunlang She, Bingxi He, Fang Wang,

EBioMedicine

2022

82

Clinical and radiographic features of cardiac injury in patients with 2019 novel coronavirus pneumonia

Hui Hui, Yingqian Zhang, Xin Yang,

2020

78

Noninvasive Prediction of High‐Grade Prostate Cancer via Biparametric MRI Radiomics

Lixin Gong, Min Xu, Mengjie Fang,

Journal of Magnetic Resonance Imaging

2020

72

CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study

Mengjie Fang, Bingxi He, Li Li,

Science China Information Sciences

2020

68

A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0

Lianzhen Zhong, Xueliang Fang, Di Dong,

Radiotherapy and Oncology

2020

57

A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomics

Bingxi He, Yongxiang Song, Lili Wang,

Translational Lung Cancer Research

2021

45

Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study

Xiangjun Wu, Di Dong, Lu Zhang,

Medical Physics

2021

42

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