Concepedia

Author

Qian Li

Tianjin Medical University Cancer Institute and HospitalORCID

Also Known As

Feng Che, Q Li, Q. Li, Qian Li

46

Publications

1.3K

Citations

14

H-Index

28

Concepts

All Affiliations

Tianjin Medical University Cancer Institute and HospitalMoffitt Cancer CenterSecond Affiliated Hospital of Zhejiang UniversityUniversity of South FloridaHarvard University
QL

About

Qian Li is an author at Tianjin Medical University Cancer Institute and Hospital specializing in medical imaging, medical image computing, and radiology.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

3

3

383

2

Medicine

3

3

138

3

Health Sciences

2

2

343

4

Computer Science

1

1

31

5

Data Science

1

1

31

Qian Li

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17

Publications

1.2K

Citations

14

H-Index

YearCitations

Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas

Ying Liu, Jongphil Kim, Yoganand Balagurunathan,

Clinical Lung Cancer

2016

320

Predicting Malignant Nodules from Screening CT Scans

Samuel Hawkins, Hua Wang, Ying Liu,

Journal of Thoracic Oncology

2016

294

Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer

Stephen Yip, Ying Liu, Chintan Parmar,

Scientific Reports

2017

117

CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy

Qian Li, Jongphil Kim, Yoganand Balagurunathan,

Radiation Oncology

2017

79

Imaging features from pretreatment <scp>CT</scp> scans are associated with clinical outcomes in nonsmall‐cell lung cancer patients treated with stereotactic body radiotherapy

Qian Li, Jongphil Kim, Yoganand Balagurunathan,

Medical Physics

2017

63

Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers

Fei Dong, Qian Li, Biao Jiang,

European Radiology

2020

58

Differentiation between pilocytic astrocytoma and glioblastoma: a decision tree model using contrast-enhanced magnetic resonance imaging-derived quantitative radiomic features

Fei Dong, Qian Li, Duo Xu,

European Radiology

2018

49

Tumor heterogeneity assessed by texture analysis on contrast-enhanced CT in lung adenocarcinoma: association with pathologic grade

Ying Liu, Shichang Liu, Fangyuan Qu,

Oncotarget

2017

37

Radiomic analysis of pulmonary ground-glass opacity nodules for distinction of preinvasive lesions, invasive pulmonary adenocarcinoma and minimally invasive adenocarcinoma based on quantitative texture analysis of CT

Wei Li, Xuexiang Wang, Yuwei Zhang,

Chinese Journal of Cancer Research

2018

35

Delta radiomic features improve prediction for lung cancer incidence: A nested case–control analysis of the National Lung Screening Trial

Dmitry Cherezov, Samuel Hawkins, Dmitry B. Goldgof,

Cancer Medicine

2018

34

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