Lin Lü - Concepedia

Author

Lin Lü

Columbia University Irving Medical Center ORCID

Also Known As

L. Lin, L. Lu, L.W. Lin, Lin Lu, Lin Lü, Lu Lin, Lu, L., Lü, Lin, Ming Wang

142

Publications

Citations

H-Index

118

Concepts

All Affiliations

Columbia University Irving Medical Center Shanghai Jiao Tong University Shanghai University Shanghai Institutes for Biological Sciences Chinese Academy of Sciences

About

Lin Lü is an author at Columbia University Irving Medical Center specializing in engineering, medicine, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	23	1.3K
2	Medicine	17	21	894
3	Natural Sciences	7	7	179
4	Health Sciences	5	5	218
5	Business	2	2	312

Lin Lü

Publications

3.8K

Citations

H-Index

Page 1

	Year	Citations
Reproducibility of radiomics for deciphering tumor phenotype with imaging Binsheng Zhao, Yongqiang Tan, Wei‐Yann Tsai, Scientific Reports	2016	502
Predicting short-term stock prices using ensemble methods and online data sources Bin Weng, Lin Lü, Xing Wang, Expert Systems with Applications Online Data SourcesEngineeringAsset PricingFinanceData Mining	2018	271
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules Fatima‐Zohra Mokrane, Lin Lü, Adrien Vavasseur, European Radiology EngineeringHepatologyMedical ImagingMachine LearningHepatobiliary Tumor	2019	181
Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics Laurent Dercle, Matthew Fronheiser, Lin Lü, Clinical Cancer Research	2020	175
Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings Lin Lü, Ross Ehmke, Lawrence H. Schwartz, PLoS ONE	2016	166
Radiomics Response Signature for Identification of Metastatic Colorectal Cancer Sensitive to Therapies Targeting EGFR Pathway Laurent Dercle, Lin Lü, Lawrence H. Schwartz, JNCI Journal of the National Cancer Institute	2020	145
Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study Binsheng Zhao, Yongqiang Tan, Wei Yann Tsai, Translational Oncology	2014	136
Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features Jayashree Kalpathy–Cramer, Artem Mamomov, Binsheng Zhao, Tomography EngineeringQuantitative Imaging FeaturesDiagnosisDiagnostic ImagingMulti-institutional Study	2016	125
Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography E Linning, Lin Lü, Li Li, Academic Radiology EngineeringMedical ImagingMedicineMultiple Pulmonary NoduleHistopathology	2018	98
Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging Lin Lü, Laurent Dercle, Binsheng Zhao, Nature Communications	2021	96

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