CL
Cheng Lu
Guangdong Provincial People's Hospital, Case Western Reserve University Case School of Engineering, Case Western Reserve University, University of Alberta, Northwest A&F University
Research areas: Computer Science · Artificial Intelligence · AI in cancer detection · Radiomics and Machine Learning in Medical Imaging · Medical Image Segmentation Techniques
0000-0002-7651-3924
Employment
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Guangdong Provincial People's Hospital Professor2022 - Present
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Case Western Reserve University Case School of Engineering Research Assistant Professor2019 - 2022
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Case Western Reserve University Senior research associate2018 - 2019
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Case Western Reserve University Research Associate2015 - 2018
Education
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Case Western Reserve University Postdoc2015 - Present
- 2008 - 2013
- 2000 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (158)
- Spatial-channel feature fusion transformer for multimodal tumor delineation Save
- Toward A Pre-disease State-centered New Paradigm in Multi-omics Research Save
- Achieving High-Fidelity and Consistent Super-Resolution in Pathological Images using a Novel Consistency-Restricted Diffusion Framework Save
- Data from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S1 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S2 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S3 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S4 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S5 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S6 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Figure S7 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Supplementary Tables from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology Save
- Online Teaching: Distilling Decomposed Multimodal Knowledge for Breast Cancer Biomarker Prediction Save
- MUSCLE: A New Perspective to Multi-Scale Fusion for Medical Image Classification Based on the Theory of Evidence Save
- DAFNet: A novel Dynamic Adaptive Fusion Network for medical image classification Save
- Multimodal Fusion Framework Based on Low-Rank Interaction for Tumor Prognostic Prediction Save
- MSFusion: A multi-source hybrid feature fusion network for accurate grading of invasive breast cancer using H&E-stained histopathological images Save
- Data from Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer Save
- Figure S1 from Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer Save