55 results on '"Wu, Chengyue"'
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2. Constructing a special interface structure of starch/PBAT composites with a novel “many-to-many” strategy
3. Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer
4. Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
5. Linc20486 Promotes BmCPV Replication Through Inhibiting the Transcription of AGO2 and Dicers
6. Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma
7. Designing clinical trials for patients who are not average
8. Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
9. Predicting the spatio-temporal response of recurrent glioblastoma treated with rhenium-186 labelled nanoliposomes
10. Inferring CTCF-binding patterns and anchored loops across human tissues and cell types
11. Endogenous fine-mapping of functional regulatory elements in complex genetic loci
12. Abstract 850: Patient-specific, organ-scale forecasting of prostate cancer growth in active surveillance
13. Abstract 845: Developing MRI-based digital-twins via mathematical modeling and deep learning to predict the response of triple-negative breast cancer to neoadjuvant therapy
14. Abstract 5569: Quantification of tumor-associated vasculature as an imaging biomarker for monitoring the response of triple-negative breast cancer to neoadjuvant chemotherapy
15. Supplementary Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
16. Supplementary Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
17. Efficiency Improvement Method based on Comprehensive Loss Regression Model for Doubly Salient Electromagnetic Generation System
18. An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data
19. Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics
20. Torque Ripple Suppression Strategy Based on Field Current Segment Compensation for Doubly Salient Electro-magnetic Machine
21. Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
22. MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
23. Abstract 2742: A biology-based, mathematical model to predict the response of recurrent glioblastoma to treatment with 186Re-labeled nanoliposomes
24. Abstract 2736: Forecasting treatment response to neoadjuvant therapy in triple-negative breast cancer via an image-guided digital twin
25. NTIRE 2022 Image Inpainting Challenge: Report
26. Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
27. A 1D–0D–3D coupled model for simulating blood flow and transport processes in breast tissue
28. Abstract P1-08-08: Forecasting treatment response to neoadjuvant systemic therapy in triple negative breast cancer viamathematical modeling and quantitative MRI
29. RADT-14. TOWARDS IMAGE-GUIDED MODELING OF PATIENT-SPECIFIC RHENIUM-186 NANOLIPOSOME DISTRIBUTION VIA CONVECTION-ENHANCED DELIVERY FOR GLIOBLASTOMA MULTIFORME
30. An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom
31. Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting
32. Abstract 222: Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-based fluid dynamics
33. Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data
34. Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiforme
35. The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy
36. Abstract PS3-26: Characterizing errors in perfusion model parameters derived from retrospectively abbreviated quantitative DCE-MRI data
37. Abstract PS13-18: Predicting breast cancer response to neoadjuvant therapies using a mathematical model individualized with patient-specific magnetic resonance imaging data: Preliminary Results
38. Math, magnets, and medicine: enabling personalized oncology
39. Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data
40. Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics
41. Abstract 5485: Patient-specific neoadjuvant regimens for breast cancer identified via image-driven mathematical modeling
42. Abstract 4263: Characterization of patient-specific drug delivery for breast cancer using image-guided computational fluid dynamics
43. Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge
44. Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results
45. Abstract P6-02-04: Investigating the feasibility of performing quantitative DCE-MRI in an abbreviated breast examination
46. Abstract PD9-07: The rate of parenchymal enhancement during DCE-MRI reflects response to neoadjuvant therapy
47. SCIDOT-38. DEVELOPMENT OF AN IMAGE-INFORMED MATHEMATICAL MODEL OF CONVECTION-ENHANCED DELIVERY OF NANOLIPOSOMES FOR INDIVIDUAL PATIENTS
48. Integrating quantitative imaging and computational modeling to predict the spatiotemporal distribution of 186Re nanoliposomes for recurrent glioblastoma treatment
49. Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy
50. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)
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