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Chengyue  Wu
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Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors
C Wu, F Pineda, DA Hormuth, GS Karczmar, TE Yankeelov
Magnetic resonance in medicine 81 (3), 2147-2160, 2019
622019
Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting
AG Sorace, C Wu, SL Barnes, AM Jarrett, S Avery, D Patt, B Goodgame, ...
Journal of Magnetic Resonance Imaging 48 (3), 695-707, 2018
532018
Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data
AM Jarrett, DA Hormuth II, C Wu, AS Kazerouni, DA Ekrut, J Virostko, ...
Neoplasia 22 (12), 820-830, 2020
442020
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data
DA Hormuth, CM Phillips, C Wu, EABF Lima, G Lorenzo, PK Jha, ...
Cancers 13 (12), 3008, 2021
372021
Evaluating multisite rCBV consistency from DSC-MRI imaging protocols and postprocessing software across the NCI Quantitative Imaging Network sites using a digital reference …
LC Bell, N Semmineh, H An, C Eldeniz, R Wahl, KM Schmainda, MA Prah, ...
Tomography 5 (1), 110-117, 2019
332019
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
C Wu, G Lorenzo, DA Hormuth, EABF Lima, KP Slavkova, JC DiCarlo, ...
Biophysics Reviews 3 (2), 021304, 2022
302022
Patient-specific characterization of breast cancer hemodynamics using image-guided computational fluid dynamics
C Wu, DA Hormuth, TA Oliver, F Pineda, G Lorenzo, GS Karczmar, ...
IEEE transactions on medical imaging 39 (9), 2760-2771, 2020
282020
MRI-based digital models forecast patient-specific treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer
C Wu, AM Jarrett, Z Zhou, N Elshafeey, BE Adrada, RP Candelaria, ...
Cancer Research 82 (18), 3394-3404, 2022
252022
Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting
AM Jarrett, AS Kazerouni, C Wu, J Virostko, AG Sorace, JC DiCarlo, ...
Nature protocols 16 (11), 5309-5338, 2021
242021
Math, magnets, and medicine: enabling personalized oncology
DA Hormuth, AM Jarrett, G Lorenzo, EABF Lima, C Wu, C Chung, D Patt, ...
Expert Review of Precision Medicine and Drug Development 6 (2), 79-81, 2021
192021
Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-guided fluid dynamics
C Wu, DA Hormuth, G Lorenzo, AM Jarrett, F Pineda, FM Howard, ...
IEEE Transactions on Biomedical Engineering 69 (11), 3334-3344, 2022
142022
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 …
LC Bell, N Semmineh, H An, C Eldeniz, R Wahl, KM Schmainda, MA Prah, ...
Tomography 6 (2), 203-208, 2020
122020
Magnetization transfer MRI of breast cancer in the community setting: reproducibility and preliminary results in neoadjuvant therapy
J Virostko, AG Sorace, C Wu, D Ekrut, AM Jarrett, RM Upadhyaya, S Avery, ...
Tomography 5 (1), 44-52, 2019
112019
Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiforme
RT Woodall, DA Hormuth II, C Wu, MRA Abdelmalik, WT Phillips, A Bao, ...
Biomedical Physics & Engineering Express 7 (4), 045012, 2021
102021
A 1D–0D–3D coupled model for simulating blood flow and transport processes in breast tissue
M Fritz, T Köppl, JT Oden, A Wagner, B Wohlmuth, C Wu
International Journal for Numerical Methods in Biomedical Engineering 38 (7 …, 2022
92022
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
A Chaudhuri, G Pash, DA Hormuth, G Lorenzo, M Kapteyn, C Wu, ...
Frontiers in Artificial Intelligence 6, 2023
72023
Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging …
AM Jarrett, DA Hormuth, C Wu, J Virostko, AG Sorace, JC DiCarlo, D Patt, ...
Cancer Research 80 (4_Supplement), P2-16-17-P2-16-17, 2020
62020
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom
C Wu, DA Hormuth II, T Easley, V Eijkhout, F Pineda, GS Karczmar, ...
Medical image analysis 73, 102186, 2021
42021
An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data
KP Slavkova, JC DiCarlo, V Wadhwa, S Kumar, C Wu, J Virostko, ...
Magnetic Resonance in Medicine 89 (4), 1617-1633, 2023
32023
A new approach to quantitative measurement of breast tumor blood flow, capillary permeability, and interstitial pressure
TO Easley, F Pineda, B Kim, R Foygel-Barber, C Wu, TE Yankeelov, ...
May2019, ISMRM 27th annual meeting, Montreal, QC, Canada.[Google Scholar], 2019
32019
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