Wen Li
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A fast automatic method of lung segmentation in CT images using mathematical morphology
W Li, SD Nie, JJ Cheng
World Congress on Medical Physics and Biomedical Engineering 2006, 2419-2422, 2007
Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial
DC Newitt, Z Zhang, JE Gibbs, SC Partridge, TL Chenevert, MA Rosen, ...
Journal of Magnetic Resonance Imaging 49 (6), 1617-1628, 2019
Effect of MR Imaging Contrast Thresholds on Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes: A Subgroup Analysis of the ACRIN 6657/I-SPY 1 TRIAL
W Li, V Arasu, DC Newitt, EF Jones, L Wilmes, J Gibbs, J Kornak, ...
Tomography 2 (4), 378-387, 2016
Variability and bias assessment in breast ADC measurement across multiple systems
KE Keenan, AP Peskin, LJ Wilmes, SO Aliu, EF Jones, W Li, J Kornak, ...
Journal of Magnetic Resonance Imaging 44 (4), 846-855, 2016
Effect of imaging parameter thresholds on MRI prediction of neoadjuvant chemotherapy response in breast cancer subtypes
WC Lo, W Li, EF Jones, DC Newitt, J Kornak, LJ Wilmes, LJ Esserman, ...
PloS one 11 (2), 2016
Automated parcellation of the brain surface generated from magnetic resonance images
W Li, NC Andreasen, P Nopoulos, VA Magnotta
Frontiers in neuroinformatics 7, 23, 2013
Comparison of displacement-based and force-based mapped meshing
VA Magnotta, W Li, NM Grosland
MIDAS journal 2008, 629, 2008
Diffusion Tensor Imaging for Assessment of Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer
LJ Wilmes, W Li, HJ Shin, DC Newitt, E Proctor, R Harnish, NM Hylton
Tomography 2 (4), 438-447, 2016
The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy
G Zaki, W Plishker, W Li, J Lee, H Quon, J Wong, R Shekhar
IEEE Journal of Translational Engineering in Health and Medicine 4, 1-11, 2016
Additive value of diffusion‐weighted MRI in the I‐SPY 2 TRIAL
W Li, DC Newitt, LJ Wilmes, EF Jones, V Arasu, J Gibbs, B La Yun, E Li, ...
Journal of Magnetic Resonance Imaging 50 (6), 1742-1753, 2019
Dedicated Breast Positron Emission Tomography for the Evaluation of Early Response to Neoadjuvant Chemotherapy in Breast Cancer
EF Jones, KM Ray, W Li, Y Seo, BL Franc, AJ Chien, LJ Esserman, ...
Clinical breast cancer 17 (3), e155-e159, 2017
The effectiveness of geometry features on multi-resolution diffeomorphic demons registration in the implementation of human cortex surface parcellation
W Li, L Ibanez, NC Andreasen, VA Magnotta
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
Abstract P6-02-01: The effect of background parenchymal enhancement on the predictive performance of functional tumor volume measured in MRI
W Li, N Onishi, DC Newitt, R Harnish, EF Jones, LJ Wilmes, J Gibbs, ...
Cancer Research 80 (4 Supplement), P6-02-01-P6-02-01, 2020
Automated parcellation on the surface of human cerebral cortex generated from MR images
W Li
University of Iowa, 2012
An automated pipeline for cortical surface generation and registration of the cerebral cortex
W Li, L Ibanez, A Gelas, BTT Yeo, M Niethammer, NC Andreasen, ...
Medical Imaging 2011: Image Processing 7962, 796229, 2011
The experimental research on the frameless registration based on the digital subtraction angiography
W Li, Y Huang, X Tian, S Nie
Shengwu yixue gongchengxue zazhi 24 (1), 23-25, 44, 2007
Abstract PD9-05: Lack of background parenchymal enhancement suppression in breast MRI during neoadjuvant chemotherapy may be associated with inferior treatment response in …
N Onishi, W Li, DC Newitt, R Harnish, J Gibbs, EF Jones, A Nguyen, ...
Cancer Research 80 (4 Supplement), PD9-05-PD9-05, 2020
Abstract PD9-04: Breast cancer subtype specific association of pCR with MRI assessed tumor volume progression during NAC in the I-SPY 2 trial
W Li, N Onishi, DC Newitt, J Gibbs, LJ Wilmes, EF Jones, BN Joe, LS Sit, ...
Cancer Research 80 (4 Supplement), PD9-04-PD9-04, 2020
Abstract PD9-06: Additive benefit of MRI background parenchymal enhancement (BPE) to an MRI tumor volume model for predicting pathologic complete response (pCR) to neoadjuvant …
VA Arasu, P Kim, W Li, F Strand, C McHargue, E Jones, D Newitt, ...
Cancer Research 80 (4 Supplement), PD9-06-PD9-06, 2020
Evaluation of talazoparib in combination with irinotecan in early stage, high-risk HER2 negative breast cancer: Results from the I-SPY 2 TRIAL
R Schwab, AS Clark, C Yau, N Hylton, W Li, D Wolfe, AJ Chien, ...
CANCER RESEARCH 79 (13), 2019
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