Co-Authors
This is a "connection" page, showing publications co-authored by JENNIFER LITTON and Zhan Xu.
Connection Strength
0.518
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Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer. Cancers (Basel). 2023 Oct 02; 15(19).
Score: 0.231
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Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Sci Rep. 2024 07 12; 14(1):16073.
Score: 0.061
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Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy. J Magn Reson Imaging. 2024 Oct; 60(4):1367-1376.
Score: 0.059
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Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Front Oncol. 2023; 13:1264259.
Score: 0.058
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Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI. Cancers (Basel). 2023 Feb 06; 15(4).
Score: 0.055
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Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI. Sci Rep. 2023 01 20; 13(1):1171.
Score: 0.055