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This is a "connection" page, showing publications co-authored by JINGFEI MA and KEN-PIN HWANG.
JINGFEI MA
Connection Strength
1.816
KEN-PIN HWANG
  1. 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.
    View in: PubMed
    Score: 0.235
  2. 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.
    View in: PubMed
    Score: 0.230
  3. 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).
    View in: PubMed
    Score: 0.229
  4. A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer. Radiol Imaging Cancer. 2023 07; 5(4):e230009.
    View in: PubMed
    Score: 0.225
  5. Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer. J Magn Reson Imaging. 2021 07; 54(1):251-260.
    View in: PubMed
    Score: 0.191
  6. A flexible fast spin echo triple-echo Dixon technique. Magn Reson Med. 2017 03; 77(3):1049-1057.
    View in: PubMed
    Score: 0.136
  7. Flow compensation for the fast spin echo triple-echo Dixon sequence. Magn Reson Imaging. 2011 Feb; 29(2):293-9.
    View in: PubMed
    Score: 0.093
  8. A method for automatic identification of water and fat images from a symmetrically sampled dual-echo Dixon technique. Magn Reson Imaging. 2010 Apr; 28(3):427-33.
    View in: PubMed
    Score: 0.089
  9. Linear phase-error correction for improved water and fat separation in dual-echo dixon techniques. Magn Reson Med. 2008 Nov; 60(5):1250-5.
    View in: PubMed
    Score: 0.082
  10. 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.
    View in: PubMed
    Score: 0.060
  11. 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).
    View in: PubMed
    Score: 0.055
  12. Quantitative Apparent Diffusion Coefficients From Peritumoral Regions as Early Predictors of Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. J Magn Reson Imaging. 2022 12; 56(6):1901-1909.
    View in: PubMed
    Score: 0.052
  13. Assessment of Early Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer Using Amide Proton Transfer-weighted Chemical Exchange Saturation Transfer MRI: A Pilot Study. Radiol Imaging Cancer. 2021 09; 3(5):e200155.
    View in: PubMed
    Score: 0.050
  14. Tumor necrosis by pretreatment breast MRI: association with neoadjuvant systemic therapy (NAST) response in triple-negative breast cancer (TNBC). Breast Cancer Res Treat. 2021 Jan; 185(1):1-12.
    View in: PubMed
    Score: 0.046
  15. Immunotherapy response evaluation with magnetic resonance elastography (MRE) in advanced HCC. J Immunother Cancer. 2019 11 28; 7(1):329.
    View in: PubMed
    Score: 0.044
Connection Strength

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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.