Connection

Co-Authors

This is a "connection" page, showing publications co-authored by GAIANE MARGISHVILI RAUCH and PENG WEI.
Connection Strength

1.701
  1. 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: 0.244
  2. 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: 0.227
  3. 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: 0.221
  4. 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: 0.209
  5. A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer. Eur J Radiol. 2022 Apr; 149:110220.
    View in: PubMed
    Score: 0.206
  6. Early ultrasound evaluation identifies excellent responders to neoadjuvant systemic therapy among patients with triple-negative breast cancer. Cancer. 2021 08 15; 127(16):2880-2887.
    View in: PubMed
    Score: 0.195
  7. 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: 0.187
  8. 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: 0.058
  9. 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.
    View in: PubMed
    Score: 0.055
  10. 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
  11. 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: 0.048
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

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