Connection

Co-Authors

This is a "connection" page, showing publications co-authored by KELLY K HUNT and ROSALIND PITPITAN CANDELARIA.
Connection Strength

0.888
  1. Incremental Cancer Detection of Locoregional Restaging with Diagnostic Mammography Combined with Whole-Breast and Regional Nodal Ultrasound in Women with Newly Diagnosed Breast Cancer. Acad Radiol. 2017 02; 24(2):191-199.
    View in: PubMed
    Score: 0.145
  2. ASO Visual Abstract: The Prevalence of Sentinel Lymph Node Positivity and Implications for the Utility of Frozen Section Diagnosis Following Neoadjuvant Systemic Therapy in Patients with Clinically Node-Negative HER2-Positive or Triple-Negative Breast Cancer. Ann Surg Oncol. 2024 Aug 06.
    View in: PubMed
    Score: 0.062
  3. Defining Breast Cryoablation Treatment Success: A?Guide for the Curative and Palliative Treatment of Breast Cancer. Acad Radiol. 2024 Aug 05.
    View in: PubMed
    Score: 0.062
  4. The Prevalence of Sentinel Lymph Node Positivity and Implications for the Utility of Frozen Section Diagnosis Following Neoadjuvant Systemic Therapy in Patients with Clinically Node-Negative HER2-Positive or Triple-Negative Breast Cancer. Ann Surg Oncol. 2024 Jul 24.
    View in: PubMed
    Score: 0.062
  5. 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: 0.062
  6. Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy. J Magn Reson Imaging. 2024 Jan 31.
    View in: PubMed
    Score: 0.060
  7. 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: 0.059
  8. 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: 0.058
  9. Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs. Annu Int Conf IEEE Eng Med Biol Soc. 2023 07; 2023:1-4.
    View in: PubMed
    Score: 0.057
  10. 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: 0.056
  11. 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: 0.056
  12. Use of Mammographic Measurements to Predict Complications After Nipple-Sparing Mastectomy in BRCA Mutation Carriers. Ann Surg Oncol. 2020 Feb; 27(2):367-372.
    View in: PubMed
    Score: 0.044
  13. A Clinical Feasibility Trial for Identification of Exceptional Responders in Whom Breast Cancer Surgery Can Be Eliminated Following Neoadjuvant Systemic Therapy. Ann Surg. 2018 05; 267(5):946-951.
    View in: PubMed
    Score: 0.040
  14. Improved Axillary Evaluation Following Neoadjuvant Therapy for Patients With Node-Positive Breast Cancer Using Selective Evaluation of Clipped Nodes: Implementation of Targeted Axillary Dissection. J Clin Oncol. 2016 Apr 01; 34(10):1072-8.
    View in: PubMed
    Score: 0.034
  15. Role of Ultrasonography of Regional Nodal Basins in Staging Triple-Negative Breast Cancer and Implications For Local-Regional Treatment. Int J Radiat Oncol Biol Phys. 2015 Sep 01; 93(1):102-10.
    View in: PubMed
    Score: 0.033
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.