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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Frederick Howard and Gregory Karczmar.
Connection Strength

0.545
  1. Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer. Magn Reson Imaging. 2023 Dec; 104:9-15.
    View in: PubMed
    Score: 0.228
  2. Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Acad Radiol. 2022 10; 29(10):1469-1479.
    View in: PubMed
    Score: 0.207
  3. External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population. Radiol Artif Intell. 2023 Nov; 5(6):e220299.
    View in: PubMed
    Score: 0.057
  4. Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. IEEE Trans Biomed Eng. 2022 11; 69(11):3334-3344.
    View in: PubMed
    Score: 0.054
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.