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This is a "connection" page, showing publications co-authored by Kirti Kulkarni and Frederick Howard.
Kirti Kulkarni
Connection Strength
0.164
Frederick Howard
  1. K-means clustering-based analysis of quantitative ultrafast DCE-MRI for predicting breast cancer response to neoadjuvant chemotherapy. J Appl Clin Med Phys. 2026 Jan; 27(1):e70439.
    View in: PubMed
    Score: 0.061
  2. 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 12; 104:9-15.
    View in: PubMed
    Score: 0.052
  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: 0.051
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.