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Connection

Co-Authors

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

0.952
  1. Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 2024 Mar 27; 25(1):134.
    View in: PubMed
    Score: 0.240
  2. Deep learning generates synthetic cancer histology for explainability and education. NPJ Precis Oncol. 2023 May 29; 7(1):49.
    View in: PubMed
    Score: 0.226
  3. Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. NPJ Breast Cancer. 2023 Apr 14; 9(1):25.
    View in: PubMed
    Score: 0.225
  4. The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
    View in: PubMed
    Score: 0.199
  5. Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 2024 Sep; 107:105276.
    View in: PubMed
    Score: 0.062
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.