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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Alexander Pearson and Dezheng Huo.
Connection Strength

1.450
  1. Histology-Derived Signatures Predict Recurrence Risk and Chemotherapy Benefit in Randomized Trials of Early Breast Cancer. medRxiv. 2026 May 05.
    View in: PubMed
    Score: 0.243
  2. Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer. medRxiv. 2025 Aug 27.
    View in: PubMed
    Score: 0.232
  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: 0.200
  4. 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: 0.197
  5. 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: 0.174
  6. Accessible Clinical Tool for Prognosis and Chemotherapy Prediction in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer in Diverse and Low-Resource Settings. JCO Glob Oncol. 2026 May; 12(5):e2500705.
    View in: PubMed
    Score: 0.061
  7. Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer Recurrence. medRxiv. 2026 May 12.
    View in: PubMed
    Score: 0.061
  8. Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images. NPJ Breast Cancer. 2026 May 11; 12(1).
    View in: PubMed
    Score: 0.061
  9. Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study. Lancet Oncol. 2026 Apr; 27(4):512-526.
    View in: PubMed
    Score: 0.060
  10. Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit. medRxiv. 2025 May 16.
    View in: PubMed
    Score: 0.057
  11. Development and validation of a clinical breast cancer tool for accurate prediction of recurrence. NPJ Breast Cancer. 2024 Jun 15; 10(1):46.
    View in: PubMed
    Score: 0.053
  12. Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 04 15; 130(8):1210-1220.
    View in: PubMed
    Score: 0.052
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.