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Connection

Co-Authors

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

3.935
  1. Classification of Breast Cancer According to ERBB2 Immunohistochemistry Scores-Reply. JAMA Oncol. 2023 09 01; 9(9):1299-1300.
    View in: PubMed
    Score: 0.921
  2. Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach. Breast Cancer Res. 2024 Oct 29; 26(1):148.
    View in: PubMed
    Score: 0.249
  3. ASO Author Reflections: Breast-Conserving Surgery After Neoadjuvant Systemic Therapy for Early-Stage Breast Cancer: Quantitative Biomarkers and Disparities in the Precision-Medicine Era. Ann Surg Oncol. 2024 Sep 23.
    View in: PubMed
    Score: 0.248
  4. Quantitative Biomarkers, Genomic Assays, and Demographics Associated with Breast-Conserving Surgery Following Neoadjuvant Therapy in Early-Stage, Hormone Receptor-Positive, HER-Negative Breast Cancer. Ann Surg Oncol. 2024 Sep 09.
    View in: PubMed
    Score: 0.247
  5. Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study. JMIR Cancer. 2024 Jul 18; 10:e55438.
    View in: PubMed
    Score: 0.245
  6. 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: 0.243
  7. Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 Apr 15; 130(8):1210-1220.
    View in: PubMed
    Score: 0.235
  8. 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: 0.229
  9. Evaluation of multigene assays as predictors for response to neoadjuvant chemotherapy in early-stage breast cancer patients. NPJ Breast Cancer. 2023 May 06; 9(1):33.
    View in: PubMed
    Score: 0.225
  10. 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: 0.224
  11. Clinicopathologic Characteristics and Prognosis of ERBB2-Low Breast Cancer Among Patients in the National Cancer Database. JAMA Oncol. 2023 04 01; 9(4):500-510.
    View in: PubMed
    Score: 0.224
  12. Response to Treatment, Racial and Ethnic Disparity, and Survival in Patients With Breast Cancer Undergoing Neoadjuvant Chemotherapy in the US. JAMA Netw Open. 2023 03 01; 6(3):e235834.
    View in: PubMed
    Score: 0.222
  13. 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
  14. Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations. Breast Cancer Res. 2023 05 25; 25(1):58.
    View in: PubMed
    Score: 0.056
  15. The impact of race and age on response to neoadjuvant therapy and long-term outcomes in Black and White women with early-stage breast cancer. Breast Cancer Res Treat. 2023 Jul; 200(1):75-83.
    View in: PubMed
    Score: 0.056
  16. The Impact of Race and Age on Response to Neoadjuvant Therapy and Long-Term Outcomes in Black and White Women with Early-Stage Breast Cancer. Res Sq. 2023 Mar 16.
    View in: PubMed
    Score: 0.056
  17. Racial Disparities in Pathological Complete Response Among Patients Receiving Neoadjuvant Chemotherapy for Early-Stage Breast Cancer. JAMA Netw Open. 2023 03 01; 6(3):e233329.
    View in: PubMed
    Score: 0.056
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.