Co-Authors
This is a "connection" page, showing publications co-authored by Olufunmilayo Olopade and Frederick Howard.
Connection Strength
1.499
-
Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 Apr 15; 130(8):1210-1220.
Score: 0.244
-
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.
Score: 0.235
-
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.
Score: 0.233
-
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.
Score: 0.232
-
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.
Score: 0.231
-
The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
Score: 0.206
-
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.
Score: 0.059
-
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.
Score: 0.058