Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies, Paul E. Kinahan, Hedvig Hricak · Radiology · 2015 · 8.3K citations

Medicine, Bioinformatics, Biomedical Informatics +17

ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Haibo He, Yang Bai, Edwardo A. Garcia et al. · 2008 · 4.4K citations

Computing, Computer Science, Data Mining +16

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

Nathaniel Braman, Maryam Etesami, Prateek Prasanna et al. · Breast Cancer Research · 2017 · 632 citations · Full text

Medicine, Oncology, Radiology +17

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

Hui Li, Yitan Zhu, Elizabeth S. Burnside et al. · Radiology · 2016 · 468 citations · Full text

Medicine, Oncology, Radiology +17

Tumor microvessel density, p53 expression, tumor size, and peritumoral lymphatic vessel invasion are relevant prognostic markers in node-negative breast carcinoma.

Giampietro Gasparini, Noel Weidner, Pierantonio Bevilacqua et al. · Journal of Clinical Oncology · 1994 · 468 citations

Medicine, Oncology, Pathology +14