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Journal of Breast Imaging|May 30, 2025
Bias in Artificial Intelligence: Impact on Breast ImagingJose M Net, Fernando Collado-MesaBreast Disease|February 8, 2021
Breast Implant-Associated Anaplastic Large Cell lymphoma: Brief overview of current data and imaging findingsFernando Collado-Mesa, Monica M Yepes, Jose M Net, et al.The Indian Journal of Radiology & Imaging|May 19, 2017
Utility of supplemental screening with breast ultrasound in asymptomatic women with dense breast tissue who are not at high risk for breast cancerGeetika A Klevos, Fernando Collado-Mesa, Jose M Net, et al.Radiology Case Reports|February 24, 2017
Primary neuroendocrine carcinoma of the breast: report of 2 cases and literature reviewFernando Collado-Mesa, Jose M Net, Geetika A Klevos, et al.Journal of Breast Imaging|February 24, 2024
Optimizing the Patient Experience for Women With Disabilities in the Breast Imaging ClinicJose M Net, Yara Z Feliciano, Victoria Podsiadlo, et al.Archives of Pathology & Laboratory Medicine|April 8, 2026
The Doctor's Doctor Is the Patient's Doctor: A Pilot Quality Improvement Study on Patient-Pathologist Consultations at a Single InstitutionKatherine Drews-Elger, Merce Jorda, Melissa Stedman, et al.Current Problems in Diagnostic Radiology|October 2, 2018
Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular SubtypeJose M Net, Gary J Whitman, Elizabteh Morris, et al.European Radiology Experimental|May 1, 2018
Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypesElizabeth J Sutton, Erich P Huang, Karen Drukker, et al.NPJ Breast Cancer|November 18, 2016
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data setHui Li, Yitan Zhu, Elizabeth S Burnside, et al.Radiology|May 5, 2016
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene AssaysHui Li, Yitan Zhu, Elizabeth S Burnside, et al.Pageof 2