Alexandra Edwards

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 9

Top Topics

Stopping Criteria

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

J. Digit. Imaging

Publications

Lindsay Douglas, Trisha Mondal, Alexandra Edwards, Maryellen L. Giger
Influence of magnet strength on background parenchymal enhancement evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Natalie M. Baughan, Lindsay Douglas, Maya Ballard, Esther Seoyeon Lee, Alexandra Edwards, Li Lan, Hui Li, Maryellen L. Giger
Association between DCE MRI background parenchymal enhancement and mammographic texture features. Medical Imaging: Computer-Aided Diagnosis (2022)
Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2020)
Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Medical Imaging: Computer-Aided Diagnosis (2019)
Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. Medical Imaging: Computer-Aided Diagnosis (2019)
Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Medical Imaging: Computer-Aided Diagnosis (2019)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI (2018)
Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Medical Imaging: Computer-Aided Diagnosis (2018)
Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Medical Imaging: Computer-Aided Diagnosis (2018)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards
Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. J. Digit. Imaging 27 (2) (2014)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, Karen Drukker, Alexandra Edwards, Charlene A. Sennett
Automatic 3D lesion segmentation on breast ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2013)
Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards
Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. Digital Mammography / IWDM (2012)