Alexandra Edwards

According to our database, Alexandra Edwards authored at least 15 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Influence of magnet strength on background parenchymal enhancement evaluation.

Lindsay Douglas, Trisha Mondal, Alexandra Edwards, Maryellen L. Giger

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022

Association between DCE MRI background parenchymal enhancement and mammographic texture features.

Natalie M. Baughan, Lindsay Douglas, Maya Ballard, Esther Seoyeon Lee, Alexandra Edwards, Li Lan, Hui Li, Maryellen L. Giger

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2020

Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy.

Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.

Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer.

Qiyuan Hu, Heather M. Whitney, Alexandra Edwards, John Papaioannou, Maryellen L. Giger

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.

Karen Drukker, Iman El-Bawab, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L. Giger

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths.

Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study.

Karen Drukker, Rachel Anderson, Alexandra Edwards, John Papaioannou, Fred Pineda, Hiroyuki Abe, Gregory Karzcmar, Maryellen L. Giger

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.

Heather M. Whitney, Karen Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2014

Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria.

Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards

J. Digit. Imaging, 2014

2013

Automatic 3D lesion segmentation on breast ultrasound images.

Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, Karen Drukker, Alexandra Edwards, Charlene A. Sennett

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012

Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT.

H. Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, K. Yang, Alexandra Edwards

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT.

Hsien-Chi Kuo, Maryellen L. Giger, Ingrid S. Reiser, John M. Boone, Karen K. Lindfors, Kai Yang, Alexandra Edwards

Proceedings of the Breast Imaging, 2012

2010

Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images.

Ingrid S. Reiser, S. P. Joseph, Robert M. Nishikawa, Maryellen L. Giger, John M. Boone, Karen K. Lindfors, Alexandra Edwards, Nathan J. Packard, Richard H. Moore, Daniel B. Kopans

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2005

Relevance vector machine for automatic detection of clustered microcalcifications.

Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick, Alexandra Edwards

IEEE Trans. Medical Imaging, 2005