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Alexandra Edwards
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2020 – today
- 2023
- [c13]Lindsay Douglas, Trisha Mondal
, Alexandra Edwards, Maryellen L. Giger:
Influence of magnet strength on background parenchymal enhancement evaluation. Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [c12]Natalie M. Baughan, Lindsay Douglas
Association between DCE MRI background parenchymal enhancement and mammographic texture features. Computer-Aided Diagnosis 2022 - 2020
- [c11]Karen Drukker
Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c10]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. Computer-Aided Diagnosis 2019: 109501A - [c9]Karen Drukker
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Computer-Aided Diagnosis 2019: 109502N - [c8]Qiyuan Hu
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. Computer-Aided Diagnosis 2019: 109504A - 2018
- [c7]Heather M. Whitney, Karen Drukker
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. IWBI 2018: 107180H - [c6]Heather M. Whitney
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. Computer-Aided Diagnosis 2018: 105750A - [c5]Karen Drukker
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study. Computer-Aided Diagnosis 2018: 105753U - 2014
- [j2]Hsien-Chi Kuo, Maryellen L. Giger
Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. J. Digit. Imaging 27(2): 237-247 (2014) - 2013
- [c4]Hsien-Chi Kuo, Maryellen L. Giger
Automatic 3D lesion segmentation on breast ultrasound images. Computer-Aided Diagnosis 2013: 867025 - 2012
- [c3]Hsien-Chi Kuo, Maryellen L. Giger
Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT. Digital Mammography / IWDM 2012: 697-704 - [c2]H. Kuo, Maryellen L. Giger
Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT. Computer-Aided Diagnosis 2012: 83152C - 2010
- [c1]Ingrid S. Reiser, S. P. Joseph, Robert M. Nishikawa
Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. Computer-Aided Diagnosis 2010: 76242N
2000 – 2009
- 2005
- [j1]Liyang Wei, Yongyi Yang, Robert M. Nishikawa
Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Trans. Medical Imaging 24(10): 1278-1285 (2005)
Coauthor Index
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