Alexandra Edwards

1.1k total citations
33 papers, 797 citations indexed

About

Alexandra Edwards is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alexandra Edwards has authored 33 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alexandra Edwards's work include Radiomics and Machine Learning in Medical Imaging (23 papers), MRI in cancer diagnosis (22 papers) and Medical Imaging Techniques and Applications (16 papers). Alexandra Edwards is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (23 papers), MRI in cancer diagnosis (22 papers) and Medical Imaging Techniques and Applications (16 papers). Alexandra Edwards collaborates with scholars based in United States, China and United Kingdom. Alexandra Edwards's co-authors include John Papaioannou, Maryellen L. Giger, Yulei Jiang, Robert M. Nishikawa, Karen Drukker, Gillian M. Newstead, Yongyi Yang, Liyang Wei, Miles N. Wernick and Marc Inciardi and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and American Journal of Roentgenology.

In The Last Decade

Alexandra Edwards

32 papers receiving 781 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexandra Edwards United States 15 533 484 226 95 94 33 797
John Papaioannou United States 16 446 0.8× 505 1.0× 223 1.0× 117 1.2× 119 1.3× 40 690
Katharina Holland Netherlands 8 431 0.8× 534 1.1× 354 1.6× 86 0.9× 197 2.1× 10 794
Michael Z. Liu United States 19 640 1.2× 427 0.9× 151 0.7× 37 0.4× 82 0.9× 44 991
Vittorio Didonna Italy 17 520 1.0× 419 0.9× 138 0.6× 38 0.4× 89 0.9× 33 726
Pasquale Tamborra Italy 16 486 0.9× 392 0.8× 120 0.5× 37 0.4× 95 1.0× 29 682
Bas H. M. van der Velden Netherlands 11 501 0.9× 438 0.9× 104 0.5× 94 1.0× 64 0.7× 27 972
Alexi Baidoshvili Netherlands 15 346 0.6× 492 1.0× 89 0.4× 193 2.0× 149 1.6× 22 920
Fahdi Kanavati Japan 11 504 0.9× 500 1.0× 168 0.7× 122 1.3× 218 2.3× 20 794
Thomas de Bel Netherlands 10 459 0.9× 641 1.3× 245 1.1× 231 2.4× 159 1.7× 16 1.0k
Jeffrey W. Hoffmeister United States 13 350 0.7× 506 1.0× 263 1.2× 142 1.5× 180 1.9× 22 708

Countries citing papers authored by Alexandra Edwards

Since Specialization
Citations

This map shows the geographic impact of Alexandra Edwards's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexandra Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Edwards more than expected).

Fields of papers citing papers by Alexandra Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra Edwards. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexandra Edwards. The network helps show where Alexandra Edwards may publish in the future.

Co-authorship network of co-authors of Alexandra Edwards

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Edwards. A scholar is included among the top collaborators of Alexandra Edwards based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexandra Edwards. Alexandra Edwards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hovanessian‐Larsen, Linda, et al.. (2024). Comparison of Mammography and Mammography with Supplemental Whole-Breast US Tomography for Cancer Detection in Patients with Dense Breasts. Radiology. 311(3). e231680–e231680. 1 indexed citations
2.
Drukker, Karen, et al.. (2023). U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging. Journal of Medical Imaging. 10(6). 64502–64502. 1 indexed citations
3.
Whitney, Heather M., Karen Drukker, Alexandra Edwards, et al.. (2021). Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magnetic Resonance Imaging. 82. 111–121. 2 indexed citations
4.
Jiang, Yulei, Alexandra Edwards, & Gillian M. Newstead. (2020). Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. Radiology. 298(1). 38–46. 93 indexed citations
5.
Drukker, Karen, Alexandra Edwards, John Papaioannou, & Maryellen L. Giger. (2020). Long short-term memory networks predict breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy. 7 indexed citations
6.
Ji, Yu, Hui Li, Alexandra Edwards, et al.. (2019). Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution. Cancer Imaging. 19(1). 64–64. 41 indexed citations
7.
Yeh, Albert C., Hui Li, Yitan Zhu, et al.. (2019). Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 19(1). 48–48. 62 indexed citations
8.
Drukker, Karen, Alexandra Edwards, Chris Doyle, et al.. (2019). Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. 18. 95–95. 14 indexed citations
9.
Hu, Qiyuan, Heather M. Whitney, Maryellen L. Giger, Alexandra Edwards, & John Papaioannou. (2019). Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer. 161–161. 5 indexed citations
10.
Whitney, Heather M., Karen Drukker, Alexandra Edwards, John Papaioannou, & Maryellen L. Giger. (2018). Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths. 9–9. 6 indexed citations
11.
12.
Whitney, Heather M., Nathan S. Taylor, Karen Drukker, et al.. (2018). Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Academic Radiology. 26(2). 202–209. 45 indexed citations
13.
Whitney, Heather M., Karen Drukker, Alexandra Edwards, John Papaioannou, & Maryellen L. Giger. (2018). Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. 2. 62–62. 3 indexed citations
14.
Berthon, Béatrice, Christopher Marshall, Alexandra Edwards, Mark D. Evans, & Emiliano Spezi. (2013). Influence of cold walls on PET image quantification and volume segmentation: A phantom study. Medical Physics. 40(8). 82505–82505. 33 indexed citations
15.
Reiser, Ingrid, Alexandra Edwards, & Robert M. Nishikawa. (2013). Validation of a power-law noise model for simulating small-scale breast tissue. Physics in Medicine and Biology. 58(17). 6011–6027. 17 indexed citations
16.
Giger, Maryellen L., Ingrid Reiser, John M. Boone, et al.. (2013). Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria. Journal of Digital Imaging. 27(2). 237–247. 19 indexed citations
17.
Giger, Maryellen L., et al.. (2013). Automatic 3D lesion segmentation on breast ultrasound images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 867025–867025. 4 indexed citations
18.
Reiser, Ingrid, Robert M. Nishikawa, Alexandra Edwards, et al.. (2008). Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: A preliminary study. Medical Physics. 35(4). 1486–1493. 43 indexed citations
19.
Nishikawa, Robert M., Alexandra Edwards, Robert A. Schmidt, John Papaioannou, & Michael N. Linver. (2006). Can radiologists recognize that a computer has identified cancers that they have overlooked?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6146. 614601–614601. 9 indexed citations
20.
Wei, Liyang, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick, & Alexandra Edwards. (2005). Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Transactions on Medical Imaging. 24(10). 1278–1285. 109 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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