Shekoofeh Azizi

7.2k total citations · 2 hit papers
25 papers, 876 citations indexed

About

Shekoofeh Azizi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shekoofeh Azizi has authored 25 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shekoofeh Azizi's work include AI in cancer detection (9 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Image and Signal Denoising Methods (4 papers). Shekoofeh Azizi is often cited by papers focused on AI in cancer detection (9 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Image and Signal Denoising Methods (4 papers). Shekoofeh Azizi collaborates with scholars based in United States, Canada and South Korea. Shekoofeh Azizi's co-authors include Daesik Jang, Qiang Tang, Zhan Xu, Zili Yi, Fiona Ryan, Ting Chen, Basil Mustafa, Mohammad Norouzi, Aaron Loh and Alan Karthikesalingam and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Shekoofeh Azizi

24 papers receiving 849 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Big Self-Supervised Models Advance Medical Image Classification

2021 336 citations Shekoofeh Azizi, Alan Karthikesalingam et al. profile →
Generative models improve fairness of medical classifiers under distribution shifts

2024 55 citations Sofia Ira Ktena, Olivia Wiles et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shekoofeh Azizi United States	10	362	350	333	103	97	25	876
Senthil Periaswamy United States	13	351 1.0×	240 0.7×	348 1.0×	248 2.4×	100 1.0×	29	834
Jintai Chen China	14	310 0.9×	267 0.8×	165 0.5×	45 0.4×	80 0.8×	38	701
Roger Trullo United States	6	460 1.3×	264 0.8×	531 1.6×	83 0.8×	201 2.1×	11	976
Wenjian Qin China	17	330 0.9×	372 1.1×	562 1.7×	124 1.2×	212 2.2×	70	1.0k
Stefanie Demirci Germany	12	268 0.7×	347 1.0×	268 0.8×	106 1.0×	129 1.3×	22	718
Jixiang Guo China	17	258 0.7×	235 0.7×	534 1.6×	242 2.3×	164 1.7×	72	999
Basil Mustafa Switzerland	5	346 1.0×	393 1.1×	247 0.7×	33 0.3×	50 0.5×	6	810
Amirhossein Kazerouni Iran	7	419 1.2×	302 0.9×	351 1.1×	41 0.4×	133 1.4×	12	912
Zhoubing Xu United States	15	402 1.1×	221 0.6×	627 1.9×	151 1.5×	220 2.3×	37	976
Samir S. Yadav India	7	212 0.6×	330 0.9×	345 1.0×	44 0.4×	101 1.0×	11	822

Countries citing papers authored by Shekoofeh Azizi

Since Specialization

Citations

This map shows the geographic impact of Shekoofeh Azizi'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 Shekoofeh Azizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shekoofeh Azizi more than expected).

Fields of papers citing papers by Shekoofeh Azizi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shekoofeh Azizi. 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 Shekoofeh Azizi. The network helps show where Shekoofeh Azizi may publish in the future.

Co-authorship network of co-authors of Shekoofeh Azizi

This figure shows the co-authorship network connecting the top 25 collaborators of Shekoofeh Azizi. A scholar is included among the top collaborators of Shekoofeh Azizi 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 Shekoofeh Azizi. Shekoofeh Azizi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Azizi, Shekoofeh, et al.. (2026). Artificial intelligence agents in cancer research and oncology. Nature reviews. Cancer.

Karschnia, Philipp, Eugene Vaios, Michelle M. Kim, et al.. (2025). Value of artificial intelligence in neuro-oncology. The Lancet Digital Health. 7(9). 100876–100876. 1 indexed citations

Ktena, Sofia Ira, Olivia Wiles, Sylvestre-Alvise Rebuffi, et al.. (2024). Generative models improve fairness of medical classifiers under distribution shifts. Nature Medicine. 30(4). 1166–1173. 55 indexed citations breakdown →

Weng, Wei‐Hung, Atilla P. Kiraly, Alexander D’Amour, et al.. (2024). An intentional approach to managing bias in general purpose embedding models. The Lancet Digital Health. 6(2). e126–e130. 6 indexed citations

Krogue, Justin D., Shekoofeh Azizi, Fraser Elisabeth Tan, et al.. (2023). Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. SHILAP Revista de lepidopterología. 3(1). 59–59. 12 indexed citations

Rezaei, Mina, et al.. (2023). Deep Bregman divergence for self-supervised representations learning. Computer Vision and Image Understanding. 235. 103801–103801. 1 indexed citations

Yi, Zili, Qiang Tang, Shekoofeh Azizi, Daesik Jang, & Zhan Xu. (2020). Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. 7505–7514. 238 indexed citations

Sedghi, Alireza, Mehran Pesteie, Shekoofeh Azizi, et al.. (2019). Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. International Journal of Computer Assisted Radiology and Surgery. 14(6). 1009–1016. 14 indexed citations

Azizi, Shekoofeh, Ming Li, Sheng Xu, et al.. (2018). Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. International Journal of Computer Assisted Radiology and Surgery. 13(8). 1201–1209. 9 indexed citations

10.

Sedghi, Alireza, et al.. (2018). Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier. PubMed. 24. 160–171. 3 indexed citations

11.

Azizi, Shekoofeh, Pingkun Yan, Amir Tahmasebi, et al.. (2018). Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Transactions on Medical Imaging. 37(12). 2695–2703. 64 indexed citations

12.

Azizi, Shekoofeh, Parvin Mousavi, Pingkun Yan, et al.. (2017). Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. International Journal of Computer Assisted Radiology and Surgery. 12(7). 1111–1121. 23 indexed citations

13.

Azizi, Shekoofeh, Mohammad I. Daoud, Guy Nir, et al.. (2017). Investigation of Physical Phenomena Underlying Temporal-Enhanced Ultrasound as a New Diagnostic Imaging Technique: Theory and Simulations. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(3). 400–410. 16 indexed citations

14.

Azizi, Shekoofeh, Pingkun Yan, Amir Tahmasebi, et al.. (2017). Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. International Journal of Computer Assisted Radiology and Surgery. 12(8). 1293–1305. 36 indexed citations

15.

Azizi, Shekoofeh, Farhad Imani, Amir Tahmasebi, et al.. (2016). Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. International Journal of Computer Assisted Radiology and Surgery. 11(6). 947–956. 34 indexed citations

16.

Karimi, Nader, et al.. (2014). Stereo image watermarking method based on binocular just noticeable difference. 33–38. 4 indexed citations

17.

Azizi, Shekoofeh, et al.. (2013). Hybrid image watermarking using local complexity variations. 1–6. 5 indexed citations

18.

Azizi, Shekoofeh, et al.. (2013). Transparent watermarking based on psychovisual properties using neural networks. 1. 33–37. 2 indexed citations

19.

Azizi, Shekoofeh, et al.. (2002). Reproducing kernel structure and sampling on time-warped spaces with application to warped wavelets. IEEE Transactions on Information Theory. 48(3). 789–790. 6 indexed citations

20.

Azizi, Shekoofeh & D. Cochran. (1999). Reproducing kernel structure and sampling on time-warped Kramer spaces. 1649–1652 vol.3. 1 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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