Immediate Impact

1 from Science/Nature 28 standout
Sub-graph 1 of 14

Citing Papers

Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study
2024 Standout
Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives
2024 Standout
3 intermediate papers

Works of Ece Ateş Kuş being referenced

Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status
2019
Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning–Based Study for Predicting Histopathologic Nuclear Grade
2019
and 1 more

Author Peers

Author Last Decade Papers Cites
Ece Ateş Kuş 608 314 177 15 696
Cristiana Fanciullo 691 243 231 10 828
Lise Wei 559 202 177 22 723
Tafadzwa L. Chaunzwa 380 350 52 20 721
Guangyao Wu 525 284 173 23 718
Gretchen Hermann 529 356 194 10 669
Jay Patel 425 173 103 26 676
M Jermoumi 567 234 217 9 645
Qiuchang Sun 598 180 107 13 693
Roman Zeleznik 666 368 176 15 818
Arunabha Roy 742 332 157 13 846

All Works

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2026