A citation-based method for searching scientific literature

Burak Kocak, Emine Sebnem Durmaz, Ece Ates, Melis Baykara Ulusan. AJR Am J Roentgenol 2019
Times Cited: 57



Zhan Feng, Qijun Shen, Ying Li, Zhengyu Hu. Cancer Imaging 2019
Times Cited: 35




List of shared articles



Times cited

Radiomics of Renal Masses: Systematic Review of Reproducibility and Validation Strategies.
Burak Kocak, Emine Sebnem Durmaz, Cagri Erdim, Ece Ates, Ozlem Korkmaz Kaya, Ozgur Kilickesmez. AJR Am J Roentgenol 2020
30

Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT.
Nicola Schieda, Kathleen Nguyen, Rebecca E Thornhill, Matthew D F McInnes, Mark Wu, Nick James. Abdom Radiol (NY) 2020
3


Identifying BAP1 Mutations in Clear-Cell Renal Cell Carcinoma by CT Radiomics: Preliminary Findings.
Zhan Feng, Lixia Zhang, Zhong Qi, Qijun Shen, Zhengyu Hu, Feng Chen. Front Oncol 2020
14

Assessment of Renal Cell Carcinoma by Texture Analysis in Clinical Practice: A Six-Site, Six-Platform Analysis of Reliability.
Ankur M Doshi, Angela Tong, Matthew S Davenport, Ahmed M Khalaf, Rafah Mresh, Henry Rusinek, Nicola Schieda, Atul B Shinagare, Andrew D Smith, Rebecca Thornhill,[...]. AJR Am J Roentgenol 2021
4

Effect of phase of enhancement on texture analysis in renal masses evaluated with non-contrast-enhanced, corticomedullary, and nephrographic phase-enhanced CT images.
Kathleen Nguyen, Nicola Schieda, Nick James, Matthew D F McInnes, Mark Wu, Rebecca E Thornhill. Eur Radiol 2021
4

Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
Jun Shu, Didi Wen, Yibin Xi, Yuwei Xia, Zhengting Cai, Wanni Xu, Xiaoli Meng, Bao Liu, Hong Yin. Eur J Radiol 2019
38