Genetic Programming Bibliography entries for Jing Wu
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Created by W.Langdon from
Ji Whae Choi,
Aidan J McGirr,
S William Stavropoulos,
Alvin C Silva,
Michael C Soulen,
Matthew B Palmer,
Paul J L Zhang,
Sun Ho Ahn,
Harrison X Bai,
Paul J Zhang,
Raymond Y Huang,
Genetic Programming Articles by Jing Wu
Dan Li and Rong Hu and Huizhou Li and Yeyu Cai and Paul J Zhang and Jing Wu and Chengzhang Zhu and Harrison X Bai.
Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.
Abdominal radiology, 46(11):5316-5324, 2021.
Ji Whae Choi and Rong Hu and Yijun Zhao and Subhanik Purkayastha and Jing Wu and Aidan J. McGirr and S. William Stavropoulos and Alvin C. Silva and Michael C. Soulen and Matthew B. Palmer and Paul J. L. Zhang and Chengzhang Zhu and Sun Ho Ahn and Harrison X. Bai.
Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics.
Abdominal Radiology, 46(6):2656-2664, 2021.
Special Section on Ovarian Cancer.
Subhanik Purkayastha and Yijun Zhao and Jing Wu and Rong Hu and Aidan McGirr and Sukhdeep Singh and Ken Chang and Raymond Y. Huang and Paul J. Zhang and Alvin Silva and Michael C. Soulen and S. William Stavropoulos and Zishu Zhang and Harrison X. Bai.
Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm.
Scientific Reports, 10:Article number: 19503, 2020.