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A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn's disease.
Lu B, Huang Z, Lin J, Zhang R, Shen X, Huang L, Wang X, He W, Huang Q, Fang J, Mao R, Li Z, Huang B, Feng ST, Ye Z, Zhang J, Wang Y. Lu B, et al. Among authors: fang j. Abdom Radiol (NY). 2024 Jul;49(7):2187-2197. doi: 10.1007/s00261-024-04307-7. Epub 2024 May 4. Abdom Radiol (NY). 2024. PMID: 38703189
Preoperative computed tomography enterography-based radiomics signature: A potential predictor of postoperative anastomotic recurrence in patients with Crohn's disease.
Shen XD, Zhang RN, Huang SY, Wang YD, Liu RY, Meng JX, Zhou J, Chen Z, Fang JY, Mao R, Li ZP, Sun CH, Feng ST, Lin SC, Zhong YK, Li XH. Shen XD, et al. Among authors: fang jy. Eur J Radiol. 2023 May;162:110766. doi: 10.1016/j.ejrad.2023.110766. Epub 2023 Mar 10. Eur J Radiol. 2023. PMID: 36924538
CT-based radiomics signature of visceral adipose tissue and bowel lesions for identifying patients with Crohn's disease resistant to infliximab.
Wang Y, Luo Z, Zhou Z, Zhong Y, Zhang R, Shen X, Huang L, He W, Lin J, Fang J, Huang Q, Wang H, Zhang Z, Mao R, Feng ST, Li X, Huang B, Li Z, Zhang J, Chen Z. Wang Y, et al. Among authors: fang j. Insights Imaging. 2024 Jan 30;15(1):28. doi: 10.1186/s13244-023-01581-9. Insights Imaging. 2024. PMID: 38289416 Free PMC article.
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