1. 國自然面上項目:基于多時序CT影像與病理WSI智能預測局部進展期胃癌新輔助化療療效的研究,(編號:82371952,起止年限:2024-01至2027-12,資助額度:50萬元) 2. 國自然青年項目:基于多參數(shù)MRI影像組學早期精準預測直腸癌放化療抵抗及預后研究(編號:82001789;起止年限:2021-01至2023-12 資助額度:24萬元) 3. 山西省科技創(chuàng)新人才團隊項目:胃腸道腫瘤醫(yī)學影像人工智能青年人才團隊(編號:202304051001047;起止年限:2023-08至2026-08資助額度:100萬元) 4. 山西省科技廳基礎研究計劃(自由探索類)優(yōu)秀青年培育項目:基于CT深度影像組學監(jiān)測結直腸癌免疫微環(huán)境及預后的研究(項目編號:202103021222014,起止年限:2022-01至2024-12,資助額度:25萬元) 5. Yanfen Cui# (崔艷芬), Ke Zhao#, Xiaochun Meng#, Yun Mao#, et al. A CT-based multitask deep learning model for predicting tumor stroma ratio and treatment outcomes in patients with colorectal cancer: a multicenter cohort study. International Journal of Surgery. Accept(2024 IF=15.3) 6. Cui Y#(崔艷芬), Zhang J#, Li Zh#, et al. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: a multicenter cohort study. EclinicalMedicine. 2022, 46: 101348. (2021 IF=17.033) 7. Wei Xia#, Dandan Li#, Wenguang He, Perry J. Pickhardt, Junming Jian, Rui Zhang, Junjie Zhang, Ruirui Song, Tong Tong, Xiaotang Yang, Xin Gao, Yanfen Cui* (崔艷芬).Multicenter evaluation of a weakly supervised deep learning model for lymph node diagnosis in rectal cancer on MRI. Radiology: Artificial Intelligence. Accepted(2024 IF=9.8) 8. 科技獎勵:山西省科技進步二等獎1項 9. 學術任職:中華醫(yī)學會放射學分會醫(yī)學影像人工智能工作組委員、中國抗癌協(xié)會腫瘤影像專業(yè)委員會青年委員、中國抗癌學會腫瘤影像診斷學專委會成立人工智能學組委員、中國研究型醫(yī)院學會腫瘤影像專業(yè)委員會青年委員 |