2009-09--2014-07 中国科学院大学 博士学位
2005-09--2009-07 中国科学技术大学 学士学位                         2019-10~现在, 中国科学院自动化研究所, 研究员
2016-11~2019-10, 中国科学院自动化研究所, 副研究员
2014-07~2016-10,中国科学院自动化研究所, 助理研究员

医学影像人工智能

国家自然科学基金委员会, 优秀青年科学基金项目, 81922040, 影像组学与肿瘤疗效评估, 2020-01-01 至 2022-12-31, 130万元, 结题, 主持                                            国家自然科学基金委员会, 重点项目, 62333022, 影像病理多组学融合的HER2阳性乳腺癌新辅助疗效评估, 2024-01-01 至 2028-12-31, 220万元, 在研, 主持                   北京市自然科学基金委员会, 北京市杰出青年科学基金项目, JQ23034, 直肠癌新辅助疗效预测的多中心分布式学习方法研究与临床验证, 2023-10 至 2026-12, 100万元, 在研, 主持                        中国科学院青年创新促进会优秀会员

Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study., Lancet Digital Health, 2022, 4(1): e8-e17                                                                                                                                                                                     Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer, Nature Communications, 2020, 11(1): 0-4308                                                                              3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279)., International Journal of Radiation Oncology, Biology, Physics, 2021, 111(4): 926-935                                                                                                                                                                                      Radiomics of multi-parametric MRI for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study, Clinical Cancer Research, 2019, 25(12): 3538-47                                                                                                                                                                                                                  Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists, IEEE Transactions on Biomedical Engineering, 2021, 68(12): 3690-3700                                                                                                                                                                                                        Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach, IEEE Journal of Biomedical and Health Informatics, 2023, 27(4): 1780-1789

田捷; 刘振宇; 沈忱; 董迪; 臧亚丽; 杨彩云; 徐敏 ; 一种基于影像组学的多模态磁共振图像差异检测方法及装置, 2016-4-13, 中国, 201610228491.4 (专利)  田捷; 刘振宇; 邵立智 ; 基于磁共振图像与数字病理图像融合的样本分类系统, 2019-11-29, 中国, CN201911199840.4 (专利) (5) 田捷; 刘振宇; 邵立智 ; 基于强化学习类脑读图的多层核磁影像分类方法及系统, 2020-10-19, 中国, CN202011119554.5 (专利)