个人简历：
曹晓欢博士现任上海联影智能医疗科技研发副总裁，同时任上海科技大学特聘研究员。本科、硕士、博士毕业于西北工业大学。2015至2018年在美国北卡罗莱纳大学教堂山分校 (University of North Carolina at Chapel Hill) 进行联合培养并担任研究助理。长期从事医学影像分析、人工智能算法研究。2016年凭借多模态图像配准与融合算法的研究工作获国际顶级会议 MICCAI Young Scientist Award 奖；2017年提出的 AI 非线性配准方法以封面论文的形式在国际期刊 TBME 上发表。目前累计发表文章30余篇，包括 Medical Image Analysis、IEEE TIP、IEEE TBME、IEEE TMI 等。多次受邀在国内、国际会议上发表主题学术演讲；担任 MICCAI 2019 领域主席，MLMI2020 大会主席等。
研究领域：
深度学习、机器学习
智能影像分析
代表性论文：
目前累计发表国际期刊与会议论文30余篇，代表性研究成果如下：
Xiaohuan Cao, et al. Dual-core Steered Non-rigid Registration for Multi-modal Images via Bi-directional Image Synthesis, Medical Image Analysis, 41(2017): 18-31
Xiaohuan Cao, et al. Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis, IEEE Transactions on Image Processing, 2018, 27(7): 3500-3512
Xiaohuan Cao, et al. Deformable Image Registration Using Cue-aware Deep Regression Network, IEEE Transactions on Biomedical Engineering, 2018,65(9): 1900-1911 (Cover Page Article)
Xiaohuan Cao, et al. Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 2016: 1-9.（MICCAI 2016 Young Scientist Award）
Xiaohuan Cao, et al. Deformable Image Registration via Similarity-Steered CNN Regression, International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2017: 300-308. (MICCAI 2017 Student Travel Award)
Xiaohuan Cao, et al. Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. International Workshop on Machine Learning in Medical Imaging. Springer, Cham, 2018: 55-63
Xiaohuan Cao, et al. Region-adaptive Deformable Registration for MRI/CT Pelvic Images via Bi-directional Image Synthesis. Anaual meeting ISMRM, Hawaii, USA, 22-17 April, 2017.
Xiaohuan Cao, et al. Non-rigid Brain MRI Registration Using Two-stage Deep Perceptive Networks. Joint annual meeting ISMRM-ESMRM, Paris, France 16-21 June, 2018. (Oral)
