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)