Can Zhao  

 



  ![](/sites/default/files/person/IMG_1150.JPG)

  

 Dr. Can Zhao has been a Research Scientist at NVIDIA focusing on deep learning for medical imaging since 2019. She specializes in deep learning based medical image synthesis. Currently she leads the development of [MAISI,](https://github.com/NVIDIA-Medtech/NV-Generate-CTMR/tree/main) the 3D Medical Image Generation Foundation Model.

Can received her Bachelor degree from Tsinghua University in 2013, majored in semiconductor physics. She then shifted interests to medical imaging, worked with Dr. Jerry Prince and received Ph.D. in Electrical and Computer Engineering from Johns Hopkins University.

Can has been organizing MICCAI Industrial Talk Series since 2021. She served in organizing committee of MICCAI Simulation and Synthesis in Medical Imaging (SASHIMI) Workshop from 2020—2023, and is Session Chair of Society of Photo-Optical Instrumentation Engineers (SPIE) Medical Imaging for 2024. She is Area Chair and Session Chair of MICCAI for 2024. She is a board member of WiM (Women in MICCAI) for 2025 -- 2026.

How to pronounce my name: "Can Zhao" is pronounced as "Tsan Zhow". "Can" means brilliant and sunshine in Chinese.



   Research Area(s)

[Computer Vision](/index.php/research-area/computer-vision)

[Generative AI](/index.php/research-area/generative-ai)

[Medical](/index.php/research-area/medical)

 

 

  

 Main Field of Interest

[Medical](/index.php/research-area/medical)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=CdzhxtYAAAAJ&hl=en](https://scholar.google.com/citations?user=CdzhxtYAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2025 

[MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss](/publication/2025-08_maisi-v2-accelerated-3d-high-resolution-medical-image-synthesis-rectified-flow)

[Can Zhao](/person/can-zhao), Pengfei Guo, [Dong Yang](/person/dong-yang), Yucheng Tang, [Yufan He](/person/yufan-he), Benjamin Simon, Mason Belue, Stephanie Harmon, Baris Turkbey, [Daguang Xu](/person/daguang-xu)



[AAAI 2026](https://arxiv.org/abs/2508.05772)









### 2020 

[LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation](/publication/2020-10_lamp-large-deep-nets-automated-model-parallelism-image-segmentation)

Wentao Zhu, [Can Zhao](/person/can-zhao), [Wenqi Li](/person/wenqi-li), [Holger Roth](/person/holger-roth), [Ziyue Xu](/person/ziyue-xu), [Daguang Xu](/person/daguang-xu)



[MICCAI 2020](https://miccai2020.org/en/)