Andriy Myronenko  

 



  ![](/sites/default/files/person/am.jpg)

  

 Andriy Myronenko is a senior research scientist at NVIDIA. His research interests include computer vision, deep learning and medical image analysis. At NVIDIA, his focus is on innovative AI algorithms for medical imaging applications, such as 3D MRI/CT organ and tumor segmentation. He also works on enabling AI technologies to be a part of clinical workflow through collaborations with hospitals, including UCSF and Stanford. In 2018, he won the first place in the largest international challenge of 3D MRI brain tumor segmentation (BraTS).

Before joining NVIDIA in 2018, Andriy was at Accuray research, developing algorithms for deformable registration and segmentation of 3D images for radiotherapy applications. He holds a PhD from Oregon Health and Science University (2010), where his research focus was on non-rigid image and point set registration methods.

Personal webpage: <https://sites.google.com/site/myronenko/>



   Research Area(s)

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

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

 

  

 Main Field of Interest

[Medical](/research-area/medical)

 

  

 

 

 



 ### Publications

 

### 2020 

[Neurreg: Neural registration and its application to image segmentation](/publication/2020-03_neurreg-neural-registration-and-its-application-image-segmentation)

Wentao Zhu, [Andriy Myronenko](/person/andriy-myronenko), [Ziyue Xu](/person/ziyue-xu), [Wenqi Li](/person/wenqi-li), [Holger Roth](/person/holger-roth), Yufang Huang, Fausto Milletari, [Daguang Xu](/person/daguang-xu)



[WACV](http://openaccess.thecvf.com/content_WACV_2020/papers/Zhu_NeurReg_Neural_Registration_and_Its_Application_to_Image_Segmentation_WACV_2020_paper.pdf)









### 2019 

[4D CNN for semantic segmentation of cardiac volumetric sequences](/publication/2019-10_4d-cnn-semantic-segmentation-cardiac-volumetric-sequences)

[Andriy Myronenko](/person/andriy-myronenko), [Dong Yang](/person/dong-yang), Varun Buch, [Daguang Xu](/person/daguang-xu), Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, [Holger Roth](/person/holger-roth)



[MICCAI 2019](https://www.miccai2019.org/)









### 2018 

[3D MRI Brain Tumor Segmentation Using Autoencoder Regularization](/publication/2018-09_3d-mri-brain-tumor-segmentation-using-autoencoder-regularization)

[Andriy Myronenko](/person/andriy-myronenko)



[MICCAI, BrainLes, 2018](https://link.springer.com/chapter/10.1007/978-3-030-11726-9_28)









### 2010 

[ Point Set Registration: Coherent Point Drift ](/index.php/publication/2010-12_point-set-registration-coherent-point-drift)

[Andriy Myronenko](/index.php/person/andriy-myronenko), Xubo Song



[PAMI 2010](https://ieeexplore.ieee.org/document/5432191)