Dr. Ying Bai

Heart Flow Inc., USA

Senior Medical Imaging Scientist

Email:[email protected]

Qualifications

2008 Ph.D., Johns Hopkins University, Electrical and Computer Engineering

2005 M.Sc., Johns Hopkins University, Electrical and Computer Engineering

2002 B.Sc., Shanghai Jiao Tong University, Electrical Engineering

Publications (Selected)

1. Batten, James, et al. "Image-To-Tree with Recursive Prompting." 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024.
2. Taylor, Charles A., et al. "Patient-specific modeling of blood flow in the coronary arteries." Computer Methods in Applied Mechanics and Engineering 417 (2023): 116414.
3. Sinclair, Matthew, et al. "Atlas-ISTN: joint segmentation, registration and atlas construction with image-and-spatial transformer networks." Medical Image Analysis 78 (2022): 102383.
4. Bai, Ying, Xiao Han, and Jerry L. Prince. "Octree Grid Topology-Preserving Geometric Deformable Model (OTGDM)." Advances in Imaging and Electron Physics. Vol. 181. Elsevier, 2014. 1-34.
5. Woo, Jonghye, et al. "Super-resolution reconstruction for tongue MR images." Proceedings of SPIE--the International Society for Optical Engineering. Vol. 8314. 2012.
6. Bai, Ying, Xiao Han, and Jerry L. Prince. "Digital topology on adaptive octree grids." Journal of mathematical imaging and vision 34.2 (2009): 165-184.
7. Fan, Xian, et al. "A multiple geometric deformable model framework for homeomorphic 3D medical image segmentation." 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. IEEE, 2008.
8. Roy, Snehashis, et al. "Fuzzy c-means with variable compactness." 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2008.
9. Bai, Ying, Xiao Han, and Jerry L. Prince. "Topology-preserving geometric deformable model on adaptive quadtree grid." 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007.
10. Bai, Ying, Xiao Han, and Jerry L. Prince. "Octree grid topology preserving geometric deformable model for three-dimensional medical image segmentation." Biennial International Conference on Information Processing in Medical Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007.
11. Rousson, Mikael, et al. "Probabilistic minimal path for automated esophagus segmentation." Medical Imaging 2006: Image Processing. Vol. 6144. SPIE, 2006.

Profile Details
https://www.linkedin.com/in/ybaica
https://www.researchgate.net/profile/Ying-Bai-7
https://patents.justia.com/inventor/ying-bai

WoS Researcher ID: JCJ-2461-2023