Gengyan Zhao

Researcher, Siemens Healthineers

Joined

November 2024

Names

Gengyan Zhao (Preferred)

Emails

****@siemens-healthineers.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Researcher

Siemens Healthineers (siemens-healthineers.com)

2019 – Present

PhD student

University of Wisconsin - Madison (wisc.edu)

2014 – 2019

Advisors, Relations & Conflicts

Coauthor

Han Liu

2023 – Present

PhD Advisee

Badhan Kumar Das

2022 – Present

Coauthor

Andreas Maier

2022 – Present

Coworker

Eli Gibson

2019 – Present

Coauthor

Thomas J. Re

2019 – Present

Coauthor

Eli Gibson

2019 – Present

Coauthor

Dorin Comaniciu

2019 – Present

PhD Advisor

Rasmus Birn

2014 – 2019

PhD Advisor

Elizabeth M. Meyerand

2014 – 2019

Expertise

machine learning

2014 – Present

computer vision

2014 – Present

medical imaging

2014 – Present

Publications

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
Badhan Kumar Das, Ajay Singh, Saahil Islam, Gengyan Zhao, Andreas Maier
- MIDL 2025 Poster
- Readers: Everyone
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation
Youngjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu
- Medical Imaging: Computer-Aided Diagnosis 2023
- Readers: Everyone
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation
Gengyan Zhao, Youngjin Yoo, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu
- Medical Imaging: Image Processing 2023
- Readers: Everyone
Bayesian Conditional GAN for MRI Brain Image Synthesis
Gengyan Zhao, Mary E. Meyerand, Rasmus M. Birn
- CoRR 2020
- Readers: Everyone
Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity
Gengyan Zhao, Gyujoon Hwang, Cole J. Cook, Fang Liu, Mary E. Meyerand, Rasmus M. Birn
- CoRR 2020
- Readers: Everyone
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
Gengyan Zhao, Fang Liu, Jonathan A. Oler, Mary E. Meyerand, Ned H. Kalin, Rasmus M. Birn
- CoRR 2020
- Readers: Everyone
Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning
Gyujoon Hwang, Veena A. Nair, Jed Mathis, Cole J. Cook, Rosaleena Mohanty, Gengyan Zhao, Neelima Tellapragada, Candida Ustine, Onyekachi O. Nwoke, Charlene Rivera-Bonet, Megan Rozman, Linda Allen, Courtney Forseth, Dace N. Almane, Peter Kraegel, Andrew S. Nencka, Elizabeth Felton, Aaron F. Struck, Rasmus M. Birn, Rama Maganti et al. (8 additional authors not shown)
- Brain Connect. 2019
- Readers: Everyone
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz, Nagesh Adluru, Gregory R. Kirk, Peter A. Ferrazzano, Martin Styner, Andrew L. Alexander
- 2019 (modified: 06 Nov 2024)
- CoRR 2019
- Readers: Everyone

Co-Authors

View all 60 co-authors