Gengyan Zhao

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Automatic Segmentation

Image Synthesis

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

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
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. Medical Imaging: Computer-Aided Diagnosis (2023)
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
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. Medical Imaging: Image Processing (2023)
Gengyan Zhao, Gyujoon Hwang, Cole J. Cook, Fang Liu, Mary E. Meyerand, Rasmus M. Birn
Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity. CoRR (2020)
Gengyan Zhao, Fang Liu, Jonathan A. Oler, Mary E. Meyerand, Ned H. Kalin, Rasmus M. Birn
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates. CoRR (2020)
Gengyan Zhao, Mary E. Meyerand, Rasmus M. Birn
Bayesian Conditional GAN for MRI Brain Image Synthesis. CoRR (2020)
Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz, Nagesh Adluru, Gregory R. Kirk, Peter A. Ferrazzano, Martin Styner, Andrew L. Alexander
Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network. CoRR (2019)
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, Lisa L. Conant, Colin J. Humphries, Bruce Hermann, Manoj Raghavan, Edgar A. DeYoe, Jeffrey R. Binder, Mary Elizabeth Meyerand, Vivek Prabhakaran
Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. Brain Connect. 9 (2) (2019)
Gengyan Zhao, Fang Liu, Jonathan A. Oler, Mary E. Meyerand, Ned H. Kalin, Rasmus M. Birn
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates. NeuroImage 175 (2018)