Bayesian convolutional neural network based MRI brain extraction on nonhuman primates. - Gengyan Zhao; Fang Liu 005; Jonathan A. Oler; Mary E. Meyerand; Ned H. Kalin; Rasmus M. Birn (NeuroImage, 2018)

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; et al. (Brain Connect., 2019)

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 (CoRR, 2019)

Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity. - Gengyan Zhao; Gyujoon Hwang; Cole J. Cook; Fang Liu 005; Mary E. Meyerand; Rasmus M. Birn (CoRR, 2020)

Bayesian Conditional GAN for MRI Brain Image Synthesis. - Gengyan Zhao; Mary E. Meyerand; Rasmus M. Birn (CoRR, 2020)

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 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; et al. (Computer-Aided Diagnosis, 2023)

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 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; Rajan Jain; et al. (Image Processing, 2023)

Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging. - Badhan Kumar Das; Gengyan Zhao; Han Liu; Thomas J. Re; Dorin Comaniciu; Eli Gibson; Andreas K. Maier (ISBI, 2025)

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation. - Badhan Kumar Das; Ajay Singh; Saahil Islam; Gengyan Zhao; Andreas Maier 001 (CoRR, 2025)

AdaViT: Adaptive Vision Transformer for Flexible Pretrain and Finetune with Variable 3D Medical Image Modalities. - Badhan Kumar Das; Gengyan Zhao; Han Liu; Thomas J. Re; Dorin Comaniciu; Eli Gibson; Andreas K. Maier (CoRR, 2025)

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data. - Badhan Kumar Das; Gengyan Zhao; Boris Mailhé; Thomas J. Re; Dorin Comaniciu; Eli Gibson; Andreas K. Maier (CoRR, 2025)

VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation. - Badhan Kumar Das; Ajay Singh; Gengyan Zhao; Han Liu; Thomas J. Re; Dorin Comaniciu; Eli Gibson; Andreas K. Maier (CoRR, 2025)