Ti Bai

According to our database, Ti Bai authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution.

Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Bing Li, Yunsong Tang, Chenyang Liu, Wen Li, Tian Li, Hong Ge, Jing Cai

IEEE Trans. Medical Imaging, January, 2024

2023

Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain.

Shaojie Chang, Yongfeng Gao, Marc Jason Pomeroy, Ti Bai, Hao Zhang, Siming Lu, Perry J. Pickhardt, Amit Gupta, Michael Reiter, Elaine S. Gould, Zhengrong Liang

IEEE Trans. Medical Imaging, June, 2023

Improving Spectral CT Image Quality Based on Channel Correlation and Self-Supervised Learning.

Xi Chen, Chaoyang Zhang, Ti Bai, Shaojie Chang

IEEE Trans. Computational Imaging, 2023

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer.

Anjali Balagopal, Michael Dohopolski, Young Suk Kwon, Steven Montalvo, Howard E. Morgan, Ti Bai, Dan Nguyen, Xiao Liang, Xinran Zhong, Mu-Han Lin, Neil Desai, Steve B. Jiang

CoRR, 2023

2022

Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation.

Wufeng Xue, Heng Cao, Junqiang Ma, Ti Bai, Tianfu Wang, Dong Ni

IEEE J. Biomed. Health Informatics, 2022

Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution.

Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Hong Ge, Bing Li, Chenyang Liu, Wen Li, Tian Li, Jing Cai

CoRR, 2022

Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation.

Anjali Balagopal, Dan Nguyen, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang

CoRR, 2022

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.

Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Dan Nguyen, Xinlei Wang, Mu-Han Lin, Robert Timmerman, Steve B. Jiang

CoRR, 2022

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective.

Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang

CoRR, 2022

Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy.

Xiao Liang, Howard E. Morgan, Ti Bai, Michael Dohopolski, Dan Nguyen, Steve B. Jiang

CoRR, 2022

Region Specific Optimization (RSO)-based Deep Interactive Registration.

Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang

CoRR, 2022

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy.

Xiao Liang, Jaehee Chun, Howard E. Morgan, Ti Bai, Dan Nguyen, Justin C. Park, Steve B. Jiang

CoRR, 2022

S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement.

Chaoyang Zhang, Shaojie Chang, Ti Bai, Xi Chen

CoRR, 2022

Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement.

Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.

Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang

IEEE Trans. Medical Imaging, 2021

Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm.

Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang

Mach. Learn. Sci. Technol., 2021

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision.

Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang

CoRR, 2021

Deep High-Resolution Network for Low Dose X-ray CT Denoising.

Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang

CoRR, 2021

2020

Probabilistic self-learning framework for Low-dose CT Denoising.

Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang

CoRR, 2020

2019

Individualized 3D Dose Distribution Prediction Using Deep Learning.

Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

2018

Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance.

Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen

CoRR, 2018

2017

Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.

Ti Bai, Hao Yan, Xun Jia, Steve B. Jiang, Ge Wang, Xuanqin Mou

IEEE Trans. Medical Imaging, 2017

2015

A Simple but Effective Denoising Algorithm in Projection Domain of CBCT.

Shaojie Chang, Yanbo Zhang, Ti Bai, Xi Chen, Qiong Xu, Xuanqin Mou

Proceedings of the Image and Graphics - 8th International Conference, 2015