Ti Bai

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Automatic Segmentation

Prostate Cancer

Top Venues

IEEE Trans. Medical Imaging

Mach. Learn. Sci. Technol.

Publications

Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Bing Li, Yunsong Tang, Chenyang Liu, Wen Li, Tian Li, Hong Ge, Jing Cai
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution. IEEE Trans. Medical Imaging 43 (1) (2024)
Xi Chen, Chaoyang Zhang, Ti Bai, Shaojie Chang
Improving Spectral CT Image Quality Based on Channel Correlation and Self-Supervised Learning. IEEE Trans. Computational Imaging 9 (2023)
Shaojie Chang, Yongfeng Gao, Marc J. Pomeroy, Ti Bai, Hao Zhang, Siming Lu, Perry J. Pickhardt, Amit Gupta, Michael Reiter, Elaine S. Gould, Zhengrong Liang
Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain. IEEE Trans. Medical Imaging 42 (6) (2023)
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
Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer. CoRR (2023)
Wufeng Xue, Heng Cao, Junqiang Ma, Ti Bai, Tianfu Wang, Dong Ni
Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation. IEEE J. Biomed. Health Informatics 26 (12) (2022)
Xiao Liang, Howard E. Morgan, Ti Bai, Michael Dohopolski, Dan Nguyen, Steve B. Jiang
Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy. CoRR (2022)
Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Dan Nguyen, Xinlei Wang, Mu-Han Lin, Robert Timmerman, Steve Jiang
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR (2022)
Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. HECKTOR@MICCAI (2022)
Chaoyang Zhang, Shaojie Chang, Ti Bai, Xi Chen
S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement. CoRR (2022)
Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang
Region Specific Optimization (RSO)-based Deep Interactive Registration. CoRR (2022)
Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. CoRR (2022)
Anjali Balagopal, Dan Nguyen, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve Jiang
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation. CoRR (2022)
Xiao Liang, Jaehee Chun, Howard E. Morgan, Ti Bai, Dan Nguyen, Justin C. Park, Steve B. Jiang
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. CoRR (2022)
Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Hong Ge, Bing Li, Chenyang Liu, Wen Li, Tian Li, Jing Cai
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution. CoRR (2022)
Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR (2021)
Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
Deep High-Resolution Network for Low Dose X-ray CT Denoising. CoRR (2021)
Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm. Mach. Learn. Sci. Technol. 2 (2) (2021)
Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging 40 (11) (2021)
Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm. CoRR (2020)
Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR (2020)
Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
Probabilistic self-learning framework for Low-dose CT Denoising. CoRR (2020)
Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang
Individualized 3D Dose Distribution Prediction Using Deep Learning. AIRT@MICCAI (2019)
Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance. CoRR (2018)
Ti Bai, Hao Yan, Xun Jia, Steve B. Jiang, Ge Wang, Xuanqin Mou
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. IEEE Trans. Medical Imaging 36 (12) (2017)
Shaojie Chang, Yanbo Zhang, Ti Bai, Xi Chen, Qiong Xu, Xuanqin Mou
A Simple but Effective Denoising Algorithm in Projection Domain of CBCT. ICIG (1) (2015)