A Simple but Effective Denoising Algorithm in Projection Domain of CBCT. - Shaojie Chang; Yanbo Zhang; Ti Bai; Xi Chen; Qiong Xu; Xuanqin Mou (ICIG (1), 2015)

Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. - Ti Bai; Hao Yan; Xun Jia; Steve B. Jiang; Ge Wang 001; Xuanqin Mou (IEEE Trans. Medical Imaging, 2017)

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)

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 (AIRT@MICCAI, 2019)

Probabilistic self-learning framework for Low-dose CT Denoising. - Ti Bai; Dan Nguyen; Biling Wang; Steve B. Jiang (CoRR, 2020)

Deep High-Resolution Network for Low Dose X-ray CT Denoising. - Ti Bai; Dan Nguyen; Biling Wang; Steve B. Jiang (CoRR, 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 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)

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. - Ti Bai; Biling Wang; Dan Nguyen; Bao Wang 001; Bin Dong 001; Wenxiang Cong; Mannudeep K. Kalra; Steve B. Jiang (IEEE Trans. Medical Imaging, 2021)

Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. - Anthony Wang; Ti Bai; Dan Nguyen; Steve B. Jiang (HECKTOR@MICCAI, 2022)

S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement. - Chaoyang Zhang; Shaojie Chang; Ti Bai; Xi Chen (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)

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)

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)

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. - Michael Dohopolski; Kai Wang 053; Biling Wang; Ti Bai; Dan Nguyen; David J. Sher; Steve B. Jiang; Jing Wang 022 (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)

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 001; Chenyang Liu; Wen Li 010; Tian Li 012; Jing Cai 001 (CoRR, 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 001; Dong Ni 001 (IEEE J. Biomed. Health Informatics, 2022)

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)

Improving Spectral CT Image Quality Based on Channel Correlation and Self-Supervised Learning. - Xi Chen 082; Chaoyang Zhang; Ti Bai; Shaojie Chang (IEEE Trans. Computational Imaging, 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 026; Siming Lu; Perry J. Pickhardt; Amit Gupta; Michael Reiter; Elaine S. Gould; Zhengrong Liang (IEEE Trans. Medical Imaging, 2023)

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 001; Yunsong Tang; Chenyang Liu; Wen Li 010; Tian Li 012; Hong Ge; Jing Cai 001 (IEEE Trans. Medical Imaging, 2024)

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. - Dan Nguyen; Anjali Balagopal; Ti Bai; Michael Dohopolski; Mu-Han Lin; Steve B. Jiang (Mach. Learn. Sci. Technol., 2025)

Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer. - Hengrui Zhao; Biling Wang; Michael Dohopolski; Ti Bai; Steve B. Jiang; Dan Nguyen (Mach. Learn. Sci. Technol., 2025)

AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. - Biling Wang; Austen Maniscalco; Ti Bai; Siqiu Wang; Michael Dohopolski; Mu-Han Lin; Chenyang Shen; Dan Nguyen; Junzhou Huang; Steve B. Jiang; Xinlei Wang (CoRR, 2025)