Ti Bai - RankMe

29 papers Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. CoRR Biling Wang, Austen Maniscalco, Ti Bai, Siqiu Wang, Michael Dohopolski, Mu-Han Lin, Chenyang Shen, Dan Nguyen, Junzhou Huang, Steve B. Jiang, Xinlei Wang
2025	J	`jnl`	Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer. Mach. Learn. Sci. Technol. Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve B. Jiang, Dan Nguyen
2025	J	`jnl`	Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. Mach. Learn. Sci. Technol. Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang
2024	J	`jnl`	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 Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Bing Li, Yunsong Tang, Chenyang Liu, Wen Li, Tian Li, Hong Ge, Jing Cai
2024	J	`jnl`	Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy. Mach. Learn. Sci. Technol. Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve B. Jiang
2023	J	`jnl`	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 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
2023	J	`jnl`	Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Improving Spectral CT Image Quality Based on Channel Correlation and Self-Supervised Learning. IEEE Trans. Computational Imaging Xi Chen, Chaoyang Zhang, Ti Bai, Shaojie Chang
2022	J	`jnl`	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 Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Hong Ge, Bing Li, Chenyang Liu, Wen Li, Tian Li, Jing Cai
2022	J	`jnl`	Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy. CoRR Xiao Liang, Howard E. Morgan, Ti Bai, Michael Dohopolski, Dan Nguyen, Steve B. Jiang
2022	J	`jnl`	Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation. IEEE J. Biomed. Health Informatics Wufeng Xue, Heng Cao, Junqiang Ma, Ti Bai, Tianfu Wang, Dong Ni
2022	—	`conf`	Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. HECKTOR@MICCAI Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang
2022	J	`jnl`	Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR 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
2022	J	`jnl`	Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation. CoRR Anjali Balagopal, Dan Nguyen, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang
2022	J	`jnl`	Region Specific Optimization (RSO)-based Deep Interactive Registration. CoRR Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang
2022	J	`jnl`	S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement. CoRR Chaoyang Zhang, Shaojie Chang, Ti Bai, Xi Chen
2022	J	`jnl`	Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. CoRR Xiao Liang, Jaehee Chun, Howard E. Morgan, Ti Bai, Dan Nguyen, Justin C. Park, Steve B. Jiang
2022	J	`jnl`	Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. CoRR Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang
2021	J	`jnl`	A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang
2021	J	`jnl`	Deep High-Resolution Network for Low Dose X-ray CT Denoising. CoRR Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
2021	J	`jnl`	Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
2021	J	`jnl`	Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm. Mach. Learn. Sci. Technol. Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
2020	J	`jnl`	Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm. CoRR Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
2020	J	`jnl`	Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
2020	J	`jnl`	Probabilistic self-learning framework for Low-dose CT Denoising. CoRR Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
2019	—	`conf`	Individualized 3D Dose Distribution Prediction Using Deep Learning. AIRT@MICCAI Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang
2018	J	`jnl`	Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance. CoRR Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen
2017	J	`jnl`	Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. IEEE Trans. Medical Imaging Ti Bai, Hao Yan, Xun Jia, Steve B. Jiang, Ge Wang, Xuanqin Mou
2015	—	`conf`	A Simple but Effective Denoising Algorithm in Projection Domain of CBCT. ICIG (1) Shaojie Chang, Yanbo Zhang, Ti Bai, Xi Chen, Qiong Xu, Xuanqin Mou