Ti Bai
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A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy
Y Xu, T Bai, H Yan, L Ouyang, A Pompos, J Wang, L Zhou, SB Jiang, X Jia
Physics in Medicine & Biology 60 (9), 3567, 2015
Towards the clinical implementation of iterative low‐dose cone‐beam CT reconstruction in image‐guided radiation therapy: Cone/ring artifact correction and multiple GPU …
H Yan, X Wang, F Shi, T Bai, M Folkerts, L Cervino, SB Jiang, X Jia
Medical physics 41 (11), 111912, 2014
Z-index parameterization for volumetric CT image reconstruction via 3-D dictionary learning
T Bai, H Yan, X Jia, S Jiang, G Wang, X Mou
IEEE transactions on medical imaging 36 (12), 2466-2478, 2017
Deep Dose Plugin: Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning–based Denoising Algorithm
T Bai, B Wang, D Nguyen, SB Jiang
Machine Learning: Science and Technology, 2021
Probabilistic self‐learning framework for low‐dose CT denoising
T Bai, B Wang, D Nguyen, S Jiang
Medical physics 48 (5), 2258-2270, 2021
Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning
W Li, S Kazemifar, T Bai, D Nguyen, Y Weng, Y Li, J Xia, J Xiong, Y Xie, ...
Biomedical Physics & Engineering Express 7 (2), 025020, 2021
Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling
HC Shao, J Wang, T Bai, J Chun, JC Park, S Jiang, Y Zhang
Physics in Medicine & Biology 67 (11), 115009, 2022
Solution for large-scale hierarchical object detection datasets with incomplete annotation and data imbalance
Y Gao, X Bu, Y Hu, H Shen, T Bai, X Li, S Wen
arXiv preprint arXiv:1810.06208, 2018
Dictionary learning based low-dose x-ray CT reconstruction using a balancing principle
X Mou, J Wu, T Bai, Q Xu, H Yu, G Wang
Developments in X-Ray Tomography IX 9212, 47-61, 2014
Low-dose CT reconstruction based on multiscale dictionary
T Bai, X Mou, Q Xu, Y Zhang
Medical Imaging 2013: Physics of Medical Imaging 8668, 972-979, 2013
A feasibility study on deep learning‐based individualized 3D dose distribution prediction
J Ma, D Nguyen, T Bai, M Folkerts, X Jia, W Lu, L Zhou, S Jiang
Medical physics 48 (8), 4438-4447, 2021
Individualized 3D dose distribution prediction using deep learning
J Ma, T Bai, D Nguyen, M Folkerts, X Jia, W Lu, L Zhou, S Jiang
Artificial Intelligence in Radiation Therapy: First International Workshop …, 2019
Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation
W Xue, H Cao, J Ma, T Bai, T Wang, D Ni
IEEE Journal of Biomedical and Health Informatics 26 (12), 6105-6115, 2022
A Proof-of-Concept Study of Artificial Intelligence–assisted Contour Editing
T Bai, A Balagopal, M Dohopolski, HE Morgan, R McBeth, J Tan, MH Lin, ...
Radiology: Artificial Intelligence, e210214, 2022
TH‐A‐18C‐04: Ultrafast Cone‐Beam CT Scatter Correction with GPU‐Based Monte Carlo Simulation
Y Xu, T Bai, H Yan, L Ouyang, J Wang, A Pompos, L Zhou, S Jiang, X Jia
Medical Physics 41 (6Part31), 540-541, 2014
S2MS: Self-supervised learning driven multi-spectral CT image enhancement
C Zhang, S Chang, T Bai, X Chen
7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022
Segmentation by test‐time optimization for CBCT‐based adaptive radiation therapy
X Liang, J Chun, H Morgan, T Bai, D Nguyen, J Park, S Jiang
Medical physics 50 (4), 1947-1961, 2023
Deep interactive denoiser (did) for x-ray computed tomography
T Bai, B Wang, D Nguyen, B Wang, B Dong, W Cong, MK Kalra, S Jiang
IEEE Transactions on Medical Imaging 40 (11), 2965-2975, 2021
3D dictionary learning based iterative cone beam CT reconstruction
T Bai, H Yan, F Shi, X Jia, Y Lou, Q Xu, S Jiang, X Mou
Int J Cancer Ther Oncol 2, 020240, 2014
Data correlation based noise level estimation for cone beam projection data
T Bai, H Yan, L Ouyang, D Staub, J Wang, X Jia, SB Jiang, X Mou
Journal of X-ray Science and Technology 25 (6), 907-926, 2017
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