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Frontiers in Oncology
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October 26, 2019
Super-Resolution <sup>1</sup>H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
Zohaib Iqbal, Dan Nguyen, Gilbert Hangel, et al.
Machine Learning: Science and Technology
|
October 14, 2024
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net
Shunyu Yan, Austen Maniscalco, Biling Wang, et al.
Physics in Medicine and Biology
|
January 19, 2023
Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy
Xiao Liang, Howard Morgan, Ti Bai, et al.
Scientific Reports
|
April 8, 2024
An AI-based approach for modeling the synergy between radiotherapy and immunotherapy
Hao Peng, Casey Moore, Yuanyuan Zhang, et al.
Seminars in Radiation Oncology
|
October 6, 2022
Advances in Automated Treatment Planning
Dan Nguyen, Mu-Han Lin, David Sher, et al.
Journal of Applied Clinical Medical Physics
|
June 20, 2020
Boosting radiotherapy dose calculation accuracy with deep learning
Yixun Xing, You Zhang, Dan Nguyen, et al.
Machine Learning: Science and Technology
|
April 18, 2025
Prior guided deep difference meta-learner for fast adaptation to stylized segmentation
Dan Nguyen, Anjali Balagopal, Ti Bai, et al.
Journal of Applied Clinical Medical Physics
|
March 15, 2025
Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data
Hui-Ju Wang, Austen Maniscalco, David Sher, et al.
Medical Physics
|
October 31, 2022
Segmentation by test-time optimization for CBCT-based adaptive radiation therapy
Xiao Liang, Jaehee Chun, Howard Morgan, et al.
Physics in Medicine and Biology
|
December 20, 2016
A new approach to integrate GPU-based Monte Carlo simulation into inverse treatment plan optimization for proton therapy
Yongbao Li, Zhen Tian, Ting Song, et al.
Page
of 14
Search research articles
Search
Showing results (31-40 of 137) with videos related to
Sort By:
Page
of 14
Frontiers in Oncology
|
October 26, 2019
Super-Resolution <sup>1</sup>H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
Zohaib Iqbal, Dan Nguyen, Gilbert Hangel, et al.
Machine Learning: Science and Technology
|
October 14, 2024
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net
Shunyu Yan, Austen Maniscalco, Biling Wang, et al.
Physics in Medicine and Biology
|
January 19, 2023
Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy
Xiao Liang, Howard Morgan, Ti Bai, et al.
Scientific Reports
|
April 8, 2024
An AI-based approach for modeling the synergy between radiotherapy and immunotherapy
Hao Peng, Casey Moore, Yuanyuan Zhang, et al.
Seminars in Radiation Oncology
|
October 6, 2022
Advances in Automated Treatment Planning
Dan Nguyen, Mu-Han Lin, David Sher, et al.
Journal of Applied Clinical Medical Physics
|
June 20, 2020
Boosting radiotherapy dose calculation accuracy with deep learning
Yixun Xing, You Zhang, Dan Nguyen, et al.
Machine Learning: Science and Technology
|
April 18, 2025
Prior guided deep difference meta-learner for fast adaptation to stylized segmentation
Dan Nguyen, Anjali Balagopal, Ti Bai, et al.
Journal of Applied Clinical Medical Physics
|
March 15, 2025
Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data
Hui-Ju Wang, Austen Maniscalco, David Sher, et al.
Medical Physics
|
October 31, 2022
Segmentation by test-time optimization for CBCT-based adaptive radiation therapy
Xiao Liang, Jaehee Chun, Howard Morgan, et al.
Physics in Medicine and Biology
|
December 20, 2016
A new approach to integrate GPU-based Monte Carlo simulation into inverse treatment plan optimization for proton therapy
Yongbao Li, Zhen Tian, Ting Song, et al.
Page
of 14