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Medical Physics
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July 5, 2012
Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model
Agung Hertanto, Qinghui Zhang, Yu-Chi Hu, et al.
Medical Physics
|
July 10, 2021
Deformation driven Seq2Seq longitudinal tumor and organs-at-risk prediction for radiotherapy
Donghoon Lee, Sadegh R Alam, Jue Jiang, et al.
Medical Physics
|
July 17, 2010
Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model
Qinghui Zhang, Yu-Chi Hu, Fenghong Liu, et al.
Medical Physics
|
July 27, 2012
Interactive semiautomatic contour delineation using statistical conditional random fields framework
Yu-Chi Hu, Michael D Grossberg, Abraham Wu, et al.
Medical Physics
|
July 6, 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Journal of Applied Clinical Medical Physics
|
September 11, 2024
Geometric evaluation and quantifying dosimetric impact of diverse deformable image registration algorithms on abdomen images with biomechanically modeled deformations
Yilin Liu, Pengpeng Zhang, Jun Hong, et al.
IEEE Transactions on Medical Imaging
|
October 24, 2007
Automated finite-element analysis for deformable registration of prostate images
Jessica R Crouch, Stephen M Pizer, Edward L Chaney, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 21, 2022
Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer
Donghoon Lee, Yu-Chi Hu, Licheng Kuo, et al.
Medical Physics
|
January 17, 2008
A patient-specific respiratory model of anatomical motion for radiation treatment planning
Qinghui Zhang, Alex Pevsner, Agung Hertanto, et al.
Physics in Medicine and Biology
|
October 7, 2020
Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
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of 5
Search research articles
Search
Showing results (11-20 of 45) with videos related to
Sort By:
Page
of 5
Medical Physics
|
July 5, 2012
Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model
Agung Hertanto, Qinghui Zhang, Yu-Chi Hu, et al.
Medical Physics
|
July 10, 2021
Deformation driven Seq2Seq longitudinal tumor and organs-at-risk prediction for radiotherapy
Donghoon Lee, Sadegh R Alam, Jue Jiang, et al.
Medical Physics
|
July 17, 2010
Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model
Qinghui Zhang, Yu-Chi Hu, Fenghong Liu, et al.
Medical Physics
|
July 27, 2012
Interactive semiautomatic contour delineation using statistical conditional random fields framework
Yu-Chi Hu, Michael D Grossberg, Abraham Wu, et al.
Medical Physics
|
July 6, 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
Journal of Applied Clinical Medical Physics
|
September 11, 2024
Geometric evaluation and quantifying dosimetric impact of diverse deformable image registration algorithms on abdomen images with biomechanically modeled deformations
Yilin Liu, Pengpeng Zhang, Jun Hong, et al.
IEEE Transactions on Medical Imaging
|
October 24, 2007
Automated finite-element analysis for deformable registration of prostate images
Jessica R Crouch, Stephen M Pizer, Edward L Chaney, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 21, 2022
Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer
Donghoon Lee, Yu-Chi Hu, Licheng Kuo, et al.
Medical Physics
|
January 17, 2008
A patient-specific respiratory model of anatomical motion for radiation treatment planning
Qinghui Zhang, Alex Pevsner, Agung Hertanto, et al.
Physics in Medicine and Biology
|
October 7, 2020
Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, et al.
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of 5