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Lianli Liu

Showing results (1-10 of 20) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 20, 2024
Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality ImagingLingting Zhu, Yizheng Chen, Lianli Liu, et al.
Computers in Biology and Medicine|November 6, 2025
ST-NeRP: Spatial-temporal neural representation learning with prior embedding for patient-specific imaging studyLiang Qiu, Liyue Shen, Lianli Liu, et al.
Physics in Medicine and Biology|August 19, 2021
Volumetric prediction of breathing and slow drifting motion in the abdomen using radial MRI and multi-temporal resolution modelingLianli Liu, Adam Johansson, Yue Cao, et al.
Physics in Medicine and Biology|December 2, 2015
A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapyLianli Liu, Yue Cao, Jeffrey A Fessler, et al.
Medical Physics|January 15, 2025
Efficient and accurate commissioning and quality assurance of radiosurgery beam via prior-embedded implicit neural representation learningLianli Liu, Cynthia Chang, Lei Wang, et al.
Physics in Medicine and Biology|March 18, 2017
Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planningJeremy S Bredfeldt, Lianli Liu, Mary Feng, et al.
Medical Physics|January 9, 2023
Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applicationsLianli Liu, Liyue Shen, Yong Yang, et al.
Physics in Medicine and Biology|March 16, 2021
Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRILianli Liu, Adam Johansson, Yue Cao, et al.
Physics in Medicine and Biology|March 18, 2017
Female pelvic synthetic CT generation based on joint intensity and shape analysisLianli Liu, Shruti Jolly, Yue Cao, et al.
Medical Image Analysis|October 10, 2025
Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusionXiaohan Xing, Qi Chen, Lequan Yu, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

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Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 20, 2024
Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality ImagingLingting Zhu, Yizheng Chen, Lianli Liu, et al.
Computers in Biology and Medicine|November 6, 2025
ST-NeRP: Spatial-temporal neural representation learning with prior embedding for patient-specific imaging studyLiang Qiu, Liyue Shen, Lianli Liu, et al.
Physics in Medicine and Biology|August 19, 2021
Volumetric prediction of breathing and slow drifting motion in the abdomen using radial MRI and multi-temporal resolution modelingLianli Liu, Adam Johansson, Yue Cao, et al.
Physics in Medicine and Biology|December 2, 2015
A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapyLianli Liu, Yue Cao, Jeffrey A Fessler, et al.
Medical Physics|January 15, 2025
Efficient and accurate commissioning and quality assurance of radiosurgery beam via prior-embedded implicit neural representation learningLianli Liu, Cynthia Chang, Lei Wang, et al.
Physics in Medicine and Biology|March 18, 2017
Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planningJeremy S Bredfeldt, Lianli Liu, Mary Feng, et al.
Medical Physics|January 9, 2023
Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applicationsLianli Liu, Liyue Shen, Yong Yang, et al.
Physics in Medicine and Biology|March 16, 2021
Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRILianli Liu, Adam Johansson, Yue Cao, et al.
Physics in Medicine and Biology|March 18, 2017
Female pelvic synthetic CT generation based on joint intensity and shape analysisLianli Liu, Shruti Jolly, Yue Cao, et al.
Medical Image Analysis|October 10, 2025
Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusionXiaohan Xing, Qi Chen, Lequan Yu, et al.
Pageof 2