James M. Balter
Affiliations: | University of Michigan, Ann Arbor, Ann Arbor, MI |
Area:
Nuclear Engineering, RadiologyWebsite:
https://medicine.umich.edu/dept/radonc/james-balter-phdGoogle:
"James Balter"Bio:
https://www.proquest.com/openview/14bc411bac4708da2445809792764f88/1
Parents
Sign in to add mentorGeorge T. Y. Chen | grad student | 1992 | Chicago (Imaging Tree) | |
(Registration of radiographs in radiation therapy using open curve segments: Method and applications) |
Children
Sign in to add traineeKristy K. Brock-Leatherman | grad student | 2003 | University of Michigan (MathTree) |
Rojano Kashani | grad student | 2009 | University of Michigan |
Yong Long | grad student | 2011 | University of Michigan (Computer Science Tree) |
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Publications
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Zhang Y, Balter JM, Dow JS, et al. (2023) Development of an abdominal dose accumulation tool and assessments of accumulated dose in gastrointestinal organs. Physics in Medicine and Biology |
Zhang Y, Cao Y, Kashani R, et al. (2022) Real-time prediction of stomach motions based upon gastric contraction and breathing models. Physics in Medicine and Biology |
Liu L, Johansson A, Cao Y, et al. (2021) Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRI. Physics in Medicine and Biology |
Zhang Y, Kashani R, Cao Y, et al. (2020) A hierarchical model of abdominal configuration changes extracted from golden angle radial magnetic resonance imaging. Physics in Medicine and Biology |
Liu L, Johansson A, Cao Y, et al. (2020) Abdominal synthetic CT generation from MR Dixon images using a U-Net trained with "semi-synthetic" CT data. Physics in Medicine and Biology |
Gupta D, Kim M, Vineberg KA, et al. (2019) Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images. Frontiers in Oncology. 9: 964 |
McCulloch MM, Lee C, Rosen BS, et al. (2019) Predictive models to determine clinically relevant deviations in delivered dose for head and neck cancer. Practical Radiation Oncology |
Kim J, Matuszak M, Saitou K, et al. (2019) MO-F-BRA-01: A Biomechanical Constraint for Intensity-Driven Deformable Alignment of Skeletal Components in the Head and Neck Region. Medical Physics. 39: 3874-3875 |
Owen DR, Boonstra PS, Viglianti BL, et al. (2018) Modeling Patient-Specific Dose-Function Response for Enhanced Characterization of Personalized Functional Damage. International Journal of Radiation Oncology, Biology, Physics |
Johansson A, Balter JM, Cao Y. (2018) Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification. Medical Physics |