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Timothy David Solberg

Affiliations: 
1988-2005 University of California, Los Angeles, Los Angeles, CA 
 2005-2008 University of Nebraska Medical Center, Omaha, NE, United States 
 2008-2013 University of Texas Southwestern Medical Center, Dallas, TX, United States 
 2013-2016 University of Pennsylvania, Philadelphia, PA, United States 
 2016-2020 University of California, San Francisco, San Francisco, CA 
 2020- US Food & Drug Administration 
Area:
Medical Biophysics, Radiation Physics, Radiology
Website:
https://radonc.ucsf.edu/tim-solberg
Google:
"Timothy David Solberg"
Bio:

https://books.google.com/books?id=2KFLAQAAIAAJ
DOI: 10.1016/0360-3016(94)00495-7

Cross-listing: Physics Tree

Parents

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James Burton Smathers grad student 1996 UCLA
 (Application of radiation transport methods to small field dosimetry in heterogeneous media.)

Children

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Indrin J. Chetty grad student UCLA (Physics Tree)
Nzhde Agazaryan grad student 2001 UCLA (Physics Tree)
Randi F. Aaronson grad student 2003 UCLA (Computer Science Tree)
Geoffrey D. Hugo grad student 2003 UCLA
Stephen P. Sorensen grad student 2006 UCLA (Physics Tree)
Nicole M. Wink grad student 2006 UCLA (Physics Tree)
Stephen E. Tenn grad student 2007 UCLA (Physics Tree)
Michael P. Speiser grad student 2008 UCLA (Physics Tree)
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Publications

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Chetvertkov M, Monroe JI, Boparai J, et al. (2020) NRG Oncology Survey on Practice and Technology Use in SRT and SBRT Delivery. Frontiers in Oncology. 10: 602607
Kearney V, Chan JW, Wang T, et al. (2020) DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation. Scientific Reports. 10: 11073
Mills M, Solberg T, Halvorsen P. (2020) Centers for medicare & medicaid services radiation oncology alternative payment model and the future of radiation oncology physics practice Journal of Applied Clinical Medical Physics. 21: 4-6
Lee P, Loo BW, Biswas T, et al. (2019) HyTEC: Organ-Specific Paper Thoracic: Lung TCP. International Journal of Radiation Oncology, Biology, Physics
Luna JM, Chao HH, Diffenderfer ES, et al. (2019) Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 133: 106-112
Chen J, Morin O, Weethee B, et al. (2019) Optimizing beam models for dosimetric accuracy over a wide range of treatments. Physica Medica : Pm : An International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (Aifb). 58: 47-53
Speiser M, Hager F, Foster R, et al. (2019) SU-E-T-267: Construction and Evaluation of a Neutron Wall to Shield a 15 MV Linac in a Low-Energy Vault. Medical Physics. 39: 3764-3765
Kearney V, Chan JW, Valdes G, et al. (2018) The application of artificial intelligence in the IMRT planning process for head and neck cancer. Oral Oncology. 87: 111-116
Kearney V, Chan JW, Haaf S, et al. (2018) DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks. Physics in Medicine and Biology. 63: 235022
Baumann BC, Verginadis II, Zeng C, et al. (2018) Assessing the Validity of Clinician Advice That Patients Avoid Use of Topical Agents Before Daily Radiotherapy Treatments. Jama Oncology
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