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, RadiologyWebsite:
https://radonc.ucsf.edu/tim-solbergGoogle:
"Timothy David Solberg"Bio:
https://books.google.com/books?id=2KFLAQAAIAAJ
DOI: 10.1016/0360-3016(94)00495-7
Mean distance: (not calculated yet)
Cross-listing: MPROTree
Parents
Sign in to add mentor| James Burton Smathers | grad student | 1996 | UCLA | |
| (Application of radiation transport methods to small field dosimetry in heterogeneous media.) | ||||
Children
Sign in to add trainee| Indrin J. Chetty | grad student | UCLA | |
| Nzhde Agazaryan | grad student | 2001 | UCLA |
| Randi F. Aaronson | grad student | 2003 | UCLA (Computer Science Tree) |
| Geoffrey D. Hugo | grad student | 2003 | UCLA |
| Stephen P. Sorensen | grad student | 2006 | UCLA |
| Nicole M. Wink | grad student | 2006 | UCLA |
| Stephen E. Tenn | grad student | 2007 | UCLA |
| Michael P. Speiser | grad student | 2008 | UCLA |
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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 |