TimothySolbergMDPhD

PubMed

• 29 citations
  An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication
  Olivier Morin, Martin Vallières, Steve Braunstein, Jorge Barrios Ginart, Taman Upadhaya, Henry C. Woodruff, Alex Zwanenburg, Avishek Chatterjee, Javier Villanueva-Meye...> ;Nature Cancer. 2021 Jul 1
• 8 citations
  Stereotactic Radiosurgery for Vestibular Schwannomas: Tumor Control Probability Analyses and Recommended Reporting Standards.
  Scott G. Soltys, Michael T. Milano, Jinyu Xue, Wolfgang A. Tomé, Ellen Yorke, Jason P. Sheehan, George X. Ding, John P. Kirkpatrick, Lijun Ma, Arjun Sahgal, Timothy D....> ;International Journal of Radiation Oncology, Biology, Physics. 2021 May 1
• 19 citations
  Targeted transfer learning to improve performance in small medical physics datasets.
  Miguel Romero, Yannet Interian, Timothy Solberg, Gilmer Valdes> ;Medical Physics. 2020 Dec 1
• 5 citations
  NRG Oncology Survey on Practice and Technology Use in SRT and SBRT Delivery.
  M Chetvertkov, James I. Monroe, Jaskaran Boparai, Timothy D. Solberg, Deanna H. Pafundi, R. Ruo, David J. Gladstone, Fang-Fang Yin, Indrin J. Chetty, Stanley H Benedic...> ;Frontiers in Oncology. 2020 Nov 27
• 4 citations
  Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for...
  Katelyn Hasse, J. Scholey, B. P. Ziemer, Y. Natsuaki, Olivier Morin, Timothy D. Solberg, E. Hirata, Gilmer Valdes, A. Witztum> ;International Journal of Radiation Oncology, Biology, Physics. 2021 Mar 15
• 27 citations
  DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation.
  V. Kearney, Jason Chan, Tianqi Wang, Alan Perry, Martina Descovich, Olivier Morin, Sue S. Yom, Timothy D. Solberg> ;Scientific Reports. 2020 Jul 6
• Reply to Nock and Nielsen: On the work of Nock and Nielsen and its relationship to the additive tree.
  Gilmer Valdes, José Marcio Luna, Efstathios D. Gennatas, Lyle H. Ungar, Eric Eaton, Eric S. Diffenderfer, Shane T. Jensen, Charles B. Simone, Jerome H. Friedman, Timot...> ;Proceedings of the National Academy of Sciences of the United States of America. 2020 Apr 7
• 29 citations
  Attention-Aware Discrimination for MR-to-CT Image Translation Using Cycle-Consistent Generative Adversarial Networks.
  V. Kearney, B. P. Ziemer, Alan Perry, Tianqi Wang, Jason Chan, Lijun Ma, Olivier Morin, Sue S. Yom, Timothy D. Solberg> ;Radiology. Artificial Intelligence. 2020 Mar 25
• 35 citations
  Expert-augmented machine learning
  Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, Lara G. Reichmann, Yannet Interian, José Marcio Luna, Charles B. Simone, Andr...> ;Proceedings of the National Academy of Sciences of the United States of America. 2020 Mar 3
• 15 citations
  Photons or protons for reirradiation in (non-)small cell lung cancer: Results of the multicentric ROCOCO in silico study
  Esther G.C. Troost, Krista C.J. Wink, Erik Roelofs, Charles B. Simone, S. Makocki, Steffen Löck, Peter G.M. van Kollenburg, D. Dechambre, André Minken, Judith van der ...> ;The British Journal of Radiology. 2020 Mar 1
• 1 citations
  Centers for medicare & medicaid services radiation oncology alternative payment model and the future of radiation oncology physics practice
  Michael D. Mills, Timothy D. Solberg, Per H. Halvorsen> ;Journal of Applied Clinical Medical Physics. 2020 Jan 28
• 25 citations
  Building more accurate decision trees with the additive tree
  José Marcio Luna, Efstathios D. Gennatas, Lyle H. Ungar, Eric Eaton, Eric S. Diffenderfer, Shane T. Jensen, Charles B. Simone, Jerome H. Friedman, Timothy D. Solberg, ...> ;Proceedings of the National Academy of Sciences of the United States of America. 2019 Oct 1
• 30 citations
  Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.
  V. Kearney, Jason Chan, Tianqi Wang, Alan Perry, Sue S. Yom, Timothy D. Solberg> ;Physics in Medicine and Biology. 2019 Jul 2
• 31 citations
  NCTN Assessment on Current Applications of Radiomics in Oncology.
  Ke Nie, Hania A. Al-Hallaq, X. Allen Li, Stanley H Benedict, Jason W. Sohn, Jean M. Moran, Yong Fan, Mi Huang, Michael V. Knopp, Jeff M. Michalski, James I. Monroe, Ce...> ;International Journal of Radiation Oncology, Biology, Physics. 2019 Jun 1
• 66 citations
  Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.
  Olivier Morin, William C. Chen, Farshad Nassiri, Matthew S. Susko, Stephen T. Magill, Harish N. Vasudevan, Ashley Wu, Martin Vallières, Efstathios D. Gennatas, Gilmer ...> ;Neuro-Oncology Advances. 2019 May 1
• 36 citations
  A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning
  Jason Chan, V. Kearney, Samuel Haaf, Susan Wu, Madeleine Bogdanov, Mariah Reddick, Nayha Dixit, Atchar Sudhyadhom, Josephine Chen, Sue S. Yom, Timothy D. Solberg> ;Medical Physics. 2019 May 1
• 31 citations
  Local Control After Stereotactic Body Radiation Therapy for Stage I Non-Small Cell Lung Cancer
  Percy Lee, Billy W. Loo, Tithi Biswas, George X. Ding, Issam El Naqa, Andrew Jackson, Feng-Ming Kong, Tamara LaCouture, Moyed Miften, Timothy D. Solberg, Wolfgang A. T...> ;International Journal of Radiation Oncology, Biology, Physics. 2021 May 1
• 47 citations
  Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.
  José Marcio Luna, Hann-Hsiang Chao, Eric S. Diffenderfer, Gilmer Valdes, Chidambaram Chinniah, Grace L. Ma, Keith A. Cengel, Timothy D. Solberg, Abigail T. Berman, Cha...> ;Radiotherapy and Oncology. 2019 Apr 1
• 4 citations
  Optimizing beam models for dosimetric accuracy over a wide range of treatments
  Josephine Chen, Olivier Morin, Brandon Weethee, A Perez-Andujar, Justin Scott Phillips, M Held, V. Kearney, Dae Yup Han, J Cheung, Cynthia H. Chuang, Gilmer Valdes, At...> ;Physica Medica. 2019 Feb 1
• 7 citations
  Erratum: “Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers” [Med. Phys. 45 (7), 3449-3459 (2018)]
  Timo M. Deist, Frank J. W. M. Dankers, Gilmer Valdes, R. Wijsman, I-Chow Hsu, Cary Oberije, Tim Lustberg, Johan van Soest, Frank J. P. Hoebers, Arthur Jochems, Issam E...> ;Medical Physics. 2019 Feb 1
• 16 citations
  Clinical outcome after surgery for lumbar spinal stenosis in patients with insignificant lower extremity pain. A prospective cohort study from the Norwegian registry f...
  Erland Hermansen, Tor Åge Myklebust, Ivar Magne Austevoll, Frode Rekeland, Tore Solberg, Kjersti Storheim, Oliver Grundnes, Jørn Aaen, Jens Ivar Brox, Christian Hellum...> ;BMC Musculoskeletal Disorders. 2019 Jan 22
• 95 citations
  DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks.
  V. Kearney, Jason Chan, Samuel Haaf, Martina Descovich, Timothy D. Solberg> ;Physics in Medicine and Biology. 2018 Dec 4
• In Reply to Gensheimer and Trister.
  Gilmer Valdes, Albert J. Chang, Adam Cunnan, Timothy D. Solberg, I-Chow Hsu, Yannet Interian, Kenton Owen, Shane T. Jensen, Lyle H. Ungar> ;International Journal of Radiation Oncology, Biology, Physics. 2018 Dec 1
• 34 citations
  The application of artificial intelligence in the IMRT planning process for head and neck cancer.
  V. Kearney, Jason Chan, Gilmer Valdes, Timothy D. Solberg, Sue S. Yom> ;Oral Oncology. 2018 Dec 1
• 7 citations
  Assessing the Validity of Clinician Advice That Patients Avoid Use of Topical Agents Before Daily Radiotherapy Treatments
  Brian C. Baumann, Ioannis I. Verginadis, Chuan Zeng, Brett Bell, Sravya Koduri, Carolyn Vachani, Kelly M. MacArthur, Timothy D. Solberg, Constantinos Koumenis, James M...> ;JAMA Oncology. 2018 Dec 1
• Join now to see all