Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

86 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Artificial intelligence for clinical oncology.
Kann BH, Hosny A, Aerts HJWL. Kann BH, et al. Cancer Cell. 2021 Jul 12;39(7):916-927. doi: 10.1016/j.ccell.2021.04.002. Epub 2021 Apr 29. Cancer Cell. 2021. PMID: 33930310 Free PMC article. Review.
International Multi-Specialty Expert Physician Preoperative Identification of Extranodal Extension n Oropharyngeal Cancer Patients using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation.
Multidisciplinary Oropharyngeal Cancer Extra-Nodal Extension (OPC ENE) Assessment Working Group; Sahin O, Kamel S, Wahid KA, Dede C, Taku N, He R, Naser MA, Sharafi S, Mäkitie A, Kann BH, Kaski K, Sahlsten J, Jaskari J, Amit M, Chronowski GM, Diaz EM Jr, Garden AS, Goepfert RP, Guenette JP, Gunn GB, Hirvonen J, Hoebers F, Hutcheson KA, Guha-Thakurta N, Johnson J, Kaya D, Khanpara SD, Nyman K, Lai SY, Lango M, Learned KO, Lee A, Lewis CM, Maniakas A, Moreno AC, Myers JN, Phan J, Pytynia KB, Rosenthal DI, Sandulache VC, Schellingerhout D, Shah SJ, Sikora AG, Mohamed ASR, Chen MM, Fuller CD. Multidisciplinary Oropharyngeal Cancer Extra-Nodal Extension (OPC ENE) Assessment Working Group, et al. Among authors: kann bh. medRxiv [Preprint]. 2024 Jun 8:2023.02.25.23286432. doi: 10.1101/2023.02.25.23286432. medRxiv. 2024. PMID: 36865096 Free PMC article. Preprint.
Artificial intelligence in radiation oncology.
Huynh E, Hosny A, Guthier C, Bitterman DS, Petit SF, Haas-Kogan DA, Kann B, Aerts HJWL, Mak RH. Huynh E, et al. Nat Rev Clin Oncol. 2020 Dec;17(12):771-781. doi: 10.1038/s41571-020-0417-8. Epub 2020 Aug 25. Nat Rev Clin Oncol. 2020. PMID: 32843739 Review.
Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans.
Ye Z, Qian JM, Hosny A, Zeleznik R, Plana D, Likitlersuang J, Zhang Z, Mak RH, Aerts HJWL, Kann BH. Ye Z, et al. Among authors: kann bh. Radiol Artif Intell. 2022 May 4;4(3):e210285. doi: 10.1148/ryai.210285. eCollection 2022 May. Radiol Artif Intell. 2022. PMID: 35652117 Free PMC article.
Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study.
Hosny A, Bitterman DS, Guthier CV, Qian JM, Roberts H, Perni S, Saraf A, Peng LC, Pashtan I, Ye Z, Kann BH, Kozono DE, Christiani D, Catalano PJ, Aerts HJWL, Mak RH. Hosny A, et al. Among authors: kann bh. Lancet Digit Health. 2022 Sep;4(9):e657-e666. doi: 10.1016/S2589-7500(22)00129-7. Lancet Digit Health. 2022. PMID: 36028289 Free PMC article.
Prediction of Distant Metastases After Stereotactic Body Radiation Therapy for Early Stage NSCLC: Development and External Validation of a Multi-Institutional Model.
Gao SJ, Jin L, Meadows HW, Shafman TD, Gross CP, Yu JB, Aerts HJWL, Miccio JA, Stahl JM, Mak RH, Decker RH, Kann BH. Gao SJ, et al. Among authors: kann bh. J Thorac Oncol. 2023 Mar;18(3):339-349. doi: 10.1016/j.jtho.2022.11.007. Epub 2022 Nov 15. J Thorac Oncol. 2023. PMID: 36396062 Free article.
86 results