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

70 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Prostate Cancer Risk Prediction Model Using Clinical and Magnetic Resonance Imaging-Related Findings: Impact of Combining Lesions' Locations and Apparent Diffusion Coefficient Values.
Nakai H, Takahashi H, LeGout JD, Kawashima A, Froemming AT, Klug JR, Korfiatis P, Lomas DJ, Humphreys MR, Dora C, Takahashi N. Nakai H, et al. Among authors: korfiatis p. J Comput Assist Tomogr. 2024 Nov 13. doi: 10.1097/RCT.0000000000001679. Online ahead of print. J Comput Assist Tomogr. 2024. PMID: 39761466
Association Between Body Composition Measured by Artificial Intelligence and Long-Term Sequelae After Acute Pancreatitis.
Cortés P, Mistretta T, Jackson B, Olson CG, Salih AM, Stancampiano FF, Korfiatis P, Klug JR, Harris DM, Echols J, Carter RE, Ji B, Hardway HD, Wallace MB, Kumbhari V, Bi Y. Cortés P, et al. Among authors: korfiatis p. Dig Dis Sci. 2024 Nov;69(11):4290-4301. doi: 10.1007/s10620-024-08684-3. Epub 2024 Oct 22. Dig Dis Sci. 2024. PMID: 39438414
Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.
Kuanar S, Cai J, Nakai H, Nagayama H, Takahashi H, LeGout J, Kawashima A, Froemming A, Mynderse L, Dora C, Humphreys M, Klug J, Korfiatis P, Erickson B, Takahashi N. Kuanar S, et al. Among authors: korfiatis p. Abdom Radiol (NY). 2024 Oct;49(10):3722-3734. doi: 10.1007/s00261-024-04301-z. Epub 2024 Jun 19. Abdom Radiol (NY). 2024. PMID: 38896250
Natural language processing pipeline to extract prostate cancer-related information from clinical notes.
Nakai H, Suman G, Adamo DA, Navin PJ, Bookwalter CA, LeGout JD, Chen FK, Wellnitz CV, Silva AC, Thomas JV, Kawashima A, Fan JW, Froemming AT, Lomas DJ, Humphreys MR, Dora C, Korfiatis P, Takahashi N. Nakai H, et al. Among authors: korfiatis p. Eur Radiol. 2024 Dec;34(12):7878-7891. doi: 10.1007/s00330-024-10812-6. Epub 2024 Jun 6. Eur Radiol. 2024. PMID: 38842692
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods.
Mukherjee S, Korfiatis P, Patnam NG, Trivedi KH, Karbhari A, Suman G, Fletcher JG, Goenka AH. Mukherjee S, et al. Among authors: korfiatis p. Abdom Radiol (NY). 2024 Mar;49(3):964-974. doi: 10.1007/s00261-023-04127-1. Epub 2024 Jan 4. Abdom Radiol (NY). 2024. PMID: 38175255
70 results