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 NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2019 5
2020 2
2021 1
2022 2
2023 3
2024 0

Text availability

Article attribute

Article type

Publication date

Search Results

11 results

Results by year

Filters applied: . Clear all
Page 1
Ultrasound guidance in minimally invasive robotic procedures.
Antico M, Sasazawa F, Wu L, Jaiprakash A, Roberts J, Crawford R, Pandey AK, Fontanarosa D. Antico M, et al. Med Image Anal. 2019 May;54:149-167. doi: 10.1016/j.media.2019.01.002. Epub 2019 Jan 11. Med Image Anal. 2019. PMID: 30928829 Review.
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images.
Vukovic D, Wang A, Antico M, Steffens M, Ruvinov I, van Sloun RJ, Canty D, Royse A, Royse C, Haji K, Dowling J, Chetty G, Fontanarosa D. Vukovic D, et al. Among authors: antico m. BMC Med Inform Decis Mak. 2023 Nov 29;23(1):274. doi: 10.1186/s12911-023-02362-6. BMC Med Inform Decis Mak. 2023. PMID: 38031040 Free PMC article.
Segmentation of Femoral Cartilage from Knee Ultrasound Images Using Mask R-CNN.
Kompella G, Antico M, Sasazawa F, Jeevakala S, Ram K, Fontanarosa D, Pandey AK, Sivaprakasam M. Kompella G, et al. Among authors: antico m. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:966-969. doi: 10.1109/EMBC.2019.8857645. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946054
Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy.
Antico M, Vukovic D, Camps SM, Sasazawa F, Takeda Y, Le ATH, Jaiprakash AT, Roberts J, Crawford R, Fontanarosa D, Carneiro G. Antico M, et al. IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Dec;67(12):2543-2552. doi: 10.1109/TUFFC.2020.2965291. Epub 2020 Nov 24. IEEE Trans Ultrason Ferroelectr Freq Control. 2020. PMID: 31944954
11 results