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
2002 2
2003 1
2004 2
2007 2
2008 2
2009 5
2010 4
2011 4
2012 4
2013 6
2014 2
2015 2
2016 4
2017 7
2018 5
2019 2
2020 5
2021 12
2022 6
2023 7
2024 3

Text availability

Article attribute

Article type

Publication date

Search Results

77 results

Results by year

Filters applied: . Clear all
Page 1
Improved breast cancer histological grading using deep learning.
Wang Y, Acs B, Robertson S, Liu B, Solorzano L, Wählby C, Hartman J, Rantalainen M. Wang Y, et al. Among authors: wahlby c. Ann Oncol. 2022 Jan;33(1):89-98. doi: 10.1016/j.annonc.2021.09.007. Epub 2021 Sep 29. Ann Oncol. 2022. PMID: 34756513 Free article.
A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung.
Sountoulidis A, Marco Salas S, Braun E, Avenel C, Bergenstråhle J, Theelke J, Vicari M, Czarnewski P, Liontos A, Abalo X, Andrusivová Ž, Mirzazadeh R, Asp M, Li X, Hu L, Sariyar S, Martinez Casals A, Ayoglu B, Firsova A, Michaëlsson J, Lundberg E, Wählby C, Sundström E, Linnarsson S, Lundeberg J, Nilsson M, Samakovlis C. Sountoulidis A, et al. Among authors: wahlby c. Nat Cell Biol. 2023 Feb;25(2):351-365. doi: 10.1038/s41556-022-01064-x. Epub 2023 Jan 16. Nat Cell Biol. 2023. PMID: 36646791 Free PMC article.
Deep Fish.
Ishaq O, Sadanandan SK, Wählby C. Ishaq O, et al. Among authors: wahlby c. SLAS Discov. 2017 Jan;22(1):102-107. doi: 10.1177/1087057116667894. Epub 2016 Sep 26. SLAS Discov. 2017. PMID: 27613194 Free article.
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.
Ström P, Kartasalo K, Olsson H, Solorzano L, Delahunt B, Berney DM, Bostwick DG, Evans AJ, Grignon DJ, Humphrey PA, Iczkowski KA, Kench JG, Kristiansen G, van der Kwast TH, Leite KRM, McKenney JK, Oxley J, Pan CC, Samaratunga H, Srigley JR, Takahashi H, Tsuzuki T, Varma M, Zhou M, Lindberg J, Lindskog C, Ruusuvuori P, Wählby C, Grönberg H, Rantalainen M, Egevad L, Eklund M. Ström P, et al. Among authors: wahlby c. Lancet Oncol. 2020 Feb;21(2):222-232. doi: 10.1016/S1470-2045(19)30738-7. Epub 2020 Jan 8. Lancet Oncol. 2020. PMID: 31926806
Spatial Statistics for Understanding Tissue Organization.
Behanova A, Klemm A, Wählby C. Behanova A, et al. Among authors: wahlby c. Front Physiol. 2022 Jan 28;13:832417. doi: 10.3389/fphys.2022.832417. eCollection 2022. Front Physiol. 2022. PMID: 35153840 Free PMC article. Review.
Deep Learning in Image Cytometry: A Review.
Gupta A, Harrison PJ, Wieslander H, Pielawski N, Kartasalo K, Partel G, Solorzano L, Suveer A, Klemm AH, Spjuth O, Sintorn IM, Wählby C. Gupta A, et al. Among authors: wahlby c. Cytometry A. 2019 Apr;95(4):366-380. doi: 10.1002/cyto.a.23701. Epub 2018 Dec 19. Cytometry A. 2019. PMID: 30565841 Free PMC article. Review.
Next-generation pathology--surveillance of tumor microecology.
Koos B, Kamali-Moghaddam M, David L, Sobrinho-Simões M, Dimberg A, Nilsson M, Wählby C, Söderberg O. Koos B, et al. Among authors: wahlby c. J Mol Biol. 2015 Jun 5;427(11):2013-22. doi: 10.1016/j.jmb.2015.02.017. Epub 2015 Feb 26. J Mol Biol. 2015. PMID: 25725260 Free article. Review.
Roadmap on Deep Learning for Microscopy.
Volpe G, Wählby C, Tian L, Hecht M, Yakimovich A, Monakhova K, Waller L, Sbalzarini IF, Metzler CA, Xie M, Zhang K, Lenton ICD, Rubinsztein-Dunlop H, Brunner D, Bai B, Ozcan A, Midtvedt D, Wang H, Sladoje N, Lindblad J, Smith JT, Ochoa M, Barroso M, Intes X, Qiu T, Yu LY, You S, Liu Y, Ziatdinov MA, Kalinin SV, Sheridan A, Manor U, Nehme E, Goldenberg O, Shechtman Y, Moberg HK, Langhammer C, Špačková B, Helgadottir S, Midtvedt B, Argun A, Thalheim T, Cichos F, Bo S, Hubatsch L, Pineda J, Manzo C, Bachimanchi H, Selander E, Homs-Corbera A, Fränzl M, de Haan K, Rivenson Y, Korczak Z, Adiels CB, Mijalkov M, Veréb D, Chang YW, Pereira JB, Matuszewski D, Kylberg G, Sintorn IM, Caicedo JC, Cimini BA, Bell MAL, Saraiva BM, Jacquemet G, Henriques R, Ouyang W, Le T, Gómez-de-Mariscal E, Sage D, Muñoz-Barrutia A, Lindqvist EJ, Bergman J. Volpe G, et al. Among authors: wahlby c. ArXiv [Preprint]. 2023 Mar 7:arXiv:2303.03793v1. ArXiv. 2023. PMID: 36945686 Free PMC article. Preprint.
Deep-learning models for lipid nanoparticle-based drug delivery.
Harrison PJ, Wieslander H, Sabirsh A, Karlsson J, Malmsjö V, Hellander A, Wählby C, Spjuth O. Harrison PJ, et al. Among authors: wahlby c. Nanomedicine (Lond). 2021 Jun;16(13):1097-1110. doi: 10.2217/nnm-2020-0461. Epub 2021 May 5. Nanomedicine (Lond). 2021. PMID: 33949890 Free article.
77 results