Huttunen H - Search Results

1

Leukemia prediction using sparse logistic regression.

Manninen T, Huttunen H, Ruusuvuori P, Nykter M. Manninen T, et al. Among authors: huttunen h. PLoS One. 2013 Aug 30;8(8):e72932. doi: 10.1371/journal.pone.0072932. eCollection 2013. PLoS One. 2013. PMID: 24023658 Free PMC article.

2

Computational framework for simulating fluorescence microscope images with cell populations.

Lehmussola A, Ruusuvuori P, Selinummi J, Huttunen H, Yli-Harja O. Lehmussola A, et al. Among authors: huttunen h. IEEE Trans Med Imaging. 2007 Jul;26(7):1010-6. doi: 10.1109/TMI.2007.896925. IEEE Trans Med Imaging. 2007. PMID: 17649914

3

Quantitative analysis of dynamic association in live biological fluorescent samples.

Ruusuvuori P, Paavolainen L, Rutanen K, Mäki A, Huttunen H, Marjomäki V. Ruusuvuori P, et al. Among authors: huttunen h. PLoS One. 2014 Apr 11;9(4):e94245. doi: 10.1371/journal.pone.0094245. eCollection 2014. PLoS One. 2014. PMID: 24728133 Free PMC article.

4

Flow Cytometry-Based Classification in Cancer Research: A View on Feature Selection.

Hassan SS, Ruusuvuori P, Latonen L, Huttunen H. Hassan SS, et al. Among authors: huttunen h. Cancer Inform. 2016 Apr 10;14(Suppl 5):75-85. doi: 10.4137/CIN.S30795. eCollection 2015. Cancer Inform. 2016. PMID: 27081305 Free PMC article.

5

Effects of latanoprost in iris bioidentification.

Lamminen H, Voipio V, Manninen T, Huttunen H. Lamminen H, et al. Among authors: huttunen h. Acta Ophthalmol. 2009 Aug;87(5):529-31. doi: 10.1111/j.1755-3768.2008.01496.x. Epub 2009 Apr 27. Acta Ophthalmol. 2009. PMID: 19432874 Free article.

6

Three-dimensional digital image analysis of immunostained neurons in thick tissue sections.

Selinummi J, Ruusuvuori P, Lehmussola A, Huttunen H, Yli-Harja O, Miettinen R. Selinummi J, et al. Among authors: huttunen h. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:4783-6. doi: 10.1109/IEMBS.2006.259419. Conf Proc IEEE Eng Med Biol Soc. 2006. PMID: 17946263

7

Critical assessment of automated flow cytometry data analysis techniques.

Aghaeepour N, Finak G; FlowCAP Consortium; DREAM Consortium; Hoos H, Mosmann TR, Brinkman R, Gottardo R, Scheuermann RH. Aghaeepour N, et al. Nat Methods. 2013 Mar;10(3):228-38. doi: 10.1038/nmeth.2365. Epub 2013 Feb 10. Nat Methods. 2013. PMID: 23396282 Free PMC article.

8

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J; Alzheimer's Disease Neuroimaging Initiative. Moradi E, et al. Among authors: huttunen h. Neuroimage. 2015 Jan 1;104:398-412. doi: 10.1016/j.neuroimage.2014.10.002. Epub 2014 Oct 12. Neuroimage. 2015. PMID: 25312773 Free PMC article.

9

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.

Tohka J, Moradi E, Huttunen H; Alzheimer’s Disease Neuroimaging Initiative. Tohka J, et al. Among authors: huttunen h. Neuroinformatics. 2016 Jul;14(3):279-96. doi: 10.1007/s12021-015-9292-3. Neuroinformatics. 2016. PMID: 26803769

10

Robust detection of periodic time series measured from biological systems.

Ahdesmäki M, Lähdesmäki H, Pearson R, Huttunen H, Yli-Harja O. Ahdesmäki M, et al. Among authors: huttunen h. BMC Bioinformatics. 2005 May 13;6:117. doi: 10.1186/1471-2105-6-117. BMC Bioinformatics. 2005. PMID: 15892890 Free PMC article.

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