Pekka Ruusuvuori
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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ...
Nature methods 10 (3), 228-238, 2013
Computational framework for simulating fluorescence microscope images with cell populations
A Lehmussola, P Ruusuvuori, J Selinummi, H Huttunen, O Yli-Harja
IEEE transactions on medical imaging 26 (7), 1010-1016, 2007
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study
P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ...
The Lancet Oncology 21 (2), 222-232, 2020
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment
F Briggs, Y Huang, R Raich, K Eftaxias, Z Lei, W Cukierski, SF Hadley, ...
2013 IEEE international workshop on machine learning for signal processing …, 2013
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
P Ruusuvuori, T Äijö, S Chowdhury, C Garmendia-Torres, J Selinummi, ...
BMC bioinformatics 11 (1), 1-17, 2010
Bright field microscopy as an alternative to whole cell fluorescence in automated analysis of macrophage images
J Selinummi, P Ruusuvuori, I Podolsky, A Ozinsky, E Gold, O Yli-Harja, ...
PloS one 4 (10), e7497, 2009
Probabilistic analysis of gene expression measurements from heterogeneous tissues
T Erkkilä, S Lehmusvaara, P Ruusuvuori, T Visakorpi, I Shmulevich, ...
Bioinformatics 26 (20), 2571-2577, 2010
Simulation of microarray data with realistic characteristics
M Nykter, T Aho, M Ahdesmäki, P Ruusuvuori, A Lehmussola, O Yli-Harja
BMC bioinformatics 7 (1), 1-17, 2006
Evaluating the performance of microarray segmentation algorithms
A Lehmussola, P Ruusuvuori, O Yli-Harja
Bioinformatics 22 (23), 2910-2917, 2006
Benchmark set of synthetic images for validating cell image analysis algorithms
P Ruusuvuori, A Lehmussola, J Selinummi, T Rajala, H Huttunen, ...
2008 16th European Signal Processing Conference, 1-5, 2008
Simulating fluorescent microscope images of cell populations
A Lehmussola, J Selinummi, P Ruusuvuori, A Niemisto, O Yli-Harja
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 3153-3156, 2006
Synthetic images of high-throughput microscopy for validation of image analysis methods
A Lehmussola, P Ruusuvuori, J Selinummi, T Rajala, O Yli-Harja
Proceedings of the IEEE 96 (8), 1348-1360, 2008
Identity verification based on vessel matching from fundus images
H Oinonen, H Forsvik, P Ruusuvuori, O Yli-Harja, V Voipio, H Huttunen
2010 IEEE International Conference on Image Processing, 4089-4092, 2010
Metastasis detection from whole slide images using local features and random forests
M Valkonen, K Kartasalo, K Liimatainen, M Nykter, L Latonen, ...
Cytometry Part A 91 (6), 555-565, 2017
Leukemia prediction using sparse logistic regression
T Manninen, H Huttunen, P Ruusuvuori, M Nykter
PloS one 8 (8), e72932, 2013
Pathologist-level grading of prostate biopsies with artificial intelligence
P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ...
arXiv preprint arXiv:1907.01368, 2019
Virtual cell imaging: A review on simulation methods employed in image cytometry
V Ulman, D Svoboda, M Nykter, M Kozubek, P Ruusuvuori
Cytometry Part A 89 (12), 1057-1072, 2016
Recurrent SKIL-activating rearrangements in ETS-negative prostate cancer
M Annala, K Kivinummi, J Tuominen, S Karakurt, K Granberg, L Latonen, ...
Oncotarget 6 (8), 6235, 2015
Bioactive Acellular Implant Induces Angiogenesis and Adipogenesis and Sustained Soft Tissue Restoration In Vivo
JR Sarkanen, P Ruusuvuori, H Kuokkanen, T Paavonen, T Ylikomi
Tissue Engineering Part A 18 (23-24), 2568-2580, 2012
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