Takip et
Pekka Ruusuvuori
Pekka Ruusuvuori
University of Turku
utu.fi üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
33932017
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ...
Nature methods 10 (3), 228-238, 2013
6852013
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
5712020
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine 28 (1), 154-163, 2022
4302022
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
2782007
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
1662013
ANHIR: automatic non-rigid histological image registration challenge
J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ...
IEEE transactions on medical imaging 39 (10), 3042-3052, 2020
1492020
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
1372009
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, 1-17, 2010
1152010
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
1102010
Simulation of microarray data with realistic characteristics
M Nykter, T Aho, M Ahdesmäki, P Ruusuvuori, A Lehmussola, O Yli-Harja
BMC bioinformatics 7, 1-17, 2006
992006
Evaluating the performance of microarray segmentation algorithms
A Lehmussola, P Ruusuvuori, O Yli-Harja
Bioinformatics 22 (23), 2910-2917, 2006
692006
Cytokeratin-supervised deep learning for automatic recognition of epithelial cells in breast cancers stained for ER, PR, and Ki-67
M Valkonen, J Isola, O Ylinen, V Muhonen, A Saxlin, T Tolonen, M Nykter, ...
IEEE transactions on medical imaging 39 (2), 534-542, 2019
652019
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression–morphology analysis in breast cancer
Y Wang, K Kartasalo, P Weitz, B Acs, M Valkonen, C Larsson, ...
Cancer research 81 (19), 5115-5126, 2021
642021
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
H Olsson, K Kartasalo, N Mulliqi, M Capuccini, P Ruusuvuori, ...
Nature communications 13 (1), 7761, 2022
622022
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
612017
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
562008
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
542008
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
502016
Comparative analysis of tissue reconstruction algorithms for 3D histology
K Kartasalo, L Latonen, J Vihinen, T Visakorpi, M Nykter, P Ruusuvuori
Bioinformatics 34 (17), 3013-3021, 2018
472018
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Makaleler 1–20