Year |
Citation |
Score |
2020 |
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, ... ... Ruusuvuori P, et al. Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study. The Lancet. Oncology. PMID 31926806 DOI: 10.1016/S1470-2045(19)30738-7 |
0.313 |
|
2020 |
Valkonen M, Isola J, Ylinen O, Muhonen V, Saxlin A, Tolonen T, Nykter M, Ruusuvuori P. Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67 Ieee Transactions On Medical Imaging. 39: 534-542. PMID 31398111 DOI: 10.1109/Tmi.2019.2933656 |
0.363 |
|
2019 |
Eerola SK, Santio NM, Rinne S, Kouvonen P, Corthals GL, Scaravilli M, Scala G, Serra A, Greco D, Ruusuvuori P, Latonen L, Rainio E, Visakorpi T, Koskinen PJ. Phosphorylation of NFATC1 at PIM1 target sites is essential for its ability to promote prostate cancer cell migration and invasion Cell Communication and Signaling. 17: 1-16. PMID 31730483 DOI: 10.1186/S12964-019-0463-Y |
0.321 |
|
2019 |
Liimatainen K, Kananen L, Latonen L, Ruusuvuori P. Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks. Bmc Bioinformatics. 20: 80. PMID 30767778 DOI: 10.1186/S12859-019-2605-Z |
0.315 |
|
2019 |
Ruusuvuori P, Kartasalo K, Valkonen M, Valkonen M, Visakorpi T, Nykter M, Latonen L. Abstract 46: 3D reconstruction and quantitative analysis of histology for prostate cancer Cancer Research. 79: 46-46. DOI: 10.1158/1538-7445.Am2019-46 |
0.384 |
|
2018 |
Kartasalo K, Latonen L, Vihinen J, Visakorpi T, Nykter M, Ruusuvuori P. Comparative analysis of tissue reconstruction algorithms for 3D histology. Bioinformatics. 34: 3013-3021. PMID 29684099 DOI: 10.1093/Bioinformatics/Bty210 |
0.33 |
|
2017 |
Valkonen M, Kartasalo K, Liimatainen K, Nykter M, Latonen L, Ruusuvuori P. Metastasis detection from whole slide images using local features and random forests. Cytometry Part A. 91: 555-565. PMID 28426134 DOI: 10.1002/Cyto.A.23089 |
0.402 |
|
2017 |
Valkonen M, Ruusuvuori P, Kartasalo K, Nykter M, Visakorpi T, Latonen L. Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models Scientific Reports. 7: 44831. PMID 28317907 DOI: 10.1038/Srep44831 |
0.379 |
|
2016 |
Ulman V, Svoboda D, Nykter M, Kozubek M, Ruusuvuori P. Virtual cell imaging: A review on simulation methods employed in image cytometry. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 27922735 DOI: 10.1002/Cyto.A.23031 |
0.371 |
|
2016 |
Ruusuvuori P, Valkonen M, Nykter M, Visakorpi T, Latonen L. Feature-based analysis of mouse prostatic intraepithelial neoplasia in histological tissue sections Journal of Pathology Informatics. 7: 5-5. PMID 26955503 DOI: 10.4103/2153-3539.175378 |
0.366 |
|
2015 |
Hassan SS, Ruusuvuori P, Latonen L, Huttunen H. Flow Cytometry-Based Classification in Cancer Research: A View on Feature Selection Cancer Informatics. 14: 75-85. PMID 27081305 DOI: 10.4137/Cin.S30795 |
0.302 |
|
2015 |
Annala M, Kivinummi K, Tuominen J, Karakurt S, Granberg K, Latonen L, Ylipää A, Sjöblom L, Ruusuvuori P, Saramäki O, Kaukoniemi KM, Yli-Harja O, Vessella RL, Tammela TL, Zhang W, et al. Recurrent SKIL-activating rearrangements in ETS-negative prostate cancer. Oncotarget. 6: 6235-50. PMID 25749039 DOI: 10.18632/Oncotarget.3359 |
0.307 |
|
2014 |
Ruusuvuori P, Paavolainen L, Rutanen K, Mäki A, Huttunen H, Marjomäki V. Quantitative analysis of dynamic association in live biological fluorescent samples. Plos One. 9: e94245. PMID 24728133 DOI: 10.1371/Journal.Pone.0094245 |
0.361 |
|
2014 |
Ruusuvuori P, Lin J, Scott AC, Tan Z, Sorsa S, Kallio A, Nykter M, Yli-Harja O, Shmulevich I, Dudley AM. Quantitative analysis of colony morphology in yeast. Biotechniques. 56: 18-27. PMID 24447135 DOI: 10.2144/000114123 |
0.364 |
|
2013 |
Farhan M, Ruusuvuori P, Emmenlauer M, Rämö P, Dehio C, Yli-Harja O. Multi-scale Gaussian representation and outline-learning based cell image segmentation. Bmc Bioinformatics. 14: S6. PMID 24267488 DOI: 10.1186/1471-2105-14-S10-S6 |
0.398 |
|
2013 |
Farhan M, Ruusuvuori P, Emmenlauer M, Rämö P, Yli-Harja O, Dehio C. Graph cut and image intensity-based splitting improves nuclei segmentation in high-content screening Proceedings of Spie. 8655. DOI: 10.1117/12.2003243 |
0.36 |
|
2010 |
Erkkilä T, Lehmusvaara S, Ruusuvuori P, Visakorpi T, Shmulevich I, Lähdesmäki H. Probabilistic analysis of gene expression measurements from heterogeneous tissues. Bioinformatics (Oxford, England). 26: 2571-7. PMID 20631160 DOI: 10.1093/Bioinformatics/Btq406 |
0.307 |
|
2010 |
Ruusuvuori P, Aijö T, Chowdhury S, Garmendia-Torres C, Selinummi J, Birbaumer M, Dudley AM, Pelkmans L, Yli-Harja O. Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images. Bmc Bioinformatics. 11: 248. PMID 20465797 DOI: 10.1186/1471-2105-11-248 |
0.357 |
|
2010 |
Ruusuvuori P, Äijö T, Chowdhury S, Garmendia-Torres C, Selinummi J, Birbaumer M, Dudley AM, Pelkmans L, Yli-Harja O. Research article Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images Bmc Bioinformatics. 11: 248. DOI: 10.3929/Ethz-B-000021654 |
0.308 |
|
2007 |
Niemistö A, Nykter M, Aho T, Jalovaara H, Marjanen K, Ahdesmäki M, Ruusuvuori P, Tiainen M, Linne ML, Yli-Harja O. Computational methods for estimation of cell cycle phase distributions of yeast cells. Eurasip Journal On Bioinformatics & Systems Biology. 46150. PMID 18354733 DOI: 10.1155/2007/46150 |
0.335 |
|
2007 |
Lehmussola A, Ruusuvuori P, Selinummi J, Huttunen H, Yli-Harja O. Computational framework for simulating fluorescence microscope images with cell populations. Ieee Transactions On Medical Imaging. 26: 1010-6. PMID 17649914 DOI: 10.1109/Tmi.2007.896925 |
0.366 |
|
2006 |
Lehmussola A, Ruusuvuori P, Yli-Harja O. Evaluating the performance of microarray segmentation algorithms. Bioinformatics (Oxford, England). 22: 2910-7. PMID 17032673 DOI: 10.1093/Bioinformatics/Btl502 |
0.313 |
|
2005 |
Ruusuvuori P, Lehmussola A, Yli-Harja O. Learning-based method for spot addressing in microarray images Proceedings of Spie - the International Society For Optical Engineering. 5672: 416-425. DOI: 10.1117/12.596494 |
0.374 |
|
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