Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Ata de Congresso
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Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsiesKartasalo, K. ; Bulten, W. ; Chen, P-H.C. ; Ström, P. ; Pinckaers, H. ; Nagpal, K. ; Ruusuvuori, P. ; Litjens, G. ; Eklund, M.EUROPEAN UROLOGY, 2022, Vol.81, p.S913 [Periódico revisado por pares]Texto completo disponível |
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2 |
Material Type: Artigo
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Computational Framework for Simulating Fluorescence Microscope Images With Cell PopulationsLehmussola, A. ; Ruusuvuori, P. ; Selinummi, J. ; Huttunen, H. ; Yli-Harja, O.IEEE transactions on medical imaging, 2007-07, Vol.26 (7), p.1010-1016United States: IEEETexto completo disponível |
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3 |
Material Type: Ata de Congresso
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A robust artificial intelligence approach for histopathological evaluation of prostate biopsiesMulliqi, N. ; Kartasalo, K. ; Ji, X. ; Szolnoky, K. ; Olsson, H. ; Blilie, A. ; Braun, M. ; Gambacorta, M. ; Hotakainen, K. ; Janssen, E.A.M. ; Kjosavik, S.R. ; Łowicki, R. ; Pedersen, B.G. ; Sørensen, K.D. ; Ulhøi, B.P. ; Ruusuvuori, P. ; Egevad, L. ; Eklund, M.EUROPEAN UROLOGY, 2022, Vol.81, p.S915-S916 [Periódico revisado por pares]Texto completo disponível |
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4 |
Material Type: Artigo
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712 Processing of stacked histological tissue sections in digital pathologyRuusuvuori, P ; Nykter, M ; Latonen, LEuropean journal of cancer (1990), 2015-09, Vol.51, p.S131-S131 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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5 |
Material Type: Artigo
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2519 Role of miR-32 in prostate cancerLatonen, L ; Saravilli, M ; Zhang, F ; Ruusuvuori, P ; Poutanen, M ; Visakorpi, TEuropean journal of cancer (1990), 2015-09, Vol.51, p.S480-S481 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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6 |
Material Type: Artigo
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Synthetic Images of High-Throughput Microscopy for Validation of Image Analysis MethodsLehmussola, Antti ; Ruusuvuori, Pekka ; Selinummi, Jyrki ; Rajala, Tiina ; Yli-Harja, OlliProceedings of the IEEE, 2008-08, Vol.96 (8), p.1348-1360 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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7 |
Material Type: Artigo
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Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast CancerWang, Yinxi ; Kartasalo, Kimmo ; Weitz, Philippe ; Ács, Balázs ; Valkonen, Masi ; Larsson, Christer ; Ruusuvuori, Pekka ; Hartman, Johan ; Rantalainen, MattiasCancer research (Chicago, Ill.), 2021-10, Vol.81 (19), p.5115-5126 [Periódico revisado por pares]United States: American Association for Cancer ResearchTexto completo disponível |
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8 |
Material Type: Artigo
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Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal predictionOlsson, Henrik ; Kartasalo, Kimmo ; Mulliqi, Nita ; Capuccini, Marco ; Ruusuvuori, Pekka ; Samaratunga, Hemamali ; Delahunt, Brett ; Lindskog, Cecilia ; Janssen, Emiel A M ; Blilie, Anders ; Egevad, Lars ; Spjuth, Ola ; Eklund, MartinNature communications, 2022-12, Vol.13 (1), p.7761-7761, Article 7761 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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9 |
Material Type: Artigo
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Detection of perineural invasion in prostate needle biopsies with deep neural networksKartasalo, Kimmo ; Ström, Peter ; Ruusuvuori, Pekka ; Samaratunga, Hemamali ; Delahunt, Brett ; Tsuzuki, Toyonori ; Eklund, Martin ; Egevad, LarsVirchows Archiv : an international journal of pathology, 2022-07, Vol.481 (1), p.73-82 [Periódico revisado por pares]Berlin/Heidelberg: Springer Berlin HeidelbergTexto completo disponível |
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10 |
Material Type: Artigo
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OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathologyMulliqi, Nita ; Kartasalo, Kimmo ; Olsson, Henrik ; Ji, Xiaoyi ; Egevad, Lars ; Eklund, Martin ; Ruusuvuori, Pekka Vitek, OlgaBioinformatics (Oxford, England), 2021-11, Vol.37 (21), p.3995-3997 [Periódico revisado por pares]England: Oxford University PressTexto completo disponível |