| 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 | 2966 | 2017 |
| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ... Nature methods 10 (3), 228-238, 2013 | 653 | 2013 |
| 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 | 486 | 2020 |
| 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 | 288 | 2022 |
| 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 | 266 | 2007 |
| 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 | 166 | 2013 |
| 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 | 124 | 2009 |
| 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 | 121 | 2020 |
| 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 | 111 | 2010 |
| 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 | 109 | 2010 |
| Simulation of microarray data with realistic characteristics M Nykter, T Aho, M Ahdesmäki, P Ruusuvuori, A Lehmussola, O Yli-Harja BMC bioinformatics 7, 1-17, 2006 | 97 | 2006 |
| Evaluating the performance of microarray segmentation algorithms A Lehmussola, P Ruusuvuori, O Yli-Harja Bioinformatics 22 (23), 2910-2917, 2006 | 69 | 2006 |
| 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 | 56 | 2017 |
| 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 | 55 | 2019 |
| 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 | 55 | 2008 |
| 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 | 51 | 2008 |
| 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 | 49 | 2021 |
| 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 | 48 | 2018 |
| 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 | 48 | 2016 |
| 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 | 45 | 2006 |
Olli Yli-HarjaTampere University, Faculty of Medicine and Health Technology在 tuni.fi 的电子邮件经过验证
