| Data-analysis strategies for image-based cell profiling JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ... Nature methods 14 (9), 849-863, 2017 | 839 | 2017 |
| nucleAIzer: a parameter-free deep learning framework for nucleus segmentation using image style transfer R Hollandi, A Szkalisity, T Toth, E Tasnadi, C Molnar, B Mathe, I Grexa, ... Cell systems 10 (5), 453-458. e6, 2020 | 298* | 2020 |
| BioImageXD: an open, general-purpose and high-throughput image-processing platform P Kankaanpää, L Paavolainen, S Tiitta, M Karjalainen, J Päivärinne, ... Nature methods 9 (7), 683-689, 2012 | 251 | 2012 |
| Association of tamoxifen resistance and lipid reprogramming in breast cancer S Hultsch, M Kankainen, L Paavolainen, RM Kovanen, E Ikonen, ... BMC cancer 18 (1), 850, 2018 | 202 | 2018 |
| Systems pathology by multiplexed immunohistochemistry and whole-slide digital image analysis S Blom, L Paavolainen, D Bychkov, R Turkki, P Mäki-Teeri, A Hemmes, ... Scientific reports 7 (1), 15580, 2017 | 200 | 2017 |
| Comprehensive drug testing of patient-derived conditionally reprogrammed cells from castration-resistant prostate cancer K Saeed, V Rahkama, S Eldfors, D Bychkov, JP Mpindi, B Yadav, ... European urology 71 (3), 319-327, 2017 | 109 | 2017 |
| Advanced cell classifier: user-friendly machine-learning-based software for discovering phenotypes in high-content imaging data F Piccinini, T Balassa, A Szkalisity, C Molnar, L Paavolainen, K Kujala, ... Cell systems 4 (6), 651-655. e5, 2017 | 105 | 2017 |
| Intelligent image-based in situ single-cell isolation C Brasko, K Smith, C Molnar, N Farago, L Hegedus, A Balind, T Balassa, ... Nature communications 9 (1), 226, 2018 | 102 | 2018 |
| Nucleus segmentation: towards automated solutions R Hollandi, N Moshkov, L Paavolainen, E Tasnadi, F Piccinini, P Horvath Trends in Cell Biology 32 (4), 295-310, 2022 | 93 | 2022 |
| ADC measurements in diffuse large B-cell lymphoma and follicular lymphoma: a DWI and cellularity study X Wu, H Pertovaara, P Dastidar, M Vornanen, L Paavolainen, ... European journal of radiology 82 (4), e158-e164, 2013 | 90 | 2013 |
| A functional genetic screen defines the AKT-induced senescence signaling network KT Chan, S Blake, H Zhu, J Kang, AS Trigos, PB Madhamshettiwar, ... Cell Death & Differentiation 27 (2), 725-741, 2020 | 78 | 2020 |
| Fibroblast subsets in non-small cell lung cancer: associations with survival, mutations, and immune features T Pellinen, L Paavolainen, A Martín-Bernabé, R Papatella Araujo, C Strell, ... JNCI: Journal of the National Cancer Institute 115 (1), 71-82, 2023 | 63 | 2023 |
| UNC-45a promotes myosin folding and stress fiber assembly JI Lehtimäki, AM Fenix, TM Kotila, G Balistreri, L Paavolainen, ... Journal of Cell Biology 216 (12), 4053-4072, 2017 | 58 | 2017 |
| N-and O-methylation of sphingomyelin markedly affects its membrane properties and interactions with cholesterol A Björkbom, T Róg, P Kankaanpää, D Lindroos, K Kaszuba, M Kurita, ... Biochimica et Biophysica Acta (BBA)-Biomembranes 1808 (4), 1179-1186, 2011 | 50 | 2011 |
| BIAFLOWS: A collaborative framework to reproducibly deploy and benchmark bioimage analysis workflows U Rubens, R Mormont, L Paavolainen, V Bäcker, B Pavie, LA Scholz, ... Patterns 1 (3), 2020 | 46 | 2020 |
| Compensation of missing wedge effects with sequential statistical reconstruction in electron tomography L Paavolainen, E Acar, U Tuna, S Peltonen, T Moriya, P Soonsawad, ... PloS one 9 (10), e108978, 2014 | 43 | 2014 |
| Calpains promote α2β1 integrin turnover in nonrecycling integrin pathway N Rintanen, M Karjalainen, J Alanko, L Paavolainen, A Mäki, L Nissinen, ... Molecular biology of the cell 23 (3), 448-463, 2012 | 42 | 2012 |
| Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients O Brück, MH Lee, R Turkki, I Uski, P Penttilä, L Paavolainen, P Kovanen, ... Modern Pathology 34 (12), 2229-2241, 2021 | 41 | 2021 |
| Automatic detection and analysis of cell motility in phase‐contrast time‐lapse images using a combination of maximally stable extremal regions and Kalman filter approaches M Kaakinen, S Huttunen, L Paavolainen, V Marjomäki, J Heikkilä, ... Journal of Microscopy 253 (1), 65-78, 2014 | 30 | 2014 |
| Comparison of two supporting matrices for patient-derived cancer cells in 3D drug sensitivity and resistance testing assay (3D-DSRT) M Feodoroff, P Mikkonen, L Turunen, A Hassinen, L Paasonen, ... SLAS discovery 28 (4), 138-148, 2023 | 18 | 2023 |
Peter HorvathSzeged, Helsinki, ETH Zurich, INRIA, Sophia AntipolisVerified email at brc.hu
