| Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections C Wählby, IM Sintorn, F Erlandsson, G Borgefors, E Bengtsson Journal of microscopy 215 (1), 67-76, 2004 | 454 | 2004 |
| Deep learning in image cytometry: a review A Gupta, PJ Harrison, H Wieslander, N Pielawski, K Kartasalo, G Partel, ... Cytometry Part A 95 (4), 366-380, 2019 | 202 | 2019 |
| Mechanochemical polarization of contiguous cell walls shapes plant pavement cells M Majda, P Grones, IM Sintorn, T Vain, P Milani, P Krupinski, ... Developmental cell 43 (3), 290-304. e4, 2017 | 145 | 2017 |
| Evaluation of noise robustness for local binary pattern descriptors in texture classification G Kylberg, IM Sintorn EURASIP Journal on Image and Video Processing 2013, 1-20, 2013 | 114 | 2013 |
| Virus texture analysis using local binary patterns and radial density profiles G Kylberg, M Uppström, IM Sintorn Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2011 | 69 | 2011 |
| Asymmetric supercapacitors based on carbon nanofibre and polypyrrole/nanocellulose composite electrodes P Tammela, Z Wang, S Frykstrand, P Zhang, IM Sintorn, L Nyholm, ... RSC advances 5 (21), 16405-16413, 2015 | 67 | 2015 |
| Segmentation of virus particle candidates in transmission electron microscopy images G Kylberg, M Uppström, KO HEDLUND, G Borgefors, IM SINTORN Journal of microscopy 245 (2), 140-147, 2012 | 62 | 2012 |
| A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images IM Sintorn, M Homman-Loudiyi, C Söderberg-Nauclér, G Borgefors Computer methods and programs in biomedicine 76 (2), 95-102, 2004 | 45 | 2004 |
| Tripeptide interference with human immunodeficiency virus type 1 morphogenesis S Höglund, J Su, SS Reneby, A Végvári, S Hjertén, IM Sintorn, H Foster, ... Antimicrobial agents and chemotherapy 46 (11), 3597-3605, 2002 | 45 | 2002 |
| Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images DJ Matuszewski, IM Sintorn Computer methods and programs in biomedicine 178, 31-39, 2019 | 42 | 2019 |
| Minimal annotation training for segmentation of microscopy images DJ Matuszewski, IM Sintorn 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 39 | 2018 |
| TEM virus images: Benchmark dataset and deep learning classification DJ Matuszewski, IM Sintorn Computer Methods and Programs in Biomedicine 209, 106318, 2021 | 37 | 2021 |
| Weighted distance transforms for volume images digitized in elongated voxel grids IM Sintorn, G Borgefors Pattern Recognition Letters 25 (5), 571-580, 2004 | 37 | 2004 |
| Conventional analysis of movement on non-flat surfaces like the plasma membrane makes Brownian motion appear anomalous J Adler, IM Sintorn, R Strand, I Parmryd Communications biology 2 (1), 12, 2019 | 25 | 2019 |
| Gradient based intensity normalization IM Sintorn, L Bischof, P Jackway, S Haggarty, M Buckley Journal of microscopy 240 (3), 249-258, 2010 | 25 | 2010 |
| Improving the stochastic watershed KB Bernander, K Gustavsson, B Selig, IM Sintorn, CLL Hendriks Pattern Recognition Letters 34 (9), 993-1000, 2013 | 24 | 2013 |
| Case-specific potentiation of glioblastoma drugs by pterostilbene L Schmidt, S Baskaran, P Johansson, N Padhan, D Matuszewski, ... Oncotarget 7 (45), 73200, 2016 | 23 | 2016 |
| Roadmap on deep learning for microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | 21 | 2023 |
| Weighted distance transforms in rectangular grids IM Sintorn, G Borgefors Proceedings 11th International Conference on Image Analysis and Processing …, 2001 | 21 | 2001 |
| The link between gliomas infiltration and white matter architecture investigated with electron microscopy and diffusion tensor imaging F Latini, M Fahlström, A Beháňová, IM Sintorn, M Hodik, K Staxäng, ... NeuroImage: Clinical 31, 102735, 2021 | 20 | 2021 |