Ida-Maria Sintorn
Ida-Maria Sintorn
Dept. IT, Uppsala University & Vironova AB
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Minimal annotation training for segmentation of microscopy images
DJ Matuszewski, IM Sintorn
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Weighted distance transforms for volume images digitized in elongated voxel grids
IM Sintorn, G Borgefors
Pattern Recognition Letters 25 (5), 571-580, 2004
TEM virus images: Benchmark dataset and deep learning classification
DJ Matuszewski, IM Sintorn
Computer Methods and Programs in Biomedicine 209, 106318, 2021
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
Improving the stochastic watershed
KB Bernander, K Gustavsson, B Selig, IM Sintorn, CLL Hendriks
Pattern Recognition Letters 34 (9), 993-1000, 2013
Gradient based intensity normalization
IM Sintorn, L Bischof, P Jackway, S Haggarty, M Buckley
Journal of microscopy 240 (3), 249-258, 2010
Case-specific potentiation of glioblastoma drugs by pterostilbene
L Schmidt, S Baskaran, P Johansson, N Padhan, D Matuszewski, ...
Oncotarget 7 (45), 73200, 2016
Weighted distance transforms in rectangular grids
IM Sintorn, G Borgefors
Proceedings 11th International Conference on Image Analysis and Processing …, 2001
Super-resolution reconstruction of transmission electron microscopy images using deep learning
A Suveer, A Gupta, G Kylberg, IM Sintorn
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
On the influence of interpolation method on rotation invariance in texture recognition
G Kylberg, IM Sintorn
EURASIP Journal on Image and Video Processing 2016, 1-12, 2016
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