Carolina Wählby
Carolina Wählby
Professor of Quantitative Microscopy, SciLifeLab and Dept. IT, Uppsala University, Sweden
Verified email at - Homepage
Cited by
Cited by
In situ sequencing for RNA analysis in preserved tissue and cells
R Ke, M Mignardi, A Pacureanu, J Svedlund, J Botling, C Wählby, ...
Nature methods 10 (9), 857-860, 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
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
In situ detection of phosphorylated platelet-derived growth factor receptor β using a generalized proximity ligation method
M Jarvius, J Paulsson, I Weibrecht, KJ Leuchowius, AC Andersson, ...
Molecular & cellular proteomics 6 (9), 1500-1509, 2007
Algorithms for cytoplasm segmentation of fluorescence labelled cells
C Wählby, J Lindblad, M Vondrus, E Bengtsson, L Björkesten
Analytical Cellular Pathology 24 (2-3), 101-111, 2002
Pseudomonas aeruginosa disrupts Caenorhabditis elegans iron homeostasis, causing a hypoxic response and death
NV Kirienko, DR Kirienko, J Larkins-Ford, C Wählby, G Ruvkun, ...
Cell host & microbe 13 (4), 406-416, 2013
An image analysis toolbox for high-throughput C. elegans assays
C Wählby, L Kamentsky, ZH Liu, T Riklin-Raviv, AL Conery, EJ O'rourke, ...
Nature methods 9 (7), 714-716, 2012
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
Automated training of deep convolutional neural networks for cell segmentation
SK Sadanandan, P Ranefall, S Le Guyader, C Wählby
Scientific reports 7 (1), 7860, 2017
BlobFinder, a tool for fluorescence microscopy image cytometry
A Allalou, C Wählby
Computer methods and programs in biomedicine 94 (1), 58-65, 2009
A comprehensive structural, biochemical and biological profiling of the human NUDIX hydrolase family
J Carreras-Puigvert, M Zitnik, AS Jemth, M Carter, JE Unterlass, ...
Nature communications 8 (1), 1541, 2017
Fully automated cellular-resolution vertebrate screening platform with parallel animal processing
TY Chang, C Pardo-Martin, A Allalou, C Wählby, MF Yanik
Lab on a Chip 12 (4), 711-716, 2012
Robust cell image segmentation methods
E Bengtsson, C Wahlby, J Lindblad
Pattern Recognition and Image Analysis c/c of Raspoznavaniye Obrazov I …, 2004
Sequential immunofluorescence staining and image analysis for detection of large numbers of antigens in individual cell nuclei
C Wählby, F Erlandsson, E Bengtsson, A Zetterberg
Cytometry: The Journal of the International Society for Analytical Cytology …, 2002
Image analysis for automatic segmentation of cytoplasms and classification of Rac1 activation
J Lindblad, C Wählby, E Bengtsson, A Zaltsman
Cytometry Part A: the journal of the International Society for Analytical …, 2004
Improved breast cancer histological grading using deep learning
Y Wang, B Acs, S Robertson, B Liu, L Solorzano, C Wählby, J Hartman, ...
Annals of Oncology 33 (1), 89-98, 2022
Blind color decomposition of histological images
M Gavrilovic, JC Azar, J Lindblad, C Wählby, E Bengtsson, C Busch, ...
IEEE transactions on medical imaging 32 (6), 983-994, 2013
High-throughput hyperdimensional vertebrate phenotyping
C Pardo-Martin, A Allalou, J Medina, PM Eimon, C Wählby, M Fatih Yanik
Nature communications 4 (1), 1467, 2013
Deep convolutional neural networks for detecting cellular changes due to malignancy
H Wieslander, G Forslid, E Bengtsson, C Wahlby, JM Hirsch, ...
Proceedings of the IEEE international conference on computer vision …, 2017
High-and low-throughput scoring of fat mass and body fat distribution in C. elegans
C Wählby, AL Conery, MA Bray, L Kamentsky, J Larkins-Ford, ...
Methods 68 (3), 492-499, 2014
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