Joakim Lindblad
Joakim Lindblad
Professor of Computerized Image Processing, Uppsala University, Sweden
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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
Robust cell image segmentation methods
E Bengtsson, C Wahlby, J Lindblad
Pattern Recognition and Image Analysis c/c of Raspoznavaniye Obrazov I …, 2004
Surface area estimation of digitized 3D objects using weighted local configurations
J Lindblad
Image and Vision Computing 23 (2), 111-122, 2005
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
Effects of aging and gender on the spatial organization of nuclei in single human skeletal muscle cells
A Cristea, R Qaisar, PK Edlund, J Lindblad, E Bengtsson, L Larsson
Aging cell 9 (5), 685-697, 2010
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
Myonuclear domain size and myosin isoform expression in muscle fibres from mammals representing a 100 000‐fold difference in body size
JX Liu, AS Höglund, P Karlsson, J Lindblad, R Qaisar, S Aare, ...
Experimental physiology 94 (1), 117-129, 2009
CoMIR: Contrastive multimodal image representation for registration
N Pielawski, E Wetzer, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje
Advances in neural information processing systems 33, 18433-18444, 2020
High-precision boundary length estimation by utilizing gray-level information
N Sladoje, J Lindblad
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 357-363, 2008
Estimation of Feret’s diameter from pixel coverage representation of a shape
S Dražić, N Sladoje, J Lindblad
Pattern Recognition Letters 80, 37-45, 2016
Fast and robust symmetric image registration based on distances combining intensity and spatial information
J Öfverstedt, J Lindblad, N Sladoje
IEEE Transactions on Image Processing 28 (7), 3584-3597, 2019
A graph-based framework for sub-pixel image segmentation
F Malmberg, J Lindblad, N Sladoje, I Nyström
Theoretical Computer Science 412 (15), 1338-1349, 2011
Linear time distances between fuzzy sets with applications to pattern matching and classification
J Lindblad, N Sladoje
IEEE Transactions on Image Processing 23 (1), 126-136, 2013
A comparison of methods for estimation of intensity non uniformities in 2D and 3D microscope images of fluorescence stained cells
J Lindblad, E Bengtsson
Proceedings of the Scandinavian Conference On Image Analysis, 264-271, 2001
A deep learning based pipeline for efficient oral cancer screening on whole slide images
J Lu, N Sladoje, C Runow Stark, E Darai Ramqvist, JM Hirsch, J Lindblad
International Conference on Image Analysis and Recognition, 249-261, 2020
Extracting 3D information on bone remodeling in the proximity of titanium implants in SRμCT image volumes
H Sarve, J Lindblad, G Borgefors, CB Johansson
Computer Methods and Programs in Biomedicine 102 (1), 25-34, 2011
Surface area estimation of digitized 3D objects using local computations
J Lindblad, I Nyström
Discrete Geometry for Computer Imagery: 10th International Conference, DGCI …, 2002
Sub-pixel segmentation with the image foresting transform
F Malmberg, J Lindblad, I Nyström
Combinatorial Image Analysis: 13th International Workshop, IWCIA 2009, Playa …, 2009
Ensemble of convolutional neural networks for dermoscopic images classification
T Majtner, B Bajić, S Yildirim, JY Hardeberg, J Lindblad, N Sladoje
arXiv preprint arXiv:1808.05071, 2018
Role of fibre–fibre and fibre–matrix adhesion in stress transfer in composites made from resin-impregnated paper sheets
KM Almgren, EK Gamstedt, P Nygård, F Malmberg, J Lindblad, ...
International Journal of Adhesion and Adhesives 29 (5), 551-557, 2009
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