Joakim Lindblad

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Nataša SladojeProfessor in Computerized Image Analysis, Uppsala University, SwedenEmail confirmado em it.uu.se
Ewert Bengtssonprofessor emeritus in digital image analysis at Uppsala UniversityEmail confirmado em cb.uu.se
Carolina WählbyProfessor of Quantitative Microscopy, SciLifeLab and Dept. IT, Uppsala University, SwedenEmail confirmado em it.uu.se
Johan ÖfverstedtUppsala University, SwedenEmail confirmado em uu.se
Elisabeth WetzerUiT The Arctic University of NorwayEmail confirmado em uit.no
Hamid SarveCentre for Image AnalysisEmail confirmado em cb.uu.se
Filip MalmbergUppsala UniversityEmail confirmado em it.uu.se
Gunilla BorgeforsProfessor Emerita, Image Processing, Uppsala UniversityEmail confirmado em it.uu.se
Ingela NyströmProfessor in Visualization, Centre for Image Analysis, Dept. of Information Technology, UppsalaEmail confirmado em it.uu.se
Buda BajićFaculty of Technical Sciences, University of Novi SadEmail confirmado em uns.ac.rs
Jan-Michaél HirschProfessor emeritus of Oral and Maxillofacial Surgery Uppsala UniversityEmail confirmado em akademiska.se
lennart bjorkestenSenior consultant RealTime DesignEmail confirmado em realtimedesign.se
Nicolas PielawskiUppsala UniversityEmail confirmado em it.uu.se
Milan GavrilovicPhD, Uppsala Univ, and MSc EE, Belgrade Univ.Email confirmado em ieee.org
Ida-Maria SintornDept. IT, Uppsala University & Vironova ABEmail confirmado em vironova.com
Attila TanácsUniversity of SzegedEmail confirmado em inf.u-szeged.hu
Amit SuveerNordicVision AI (self-employed)Email confirmado em nordicvision.ai
Tibor Lukic (ORCID: 0000-0003-1536-...Full Professor of Theoretical and Applied Mathematics, University of Novi SadEmail confirmado em uns.ac.rs
Vladimir CuricLead Engineer - Machine Learning/AI, KlarnaEmail confirmado em klarna.com
Kristofer GamstedtProfessor, Applied Mechanics, Uppsala UniversityEmail confirmado em angstrom.uu.se

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Joakim Lindblad

Professor of Computerized Image Processing, Uppsala University, Sweden

Email confirmado em cb.uu.se - Página inicial

image analysis pattern recognition quantitative microscopy deep learning explainable artificial intelligence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	212	2002
Robust cell image segmentation methods E Bengtsson, C Wahlby, J Lindblad Pattern Recognition and Image Analysis c/c of Raspoznavaniye Obrazov I …, 2004	128	2004
Surface area estimation of digitized 3D objects using weighted local configurations J Lindblad Image and Vision Computing 23 (2), 111-122, 2005	117	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	112	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	106	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	105	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	88	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	85	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	63	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	61	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	59	2019
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	57	2013
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	57	2011
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	52	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	45	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	39	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	37	2002
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	30	2018
Sub-pixel segmentation with the image foresting transform F Malmberg, J Lindblad, I Nyström Combinatorial Image Analysis: 13th International Workshop, IWCIA 2009, Playa …, 2009	30	2009
Is image-to-image translation the panacea for multimodal image registration? A comparative study J Lu, J Öfverstedt, J Lindblad, N Sladoje Plos one 17 (11), e0276196, 2022	28*	2022

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