Claes Lundström - Concepedia

Author

Claes Lundström

Also Known As

C Lundström, C Lundstrøm, C. Lundstrom, C. Lundström, CLAES LUNDSTRÖM, Claes F. Lundström, Claes Lundstrom, Claes Lundström, Lundstrom, Claes, Lundström, C.

Publications

Citations

H-Index

Concepts

All Affiliations

Linköping University Sectra (Sweden)Chalmers University of Technology Leeds Teaching Hospitals NHS Trust Linköping University Hospital

About

Claes Lundström is an author at Linköping University specializing in radiology, engineering, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	14	896
2	Health Sciences	8	8	434
3	Medicine	7	7	456
4	Education	1	1	24
5	Management	1	1	25

Claes Lundström

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
Measuring Domain Shift for Deep Learning in Histopathology Karin Stacke, Gabriel Eilertsen, Jonas Unger, IEEE Journal of Biomedical and Health Informatics Convolutional Neural NetworkEngineeringMachine LearningDigital PathologyAutoencoders	2020	255
Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 Sten Thorstenson, Jesper Molin, Claes Lundström Journal of Pathology Informatics	2014	175
Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation Claes Lundström, Patric Ljung, Anders Persson, IEEE Transactions on Visualization and Computer Graphics Direct Volume RenderingReal-time VisualizationEngineeringComputer Graphic TechniqueImage Analysis	2007	136
Local Histograms for Design of Transfer Functions in Direct Volume Rendering Claes Lundström, Patric Ljung, Anders Ynnerman IEEE Transactions on Visualization and Computer Graphics Direct Volume RenderingRealistic RenderingEngineeringDigital PathologyComputer-aided Design	2006	127
Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal Jakub Olczak, John Pavlopoulos, Jasper Prijs, Acta Orthopaedica	2021	126
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results Henning Höfener, André Homeyer, Nick Weiss, Computerized Medical Imaging and Graphics	2018	90
Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline Patric Ljung, Calle Winskog, Anders Persson, IEEE Transactions on Visualization and Computer Graphics	2006	80
Towards grading gleason score using generically trained deep convolutional neural networks H.L.A. van der Kallen, Jesper Molin, Anders Heyden, Convolutional Neural NetworkEngineeringMachine LearningDigital PathologyNatural Language Processing	2016	71
Multi-Touch Table System for Medical Visualization: Application to Orthopedic Surgery Planning Claes Lundström, Thomas Rydell, Camilla Forsell, IEEE Transactions on Visualization and Computer Graphics Medical TechnologyVisualization (Graphics)Multi-touch Table SystemSurgeryVisualization Table	2011	67
Transfer function based adaptive decompression for volume rendering of large medical data sets Patric Ljung, Claes Lundström, Anders Ynnerman, Symposium on Volume Visualization Lossy CompressionEngineeringAdaptive DecompressionVolume ParameterizationImage Analysis	2004	48

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