Claes Lundström

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Anders YnnermanLinköping UniversityVerified email at liu.se
Patric LjungLinköping UniversityVerified email at liu.se
Anders PerssonProfessor CMIV Linköpings universitetVerified email at cmiv.liu.se
Jesper MolinResercher in Digital PathologyVerified email at chalmers.se
Darren TreanorLeeds Teaching Hospitals Trust, University of Leeds, Linköping UniversityVerified email at nhs.net
Hans KnutssonProfessor of medical informaticsVerified email at liu.se
Daniel ForsbergSenior Research Scientist, Sectra ABVerified email at sectra.com
Gabriel EilertsenLinköping UniversityVerified email at liu.se
Morten FjeldProfessor of CS/HCI; Chalmers (S) and Bergen (N)Verified email at chalmers.se
Karin StackeLinköping UniversityVerified email at liu.se
Horst Karl HahnInstitute Director, Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, GermanyVerified email at mevis.fraunhofer.de
Calle WinskogA/Prof. University of AdelaideVerified email at adelaide.edu.au
Martin LindvallPh.D. Student, Linköping UniversityVerified email at liu.se
Jonas UngerProfessor, division for Media and Information Technology, Linköping University, SwedenVerified email at liu.se
Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerified email at maths.lth.se
Anders HeydenProfessor in Mathematics, Lund UniversityVerified email at maths.lth.se
Nils DahlströmÖverläkare, universitetslektor, CMIV Linköpings universitetVerified email at liu.se
Martin FalkScientific Visualization Group, Linköping UniversityVerified email at liu.se
Hans TroppProfessor OrthopaedicsVerified email at regionostergotland.se
Örjan SmedbyProfessor of Medical image processing and visualization, KTH Royal Institute of TechnologyVerified email at kth.se

Claes Lundström

Center for Medical Image Science and Visualization, Linköping University

Verified email at liu.se - Homepage

Visualization medical imaging AI pathology radiology


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Uncertainty visualization in medical volume rendering using probabilistic animation C Lundström, P Ljung, A Persson, A Ynnerman IEEE transactions on visualization and computer graphics 13 (6), 1648-1655, 2007	171	2007
Local histograms for design of transfer functions in direct volume rendering C Lundstrom, P Ljung, A Ynnerman IEEE Transactions on visualization and computer graphics 12 (6), 1570-1579, 2006	150	2006
Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 S Thorstenson, J Molin, C Lundström Journal of pathology informatics 5 (1), 14, 2014	141	2014
Full body virtual autopsies using a state-of-the-art volume rendering pipeline P Ljung, C Winskog, A Persson, C Lundström, A Ynnerman Visualization and Computer Graphics, IEEE Transactions on 12 (5), 869-876, 2006	94	2006
Multi-touch table system for medical visualization: application to orthopedic surgery planning C Lundstrom, T Rydell, C Forsell, A Persson, A Ynnerman Visualization and Computer Graphics, IEEE Transactions on 17 (12), 1775-1784, 2011	93	2011
Transfer function based adaptive decompression for volume rendering of large medical data sets P Ljung, C Lundstrom, A Ynnerman, K Museth Volume Visualization and Graphics, 2004 IEEE Symposium on, 25-32, 2004	84	2004
Multiresolution interblock interpolation in direct volume rendering P Ljung, C Lundström, A Ynnerman Proceedings of the Eighth Joint Eurographics/IEEE VGTC conference on …, 2006	63	2006
State‐of‐the‐art of visualization in post‐mortem imaging C Lundström, A Persson, S Ross, P Ljung, S Lindholm, F Gyllensvärd, ... Apmis 120 (4), 316-326, 2012	52	2012
Towards grading gleason score using generically trained deep convolutional neural networks H Källén, J Molin, A Heyden, C Lundström, K Åström Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 1163-1167, 2016	50	2016
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results H Höfener, A Homeyer, N Weiss, J Molin, CF Lundström, HK Hahn Computerized Medical Imaging and Graphics 70, 43-52, 2018	47	2018
The a-histogram: Using Spatial Coherence to Enhance Histograms and Transfer Function Design C Lundström, A Ynnerman, P Ljung, A Persson, H Knutsson Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization, 2006	39*	2006
Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms. C Lundström, P Ljung, A Ynnerman EuroVis, 263-270, 2005	35	2005
Fully automatic measurements of axial vertebral rotation for assessment of spinal deformity in idiopathic scoliosis D Forsberg, C Lundström, M Andersson, L Vavruch, H Tropp, H Knutsson Physics in Medicine and Biology 58 (6), 1775, 2013	33	2013
A closer look at domain shift for deep learning in histopathology K Stacke, G Eilertsen, J Unger, C Lundström arXiv preprint arXiv:1909.11575, 2019	27	2019
Spatial conditioning of transfer functions using local material distributions S Lindholm, P Ljung, C Lundstrom, A Persson, A Ynnerman Visualization and Computer Graphics, IEEE Transactions on 16 (6), 1301-1310, 2010	24	2010
Integrated Diagnostics: The Computational Revolution Catalyzing Cross-disciplinary Practices in Radiology, Pathology, and Genomics CF Lundström, HL Gilmore, PR Ros Radiology 285 (1), 12-15, 2017	21	2017
Model-based registration for assessment of spinal deformities in idiopathic scoliosis D Forsberg, C Lundström, M Andersson, H Knutsson Physics in medicine and biology 59 (2), 311, 2013	17	2013
A comparative study of input devices for digital slide navigation J Molin, C Lundström, M Fjeld Journal of Pathology Informatics 6 (1), 2015	16	2015
Multi-dimensional transfer function design using sorted histograms C Lundström, P Ljung, A Ynnerman Proceedings Eurographics/IEEE International Workshop on Volume Graphics 2006 …, 2006	15	2006
Segmentation of medical image volumes C Lundström Linköping, 1997	15	1997

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