| Measuring domain shift for deep learning in histopathology K Stacke, G Eilertsen, J Unger, C Lundström IEEE journal of biomedical and health informatics 25 (2), 325-336, 2020 | 201 | 2020 |
| 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 | 197 | 2007 |
| 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 | 195 | 2014 |
| 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 | 166 | 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 | 108 | 2011 |
| 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 | 101 | 2006 |
| 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 | 97 | 2018 |
| 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 | 94 | 2004 |
| 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 | 88 | 2016 |
| Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a … J Olczak, J Pavlopoulos, J Prijs, FFA Ijpma, JN Doornberg, C Lundström, ... Acta orthopaedica 92 (5), 513-525, 2021 | 78 | 2021 |
| 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 | 77 | 2019 |
| Multiresolution interblock interpolation in direct volume rendering P Ljung, C Lundström, A Ynnerman Proceedings of the Eighth Joint Eurographics/IEEE VGTC conference on …, 2006 | 70 | 2006 |
| Survey of XAI in digital pathology M Pocevièiūtė, G Eilertsen, C Lundström Artificial intelligence and machine learning for digital pathology: state-of …, 2020 | 63 | 2020 |
| 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 | 63 | 2012 |
| 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 | 45 | 2013 |
| 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 | 42* | 2006 |
| 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 | 41 | 2017 |
| Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms. C Lundström, P Ljung, A Ynnerman EuroVis, 263-270, 2005 | 34 | 2005 |
| Annotations, ontologies, and whole slide images–Development of an annotated ontology-driven whole slide image library of normal and abnormal human tissue K Lindman, JF Rose, M Lindvall, C Lundstrom, D Treanor Journal of Pathology Informatics 10 (1), 22, 2019 | 33 | 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 | 28 | 2010 |
Anders YnnermanLinköping UniversityVerified email at liu.se
