| Representing local structure using tensors II H Knutsson, CF Westin, M Andersson Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011 | 555 | 2011 |
| Generating patient specific pseudo-CT of the head from MR using atlas-based regression J Sjölund, D Forsberg, M Andersson, H Knutsson Physics in Medicine & Biology 60 (2), 825, 2015 | 171 | 2015 |
| Does parametric fMRI analysis with SPM yield valid results?—An empirical study of 1484 rest datasets A Eklund, M Andersson, C Josephson, M Johannesson, H Knutsson NeuroImage 61 (3), 565-578, 2012 | 142 | 2012 |
| Morphons: Segmentation using elastic canvas and paint on priors H Knutsson, M Andersson IEEE International Conference on Image Processing 2005 2, II-1226, 2005 | 126 | 2005 |
| Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score OJ del Toro, M Atzori, S Otálora, M Andersson, K Eurén, M Hedlund, ... Medical Imaging 2017: Digital Pathology 10140, 165-173, 2017 | 92 | 2017 |
| Adaptive filtering K Andersson, J Samuelsson, C Priddle, P Frojdh, R Sjoberg US Patent 8,576,906, 2013 | 88 | 2013 |
| Analysis of histopathology images: From traditional machine learning to deep learning O Jimenez-del-Toro, S Otálora, M Andersson, K Eurén, M Hedlund, ... Biomedical texture analysis, 281-314, 2017 | 84 | 2017 |
| Advanced filter design H Knutsson, M Andersson, J Wiklund SCIA, 1999 | 77 | 1999 |
| Phase-based multidimensional volume registration M Hemmendorff, MT Andersson, T Kronander, H Knutsson IEEE Transactions on Medical Imaging 21 (12), 1536-1543, 2002 | 70 | 2002 |
| fMRI analysis on the GPU—Possibilities and challenges A Eklund, M Andersson, H Knutsson Computer methods and programs in biomedicine 105 (2), 145-161, 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 & Biology 58 (6), 1775, 2013 | 47 | 2013 |
| Controllable multi-dimensional filters and models in low-level computer vision MT Andersson Linköping University Electronic Press, 1992 | 42 | 1992 |
| Controllable multi-dimensional filters and models in low-level computer vision MT Andersson Linköping University Electronic Press, 1992 | 42 | 1992 |
| Multi-resolution networks for semantic segmentation in whole slide images F Gu, N Burlutskiy, M Andersson, LK Wilén Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 37 | 2018 |
| Fast random permutation tests enable objective evaluation of methods for single-subject fMRI analysis A Eklund, M Andersson, H Knutsson International journal of biomedical imaging 2011, 2011 | 36 | 2011 |
| Morphons: Paint on priors and elastic canvas for segmentation and registration H Knutsson, M Andersson Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005 | 35 | 2005 |
| Using real-time fMRI to control a dynamical system by brain activity classification A Eklund, H Ohlsson, M Andersson, J Rydell, A Ynnerman, H Knutsson Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 34 | 2009 |
| Determination of the mastoid surface area and volume based on micro-CT scanning of human temporal bones. Geometrical parameters depend on scanning resolutions O Cros, H Knutsson, M Andersson, E Pawels, M Borga, M Gaihede Hearing Research 340, 127-134, 2016 | 31 | 2016 |
| Deep brain stimulation of the pallidum internum for Gilles de la Tourette syndrome: a patient-specific model-based simulation study of the electric field K Wårdell, Z Kefalopoulou, E Diczfalusy, M Andersson, M Åström, ... Neuromodulation: Technology at the Neural Interface 18 (2), 90-96, 2015 | 31 | 2015 |
| Phase based volume registration using CUDA A Eklund, M Andersson, H Knutsson 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 31 | 2010 |
