| 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 | 67 | 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 | 58 | 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 | 57 | 2019 |
| 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 |
| Measurements of digitized objects with fuzzy borders in 2D and 3D N Sladoje, I Nyström, PK Saha Image and Vision Computing 23 (2), 123-132, 2005 | 57 | 2005 |
| 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 | 54 | 2013 |
| 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 | 37 | 2020 |
| BIAFLOWS: A collaborative framework to reproducibly deploy and benchmark bioimage analysis workflows U Rubens, R Mormont, L Paavolainen, V Bäcker, B Pavie, LA Scholz, ... Patterns 1 (3), 2020 | 36 | 2020 |
| Efficiency of characterizing ellipses and ellipsoids by discrete moments J Zunic, N Sladoje IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (4), 407-414, 2000 | 36 | 2000 |
| Shape signatures of fuzzy star-shaped sets based on distance from the centroid J Chanussot, I Nyström, N Sladoje Pattern Recognition Letters 26 (6), 735-746, 2005 | 34 | 2005 |
| Bioimage data analysis workflows K Miura, N Sladoje Springer Nature, 2020 | 31 | 2020 |
| Estimation of moments of digitized objects with fuzzy borders N Sladoje, J Lindblad Image Analysis and Processing–ICIAP 2005: 13th International Conference …, 2005 | 27 | 2005 |
| 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 | 26 | 2018 |
| Pixel coverage segmentation for improved feature estimation N Sladoje, J Lindblad Image Analysis and Processing–ICIAP 2009: 15th International Conference …, 2009 | 26 | 2009 |
| Blind restoration of images degraded with mixed Poisson-Gaussian noise with application in transmission electron microscopy B Bajić, J Lindblad, N Sladoje 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 123-127, 2016 | 24 | 2016 |
| Defuzzification of spatial fuzzy sets by feature distance minimization N Sladoje, J Lindblad, I Nyström Image and Vision Computing 29 (2-3), 127-141, 2011 | 24 | 2011 |
| 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 | 22* | 2022 |
| Regularized image denoising based on spectral gradient optimization T Lukić, J Lindblad, N Sladoje Inverse Problems 27 (8), 085010, 2011 | 20 | 2011 |
| Perimeter and area estimations of digitized objects with fuzzy borders N Sladoje, I Nyström, PK Saha Discrete Geometry for Computer Imagery: 11th International Conference, DGCI …, 2003 | 20 | 2003 |
Joakim LindbladProfessor of Computerized Image Processing, Uppsala University, Sweden在 cb.uu.se 的电子邮件经过验证
