Publications

Publications produced by researchers at the Centre for Image Analysis are listed below.

Most Recent Publications

• Two Polynomial Time Graph Labeling Algorithms Optimizing Max-Norm-Based Objective Functions. Filip Malmberg and Krzysztof Chris Ciesielski Ciesielski. In Journal of Mathematical Imaging and Vision, volume 62, number 5, pp 737-750, 2020. (DOI).
• A fast instance selection method for support vector machines in building extraction. Mohammad Aslani and Stefan Seipel. In Applied Soft Computing, volume 0, pp 1-14, 2020. (DOI, Fulltext).
• Assessing Damage – Can the Crowd Interpret Colour and 3D Information?. Gaëlle Seffers, Juia Åhlén, Stefan Seipel, and Kristien Ooms. In Cartographic Journal, volume 0, pp 1-14, 2020. (DOI).
• Uncovering hidden reasoning of convolutional neural networks in biomedical image classification by using attribution methods. Nadezhda Koriakina, Natasa Sladoje, Elisabeth Wetzer, and Joakim Lindblad. In , 2020.
• RayCaching: Amortized Isosurface Rendering for Virtual Reality. Fredrik Nysjö, Filip Malmberg, and Ingela Nyström. In Computer graphics forum (Print), volume 39, number 1, pp 220-230, 2020. (DOI, Fulltext, fulltext:print).
• Oral Cancer Detection:: A Comparison of Texture Focused Deep Learning Approaches. Jo Gay, Hugo Harlin, Elisabeth Wetzer, Joakim Lindblad, and Natasa Sladoje. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA), 2019. (External link).
• Bioimage Data Analysis Workflows. Kota Miura and Natasa Sladoje (eds). Learning Materials in Biosciences, Springer, 2019. (DOI, Fulltext, fulltext).
• On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. Tomáš Majtner, Buda Baji?, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, and Esmaeil S. Nadimi. In Scandinavian Conference on Image Analysis: SCIA 2019, volume 11482 of Lecture Notes in Computer Science, pp 439-451, 2019. (DOI, External link).
• Texture-based oral cancer detection: A performance analysis of deep learning approaches.. Jo Gay, Hugo Harlin, Elisabeth Wetzer, Joakim Lindblad, and Natasa Sladoje. In 3rd NEUBIAS Conference, Luxembourg, 2019.
• Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes. Nadezhda Koriakina, Natasa Sladoje, Ewert Bengtsson, Eva Darai Ramqvist, Jan M. Hirsch, Christina Runow Stark, and Joakim Lindblad. In 3rd NEUBIAS Conference, Luxembourg, 2-8 February 2019, 2019.

Find More Publications

• Publications 2000 and onward (Coming)
• Publications 1988 - 1999 (Coming)