| The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning N Koriakina, N Sladoje, J Lindblad 2021 12th International Symposium on Image and Signal Processing and …, 2021 | 7 | 2021 |
| Evaluation of coherence-based beamforming for B-mode and speckle tracking echocardiography P Santos, N Koriakina, B Chakraborty, J Pedrosa, AM Petrescu, JU Voigt, ... 2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018 | 7 | 2018 |
| End-to-end multiple instance learning with gradient accumulation A Andersson, N Koriakina, N Sladoje, J Lindblad 2022 IEEE International Conference on Big Data (Big Data), 2742-2746, 2022 | 5 | 2022 |
| Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning N Koriakina, N Sladoje, V Bašić, J Lindblad arXiv preprint arXiv:2202.01783, 2022 | 5 | 2022 |
| Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes N Koriakina, N Sladoje, E Bengtsson, ED Ramqvist, JM Hirsch, ... 3rd NEUBIAS Conference, Luxembourg, 2-8 February 2019, 2019 | 1 | 2019 |
| Phase coherence beamforming to enhance myocardial speckle tracking performance P Santos, N Koriakina, B Chakraborty, J Pedrosa, V Komini, J D'hooge Ultrasonics Symposium (IUS), 2017 IEEE International, 2017 | 1 | 2017 |
| Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection. Koriakina N, Sladoje N, Bašić V, Lindblad J PLoS ONE 19, 2024 | | 2024 |
| Uncovering hidden reasoning of convolutional neural networks in biomedical image classification by using attribution methods N Koriakina, N Sladoje, E Wetzer, J Lindblad The 4th Network of European BioImage Analysts (NEUBIAS) conference, Bordeaux …, 2020 | | 2020 |
Joakim LindbladProfessor of Computerized Image Processing, Uppsala University, SwedenVerified email at cb.uu.se
