Nadezhda Koriakina

Towards robust bubble detection in diverse microphysiological systems by machine learning

Koriakina, Nadezhda; Sladoje, Nataša; Tenje, Maria; Johansson, Sofia

2025

Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Koriakina, Nadezhda; Sladoje, Nataša; Basic, Vladimir; Lindblad, Joakim

Ingår i PLOS ONE, 2024

• DOI för Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection
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Deep Learning and Explainable Artificial Intelligence for Biomedical Applications: Methods for Cytology-based Cancer Detection

Koriakina, Nadezhda

2024

• Ladda ner fulltext (pdf) av Deep Learning and Explainable Artificial Intelligence for Biomedical Applications: Methods for Cytology-based Cancer Detection

End-to-end Multiple Instance Learning with Gradient Accumulation

Andersson, Axel; Koriakina, Nadezhda; Sladoje, Nataša; Lindblad, Joakim

Ingår i 2022 IEEE International Conference on Big Data (Big Data), s. 2742-2746, 2022

• DOI för End-to-end Multiple Instance Learning with Gradient Accumulation

The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

Koriakina, Nadezhda; Sladoje, Natasa; Lindblad, Joakim

Ingår i Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis (ISPA), s. 183-188, 2021

• DOI för The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Koriakina, Nadezhda; Sladoje, Nataša; Basic, Vladimir; Lindblad, Joakim

Ingår i PLOS ONE, 2024

• DOI för Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection
• Ladda ner fulltext (pdf) av Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Deep Learning and Explainable Artificial Intelligence for Biomedical Applications: Methods for Cytology-based Cancer Detection

Koriakina, Nadezhda

2024

• Ladda ner fulltext (pdf) av Deep Learning and Explainable Artificial Intelligence for Biomedical Applications: Methods for Cytology-based Cancer Detection

Towards robust bubble detection in diverse microphysiological systems by machine learning

Koriakina, Nadezhda; Sladoje, Nataša; Tenje, Maria; Johansson, Sofia

2025

End-to-end Multiple Instance Learning with Gradient Accumulation

Andersson, Axel; Koriakina, Nadezhda; Sladoje, Nataša; Lindblad, Joakim

Ingår i 2022 IEEE International Conference on Big Data (Big Data), s. 2742-2746, 2022

• DOI för End-to-end Multiple Instance Learning with Gradient Accumulation

The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

Koriakina, Nadezhda; Sladoje, Natasa; Lindblad, Joakim

Ingår i Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis (ISPA), s. 183-188, 2021

• DOI för The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

Uncovering hidden reasoning of convolutional neural networks in biomedical image classification by using attribution methods

Koriakina, Nadezhda; Sladoje, Natasa; Wetzer, Elisabeth; Lindblad, Joakim

Ingår i 4th NEUBIAS Conference, Bordeaux, France, 2020

Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes

Koriakina, Nadezhda; Sladoje, Natasa; Bengtsson, Ewert; Ramqvist, Eva Darai et al.

Ingår i 3rd NEUBIAS Conference, Luxembourg, 2-8 February 2019, 2019

Sensitive key instance detection: Helping a cytotechnologist to find a needle in a haystack

Koriakina, Nadezhda; Sladoje, Nataša; Basic, Vladimir; Lindblad, Joakim