| DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification F Prezja, J Paloneva, I Pölönen, E Niinimäki, S Äyrämö Nature Scientific Reports 12 (1), 1-16, 2022 | 24 | 2022 |
| Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions F Prezja, S Äyrämö, I Pölönen, T Ojala, S Lahtinen, P Ruusuvuori, ... Nature Scientific Reports 13 (1), 15879, 2023 | 8 | 2023 |
| H&E multi-laboratory staining variance exploration with machine learning F Prezja, I Pölönen, S Äyrämö, P Ruusuvuori, T Kuopio Applied Sciences 12 (15), 7511, 2022 | 7 | 2022 |
| Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning F Prezja, L Annala, S Kiiskinen, S Lahtinen, T Ojala, P Ruusuvuori, ... arXiv preprint arXiv:2310.16954, 2023 | 5 | 2023 |
| Synthesizing bidirectional temporal states of knee osteoarthritis radiographs with cycle-consistent generative adversarial neural networks F Prezja, L Annala, S Kiiskinen, S Lahtinen, T Ojala arXiv preprint arXiv:2311.05798, 2023 | 3 | 2023 |
| Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision Prototyping F Prezja arXiv preprint arXiv:2311.06169, 2023 | 3* | 2023 |
| Adaptive variance thresholding: A novel approach to improve existing deep transfer vision models and advance automatic knee-joint osteoarthritis classification F Prezja, L Annala, S Kiiskinen, S Lahtinen, T Ojala arXiv preprint arXiv:2311.05799, 2023 | 2 | 2023 |
| Exploring the efficacy of base data augmentation methods in deep learning-based radiograph classification of knee joint osteoarthritis F Prezja, L Annala, S Kiiskinen, T Ojala Algorithms 17 (1), 8, 2023 | 1 | 2023 |
| Developing and testing sub-band spectral features in music genre and music mood machine learning F Prezja JYX - Jyväskylä University Digital Repository, 2018 | 1 | 2018 |
| Machine learning predicts upper secondary education dropout as early as the end of primary school M Psyridou, F Prezja, M Torppa, MK Lerkkanen, AM Poikkeus, ... Nature Scientific Reports 14 (1), 12956, 2024 | | 2024 |
| The Importance of Explainability in CNN-Based DCE-MRI Breast Cancer Detection F Prezja AAAS Science Translational Medicine (eLetter, February. 2023) https://www …, 2023 | | 2023 |
| Multi-Laboratory Hematoxylin and Eosin Staining Variance Unsupervised Machine Learning Dataset F Prezja, I Pölönen, S Äyrämö, P Ruusuvuori, T Kuopio Harvard Dataverse, V1, 2022 | | 2022 |
| Spectral Sub-Band Filter Dependent Windowing Music Genre Classification Machine Learning Dataset F Prezja Mendeley Data V2 - http://dx.doi.org/10.17632/nzf7ym9h6w.2 2, 2022 | | 2022 |
| Generative Adversarial Neural Networks as Training Augmentation in Knee Osteoarthritis Classification F Prezja, S Äyrämö, J Paloneva, I Pölönen DIME21: Digitalized methods and tools for industry and healthcare, 20, 2021 | | 2021 |
| Unsupervised analysis of staining quality in histopathological images F Prezja, T Kuopio, S Äyrämö CSAI 2021, 2021 | | 2021 |
