| Deep learning in image cytometry: a review A Gupta, PJ Harrison, H Wieslander, N Pielawski, K Kartasalo, G Partel, ... Cytometry Part A 95 (4), 366-380, 2019 | 198 | 2019 |
| Deep convolutional neural networks for detecting cellular changes due to malignancy H Wieslander, G Forslid, E Bengtsson, C Wahlby, JM Hirsch, ... Proceedings of the IEEE international conference on computer vision …, 2017 | 80 | 2017 |
| Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images H Wieslander, PJ Harrison, G Skogberg, S Jackson, M Fridén, J Karlsson, ... IEEE journal of biomedical and health informatics 25 (2), 371-380, 2020 | 32 | 2020 |
| Deep-learning models for lipid nanoparticle-based drug delivery PJ Harrison, H Wieslander, A Sabirsh, J Karlsson, V Malmsjö, A Hellander, ... Nanomedicine 16 (13), 1097-1110, 2021 | 30 | 2021 |
| Learning to see colours: Biologically relevant virtual staining for adipocyte cell images H Wieslander, A Gupta, E Bergman, E Hallström, PJ Harrison PloS one 16 (10), e0258546, 2021 | 18* | 2021 |
| HarmonicIO: scalable data stream processing for scientific datasets P Torruangwatthana, H Wieslander, B Blamey, A Hellander, S Toor 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 879-882, 2018 | 10 | 2018 |
| Evaluating the utility of brightfield image data for mechanism of action prediction PJ Harrison, A Gupta, J Rietdijk, H Wieslander, J Carreras-Puigvert, ... PLOS Computational Biology 19 (7), e1011323, 2023 | 9 | 2023 |
| TEM image restoration from fast image streams H Wieslander, C Wählby, IM Sintorn Plos one 16 (2), e0246336, 2021 | 6 | 2021 |
| Is brightfield all you need for mechanism of action prediction? A Gupta, PJ Harrison, H Wieslander, J Rietdijk, JC Puigvert, P Georgiev, ... bioRxiv, 2022.10. 12.511869, 2022 | 4 | 2022 |
| Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit B Blamey, S Toor, M Dahlö, H Wieslander, PJ Harrison, IM Sintorn, ... GigaScience 10 (3), giab018, 2021 | 1 | 2021 |
| Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit B Blamey, S Toor, M Dahlö, H Wieslander, PJ Harrison, IM Sintorn, ... bioRxiv, 2020.09. 13.274779, 2020 | 1 | 2020 |
| Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging H Wieslander Acta Universitatis Upsaliensis, 2022 | | 2022 |
| Transmission Electron Microscopy Dataset for Image Deblurring IM Sintorn, H Wieslander, C Wählby | | 2020 |
| Detection of Malignancy-Associated Changes Due to Precancerous and Oral Cancer Lesions: A Pilot Study using Deep Learning E Bengtsson, H Wieslander, G Forslid, C Wählby, JM Hirsch, ... 33rd Congress of the International Society for Advancement of Cytometry, 2018 | | 2018 |
