Håkan Wieslander
Håkan Wieslander
PhD Student, Uppsala Universitet, Sweden
Verified email at it.uu.se
Cited by
Cited by
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
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
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
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
Learning to see colours: generating biologically relevant fluorescent labels from bright-field images
H Wieslander, A Gupta, E Bergman, E Hallström, PJ Harrison
bioRxiv, 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, ...
GigaScience 10 (3), giab018, 2021
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
TEM image restoration from fast image streams
H Wieslander, C Wählby, IM Sintorn
Plos one 16 (2), e0246336, 2021
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
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