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ORCIDHåkan Wieslander
Person information
- affiliation (PhD 2022): Uppsala University, Sweden
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2020 – today
- 2023
[j2]Philip J. Harrison
, Ankit Gupta, Jonne Rietdijk, Håkan Wieslander, Jordi Carreras Puigvert, Polina Georgiev, Carolina Wählby, Ola Spjuth, Ida-Maria Sintorn:
Evaluating the utility of brightfield image data for mechanism of action prediction. PLoS Comput. Biol. 19(7) (2023)- 2022
- [b1]Håkan Wieslander:
Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging. Uppsala University, Sweden, 2022 - 2021
- [j1]Håkan Wieslander, Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Hakan Fridén, Johan Karlsson, Ola Spjuth, Carolina Wählby:
Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images. IEEE J. Biomed. Health Informatics 25(2): 371-380 (2021)
2010 – 2019
- 2018
- [c2]Preechakorn Torruangwatthana, Håkan Wieslander, Ben Blamey, Andreas Hellander, Salman Zubair Toor:
HarmonicIO: Scalable Data Stream Processing for Scientific Datasets. IEEE CLOUD 2018: 879-882 - 2017
- [c1]Gustav Forslid, Håkan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan:
Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy. ICCV Workshops 2017: 82-89
Coauthor Index
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