Håkan Wieslander

According to our database, Håkan Wieslander authored at least 5 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Evaluating the utility of brightfield image data for mechanism of action prediction.

Philip J. Harrison, Ankit Gupta, Jonne Rietdijk, Håkan Wieslander, Jordi Carreras Puigvert, Polina Georgiev, Carolina Wählby, Ola Spjuth, Ida-Maria Sintorn

PLoS Comput. Biol., 2023

2022

Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging.

Håkan Wieslander

PhD thesis, 2022

2021

Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images.

Håkan Wieslander, Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Hakan Fridén, Johan Karlsson, Ola Spjuth, Carolina Wählby

IEEE J. Biomed. Health Informatics, 2021

2018

HarmonicIO: Scalable Data Stream Processing for Scientific Datasets.

Preechakorn Torruangwatthana, Håkan Wieslander, Ben Blamey, Andreas Hellander, Salman Zubair Toor

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy.

Gustav Forslid, Håkan Wieslander, Ewert Bengtsson, Carolina Wählby, Jan-Michael Hirsch, Christina Runow Stark, Sajith Kecheril Sadanandan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017