Johan Karlsson

Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research

Johan Karlsson, Thierry Kogej, Ola Engkvist, 2019, Front. Pharmacol..

Deep learning models for lipid-nanoparticle-based drug delivery

Ola Spjuth, Andreas Hellander, Carolina Wählby, 2020, bioRxiv.

Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads

Johan Karlsson, Andreas Hellander, Fredrik Wrede, 2019, 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Convolutional neural networks for automated CMR image segmentation in rats with myocardial infarcts

Edmund M. Watson, Tobias Noeske, Magdalena Zurek, 2020, bioRxiv.

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

Ola Spjuth, Carolina Wählby, Philip J. Harrison, 2020, IEEE Journal of Biomedical and Health Informatics.

Spheroid Segmentation Using Multiscale Deep Adversarial Networks

Johan Karlsson, Carolina Wählby, Sajith Kecheril Sadanandan, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

IA-Lab: A MATLAB framework for efficient microscopy image analysis development, applied to quantifying intracellular transport of internalized peptide-drug conjugate

Yinhai Wang, Laurent Knerr, Adam M Corrigan, 2019, PloS one.

VidHarm: A Clip Based Dataset for Harmful Content Detection

M. Felsberg, Johan Edstedt, Johan Karlsson, 2021, 2022 26th International Conference on Pattern Recognition (ICPR).

Is this Harmful? Learning to Predict Harmfulness Ratings from Video

M. Felsberg, Johan Edstedt, Johan Karlsson, 2021, ArXiv.

Detection of Cardiomyocyte Proliferation using Convolutional Neural Networks Master’s thesis in Biomedical Engineering

Susanna Larsson, Johan Karlsson, Lina Olandersson, 2014 .