Published Papers:

  1. A. Gupta, P.J. Harrison, H. Wieslander, N. Pielawski, K. Kartasalo, G. Partel, L. Solorzano, A. Suveer, A. H. Klemm, O. Spjuth, I-M. Sintorn, and C. Wählby. Deep Learning in Image Cytometry: A Review. Cytometry A. DOI:10.1002/cyto.a.23701, Dec 19 2018. URL:
  2. Kensert A, Harrison PJ, Spjuth O
    Transfer learning with deep convolutional neural network for classifying cellular morphological changes
    SLAS DISCOVERY: Advancing Life Sciences R&D. 24, 4 (2019).
  3. Gauraha N, Carlsson L, Spjuth O.
    Conformal Prediction in Learning Under Privileged Information Paradigm with Applications in Drug Discovery.
    Proceedings of Machine Learning Research. 91, 147-156 (2018).
  4. Spjuth O, Carlsson L., Gauraha N. Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction.
    arXiv. 1806.04000 (2018). URL:
  5. Spjuth O, Gauraha N. Synergy Conformal Prediction.
    Submitted to Journal of Machine Learning Research.
  6. P. Torruangwatthana, H. Wieslander, B. Blamey, A. Hellander and S. Toor (2018), HarmonicIO: Scalable data stream processing for scientific datasets,
  7. B Blamey, A Hellander, S Toor. Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison.
    arXiv preprint arXiv:1807.07724, 2018 (in submission)
  8. B. Blamey, F. Wrede, J.Karlsson, A. Hellander, S. Toor, Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads, 2019 (to appear in  CCGrid)

MSc Theses:

  1. Lovisa Lugnegård: Master Thesis – Building a High Throughput Microscope Simulator using Apache. URL: