Ole Winther

Ole Winther

Professor with special responsibilities, Professor MSO


  1. 2023
  2. Published

    DermX: An end-to-end framework for explainable automated dermatological diagnosis

    Jalaboi, R., Faye, F., Orbes-Arteaga, M., Jørgensen, D., Winther, Ole & Galimzianova, A., 2023, In: Medical Image Analysis. 83, 12 p., 102647.

    Research output: Contribution to journalJournal articlepeer-review

  3. E-pub ahead of print

    Explainable Image Quality Assessments in Teledermatological Photography

    Jalaboi, R., Winther, Ole & Galimzianova, A., 2023, (E-pub ahead of print) In: Telemedicine and e-Health. 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  4. 2022
  5. Published

    Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks

    Busk, J., Jørgensen, P. B., Bhowmik, A., Schmidt, M. N., Winther, Ole & Vegge, T., 2022, In: Machine Learning: Science and Technology. 3, 1, 12 p., 015012.

    Research output: Contribution to journalJournal articlepeer-review

  6. Published

    DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

    Thumuluri, V., Almagro Armenteros, J. J., Johansen, A. R., Nielsen, H. & Winther, Ole, 2022, In: Nucleic Acids Research. 50, W1, p. W228-W234

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    Interpretable autoencoders trained on single cell sequencing data can transfer directly to data from unseen tissues

    Walbech, J. S., Kinalis, S., Winther, Ole, Nielsen, Finn Cilius & Bagger, F. O., 2022, In: Cells. 11, 12 p., 85.

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

    Høie, M. H., Kiehl, E. N., Petersen, Bent, Nielsen, M., Winther, Ole, Nielsen, H., Hallgren, J. & Marcatili, P., 2022, In: Nucleic Acids Research. 50, W1, p. W510-W515 6 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    SignalP 6.0 predicts all five types of signal peptides using protein language models

    Teufel, Felix Georg, Almagro Armenteros, J. J., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, Konstantinos, Winther, Ole, Brunak, Søren, von Heijne, G. & Nielsen, H., 2022, In: Nature Biotechnology. 40, p. 1023-1025

    Research output: Contribution to journalComment/debate

  10. Published

    Transfer learning reveals sequence determinants of regulatory element accessibility

    Salvatore, Marco, Horlacher, M., Winther, Ole & Andersson, Robin, 2022, bioRxiv, 24 p.

    Research output: Working paperPreprintResearch

  11. Published

    Transition1x: a dataset for building generalizable reactive machine learning potentials

    Schreiner, M., Bhowmik, A., Vegge, T., Busk, J. & Winther, Ole, 2022, In: Scientific Data. 9, 1, 9 p., 779.

    Research output: Contribution to journalJournal articlepeer-review

  12. 2021
  13. Published

    A comparison of tools for copy-number variation detection in germline whole exome and whole genome sequencing data

    Gabrielaite, M., Torp, M., Rasmussen, M., Andreu-Sánchez, S., Vieira, Filipe Garrett, Pedersen, C., Kinalis, S., Madsen, M., Yde, C., Rønn, O. L., Marvig, R., Østrup, O., Rossing, Caroline Maria, Nielsen, Finn Cilius, Winther, Ole & Bagger, F. O., 2021, bioRxiv, 29 p.

    Research output: Working paperPreprintResearch

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