Ole Winther

Ole Winther

Professor with special responsibilities


  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 articleResearchpeer-review

  3. 2022
  4. Published
  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 articleResearchpeer-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 articleResearchpeer-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 articleResearchpeer-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, B., 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 articleResearchpeer-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/debateResearch

  10. 2021
  11. 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

  12. Published

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

    Gabrielaite, M., Torp, M. H., Rasmussen, Malthe Sebro, Andreu-Sánchez, S., Vieira, Filipe Garrett, Pedersen, C. B., Kinalis, S., Madsen, M. B., Kodama, M., Demircan, G. S., Simonyan, A., Yde, C. W., Olsen, L. R., Marvig, R. L., Østrup, O., Rossing, Caroline Maria, Nielsen, Finn Cilius, Winther, Ole & Bagger, F. O., 2021, In: Cancers. 13, 24, 6283.

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published

    Improved metagenome binning and assembly using deep variational autoencoders

    Nissen, J. N., Johansen, Joachim, Allesoe, R. L., Sonderby, C. K., Armenteros, J. J. A., Grønbech, Christopher Heje, Jensen, Lars Juhl, Nielsen, H. B., Petersen, T. N., Winther, Ole & Rasmussen, Simon, 2021, In: Nature Biotechnology. 39, p. 555-560

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

    Montemurro, A., Schuster, Viktoria, Povlsen, H. R., Bentzen, A. K., Jurtz, V., Chronister, W. D., Crinklaw, A., Hadrup, S. R., Winther, Ole, Peters, B., Jessen, L. E. & Nielsen, M., 2021, In: Communications Biology . 4, 13 p., 1060.

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Published

    Reducing the rate of psychiatric re-admissions in bipolar disorder using smartphones - The RADMIS trial

    Faurholt-Jepsen, M., Lindbjerg Tønning, M., Fros, M., Martiny, Klaus, Tuxen, N., Rosenberg, N., Busk, J., Winther, Ole, Thaysen-Petersen, D., Aamund, K. A., Tolderlund, L., Bardram, J. E. & Kessing, Lars Vedel, 2021, In: Acta Psychiatrica Scandinavica. 143, 5, p. 453-465 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  16. Published

    The effect of smartphone-based monitoring and treatment on the rate and duration of psychiatric readmission in patients with unipolar depressive disorder: The RADMIS randomized controlled trial

    Tønning, M. L., Faurholt-Jepsen, M., Frost, M., Martiny, Klaus, Tuxen, N., Rosenberg, N., Busk, J., Winther, Ole, Melbye, S. A., Thaysen-Petersen, D., Aamund, K. A., Tolderlundh, L., Bardram, J. E. & Kessing, Lars Vedel, 2021, In: Journal of Affective Disorders. 282, p. 354-363 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. 2020
  18. Published

    Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach

    Busk, J., Faurholt-Jepsen, M., Frost, M., Bardram, J. E., Kessing, Lars Vedel & Winther, Ole, 1 Apr 2020, In: JMIR mHealth and uHealth. 8, 4, 14 p., e15028.

    Research output: Contribution to journalJournal articleResearchpeer-review

  19. Published

    Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments

    Busk, J., Faurholt-Jepsen, M., Frost, M., Bardram, J. E., Kessing, Lars Vedel & Winther, Ole, 2020, In: Translational Psychiatry. 10, 12 p., 194.

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. Published

    Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases

    Thomsen, K., Christensen, A. L., Iversen, L., Lomholt, H. B. & Winther, Ole, 2020, In: Frontiers in Medicine. 7, 7 p., 574329.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Published

    Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

    Prachar, Marek, Justesen, S., Steen-Jensen, D. B., Thorgrimsen, S., Jurgons, E., Winther, Ole & Bagger, F. O., 2020, In: Scientific Reports. 10, 8 p., 20465.

    Research output: Contribution to journalJournal articleResearchpeer-review

  22. Published

    Optimal Variance Control of the Score-Function Gradient Estimator for Importance Weighted Bounds

    Liévin, V., Dittadi, A., Christensen, Anders & Winther, Ole, 2020, In: Advances in Neural Information Processing Systems. 2020-December, 12 p.

    Research output: Contribution to journalConference articleResearchpeer-review

  23. Published

    Systematic review of machine learning for diagnosis and prognosis in dermatology

    Thomsen, K., Iversen, L., Titlestad, T. L. & Winther, Ole, 2020, In: Journal of Dermatological Treatment. 31, 5, p. 496-510

    Research output: Contribution to journalReviewResearchpeer-review

  24. Published

    scVAE: variational auto-encoders for single-cell gene expression data

    Grønbech, Christopher Heje, Vording, M. F., Timshel, P., Sønderby, C. K., Pers, Tune H & Winther, Ole, 2020, In: Bioinformatics. 36, 16, p. 4415-4422 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  25. 2019
  26. Published

    SignalP 5.0 improves signal peptide predictions using deep neural networks

    Armenteros, J. J. A., Tsirigos, Konstantinos, Sønderby, C. K., Petersen, T. N., Winther, Ole, Brunak, Søren, von Heijne, G. & Nielsen, H., 18 Feb 2019, In: Nature Biotechnology. 37, 4, p. 420-423

    Research output: Contribution to journalJournal articleCommunication

  27. Published

    A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning

    Bhowmik, A., Castelli, I. E., Garcia-Lastra, J. M., Bjørn-Jørgensen, P., Winther, Ole & Vegge, T., 2019, In: Energy Storage Materials. 21, p. 446-456

    Research output: Contribution to journalReviewResearchpeer-review

  28. Published

    Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

    Kinalis, S., Nielsen, Finn Cilius, Winther, Ole & Bagger, F. O., 2019, In: BMC Bioinformatics. 20, 9 p., 379.

    Research output: Contribution to journalJournal articleResearchpeer-review

  29. Published

    Detecting sequence signals in targeting peptides using deep learning

    Almagro Armenteros, J. J., Salvatore, Marco, Emanuelsson, O., Winther, Ole, von Heijne, G., Elofsson, A. & Nielsen, H., 2019, In: Life Science Alliance. 2, 5, 14 p., 201900429.

    Research output: Contribution to journalJournal articleResearchpeer-review

  30. Published

    NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning

    Klausen, M. S., Jespersen, M. C., Nielsen, H., Jensen, K. K., Jurtz, V. I., Sønderby, C. K., Sommer, M. O. A., Winther, Ole, Nielsen, M., Petersen, B. & Marcatili, P., 2019, In: Proteins: Structure, Function and Bioinformatics. 87, 6, p. 520-527

    Research output: Contribution to journalJournal articleResearchpeer-review

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