Piotr Jaroslaw Chmura

Piotr Jaroslaw Chmura

Research programmer

ORCID: 0000-0002-9371-6918

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  1. Published

    A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

    Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., Chowdhury, A., Franz, A., Brais, L., Andrews, E., Marks, D. S., Regev, A., Ayandeh, S., Brophy, M. T., Do, N. V., Kraft, P. & 5 others, Wolpin, B. M., Rosenthal, M. H., Fillmore, N. R., Brunak, Søren & Sander, C., 2023, In: Nature Medicine. 29, p. 1113-1122

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    Classification of Left and Right Coronary Arteries in Coronary Angiographies Using Deep Learning

    Eschen, Christian Kim, Banasik, Karina, Christensen, Alex Hørby, Chmura, Piotr Jaroslaw, Pedersen, F., Køber, Lars Valeur, Engstrøm, Thomas, Dahl, A. B., Brunak, Søren & Bundgård, Henning, 2022, In: Electronics (Switzerland). 11, 13, 9 p., 2087.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Community curation of bioinformatics software and data resources

    Ison, J., Ménager, H., Brancotte, B., Jaaniso, E., Salumets, A., Raček, T., Lamprecht, A. L., Palmblad, M., Kalaš, M., Chmura, Piotr Jaroslaw, Hancock, J. M., Schwämmle, V. & Ienasescu, H. I., 2020, In: Briefings in Bioinformatics. 21, 5, p. 1697-1705 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    DanMAC5: a browser of aggregated sequence variants from 8,671 whole genome sequenced Danish individuals

    Banasik, K., Møller, P. L., Techlo, T. R., Holm, P. C., Walters, G. B., Ingason, A., Rosengren, A., Rohde, P. D., Kogelman, L. J. A., Westergaard, D., Siggaard, T., Chmura, P. J., Chalmer, M. A., Magnússon, Ó., Þórisson, G., Stefánsson, H., Guðbjartsson, D. F., Stefánsson, K., Olesen, J., Winther, S. & 5 others, Bøttcher, M., Brunak, Søren, Werge, Thomas, Nyegaard, M. & Hansen, Thomas Folkmann, 2023, In: BMC Genomic Data. 24, 1, 4 p., 30.

    Research output: Contribution to journal › Comment/debate › Research › peer-review

  5. Published

    Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models: [with Author Correction]

    Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., Brasas, V., Webel, H., Benros, M. E., Pedersen, A. G., Chmura, P. J., Jacobsen, U. P., Mari, A., Koivula, R., Mahajan, A., Vinuela, A. & 31 others, Tajes, J. F., Sharma, S., Haid, M., Hong, M., Musholt, P. B., De Masi, F., Vogt, J., Pedersen, H. K., Gudmundsdottir, V., Jones, A., Kennedy, G., Bell, J., Thomas, E. L., Frost, G., Thomsen, Henrik S., Hansen, E., Hansen, T. H., drb459, drb459, Muilwijk, M., Blom, M. T., 't Hart, L. M., Pattou, F., Raverdy, V., Brage, S., Ridderstråle, M., Pedersen, Oluf Borbye, Hansen, Torben, Banasik, Karina, Rasmussen, Simon, Brunak, Søren & IMI-DIRECT consortium, I. C., 2023, In: Nature Biotechnology. 41, 3, p. 399–408 18 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

    Thorsen-Meyer, H., Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, A. P., Lange, Theis, Nielsen, A. B., Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Belling, K., Perner, Anders & Brunak, Søren, 2022, In: npj Digital Medicine. 5, 10 p., 142.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

    Thorsen-Meyer, H., Nielsen, A. B., Nielsen, A. P., Kaas-Hansen, Benjamin Skov, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Belling, K., Brunak, Søren & Perner, Anders, 2020, In: The Lancet Digital Health. 2, 4, p. e179–91 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER)—A cohort study in a Danish high street optician setting: Design and methodology

    Freiberg, J., Rovelt, J., Gazzard, G., Cour, M. L., Kolko, M., Torp‐Pedersen, C., Benn, M., Brunak, S., Cour, M. L., Tolstrup, J., Toft‐Petersen, A. P., Burgdorf, K. S., Banasik, K., Chmura, P. J., Freiberg, J., Rovelt, J., Thornit, D. N., Foster, P., Gazzard, G., Crabb, D. P. & 4 others, Viswanathan, A., Barman, Sarah, Owen, C. G. & Rudnicka, A. R., 2024, In: Acta Ophthalmologica. 102, 1, p. 80-90 11 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Gene expression signature predicts rate of type 1 diabetes progression

    Suomi, T., Starskaia, I., Kalim, U. U., Rasool, O., Jaakkola, M. K., Grönroos, T., Välikangas, T., Brorsson, C., Mazzoni, G., Bruggraber, S., Overbergh, L., Dunger, D., Peakman, M., Chmura, P., Brunak, S., Schulte, A. M., Mathieu, C., Knip, M., Lahesmaa, R., Elo, L. L. & 4 others, Pociot, Flemming, Johannesen, Jesper, Rossing, Peter & INNODIA consortium, I. C., 2023, In: EBioMedicine. 92, 18 p., 104625.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    High-throughput sequencing of circulating plasma microRNAs in newly diagnosed type 1 diabetes identifies four different patient clusters

    Sebastiani, G., Grieco, G. E., Fignani, D., Chmura, Piotr Jaroslaw, Brorsson, C. A., Bruggraber, S., Pugliese, A., Evans-Molina, C., Knip, M., Peakman, M., Schulte, A. M., Brunak, Søren, Dunger, D. B., Mathieu, C. & Dotta, F., 2020, In: Diabetologia. 63, Suppl. 1, p. S160 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research

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ID: 233701104