Piotr Jaroslaw Chmura

Piotr Jaroslaw Chmura

Research programmer

ORCID: 0000-0002-9371-6918

Publication year:
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  1. 2023
  2. E-pub ahead of print

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

    Placido, Davide, Yuan, B., Hjaltelin, Jessica Xin, Zheng, C., Haue, Amalie Dahl, Chmura, Piotr Jaroslaw, 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., Wolpin, B. M., Rosenthal, M. H., Fillmore, N. R., Brunak, Søren & Sander, C., 8 May 2023, (E-pub ahead of print) In: Nature Medicine.

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

  3. Published

    Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

    Allesøe, R. L., Lundgaard, Agnete Troen, Hernandez Medina, Ricardo, Aguayo-Orozco, A., Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, C., Mazzoni, G., Niu, Lili, Hernansanz Biel, Jorge, Brasas, V., Webel, Henry, Benros, Michael Eriksen, Pedersen, A. G., Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, A., Koivula, R., Mahajan, A., Vinuela, A., 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

  4. Accepted/In press

    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, Josefine, Rovelt, Jens, Gazzard, G., la Cour, Morten, Kolko, Miriam, Torp‐Pedersen, C., Benn, Marianne, Brunak, Søren, la Cour, Morten, Tolstrup, J., Toft‐Petersen, A. P., Burgdorf, Kristoffer Sølvsten, Banasik, Karina, Chmura, Piotr Jaroslaw, Freiberg, Josefine, Rovelt, Jens, Thornit, D. N., Foster, P., Gazzard, G., Crabb, D. P., Viswanathan, A., Barman, Sarah, Owen, C. G. & Rudnicka, A. R., 2023, (Accepted/In press) In: Acta Ophthalmologica.

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

  5. 2022
  6. 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

  7. 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, Annelaura Bach, 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

  8. Published

    INNODIA Master Protocol for the evaluation of investigational medicinal products in children, adolescents and adults with newly diagnosed type 1 diabetes

    Dunger, D. B., Bruggraber, S. F. A., Mander, A. P., Marcovecchio, M. L., Tree, T., Chmura, Piotr Jaroslaw, Knip, M., Schulte, A. M., Mathieu, C. & INNODIA consortium, I. C., 2022, In: Trials. 23, 1, 9 p., 414.

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

  9. 2021
  10. Published

    Study protocol Minimum effective low dose: Anti-human thymocyte globulin (MELD-ATG): Phase II, dose ranging, efficacy study of antithymocyte globulin (ATG) within 6 weeks of diagnosis of type 1 diabetes

    Wilhelm-Benartzi, C. S., Miller, S. E., Bruggraber, S., Picton, D., Wilson, M., Gatley, K., Chhabra, A., Marcovecchio, M. L., Hendriks, A. E. J., Morobé, H., Chmura, Piotr Jaroslaw, Bond, S., Aschemeier-Fuchs, B., Knip, M., Tree, T., Overbergh, L., Pall, J., Arnaud, O., Haller, M. J., Nitsche, A., Schulte, A. M., Mathieu, C., Mander, A. & Dunger, D., 2021, In: BMJ Open. 11, 12, 24 p., e053669.

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

  11. Published

    biotoolsSchema: a formalized schema for bioinformatics software description

    Ison, J., Ienasescu, H., Rydza, E., Chmura, Piotr Jaroslaw, Rapacki, K., Gaignard, A., Schwämmle, V., Van Helden, J., Kalaš, M. & Ménager, H., 2021, In: GigaScience. 10, 1, 19 p., giaa157.

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

  12. 2020
  13. 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

  14. 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, Annelaura Bach, 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

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ID: 233701104