Works by Chmura, Piotr Jaroslaw

Results: 9
    1

    Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study.

    Published in:
    PLoS Genetics, 2025, v. 21, n. 7, p. 1, doi. 10.1371/journal.pgen.1011776
    By:
    • Howey, Richard;
    • Adam, Jonathan;
    • Adamski, Jerzy;
    • Atabaki, Natalie N.;
    • Brunak, Søren;
    • Chmura, Piotr Jaroslaw;
    • De Masi, Federico;
    • Dermitzakis, Emmanouil T.;
    • Fernandez-Tajes, Juan J.;
    • Forgie, Ian M.;
    • Franks, Paul W.;
    • Giordano, Giuseppe N.;
    • Haid, Mark;
    • Hansen, Torben;
    • Hansen, Tue H.;
    • Harms, Peter P.;
    • Hattersley, Andrew T.;
    • Hong, Mun-gwan;
    • Jacobsen, Ulrik Plesner;
    • Jones, Angus G.
    Publication type:
    Article
    2
    3

    Longitudinal associations of retinal vessel morphology with intraocular pressure and blood pressure at follow‐up visit—Findings from a Danish eye and vision cohort, Project FOREVER.

    Published in:
    Acta Ophthalmologica (1755375X), 2025, v. 103, n. 1, p. 33, doi. 10.1111/aos.16737
    By:
    • Freiberg, Josefine;
    • Welikala, Roshan;
    • Rovelt, Jens;
    • Barman, Sarah A.;
    • Owen, Christopher G.;
    • Rudnicka, Alicja R.;
    • Kolko, Miriam;
    • Torp‐Pedersen, Christian;
    • Benn, Marianne;
    • Brunak, Søren;
    • la Cour, Morten;
    • Tolstrup, Janne;
    • Slyngborg, Annette;
    • Burgdorf, Kristoffer Sølvsten;
    • Dahl, Anders Bjørholm;
    • Sudgaard, Josefine Vilsbøll;
    • Chmura, Piotr Jaroslaw;
    • Reimann, Marcel;
    • Thornit, Dorte Nellemann;
    • Holmgaard, Kim
    Publication type:
    Article
    4

    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.

    Published in:
    Acta Ophthalmologica (1755375X), 2024, v. 102, n. 1, p. 80, doi. 10.1111/aos.15693
    By:
    • Freiberg, Josefine;
    • Rovelt, Jens;
    • Gazzard, Gus;
    • la Cour, Morten;
    • Kolko, Miriam;
    • Torp‐Pedersen, Christian;
    • Benn, Marianne;
    • Brunak, Søren;
    • Tolstrup, Janne;
    • Toft‐Petersen, Anne Pernille;
    • Burgdorf, Kristoffer Sølvsten;
    • Banasik, Karina;
    • Chmura, Piotr Jaroslaw;
    • Thornit, Dorte Nellemann;
    • Foster, Paul;
    • Crabb, David P.;
    • Viswanathan, Ananth;
    • Barman, Sarah;
    • Owen, Christopher G.;
    • Rudnicka, Alicja R.
    Publication type:
    Article
    5

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

    Published in:
    Trials, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s13063-022-06259-z
    By:
    • Dunger, David B.;
    • Bruggraber, Sylvaine F. A.;
    • Mander, Adrian P.;
    • Marcovecchio, M. Loredana;
    • Tree, Timothy;
    • Chmura, Piotr Jaroslaw;
    • Knip, Mikael;
    • Schulte, Anke M.;
    • Mathieu, Chantal;
    • on behalf of the INNODIA consortium;
    • Mathieu, C.;
    • Gillard, P.;
    • Casteels, K.;
    • Overbergh, L.;
    • Dunger, D.;
    • Wallace, C.;
    • Evans, M.;
    • Thankamony, A.;
    • Hendriks, E.;
    • Bruggraber, S.
    Publication type:
    Article
    6
    7

    Automated stenosis estimation of coronary angiographies using end-to-end learning.

    Published in:
    International Journal of Cardiovascular Imaging, 2025, v. 41, n. 3, p. 441, doi. 10.1007/s10554-025-03324-x
    By:
    • Eschen, Christian Kim;
    • Banasik, Karina;
    • Dahl, Anders Bjorholm;
    • Chmura, Piotr Jaroslaw;
    • Bruun-Rasmussen, Peter;
    • Pedersen, Frants;
    • Køber, Lars;
    • Engstrøm, Thomas;
    • Bøttcher, Morten;
    • Winther, Simon;
    • Christensen, Alex Hørby;
    • Bundgaard, Henning;
    • Brunak, Søren
    Publication type:
    Article
    8

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

    Published in:
    2023
    By:
    • Allesøe, Rosa Lundbye;
    • Lundgaard, Agnete Troen;
    • Hernández Medina, Ricardo;
    • Aguayo-Orozco, Alejandro;
    • Johansen, Joachim;
    • Nissen, Jakob Nybo;
    • Brorsson, Caroline;
    • Mazzoni, Gianluca;
    • Niu, Lili;
    • Biel, Jorge Hernansanz;
    • Leal Rodríguez, Cristina;
    • Brasas, Valentas;
    • Webel, Henry;
    • Benros, Michael Eriksen;
    • Pedersen, Anders Gorm;
    • Chmura, Piotr Jaroslaw;
    • Jacobsen, Ulrik Plesner;
    • Mari, Andrea;
    • Koivula, Robert;
    • Mahajan, Anubha
    Publication type:
    Correction Notice
    9

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

    Published in:
    Nature Biotechnology, 2023, v. 41, n. 3, p. 399, doi. 10.1038/s41587-022-01520-x
    By:
    • Allesøe, Rosa Lundbye;
    • Lundgaard, Agnete Troen;
    • Hernández Medina, Ricardo;
    • Aguayo-Orozco, Alejandro;
    • Johansen, Joachim;
    • Nissen, Jakob Nybo;
    • Brorsson, Caroline;
    • Mazzoni, Gianluca;
    • Niu, Lili;
    • Biel, Jorge Hernansanz;
    • Brasas, Valentas;
    • Webel, Henry;
    • Benros, Michael Eriksen;
    • Pedersen, Anders Gorm;
    • Chmura, Piotr Jaroslaw;
    • Jacobsen, Ulrik Plesner;
    • Mari, Andrea;
    • Koivula, Robert;
    • Mahajan, Anubha;
    • Vinuela, Ana
    Publication type:
    Article