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Denis Krajnc

Medical University of Vienna

9H指数
21论文数
367被引数
收录论文 10
发表时间
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DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters
err2023-10-01
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errPapp, Laszlo; Haberl, David; Ecsedi, Boglarka; Spielvogel, Clemens P.; Krajnc, Denis; Grahovac, Marko; Moradi, Sasan; Drexler, Wolfgang
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Error mitigation enables PET radiomic cancer characterization on quantum computers
err2023-08-04
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errMoradi, S.; Spielvogel, Clemens; Krajnc, Denis; Brandner, C.; Hillmich, S.; Wille, R.; Traub-Weidinger, T.; Li, X.; Hacker, M.; Drexler, W.; Papp, L.
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Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts
err2023-02-04
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errGrahovac, M.; Spielvogel, C. P.; Krajnc, D.; Ecsedi, B.; Traub-Weidinger, T.; Rasul, S.; Kluge, K.; Zhao, M.; Li, X.; Hacker, M.; Haug, A.; Papp, Laszlo
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Sex-specific radiomic features of L-[S-methyl-11C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictability
err2023-02-03
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errPapp, Laszlo; Rasul, Sazan; Spielvogel, Clemens P.; Krajnc, Denis; Poetsch, Nina; Woehrer, Adelheid; Patronas, Eva-Maria; Ecsedi, Boglarka; Furtner, Julia; Mitterhauser, Markus; Rausch, Ivo; Widhalm, Georg; Beyer, Thomas; Hacker, Marcus; Traub-Weidinger, Tatjana
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Automated data preparation for in vivo tumor characterization with machine learning使用机器学习进行体内肿瘤表征的自动数据准备
err2022-10-11
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errKrajnc, Denis; Spielvogel, Clemens P.; Grahovac, Marko; Ecsedi, Boglarka; Rasul, Sazan; Poetsch, Nina; Traub-Weidinger, Tatjana; Haug, Alexander R.; Ritter, Zsombor; Alizadeh, Hussain; Hacker, Marcus; Beyer, Thomas; Papp, Laszlo
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Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer
err2022-09-26
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errSpielvogel, Clemens P.; Stoiber, Stefan; Papp, Laszlo; Krajnc, Denis; Grahovac, Marko; Gurnhofer, Elisabeth; Trachtova, Karolina; Bystry, Vojtech; Leisser, Asha; Jank, Bernhard; Schnoell, Julia; Kadletz, Lorenz; Heiduschka, Gregor; Beyer, Thomas; Hacker, Marcus; Kenner, Lukas; Haug, Alexander R.
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Clinical data classification with noisy intermediate scale quantum computers
err2022-02-03
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errMoradi, S.; Brandner, C.; Spielvogel, C.; Krajnc, D.; Hillmich, S.; Wille, R.; Drexler, W.; Papp, L.
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A Sneak-Peek into the Physician's Brain: A Retrospective Machine Learning-Driven Investigation of Decision-Making in TAVR versus SAVR for Young High-Risk Patients with Severe Symptomatic Aortic Stenosis
err2021-10-22
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errHasimbegovic, Ena; Papp, Laszlo; Grahovac, Marko; Krajnc, Denis; Poschner, Thomas; Hasan, Waseem; Andreas, Martin; Gross, Christoph; Strouhal, Andreas; Delle-Karth, Georg; Grabenwoeger, Martin; Adlbrecht, Christopher; Mach, Markus
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Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI监督机器学习可通过 [68Ga]Ga-PSMA-11 PET/MRI实现原发性前列腺癌的非侵入性病变表征
err2020-12-19
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errPapp, L.; Spielvogel, C. P.; Grubmueller, B.; Grahovac, M.; Krajnc, D.; Ecsedi, B.; Sareshgi, R. A. M.; Mohamad, D.; Hamboeck, M.; Rausch, I.; Mitterhauser, M.; Wadsak, W.; Haug, A. R.; Kenner, L.; Mazal, P.; Susani, M.; Hartenbach, S.; Baltzer, P.; Helbich, T. H.; Kramer, G.; Shariat, S. F.; Beyer, T.; Hartenbach, M.; Hacker, M.
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