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Error mitigation enables PET radiomic cancer characterization on quantum computers Moradi, S.; Spielvogel, Clemens; Krajnc, Denis; Brandner, C.; Hillmich, S.; Wille, R.; Traub-Weidinger, T.; Li, X.; Hacker, M.; Drexler, W.; Papp, L. 分享 收藏
Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts Grahovac, 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 分享 收藏
Sex-specific radiomic features of L-[S-methyl-11C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictability Papp, 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 分享 收藏
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 Krajnc, 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 分享 收藏
Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer Spielvogel, 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. 分享 收藏
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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 Hasimbegovic, 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 分享 收藏
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 Papp, 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. 分享 收藏