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Denis Krajnc

Showing results (1-10 of 10) with videos related to

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European Journal of Nuclear Medicine and Molecular Imaging|March 7, 2025
Clinician-driven automated data preprocessing in nuclear medicine AI environmentsDenis Krajnc, Clemens P Spielvogel, Boglarka Ecsedi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2023
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parametersLaszlo Papp, David Haberl, Boglarka Ecsedi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 4, 2023
Error mitigation enables PET radiomic cancer characterization on quantum computersS Moradi, Clemens Spielvogel, Denis Krajnc, et al.
Journal of Personalized Medicine|November 27, 2021
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 StenosisEna Hasimbegovic, Laszlo Papp, Marko Grahovac, et al.
Frontiers in Oncology|October 28, 2022
Automated data preparation for <i>in vivo</i> tumor characterization with machine learningDenis Krajnc, Clemens P Spielvogel, Marko Grahovac, et al.
European Radiology|July 27, 2022
Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinomaMeixin Zhao, Kilian Kluge, Laszlo Papp, et al.
Cancers|April 3, 2021
Breast Tumor Characterization Using [<sup>18</sup>F]FDG-PET/CT Imaging Combined with Data Preprocessing and RadiomicsDenis Krajnc, Laszlo Papp, Thomas S Nakuz, et al.
Cancers|July 2, 2021
Morpho-Molecular Metabolic Analysis and Classification of Human Pituitary Gland and Adenoma Biopsies Based on Multimodal Optical ImagingGabriel Giardina, Alexander Micko, Daniela Bovenkamp, et al.
Frontiers in Oncology|February 23, 2023
Sex-specific radiomic features of L-[S-methyl-<sup>11</sup>C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictabilityLaszlo Papp, Sazan Rasul, Clemens P Spielvogel, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 26, 2022
Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancerClemens P Spielvogel, Stefan Stoiber, Laszlo Papp, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
European Journal of Nuclear Medicine and Molecular Imaging|March 7, 2025
Clinician-driven automated data preprocessing in nuclear medicine AI environmentsDenis Krajnc, Clemens P Spielvogel, Boglarka Ecsedi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2023
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parametersLaszlo Papp, David Haberl, Boglarka Ecsedi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 4, 2023
Error mitigation enables PET radiomic cancer characterization on quantum computersS Moradi, Clemens Spielvogel, Denis Krajnc, et al.
Journal of Personalized Medicine|November 27, 2021
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 StenosisEna Hasimbegovic, Laszlo Papp, Marko Grahovac, et al.
Frontiers in Oncology|October 28, 2022
Automated data preparation for <i>in vivo</i> tumor characterization with machine learningDenis Krajnc, Clemens P Spielvogel, Marko Grahovac, et al.
European Radiology|July 27, 2022
Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinomaMeixin Zhao, Kilian Kluge, Laszlo Papp, et al.
Cancers|April 3, 2021
Breast Tumor Characterization Using [<sup>18</sup>F]FDG-PET/CT Imaging Combined with Data Preprocessing and RadiomicsDenis Krajnc, Laszlo Papp, Thomas S Nakuz, et al.
Cancers|July 2, 2021
Morpho-Molecular Metabolic Analysis and Classification of Human Pituitary Gland and Adenoma Biopsies Based on Multimodal Optical ImagingGabriel Giardina, Alexander Micko, Daniela Bovenkamp, et al.
Frontiers in Oncology|February 23, 2023
Sex-specific radiomic features of L-[S-methyl-<sup>11</sup>C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictabilityLaszlo Papp, Sazan Rasul, Clemens P Spielvogel, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 26, 2022
Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancerClemens P Spielvogel, Stefan Stoiber, Laszlo Papp, et al.
Pageof 1