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Andrej Studen

Showing results (11-20 of 26) with videos related to

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Radiology and Oncology|September 4, 2023
Breast cancer risk assessment and risk distribution in 3,491 Slovenian women invited for screening at the age of 50; a population-based cross-sectional studyKatja Jarm, Vesna Zadnik, Mojca Birk, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 29, 2026
Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectivesTobias Wagner, Zan Klanecek, Yao-Kuan Wang, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 10, 2022
Abnormal metabolic covariance patterns associated with multiple system atrophy and progressive supranuclear palsyPetra Tomše, Eva Rebec, Andrej Studen, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 27, 2021
Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot studyNežka Hribernik, Daniel T Huff, Andrej Studen, et al.
Physics in Medicine and Biology|October 7, 2025
Brain networks involved in cancer treatment response: insights from<sup>18</sup>F-FDG PET scansMauro Namías, Matej Perovnik, Daniel Huff, et al.
Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment|November 11, 2020
Evaluation of a high resolution silicon PET insert moduleMilan Grkovski, Karol Brzezinski, Vladimir Cindro, et al.
Radiology and Oncology|July 30, 2020
[18F]FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumabDamijan Valentinuzzi, Martina Vrankar, Nina Boc, et al.
Physics in Medicine and Biology|December 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology|April 7, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction modelZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology|February 6, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Radiology and Oncology|September 4, 2023
Breast cancer risk assessment and risk distribution in 3,491 Slovenian women invited for screening at the age of 50; a population-based cross-sectional studyKatja Jarm, Vesna Zadnik, Mojca Birk, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 29, 2026
Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectivesTobias Wagner, Zan Klanecek, Yao-Kuan Wang, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 10, 2022
Abnormal metabolic covariance patterns associated with multiple system atrophy and progressive supranuclear palsyPetra Tomše, Eva Rebec, Andrej Studen, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 27, 2021
Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot studyNežka Hribernik, Daniel T Huff, Andrej Studen, et al.
Physics in Medicine and Biology|October 7, 2025
Brain networks involved in cancer treatment response: insights from<sup>18</sup>F-FDG PET scansMauro Namías, Matej Perovnik, Daniel Huff, et al.
Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment|November 11, 2020
Evaluation of a high resolution silicon PET insert moduleMilan Grkovski, Karol Brzezinski, Vladimir Cindro, et al.
Radiology and Oncology|July 30, 2020
[18F]FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumabDamijan Valentinuzzi, Martina Vrankar, Nina Boc, et al.
Physics in Medicine and Biology|December 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology|April 7, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction modelZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology|February 6, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk predictionZan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Pageof 3