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Scientific Reports
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October 30, 2024
A student trained convolutional neural network competing with a commercial AI software and experts in organ at risk segmentation
Sophia L Bürkle, Dejan Kuhn, Tobias Fechter, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 24, 2015
MRI versus ⁶⁸Ga-PSMA PET/CT for gross tumour volume delineation in radiation treatment planning of primary prostate cancer
Constantinos Zamboglou, Gesche Wieser, Steffen Hennies, et al.
Cancers
|
March 6, 2021
FDG-PET Radiomics for Response Monitoring in Non-Small-Cell Lung Cancer Treated with Radiation Therapy
Montserrat Carles, Tobias Fechter, Gianluca Radicioni, et al.
Physics and Imaging in Radiation Oncology
|
April 10, 2026
Periodic intrafraction image-guided focal dose-escalated stereotactic body radiotherapy for prostate carcinoma on a standard linear accelerator
Marco Serpa, Rolf Wiehle, Thomas Rothe, et al.
Cancers
|
July 24, 2021
<sup>18</sup>F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy
Montserrat Carles, Tobias Fechter, Anca L Grosu, et al.
Theranostics
|
May 28, 2019
Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference
Constantinos Zamboglou, Montserrat Carles, Tobias Fechter, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
January 17, 2025
Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [<sup>68</sup>Ga]Ga-PSMA-11 and [<sup>18</sup>F]PSMA-1007
Philipp Moritz Adrian Waibel, Ievgen Glavynskyi, Tobias Fechter, et al.
Radiation Oncology (London, England)
|
August 7, 2024
The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on <sup>18</sup>F-PSMA-1007 PET
Julius C Holzschuh, Michael Mix, Martin T Freitag, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
July 2, 2023
Deep learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer
Julius C Holzschuh, Michael Mix, Juri Ruf, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
August 22, 2019
Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference
Constantinos Zamboglou, Thomas F Fassbender, Lina Steffan, et al.
Page
of 4
Search research articles
Search
Showing results (21-30 of 33) with videos related to
Sort By:
Page
of 4
Scientific Reports
|
October 30, 2024
A student trained convolutional neural network competing with a commercial AI software and experts in organ at risk segmentation
Sophia L Bürkle, Dejan Kuhn, Tobias Fechter, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
November 24, 2015
MRI versus ⁶⁸Ga-PSMA PET/CT for gross tumour volume delineation in radiation treatment planning of primary prostate cancer
Constantinos Zamboglou, Gesche Wieser, Steffen Hennies, et al.
Cancers
|
March 6, 2021
FDG-PET Radiomics for Response Monitoring in Non-Small-Cell Lung Cancer Treated with Radiation Therapy
Montserrat Carles, Tobias Fechter, Gianluca Radicioni, et al.
Physics and Imaging in Radiation Oncology
|
April 10, 2026
Periodic intrafraction image-guided focal dose-escalated stereotactic body radiotherapy for prostate carcinoma on a standard linear accelerator
Marco Serpa, Rolf Wiehle, Thomas Rothe, et al.
Cancers
|
July 24, 2021
<sup>18</sup>F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy
Montserrat Carles, Tobias Fechter, Anca L Grosu, et al.
Theranostics
|
May 28, 2019
Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference
Constantinos Zamboglou, Montserrat Carles, Tobias Fechter, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
January 17, 2025
Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [<sup>68</sup>Ga]Ga-PSMA-11 and [<sup>18</sup>F]PSMA-1007
Philipp Moritz Adrian Waibel, Ievgen Glavynskyi, Tobias Fechter, et al.
Radiation Oncology (London, England)
|
August 7, 2024
The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on <sup>18</sup>F-PSMA-1007 PET
Julius C Holzschuh, Michael Mix, Martin T Freitag, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
July 2, 2023
Deep learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer
Julius C Holzschuh, Michael Mix, Juri Ruf, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
August 22, 2019
Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference
Constantinos Zamboglou, Thomas F Fassbender, Lina Steffan, et al.
Page
of 4