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Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]
|
November 6, 2024
The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning
Florian Putz, Sogand Beirami, Manuel Alexander Schmidt, et al.
Neuro-Oncology Advances
|
August 19, 2024
Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma
Ahmed Gomaa, Yixing Huang, Amr Hagag, et al.
Cancers
|
September 28, 2023
Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal Radiotherapy Target Volume Design
Thomas Weissmann, Sina Mansoorian, Matthias Stefan May, et al.
Physics and Imaging in Radiation Oncology
|
September 22, 2025
Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures
Philipp Schubert, Matthias May, Daniel Höfler, et al.
Journal of Neuro-Oncology
|
May 1, 2025
Reirradiation for recurrent glioblastoma: the significance of the residual tumor volume
Sina Mansoorian, Manuel Schmidt, Thomas Weissmann, et al.
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Search research articles
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Showing results (11-20 of 15) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 15 results.
Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]
|
November 6, 2024
The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning
Florian Putz, Sogand Beirami, Manuel Alexander Schmidt, et al.
Neuro-Oncology Advances
|
August 19, 2024
Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma
Ahmed Gomaa, Yixing Huang, Amr Hagag, et al.
Cancers
|
September 28, 2023
Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal Radiotherapy Target Volume Design
Thomas Weissmann, Sina Mansoorian, Matthias Stefan May, et al.
Physics and Imaging in Radiation Oncology
|
September 22, 2025
Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures
Philipp Schubert, Matthias May, Daniel Höfler, et al.
Journal of Neuro-Oncology
|
May 1, 2025
Reirradiation for recurrent glioblastoma: the significance of the residual tumor volume
Sina Mansoorian, Manuel Schmidt, Thomas Weissmann, et al.
Page
of 2