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Lucas Etzel

Showing results (11-20 of 16) with videos related to

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Cureus|November 25, 2024
Cross-Professional Evaluation of 3D Visualization of Liver Malignancies in the Decade of AI and Automatic Segmentation: A Benefit for Multidisciplinary Teams and Tumor Board Decisions?Christian Heiliger, Dorian Andrade, Lucas Etzel, et al.
Scientific Reports|August 29, 2024
CT-based radiomics for predicting breast cancer radiotherapy side effectsÓscar Llorián-Salvador, Nora Windeler, Nicole Martin, et al.
Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]|August 6, 2024
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectivesAyhan Can Erdur, Daniel Rusche, Daniel Scholz, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 23, 2024
Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomasJan C Peeken, Lucas Etzel, Tim Tomov, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 28, 2022
Development and external validation of an MRI-based neural network for brain metastasis segmentation in the AURORA multicenter studyJosef A Buchner, Florian Kofler, Lucas Etzel, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 7, 2023
Identifying core MRI sequences for reliable automatic brain metastasis segmentationJosef A Buchner, Jan C Peeken, Lucas Etzel, et al.
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Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
Cureus|November 25, 2024
Cross-Professional Evaluation of 3D Visualization of Liver Malignancies in the Decade of AI and Automatic Segmentation: A Benefit for Multidisciplinary Teams and Tumor Board Decisions?Christian Heiliger, Dorian Andrade, Lucas Etzel, et al.
Scientific Reports|August 29, 2024
CT-based radiomics for predicting breast cancer radiotherapy side effectsÓscar Llorián-Salvador, Nora Windeler, Nicole Martin, et al.
Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]|August 6, 2024
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectivesAyhan Can Erdur, Daniel Rusche, Daniel Scholz, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 23, 2024
Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomasJan C Peeken, Lucas Etzel, Tim Tomov, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 28, 2022
Development and external validation of an MRI-based neural network for brain metastasis segmentation in the AURORA multicenter studyJosef A Buchner, Florian Kofler, Lucas Etzel, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 7, 2023
Identifying core MRI sequences for reliable automatic brain metastasis segmentationJosef A Buchner, Jan C Peeken, Lucas Etzel, et al.
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