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Balthasar Schachtner

Showing results (1-10 of 20) with videos related to

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Radiologie (Heidelberg, Germany)|August 9, 2024
[Automatic ICD-10 coding : Natural language processing for German MRI reports]Andreas Mittermeier, Matthias Aßenmacher, Balthasar Schachtner, et al.
Investigative Radiology|July 23, 2020
Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest RadiographsJohannes Rueckel, Lena Trappmann, Balthasar Schachtner, et al.
European Radiology|October 4, 2023
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reportsKatharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|September 28, 2022
Artificial Intelligence in Oncological Hybrid ImagingBenedikt Feuerecker, Maurice M Heimer, Thomas Geyer, et al.
Investigative Radiology|July 28, 2023
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRCAnna Theresa Stüber, Stefan Coors, Balthasar Schachtner, et al.
Nuklearmedizin. Nuclear Medicine|October 6, 2023
Artificial Intelligence in Oncological Hybrid ImagingBenedikt Feuerecker, Maurice M Heimer, Thomas Geyer, et al.
European Radiology|March 28, 2021
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm trainingJohannes Rueckel, Christian Huemmer, Andreas Fieselmann, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CTAndreas Mittermeier, Paul Reidler, Matthias P Fabritius, et al.
Quantitative Imaging in Medicine and Surgery|November 4, 2022
Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasetsEva Gresser, Balthasar Schachtner, Anna Theresa Stüber, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|July 8, 2020
Availability of Transcatheter Vessel Occlusion Performed by Interventional Radiologists to Treat Bleeding in Germany in the Years 2016 and 2017 - An Analysis of the DeGIR Registry DataJonathan Nadjiri, Balthasar Schachtner, Arno Bücker, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Radiologie (Heidelberg, Germany)|August 9, 2024
[Automatic ICD-10 coding : Natural language processing for German MRI reports]Andreas Mittermeier, Matthias Aßenmacher, Balthasar Schachtner, et al.
Investigative Radiology|July 23, 2020
Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest RadiographsJohannes Rueckel, Lena Trappmann, Balthasar Schachtner, et al.
European Radiology|October 4, 2023
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reportsKatharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|September 28, 2022
Artificial Intelligence in Oncological Hybrid ImagingBenedikt Feuerecker, Maurice M Heimer, Thomas Geyer, et al.
Investigative Radiology|July 28, 2023
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRCAnna Theresa Stüber, Stefan Coors, Balthasar Schachtner, et al.
Nuklearmedizin. Nuclear Medicine|October 6, 2023
Artificial Intelligence in Oncological Hybrid ImagingBenedikt Feuerecker, Maurice M Heimer, Thomas Geyer, et al.
European Radiology|March 28, 2021
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm trainingJohannes Rueckel, Christian Huemmer, Andreas Fieselmann, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CTAndreas Mittermeier, Paul Reidler, Matthias P Fabritius, et al.
Quantitative Imaging in Medicine and Surgery|November 4, 2022
Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasetsEva Gresser, Balthasar Schachtner, Anna Theresa Stüber, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|July 8, 2020
Availability of Transcatheter Vessel Occlusion Performed by Interventional Radiologists to Treat Bleeding in Germany in the Years 2016 and 2017 - An Analysis of the DeGIR Registry DataJonathan Nadjiri, Balthasar Schachtner, Arno Bücker, et al.
Pageof 2