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Michael Ingrisch

Showing results (41-50 of 119) with videos related to

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Investigative Radiology|December 30, 2015
Intravoxel Incoherent Motion Magnetic Resonance Imaging in Partially Nephrectomized KidneysMoritz Jörg Schneider, Olaf Dietrich, Michael Ingrisch, 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.
International Journal of Legal Medicine|January 29, 2024
Radiological age assessment based on clavicle ossification in CT: enhanced accuracy through deep learningPhilipp Wesp, Balthasar Maria Schachtner, Katharina Jeblick, et al.
Radiology|February 23, 2021
Machine Learning-based Differentiation of Benign and Premalignant Colorectal Polyps Detected with CT Colonography in an Asymptomatic Screening Population: A Proof-of-Concept StudySergio Grosu, Philipp Wesp, Anno Graser, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 18, 2017
Prediction of <sup>90</sup>Y Radioembolization Outcome from Pretherapeutic Factors with Random Survival ForestsMichael Ingrisch, Franziska Schöppe, Karolin Paprottka, et al.
European Journal of Cancer (Oxford, England : 1990)|December 12, 2018
Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learningBogdana Suchorska, Ulrich Schüller, Annamaria Biczok, 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.
BMC Cancer|May 8, 2015
Reducing tumor growth and angiogenesis using a triple therapy measured with Contrast-enhanced ultrasound (CEUS)Philipp Marius Paprottka, Svenja Roßpunt, Michael Ingrisch, et al.
Critical Care Medicine|May 21, 2020
Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified RadiologistsJohannes Rueckel, Wolfgang G Kunz, Boj F Hoppe, et al.
European Urology Focus|September 17, 2022
Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder CancerEva Gresser, Piotr Woźnicki, Katharina Messmer, et al.
Pageof 12

Showing results (41-50 of 119) with videos related to

Sort By:
Pageof 12
Investigative Radiology|December 30, 2015
Intravoxel Incoherent Motion Magnetic Resonance Imaging in Partially Nephrectomized KidneysMoritz Jörg Schneider, Olaf Dietrich, Michael Ingrisch, 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.
International Journal of Legal Medicine|January 29, 2024
Radiological age assessment based on clavicle ossification in CT: enhanced accuracy through deep learningPhilipp Wesp, Balthasar Maria Schachtner, Katharina Jeblick, et al.
Radiology|February 23, 2021
Machine Learning-based Differentiation of Benign and Premalignant Colorectal Polyps Detected with CT Colonography in an Asymptomatic Screening Population: A Proof-of-Concept StudySergio Grosu, Philipp Wesp, Anno Graser, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 18, 2017
Prediction of <sup>90</sup>Y Radioembolization Outcome from Pretherapeutic Factors with Random Survival ForestsMichael Ingrisch, Franziska Schöppe, Karolin Paprottka, et al.
European Journal of Cancer (Oxford, England : 1990)|December 12, 2018
Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learningBogdana Suchorska, Ulrich Schüller, Annamaria Biczok, 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.
BMC Cancer|May 8, 2015
Reducing tumor growth and angiogenesis using a triple therapy measured with Contrast-enhanced ultrasound (CEUS)Philipp Marius Paprottka, Svenja Roßpunt, Michael Ingrisch, et al.
Critical Care Medicine|May 21, 2020
Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified RadiologistsJohannes Rueckel, Wolfgang G Kunz, Boj F Hoppe, et al.
European Urology Focus|September 17, 2022
Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder CancerEva Gresser, Piotr Woźnicki, Katharina Messmer, et al.
Pageof 12