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Michael Baumgartner

Showing results (31-40 of 41) with videos related to

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Scientific Reports|November 13, 2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancerBalint Kovacs, Nils Netzer, Michael Baumgartner, et al.
Magnetic Resonance Imaging|May 7, 2026
Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detectionBalint Kovacs, Kevin Sun Zhang, Michael Baumgartner, et al.
Journal of the American Medical Informatics Association : JAMIA|September 23, 2025
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workloadDimitrios Bounias, Lina Simons, Michael Baumgartner, et al.
Nature Communications|August 15, 2023
Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic strokeGianluca Brugnara, Michael Baumgartner, Edwin David Scholze, et al.
Healthcare (Basel, Switzerland)|November 11, 2022
AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive MedicineViktoria Palm, Tobias Norajitra, Oyunbileg von Stackelberg, et al.
Neuroimage|May 30, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challengeKimberley M Timmins, Irene C van der Schaaf, Edwin Bennink, et al.
Medical Image Analysis|January 21, 2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challengeVladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, et al.
Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Nature Methods|February 12, 2024
Metrics reloaded: recommendations for image analysis validationLena Maier-Hein, Annika Reinke, Patrick Godau, et al.
Arxiv|March 22, 2023
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Pageof 5

Showing results (31-40 of 41) with videos related to

Sort By:
Pageof 5
Scientific Reports|November 13, 2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancerBalint Kovacs, Nils Netzer, Michael Baumgartner, et al.
Magnetic Resonance Imaging|May 7, 2026
Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detectionBalint Kovacs, Kevin Sun Zhang, Michael Baumgartner, et al.
Journal of the American Medical Informatics Association : JAMIA|September 23, 2025
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workloadDimitrios Bounias, Lina Simons, Michael Baumgartner, et al.
Nature Communications|August 15, 2023
Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic strokeGianluca Brugnara, Michael Baumgartner, Edwin David Scholze, et al.
Healthcare (Basel, Switzerland)|November 11, 2022
AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive MedicineViktoria Palm, Tobias Norajitra, Oyunbileg von Stackelberg, et al.
Neuroimage|May 30, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challengeKimberley M Timmins, Irene C van der Schaaf, Edwin Bennink, et al.
Medical Image Analysis|January 21, 2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challengeVladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, et al.
Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Nature Methods|February 12, 2024
Metrics reloaded: recommendations for image analysis validationLena Maier-Hein, Annika Reinke, Patrick Godau, et al.
Arxiv|March 22, 2023
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Pageof 5