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Ralf Floca

Showing results (21-30 of 28) with videos related to

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Magnetic Resonance in Medicine|October 13, 2023
A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)Ben R Dickie, Zaki Ahmed, Jonathan Arvidsson, 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.
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.
JMIR AI|December 9, 2024
Current State of Community-Driven Radiological AI Deployment in Medical ImagingVikash Gupta, Barbaros Erdal, Carolina Ramirez, 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.
Insights Into Imaging|June 2, 2024
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomicsRalf Floca, Jonas Bohn, Christian Haux, et al.
JCO Clinical Cancer Informatics|November 9, 2020
Joint Imaging Platform for Federated Clinical Data AnalyticsJonas Scherer, Marco Nolden, Jens Kleesiek, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 3

Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Magnetic Resonance in Medicine|October 13, 2023
A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)Ben R Dickie, Zaki Ahmed, Jonathan Arvidsson, 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.
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.
JMIR AI|December 9, 2024
Current State of Community-Driven Radiological AI Deployment in Medical ImagingVikash Gupta, Barbaros Erdal, Carolina Ramirez, 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.
Insights Into Imaging|June 2, 2024
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomicsRalf Floca, Jonas Bohn, Christian Haux, et al.
JCO Clinical Cancer Informatics|November 9, 2020
Joint Imaging Platform for Federated Clinical Data AnalyticsJonas Scherer, Marco Nolden, Jens Kleesiek, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 3