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Turkay Kart

Showing results (1-10 of 7) with videos related to

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European Heart Journal. Cardiovascular Imaging|July 7, 2023
Modelling relations between blood pressure, cardiovascular phenotype, and clinical factors using large scale imaging dataTurkay Kart, Mohanad Alkhodari, Winok Lapidaire, et al.
IEEE Transactions on Medical Imaging|February 9, 2022
Self-Supervised Learning for Few-Shot Medical Image SegmentationCheng Ouyang, Carlo Biffi, Chen Chen, et al.
Investigative Radiology|April 30, 2021
Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging StudiesTurkay Kart, Marc Fischer, Thomas Küstner, et al.
European Heart Journal. Digital Health|May 18, 2026
Applications of artificial intelligence and computational approaches to imaging for hypertension identification, phenotyping, and outcome prediction: a systematic reviewMohanad Alkhodari, Prenali D Sattwika, Hannah R Cutler, et al.
Scientific Reports|November 5, 2022
Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort StudiesTurkay Kart, Marc Fischer, Stefan Winzeck, et al.
Investigative Radiology|February 2, 2023
Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National CohortSergios Gatidis, Turkay Kart, Marc Fischer, et al.
Circulation|June 21, 2026
Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal StudyMohanad Alkhodari, Winok Lapidaire, Turkay Kart, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
European Heart Journal. Cardiovascular Imaging|July 7, 2023
Modelling relations between blood pressure, cardiovascular phenotype, and clinical factors using large scale imaging dataTurkay Kart, Mohanad Alkhodari, Winok Lapidaire, et al.
IEEE Transactions on Medical Imaging|February 9, 2022
Self-Supervised Learning for Few-Shot Medical Image SegmentationCheng Ouyang, Carlo Biffi, Chen Chen, et al.
Investigative Radiology|April 30, 2021
Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging StudiesTurkay Kart, Marc Fischer, Thomas Küstner, et al.
European Heart Journal. Digital Health|May 18, 2026
Applications of artificial intelligence and computational approaches to imaging for hypertension identification, phenotyping, and outcome prediction: a systematic reviewMohanad Alkhodari, Prenali D Sattwika, Hannah R Cutler, et al.
Scientific Reports|November 5, 2022
Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort StudiesTurkay Kart, Marc Fischer, Stefan Winzeck, et al.
Investigative Radiology|February 2, 2023
Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National CohortSergios Gatidis, Turkay Kart, Marc Fischer, et al.
Circulation|June 21, 2026
Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal StudyMohanad Alkhodari, Winok Lapidaire, Turkay Kart, et al.
Pageof 1