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Einar Heiberg

Showing results (1-10 of 128) with videos related to

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Computers in Biology and Medicine|August 3, 2024
Random effects during training: Implications for deep learning-based medical image segmentationJulius Åkesson, Johannes Töger, Einar Heiberg
3D Printing in Medicine|March 5, 2025
Generalizable deep learning framework for 3D medical image segmentation using limited training dataTobias Ekman, Arthur Barakat, Einar Heiberg
Clinical Physiology and Functional Imaging|June 14, 2021
Non-invasive quantification of pressure-volume loops from cardiovascular magnetic resonance at rest and during dobutamine stressPia Sjöberg, Felicia Seemann, Håkan Arheden, et al.
Pediatric Cardiology|November 5, 2022
Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical UseDaniel Ryd, Amanda Nilsson, Einar Heiberg, et al.
American Journal of Physiology. Heart and Circulatory Physiology|February 20, 2007
The quantitative relationship between longitudinal and radial function in left, right, and total heart pumping in humansMarcus Carlsson, Martin Ugander, Einar Heiberg, et al.
Pediatric Cardiology|April 9, 2022
Pulse Wave Velocity Measurements by Magnetic Resonance Imaging in Neonates and Adolescents: Methodological Aspects and Their Clinical ImplicationsSimon Lundström, Jonas Liefke, Einar Heiberg, et al.
Clinical Physiology and Functional Imaging|September 3, 2025
Retrospectively synchronized time-resolved ventricular cine images from 2D real-time exercise cardiac magnetic resonance imagingJulius Åkesson, Jonathan Edlund, Katarina Steding-Ehrenborg, et al.
Scientific Reports|January 21, 2023
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysisJulius Åkesson, Ellen Ostenfeld, Marcus Carlsson, et al.
BMC Cardiovascular Disorders|June 6, 2022
Non-invasive quantification of pressure-volume loops in patients with Fontan circulationPia Sjöberg, Petru Liuba, Håkan Arheden, et al.
Clinical Physiology and Functional Imaging|July 15, 2022
Haemodynamic left-ventricular changes during dobutamine stress in patients with atrial septal defect assessed with magnetic resonance imaging-based pressure-volume loopsPia Sjöberg, Håkan Arheden, Einar Heiberg, et al.
Pageof 13

Showing results (1-10 of 128) with videos related to

Sort By:
Pageof 13
Computers in Biology and Medicine|August 3, 2024
Random effects during training: Implications for deep learning-based medical image segmentationJulius Åkesson, Johannes Töger, Einar Heiberg
3D Printing in Medicine|March 5, 2025
Generalizable deep learning framework for 3D medical image segmentation using limited training dataTobias Ekman, Arthur Barakat, Einar Heiberg
Clinical Physiology and Functional Imaging|June 14, 2021
Non-invasive quantification of pressure-volume loops from cardiovascular magnetic resonance at rest and during dobutamine stressPia Sjöberg, Felicia Seemann, Håkan Arheden, et al.
Pediatric Cardiology|November 5, 2022
Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical UseDaniel Ryd, Amanda Nilsson, Einar Heiberg, et al.
American Journal of Physiology. Heart and Circulatory Physiology|February 20, 2007
The quantitative relationship between longitudinal and radial function in left, right, and total heart pumping in humansMarcus Carlsson, Martin Ugander, Einar Heiberg, et al.
Pediatric Cardiology|April 9, 2022
Pulse Wave Velocity Measurements by Magnetic Resonance Imaging in Neonates and Adolescents: Methodological Aspects and Their Clinical ImplicationsSimon Lundström, Jonas Liefke, Einar Heiberg, et al.
Clinical Physiology and Functional Imaging|September 3, 2025
Retrospectively synchronized time-resolved ventricular cine images from 2D real-time exercise cardiac magnetic resonance imagingJulius Åkesson, Jonathan Edlund, Katarina Steding-Ehrenborg, et al.
Scientific Reports|January 21, 2023
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysisJulius Åkesson, Ellen Ostenfeld, Marcus Carlsson, et al.
BMC Cardiovascular Disorders|June 6, 2022
Non-invasive quantification of pressure-volume loops in patients with Fontan circulationPia Sjöberg, Petru Liuba, Håkan Arheden, et al.
Clinical Physiology and Functional Imaging|July 15, 2022
Haemodynamic left-ventricular changes during dobutamine stress in patients with atrial septal defect assessed with magnetic resonance imaging-based pressure-volume loopsPia Sjöberg, Håkan Arheden, Einar Heiberg, et al.
Pageof 13