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Medical Image Analysis
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January 1, 2021
Semi-supervised task-driven data augmentation for medical image segmentation
Krishna Chaitanya, Neerav Karani, Christian F Baumgartner, et al.
Physics and Imaging in Radiation Oncology
|
March 17, 2025
Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy
Moritz Schneider, Simon Gutwein, David Mönnich, et al.
Skeletal Radiology
|
September 4, 2024
Evaluation of an automated laminar cartilage T2 relaxation time analysis method in an early osteoarthritis model
Wolfgang Wirth, Susanne Maschek, Anna Wisser, et al.
Magma (New York, N.Y.)
|
December 25, 2019
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain
Jana Kemnitz, Christian F Baumgartner, Felix Eckstein, et al.
IEEE Transactions on Medical Imaging
|
July 15, 2017
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
Christian F Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, et al.
Medical Image Analysis
|
June 28, 2014
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment
Christian F Baumgartner, Christoph Kolbitsch, Daniel R Balfour, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
August 21, 2020
Automated quantification of myocardial tissue characteristics from native T<sub>1</sub> mapping using neural networks with uncertainty-based quality-control
Esther Puyol-Antón, Bram Ruijsink, Christian F Baumgartner, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference
|
July 30, 2015
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets
Christian F Baumgartner, Alberto Gomez, Lisa M Koch, et al.
Arthritis Care & Research
|
December 18, 2020
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative
Felix Eckstein, Akshay S Chaudhari, David Fuerst, et al.
IEEE Transactions on Medical Imaging
|
January 24, 2017
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment
Xin Chen, Muhammad Usman, Christian F Baumgartner, et al.
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Showing results (11-20 of 23) with videos related to
Sort By:
Page
of 3
Medical Image Analysis
|
January 1, 2021
Semi-supervised task-driven data augmentation for medical image segmentation
Krishna Chaitanya, Neerav Karani, Christian F Baumgartner, et al.
Physics and Imaging in Radiation Oncology
|
March 17, 2025
Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy
Moritz Schneider, Simon Gutwein, David Mönnich, et al.
Skeletal Radiology
|
September 4, 2024
Evaluation of an automated laminar cartilage T2 relaxation time analysis method in an early osteoarthritis model
Wolfgang Wirth, Susanne Maschek, Anna Wisser, et al.
Magma (New York, N.Y.)
|
December 25, 2019
Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain
Jana Kemnitz, Christian F Baumgartner, Felix Eckstein, et al.
IEEE Transactions on Medical Imaging
|
July 15, 2017
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
Christian F Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, et al.
Medical Image Analysis
|
June 28, 2014
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment
Christian F Baumgartner, Christoph Kolbitsch, Daniel R Balfour, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
August 21, 2020
Automated quantification of myocardial tissue characteristics from native T<sub>1</sub> mapping using neural networks with uncertainty-based quality-control
Esther Puyol-Antón, Bram Ruijsink, Christian F Baumgartner, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference
|
July 30, 2015
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets
Christian F Baumgartner, Alberto Gomez, Lisa M Koch, et al.
Arthritis Care & Research
|
December 18, 2020
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative
Felix Eckstein, Akshay S Chaudhari, David Fuerst, et al.
IEEE Transactions on Medical Imaging
|
January 24, 2017
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment
Xin Chen, Muhammad Usman, Christian F Baumgartner, et al.
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of 3