AIMC Journal:
IEEE transactions on medical imaging

Showing 341 to 350 of 687 articles

Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging.

IEEE transactions on medical imaging Jul 30, 2021
For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the heart is used. To further detect e.g., pathological tissue, multiple imaging contrasts enable a thorough diagnosis using magnetic resonance imaging (MRI). For...
Deep Learning Imaging, Three-Dimensional Humans Heart Motion Magnetic Resonance Imaging Electrocardiography
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S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.

IEEE transactions on medical imaging Jul 30, 2021
Cortical surface registration is an essential step and prerequisite for surface-based neuroimaging analysis. It aligns cortical surfaces across individuals and time points to establish cross-sectional and longitudinal cortical correspondences to faci...
Neuroimaging Infant Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans Adult Cross-Sectional Studies
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Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.

IEEE transactions on medical imaging Jul 30, 2021
Large, fine-grained image segmentation datasets, annotated at pixel-level, are difficult to obtain, particularly in medical imaging, where annotations also require expert knowledge. Weakly-supervised learning can train models by relying on weaker for...
Humans Attention Semantics Supervised Machine Learning Image Processing, Computer-Assisted
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Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation.

IEEE transactions on medical imaging Jun 30, 2021
Separating and labeling each nuclear instance (instance-aware segmentation) is the key challenge in nuclear image segmentation. Deep Convolutional Neural Networks have been demonstrated to solve nuclear image segmentation tasks across different imagi...
Neural Networks, Computer Algorithms Fluorescent Antibody Technique Image Processing, Computer-Assisted Deep Learning
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Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis.

IEEE transactions on medical imaging Jun 30, 2021
Immunofixation Electrophoresis (IFE) analysis is of great importance to the diagnosis of Multiple Myeloma, which is among the top-9 cancer killers in the United States, but has rarely been studied in the context of deep learning. Two possible reasons...
Electrophoresis Deep Learning Humans Image Processing, Computer-Assisted Neoplasms
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Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy.

IEEE transactions on medical imaging Jun 30, 2021
Super-resolution (SR) methods have seen significant advances thanks to the development of convolutional neural networks (CNNs). CNNs have been successfully employed to improve the quality of endomicroscopy imaging. Yet, the inherent limitation of res...
Humans Computer Simulation Neural Networks, Computer
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Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.

IEEE transactions on medical imaging Jun 1, 2021
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and background. We present a CNNs-based...
Arteries Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer Lung
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Learning With Context Feedback Loop for Robust Medical Image Segmentation.

IEEE transactions on medical imaging Jun 1, 2021
Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive image features from a defined pixel-wise objective function. However, this approach can lead to less out...
Image Processing, Computer-Assisted Feedback Neural Networks, Computer
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Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation.

IEEE transactions on medical imaging Jun 1, 2021
Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for example, chronic kidney disease. Existing total kidney volume estimation methods often rely on an intermediate kidney segmentation step. On the other hand, automati...
Cross-Sectional Studies Tomography, X-Ray Computed Kidney Image Processing, Computer-Assisted Humans Neural Networks, Computer
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DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning.

IEEE transactions on medical imaging Apr 30, 2021
Optical diffraction tomography measures the three-dimensional refractive index map of a specimen and visualizes biochemical phenomena at the nanoscale in a non-destructive manner. One major drawback of optical diffraction tomography is poor axial res...
Tomography, Optical Deep Learning Neural Networks, Computer Humans Phantoms, Imaging Image Processing, Computer-Assisted Algorithms
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