AIMC Journal:
IEEE transactions on medical imaging

Showing 351 to 360 of 687 articles

Image Compositing for Segmentation of Surgical Tools Without Manual Annotations.

IEEE transactions on medical imaging Apr 30, 2021
Producing manual, pixel-accurate, image segmentation labels is tedious and time-consuming. This is often a rate-limiting factor when large amounts of labeled images are required, such as for training deep convolutional networks for instrument-backgro...
Neural Networks, Computer Image Processing, Computer-Assisted Surgical Instruments
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Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition.

IEEE transactions on medical imaging Apr 30, 2021
The combination of multimodal imaging and genomics provides a more comprehensive way for the study of mental illnesses and brain functions. Deep network-based data fusion models have been developed to capture their complex associations, resulting in ...
Neural Networks, Computer Cognition Deep Learning Brain Magnetic Resonance Imaging
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Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability.

IEEE transactions on medical imaging Apr 30, 2021
Modeling of hemodynamics and artificial intelligence have great potential to support clinical diagnosis and decision making. While hemodynamics modeling is extremely time- and resource-consuming, machine learning (ML) typically requires large trainin...
Models, Cardiovascular Aortic Coarctation Humans Aorta Hemodynamics Magnetic Resonance Imaging Artificial Intelligence
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A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy.

IEEE transactions on medical imaging Apr 30, 2021
Ultrasound Localization Microscopy (ULM) can resolve the microvascular bed down to a few micrometers. To achieve such performance, microbubble contrast agents must perfuse the entire microvascular network. Microbubbles are then located individually a...
Neural Networks, Computer Microbubbles Microscopy Image Processing, Computer-Assisted Ultrasonography Animals Deep Learning Mice
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SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation.

IEEE transactions on medical imaging Apr 30, 2021
In clinics, the information about the appearance and location of brain tumors is essential to assist doctors in diagnosis and treatment. Automatic brain tumor segmentation on the images acquired by magnetic resonance imaging (MRI) is a common way to ...
Magnetic Resonance Imaging Deep Learning Brain Neoplasms Humans
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Myocardial Function Imaging in Echocardiography Using Deep Learning.

IEEE transactions on medical imaging Apr 30, 2021
Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic value than conventional anatomical measures such as ejection fraction. However, despite clinical availability and demonstrated efficacy, everyday clinical...
Motion Heart Ventricles Echocardiography Heart Deep Learning Humans
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Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.

IEEE transactions on medical imaging Apr 1, 2021
Convolutional Neural Networks (CNNs) have achieved overwhelming success in learning-related problems for 2D/3D images in the Euclidean space. However, unlike in the Euclidean space, the shapes of many structures in medical imaging have an inherent sp...
Neural Networks, Computer Image Processing, Computer-Assisted Imaging, Three-Dimensional
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Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning.

IEEE transactions on medical imaging Apr 1, 2021
Automatic thoracic disease diagnosis is a rising research topic in the medical imaging community, with many potential applications. However, the inconsistent appearances and high complexities of various lesions in chest X-rays currently hinder the de...
Humans Neural Networks, Computer Radiography Thoracic Diseases Attention Lung
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Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network.

IEEE transactions on medical imaging Apr 1, 2021
Diffuse reverberation is ultrasound image noise caused by multiple reflections of the transmitted pulse before returning to the transducer, which degrades image quality and impedes the estimation of displacement or flow in techniques such as elastogr...
Phantoms, Imaging Signal-To-Noise Ratio Ultrasonography Neural Networks, Computer
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A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

IEEE transactions on medical imaging Apr 1, 2021
Fetal cortical plate segmentation is essential in quantitative analysis of fetal brain maturation and cortical folding. Manual segmentation of the cortical plate, or manual refinement of automatic segmentations is tedious and time-consuming. Automati...
Neural Networks, Computer Cerebral Cortex Magnetic Resonance Imaging Fetus Image Processing, Computer-Assisted
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