AIMC Journal:
IEEE transactions on medical imaging
Showing 261 to 270 of 687 articles
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays.
IEEE transactions on medical imaging
Aug 1, 2022
Image representation is a fundamental task in computer vision. However, most of the existing approaches for image representation ignore the relations between images and consider each input image independently. Intuitively, relations between images ca...
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.
IEEE transactions on medical imaging
Aug 1, 2022
Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the edge information, which contains spatial features of vessels...
Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation.
IEEE transactions on medical imaging
Aug 1, 2022
Motion estimation in echocardiography plays an important role in the characterization of cardiac function, allowing the computation of myocardial deformation indices. However, there exist limitations in clinical practice, particularly with regard to ...
Self-Supervised Learning for Few-Shot Medical Image Segmentation.
IEEE transactions on medical imaging
Jun 30, 2022
Fully-supervised deep learning segmentation models are inflexible when encountering new unseen semantic classes and their fine-tuning often requires significant amounts of annotated data. Few-shot semantic segmentation (FSS) aims to solve this inflex...
Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data.
IEEE transactions on medical imaging
Jun 30, 2022
Functional ultrasound (fUS) is a rapidly emerging modality that enables whole-brain imaging of neural activity in awake and mobile rodents. To achieve sufficient blood flow sensitivity in the brain microvasculature, fUS relies on long ultrasound data...
Gesture Recognition in Robotic Surgery With Multimodal Attention.
IEEE transactions on medical imaging
Jun 30, 2022
Automatically recognising surgical gestures from surgical data is an important building block of automated activity recognition and analytics, technical skill assessment, intra-operative assistance and eventually robotic automation. The complexity of...
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
IEEE transactions on medical imaging
Jun 30, 2022
Studies have shown that there is a tight connection between cognition skills and brain morphology during infancy. Nonetheless, it is still a great challenge to predict individual cognitive scores using their brain morphological features, considering ...
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers.
IEEE transactions on medical imaging
Jun 30, 2022
Supervised reconstruction models are characteristically trained on matched pairs of undersampled and fully-sampled data to capture an MRI prior, along with supervision regarding the imaging operator to enforce data consistency. To reduce supervision ...
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis.
IEEE transactions on medical imaging
Jun 30, 2022
When deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, it is evident now that a large number of manually labeled data is often a must to train a properly fu...
Data-Driven Deep Supervision for Medical Image Segmentation.
IEEE transactions on medical imaging
Jun 1, 2022
Medical image segmentation plays a vital role in disease diagnosis and analysis. However, data-dependent difficulties such as low image contrast, noisy background, and complicated objects of interest render the segmentation problem challenging. These...
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