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STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution
Cardiac magnetic resonance imaging (MRI) is considered the gold standard for both visual and quantitative evaluation of he...
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images
The management of a variety of vision-threatening retinal conditions can be substantially improved with the aid of imaging...
Constructing hierarchical attentive functional brain networks for early AD diagnosis
Constructing hierarchical attentive functional brain networks for early AD diagnosis
Alzheimer’s disease (AD), the most common form of dementia in elderly people, is an irreversible and incurable neurodegene...
CellViT: Vision Transformers for precise cell segmentation and classification
CellViT: Vision Transformers for precise cell segmentation and classification
Selma Ugurel studied medicine at the Heinrich-Heine University Düsseldorf and RWTH Aachen University (Germany). Subsequent...
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis
During recent decades, functional magnetic resonance imaging (fMRI)-derived functional connectivity network (FCN) or funct...
Self-supervised learning for medical image data with anatomy-oriented imaging planes
Self-supervised learning for medical image data with anatomy-oriented imaging planes
Medical image analysis (MedIA) has important clinical applications, including diagnosis (Silveira et al., 2009), quantitat...
Classification, registration and segmentation of ear canal impressions using convolutional neural networks
Classification, registration and segmentation of ear canal impressions using convolutional neural networks
Hearing loss is an important public healthcare problem that affects the quality of life for 1.5 Billion people around the ...
Automatic multi-view pose estimation in focused cardiac ultrasound
Automatic multi-view pose estimation in focused cardiac ultrasound
Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating cardiovascular structures and functio...
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Self-supervised learning (SSL) aims to learn generalizable representations without relying on expert annotations. The main...