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Multi-level brain-guided fusion to reinforce spiking neural network in image classification
Spiking Neural Networks (SNNs) can be a suitable alternative to deep artificial neural networks due to efficient computation and low-power...
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An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Early diagnosis of brain tumor using magnetic resonance imaging (MRI) is vital for timely medication and effective treatment. But, most people living...
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A personality-guided affective brain—computer interface for implementation of emotional intelligence in machines
Affective brain—computer interfaces have become an increasingly important topic to achieve emotional intelligence in human—machine collaboration....
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Visually evoked brain signals guided image regeneration using GAN variants
Generative Adversarial Networks have recently proven to be very effective in generative applications involving images, and they are now being used to...
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Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
Modeling and characterizing functional brain networks from task-based functional magnetic resonance imaging (fMRI) data has been a popular topic in...
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Knowledge-Guided Segmentation of Isointense Infant Brain
Tissue segmentation of infants could lead to early diagnosis of neurological disorders, potentially enabling early interventions. However, the...
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DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
The rapid increment of morbidity of brain stroke in the last few years have been a driving force towards fast and accurate segmentation of stroke...
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A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation
An increase in signal-to-noise ratio (SNR) and susceptibility-induced contrast at higher field strengths, e.g., 7T, is crucial for medical image...
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UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation
Test Time Adaptation (TTA) is promising to improve a deep learning model’s robustness when encountering images from an unseen domain. Existing TTA...
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Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning
Homologous anatomical landmarks between medical scans are instrumental in quantitative assessment of image registration quality in various clinical...
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An integrated convolutional neural network with attention guidance for improved performance of medical image classification
Today, it becomes essential to develop computer vision algorithms that are both highly effective and cost-effective for supporting physicians'...
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A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks
Since the complex brain functions are achieved by the interaction of functional brain networks with the specific spatial distributions and temporal...
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Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
Brain age estimation based on magnetic resonance imaging (MRI) is an active research area in early diagnosis of some neurodegenerative diseases (e.g....
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Emotion recognition with attention mechanism-guided dual-feature multi-path interaction network
Electroencephalography (EEG)-based emotion recognition has gained widespread attention recently. Although many deep learning methods have been...
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MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification
Brain tumor is the most common and deadliest disease that can be found in all age groups. Generally, MRI modality is adopted for identifying and...
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BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis
The functional connectivity (FC) between brain regions is usually estimated through a statistical dependency method with functional magnetic...
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Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks
It has been widely demonstrated that complex brain function is mediated by the interaction of multiple concurrent brain functional networks, each of...
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CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
Current brain science reveals that the connectivity patterns of the human brain are constantly changing when performing different tasks. Thus, brain...
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Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
The Circle of Willis (CoW) is the part of cerebral vasculature responsible for delivering blood to the brain. Understanding the diverse anatomical...
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Data-driven simulation of network-based tau spreading tailored to individual Alzheimer's patients
Tau tangles in the brain cortex spread along the brain network in distinct patterns among Alzheimer's patients. We aim to simulate their...
