AIMC Topic: Brain
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Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression.
IEEE transactions on neural networks and learning systems
Apr 4, 2025
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and irreversible dementia; thus, predicting its progression over time is vital for clinical diagnosis and treatment. For this, numerous studies have imple...
Effects of Renal Function on the Multimodal Brain Networks Affecting Mild Cognitive Impairment Converters in End-Stage Renal Disease.
Academic radiology
Apr 3, 2025
RATIONALE AND OBJECTIVES: Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, yet its neural mechanisms are poorly understood. This study investigates structural and functional brain network reconfiguration in ESRD patients transi...
Increased Global and Regional Connectivity in Propofol-induced Unconsciousness: Human Intracranial Electroencephalography Study.
Anesthesiology
Apr 3, 2025
BACKGROUND: The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity changes in unconscious state have been inconsistent. These inconsistencies could arise from unclear...
Radiomics across modalities: a comprehensive review of neurodegenerative diseases.
Clinical radiology
Apr 3, 2025
Radiomics allows extraction from medical images of quantitative features that are able to reveal tissue patterns that are generally invisible to human observers. Despite the challenges in visually interpreting radiomic features and the computational ...
LGFormer: integrating local and global representations for EEG decoding.
Journal of neural engineering
Apr 3, 2025
Electroencephalography (EEG) decoding is challenging because of its temporal variability and low signal-to-noise ratio, which complicate the extraction of meaningful information from signals. Although convolutional neural networks (CNNs) effectively ...
Does infection alter antifungal distribution: an animal model exploring pharmacokinetic changes.
Future microbiology
Apr 3, 2025
AIM: Assessing the disseminated meningitis caused by in Wistar rats and its impact on antifungal distribution by microdialysis (µD).
Asymmetric Adaptive Heterogeneous Network for Multi-Modality Medical Image Segmentation.
IEEE transactions on medical imaging
Apr 3, 2025
Existing studies of multi-modality medical image segmentation tend to aggregate all modalities without discrimination and employ multiple symmetric encoders or decoders for feature extraction and fusion. They often overlook the different contribution...
Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.
IEEE transactions on medical imaging
Apr 3, 2025
Amyloid- positron emission tomography can reflect the Amyloid- protein deposition in the brain and thus serves as one of the golden standards for Alzheimer's disease (AD) diagnosis. However, its practical cost and high radioactivity hinder its applic...
Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation.
IEEE transactions on medical imaging
Apr 3, 2025
Unsupervised domain adaptation (UDA) in medical image segmentation aims to improve the generalization of deep models by alleviating domain gaps caused by inconsistency across equipment, imaging protocols, and patient conditions. However, existing UDA...
Tackling Modality-Heterogeneous Client Drift Holistically for Heterogeneous Multimodal Federated Learning.
IEEE transactions on medical imaging
Apr 3, 2025
Multimodal Federated Learning (MFL) has emerged as a collaborative paradigm for training models across decentralized devices, harnessing various data modalities to facilitate effective learning while respecting data ownership. In this realm, notably,...
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