AIMC Topic: Algorithms

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Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation.

IEEE transactions on medical imaging May 2, 2025
The limited availability of labeled data has driven advancements in semi-supervised learning for medical image segmentation. Modern large-scale models tailored for general segmentation, such as the Segment Anything Model (SAM), have revealed robust g...
Humans Image Processing, Computer-Assisted Algorithms Supervised Machine Learning
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Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography.

IEEE transactions on medical imaging May 2, 2025
Cardiac motion estimation is important for assessing the contractile health of the heart, and performing this in 3D can provide advantages due to the complex 3D geometry and motions of the heart. Deep learning image registration (DLIR) is a robust wa...
Humans Algorithms Adult Deep Learning Female Echocardiography, Three-Dimensional Unsupervised Machine Learning Heart
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Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis.

IEEE transactions on medical imaging May 2, 2025
Federated learning (FL) methods for multi-organ segmentation in CT scans are gaining popularity, but generally require numerous rounds of parameter exchange between a central server and clients. This repetitive sharing of parameters between server an...
Humans Image Processing, Computer-Assisted Machine Learning Federated Learning Algorithms Tomography, X-Ray Computed
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Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction.

IEEE transactions on medical imaging May 2, 2025
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown state-of-the-art results for highly-undersampled dynamic Magnetic Resonance Imaging (MRI) reconstruction. However, the requirement of excessive high-quality ground-truth data hi...
Humans Brain Magnetic Resonance Imaging Neural Networks, Computer Image Processing, Computer-Assisted Unsupervised Machine Learning Heart Algorithms
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UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation.

IEEE transactions on medical imaging May 2, 2025
Learning a generalizable medical image segmentation model is an important but challenging task since the unseen (testing) domains may have significant discrepancies from seen (training) domains due to different vendors and scanning protocols. Existin...
Humans Neural Networks, Computer Magnetic Resonance Imaging Algorithms Image Processing, Computer-Assisted
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Recruiting Teacher IF Modality for Nephropathy Diagnosis: A Customized Distillation Method With Attention-Based Diffusion Network.

IEEE transactions on medical imaging May 2, 2025
The joint use of multiple modalities for medical image processing has been widely studied in recent years. The fusion of information from different modalities has demonstrated the performance improvement for a lot of medical tasks. For nephropathy di...
Algorithms Kidney Image Interpretation, Computer-Assisted Kidney Diseases Humans Fluorescent Antibody Technique Neural Networks, Computer
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ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis.

IEEE transactions on neural networks and learning systems May 2, 2025
Dynamic treatment regimes (DTRs), which comprise a series of decisions taken to select adequate treatments, have attracted considerable attention in the clinical domain, especially from sepsis researchers. Existing sepsis DTR learning studies are mai...
Electronic Health Records Sepsis Decision Support Systems, Clinical Machine Learning Algorithms Humans Neural Networks, Computer
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How Can Anomalous-Diffusion Neural Networks Under Connectomics Generate Optimized Spatiotemporal Dynamics.

IEEE transactions on neural networks and learning systems May 2, 2025
Spatiotemporal dynamics in the brain have been recognized as strongly related to the formation of perceived and cognitive diseases, such as delusions and hallucinations in Alzheimer's disease. However, two practical considerations are rarely mentione...
Computer Simulation Spatio-Temporal Analysis Models, Neurological Algorithms Brain Connectome Nerve Net Neurons Nonlinear Dynamics Humans Neural Networks, Computer
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Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics.

IEEE transactions on neural networks and learning systems May 2, 2025
Mild cognitive impairment (MCI) represents an early stage of Alzheimer's disease (AD), characterized by subtle clinical symptoms that pose challenges for accurate diagnosis. The quest for the identification of MCI individuals has highlighted the impo...
Humans Imaging Genomics Alzheimer Disease Neuroimaging Deep Learning Cognitive Dysfunction Polymorphism, Single Nucleotide Magnetic Resonance Imaging Brain Genomics Neural Networks, Computer Aged Algorithms Male
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SAGN: Sparse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual-View Brain Networks.

IEEE transactions on neural networks and learning systems May 2, 2025
Due to the absence of a gold standard for threshold selection, brain networks constructed with inappropriate thresholds risk topological degradation or contain noise connections. Therefore, graph neural networks (GNNs) exhibit weak robustness and ove...
Humans Neural Networks, Computer Emotions Nerve Net Graph Neural Networks Algorithms Brain
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