AIMC Topic: Algorithms

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BrainTract: segmentation of white matter fiber tractography and analysis of structural connectivity using hybrid convolutional neural network.

Neuroscience Jun 19, 2025
Tractography uses diffusion Magnetic Resonance Imaging (dMRI) to noninvasively reconstruct brain white matter (WM) tracts, with Convolutional Neural Network (CNNs) like U-Net significantly advancing accuracy in medical image segmentation. This work p...
White Matter Neural Pathways Diffusion Tensor Imaging Convolutional Neural Networks Image Processing, Computer-Assisted Humans Algorithms Brain Neural Networks, Computer
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Humans Algorithms Automobiles Diagnostic Imaging Radar Bayes Theorem Deep Learning Image Processing, Computer-Assisted
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Bio-inspired swarm of underwater robots: a review.

Bioinspiration & biomimetics Jun 19, 2025
With the in-depth integration of research across multiple disciplines, such as biomimetics, robotics, and sensing technology, significant advancements have been made in swarm robotics technology, which has been applied in areas including drone swarms...
Robotics Equipment Design Biomimetics Algorithms Animals Water Artificial Intelligence
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LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 18, 2025
Medical imaging models for object identification often rely on extensive pretraining data, which is difficult to obtain due to data scarcity and privacy constraints. In practice, hospitals typically have access only to pretrained model weights withou...
Musculoskeletal System Humans Algorithms Image Processing, Computer-Assisted Whole Body Imaging Ultrasonography
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Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study.

Computer methods and programs in biomedicine Jun 18, 2025
BACKGROUNDS AND OBJECTIVES: Cardiac arrhythmias, characterized by irregular heartbeats, are difficult to diagnose in real-world scenarios. Machine learning has advanced arrhythmia detection; however, the optimal number of heartbeats for precise class...
Neural Networks, Computer Machine Learning Algorithms Humans Signal Processing, Computer-Assisted Arrhythmias, Cardiac Telemedicine Convolutional Neural Networks Electrocardiography
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Interactive prototype learning and self-learning for few-shot medical image segmentation.

Artificial intelligence in medicine Jun 18, 2025
Few-shot learning alleviates the heavy dependence of medical image segmentation on large-scale labeled data, but it shows strong performance gaps when dealing with new tasks compared with traditional deep learning. Existing methods mainly learn the c...
Image Processing, Computer-Assisted Diagnostic Imaging Image Interpretation, Computer-Assisted Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 18, 2025
BACKGROUND: To develop radiogenomic subtypes and determine the relationships between radiomic phenotypes and multiomics molecular characteristics.
Humans Female Machine Learning Aged Radiomics Algorithms Retrospective Studies Neoplasms Genomics Unsupervised Machine Learning Male Middle Aged
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Develop intelligent waste bin prototype based on fusion feature recognition of sounds and RGB images.

Waste management (New York, N.Y.) Jun 18, 2025
Sorting municipal solid waste (MSW) at the source is a critical first step toward achieving a circular economy. Previous research has primarily focused on vision-based intelligent algorithms for MSW classification using red-green-blue (RGB) images. S...
Neural Networks, Computer Algorithms Refuse Disposal Sound Deep Learning Solid Waste Image Processing, Computer-Assisted Waste Management
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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets.

PloS one Jun 18, 2025
Breast cancer is a significant global health concern with rising incidence and mortality rates. Current diagnostic methods face challenges, necessitating improved approaches. This study employs various machine learning (ML) algorithms, including KNN,...
Breast Neoplasms Humans Algorithms Support Vector Machine Female Machine Learning Deep Learning
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Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model.

PloS one Jun 18, 2025
Monitoring the status of circular saw blades is an effective measure to ensure the production efficiency and safety of spent fuel assembly cutting. However, the prediction of wear during the cutting of stainless steel shells of spent fuel assemblies ...
Generative Adversarial Networks Neural Networks, Computer Models, Theoretical Algorithms Stainless Steel
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