AIMC Topic: Unsupervised Machine Learning

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Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 6, 2025
Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for external devices, have applications in active prosthesis control. However, the statistical characteristics of EMG signals change over time (e.g., beca...
Artificial Limbs Online Systems Male User-Computer Interface Unsupervised Machine Learning Electromyography Female Muscle, Skeletal Reproducibility of Results Humans Adult Algorithms
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Tracking the spatiotemporal evolution of groundwater chemistry in the Quaternary aquifer system of Debrecen area, Hungary: integration of classical and unsupervised learning methods.

Environmental science and pollution research international Mar 1, 2025
Monitoring changes in groundwater quality over time helps identify time-dependent factors influencing water safety and supports the development of effective management strategies. This study investigates the spatiotemporal evolution of groundwater ch...
Groundwater Environmental Monitoring Principal Component Analysis Cluster Analysis Hungary Unsupervised Machine Learning Water Quality Water Pollutants, Chemical
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AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI.

Computer methods and programs in biomedicine Feb 27, 2025
BACKGROUND AND OBJECTIVE: Diffusion models have demonstrated their ability in image generation and solving inverse problems like restoration. Unlike most existing deep-learning based image restoration techniques which rely on unpaired or paired data ...
Unsupervised Machine Learning Motion Artifacts Brain Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms
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Structural Similarity, Activity, and Toxicity of Mycotoxins: Combining Insights from Unsupervised and Supervised Machine Learning Algorithms.

Journal of agricultural and food chemistry Feb 27, 2025
A large number of mycotoxins and related fungal metabolites have not been assessed in terms of their toxicological impacts. Current methodologies often prioritize specific target families, neglecting the complexity and presence of co-occurring compou...
Mycotoxins Supervised Machine Learning Structure-Activity Relationship Molecular Structure Machine Learning Algorithms Cluster Analysis Unsupervised Machine Learning Humans Animals Neural Networks, Computer
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Supervised and unsupervised deep learning-based approaches for studying DNA replication spatiotemporal dynamics.

Communications biology Feb 26, 2025
In eukaryotic cells, DNA replication is organised both spatially and temporally, as evidenced by the stage-specific spatial distribution of replication foci in the nucleus. Despite the genetic association of aberrant DNA replication with numerous hum...
Cyclin E S Phase Telomere-Binding Proteins Mouse Embryonic Stem Cells DNA Replication Animals Deep Learning Unsupervised Machine Learning Supervised Machine Learning Mice Humans
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CycleH-CUT: an unsupervised medical image translation method based on cycle consistency and hybrid contrastive learning.

Physics in medicine and biology Feb 26, 2025
Unsupervised medical image translation tasks are challenging due to the difficulty of obtaining perfectly paired medical images. CycleGAN-based methods have proven effective in unpaired medical image translation. However, these methods can produce ar...
Unsupervised Machine Learning Humans Image Processing, Computer-Assisted
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Unsupervised learning from EEG data for epilepsy: A systematic literature review.

Artificial intelligence in medicine Feb 21, 2025
BACKGROUND AND OBJECTIVES: Epilepsy is a neurological disorder characterized by recurrent epileptic seizures, whose neurophysiological signature is altered electroencephalographic (EEG) activity. The use of artificial intelligence (AI) methods on EEG...
Humans Algorithms Epilepsy Unsupervised Machine Learning Electroencephalography
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High throughput analysis of rare nanoparticles with deep-enhanced sensitivity via unsupervised denoising.

Nature communications Feb 20, 2025
The large-scale multiparametric analysis of individual nanoparticles is increasingly vital in the diverse fields of biology, medicine, and materials science. However, the current methods struggle with the tradeoff between measurement scalability and ...
Deep Learning Extracellular Vesicles Nanoparticles Humans Colorectal Neoplasms High-Throughput Screening Assays Unsupervised Machine Learning Polystyrenes
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IConDiffNet: an unsupervised inverse-consistent diffeomorphic network for medical image registration.

Physics in medicine and biology Feb 20, 2025
Deformable image registration (DIR) is critical in many medical imaging applications. Diffeomorphic transformations, which are smooth invertible mappings with smooth inverses preserve topological properties and are an anatomically plausible means of ...
Unsupervised Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Brain Neural Networks, Computer
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Unsupervised neural network-based image stitching method for bladder endoscopy.

PloS one Feb 18, 2025
Bladder endoscopy enables the observation of intravesical lesion characteristics, making it an essential tool in urology. Image stitching techniques are commonly employed to expand the field of view of bladder endoscopy. Traditional image stitching m...
Humans Neural Networks, Computer Unsupervised Machine Learning Algorithms Endoscopy Cystoscopy Image Processing, Computer-Assisted Urinary Bladder
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