AIMC Topic: Unsupervised Machine Learning

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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 ...
Humans Image Processing, Computer-Assisted Artifacts Algorithms Magnetic Resonance Imaging Brain Unsupervised Machine Learning Motion
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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...
Neural Networks, Computer Machine Learning Animals Molecular Structure Unsupervised Machine Learning Cluster Analysis Algorithms Humans Mycotoxins Structure-Activity Relationship Supervised Machine Learning
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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...
S Phase Telomere-Binding Proteins DNA Replication Cyclin E Supervised Machine Learning Mouse Embryonic Stem Cells Humans Animals Mice Unsupervised Machine Learning Deep Learning
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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...
Humans Image Processing, Computer-Assisted Unsupervised Machine Learning
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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...
Epilepsy Unsupervised Machine Learning Electroencephalography Humans Algorithms
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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 ...
Unsupervised Machine Learning Polystyrenes High-Throughput Screening Assays Extracellular Vesicles Nanoparticles Colorectal Neoplasms Deep Learning Humans
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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 ...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Unsupervised Machine Learning Algorithms Brain
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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...
Image Processing, Computer-Assisted Urinary Bladder Cystoscopy Humans Algorithms Neural Networks, Computer Unsupervised Machine Learning Endoscopy
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Unsupervised cross-modality domain adaptation via source-domain labels guided contrastive learning for medical image segmentation.

Medical & biological engineering & computing Feb 13, 2025
Unsupervised domain adaptation (UDA) offers a promising approach to enhance discriminant performance on target domains by utilizing domain adaptation techniques. These techniques enable models to leverage knowledge from the source domain to adjust to...
Image Processing, Computer-Assisted Humans Unsupervised Machine Learning Algorithms Heart
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An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques.

Scientific reports Feb 13, 2025
Nowadays, human beings suffer from varieties of diseases due to the environmental circumstances and their residing habits. Cardiovascular diseases (CVD) are the leading cause of mortality among all diseases. CVDs are heart-related diseases. In early ...
Risk Factors Male Cardiovascular Diseases Humans Female Unsupervised Machine Learning India Principal Component Analysis Cluster Analysis
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