AIMC Topic: Unsupervised Machine Learning

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IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis.

IEEE transactions on medical imaging Jan 2, 2025
Contrastive learning (CL) is a form of self-supervised learning and has been widely used for various tasks. Different from widely studied instance-level contrastive learning, pixel-wise contrastive learning mainly helps with pixel-wise dense predicti...
Unsupervised Machine Learning Algorithms Image Processing, Computer-Assisted Humans
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Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach.

IEEE transactions on medical imaging Jan 2, 2025
The linear mixed-effects model is commonly utilized to interpret longitudinal data, characterizing both the global longitudinal trajectory across all observations and longitudinal trajectories within individuals. However, characterizing these traject...
Humans Algorithms Male Image Processing, Computer-Assisted Longitudinal Studies Brain Female Alzheimer Disease Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Unsupervised Machine Learning
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Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.

IEEE transactions on medical imaging Jan 2, 2025
Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Despite the remarkable achievements of deep learning-based non-blind denoising methods, their performance drops significantly when domain shifts exist bet...
Signal-To-Noise Ratio Mice Unsupervised Machine Learning Algorithms Brain Deep Learning Humans Animals Image Processing, Computer-Assisted
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Ultrasound Report Generation With Cross-Modality Feature Alignment via Unsupervised Guidance.

IEEE transactions on medical imaging Jan 2, 2025
Automatic report generation has arisen as a significant research area in computer-aided diagnosis, aiming to alleviate the burden on clinicians by generating reports automatically based on medical images. In this work, we propose a novel framework fo...
Humans Algorithms Unsupervised Machine Learning Supervised Machine Learning Image Interpretation, Computer-Assisted Databases, Factual Ultrasonography
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Style mixup enhanced disentanglement learning for unsupervised domain adaptation in medical image segmentation.

Medical image analysis Dec 30, 2024
Unsupervised domain adaptation (UDA) has shown impressive performance by improving the generalizability of the model to tackle the domain shift problem for cross-modality medical segmentation. However, most of the existing UDA approaches depend on hi...
Humans Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning
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Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach.

Substance use & misuse Dec 30, 2024
BACKGROUND: Previous studies identified e-cigarette content on popular video and image-based social media platforms such as TikTok. While machine learning approaches have been increasingly used with text-based social media data, image-based analysis ...
Unsupervised Machine Learning Vaping Electronic Nicotine Delivery Systems Cluster Analysis Humans Social Media Image Processing, Computer-Assisted
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Unsupervised inter-domain transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy using explainable deep learning.

Nature communications Dec 30, 2024
Mid-infrared photoacoustic microscopy can capture biochemical information without staining. However, the long mid-infrared optical wavelengths make the spatial resolution of photoacoustic microscopy significantly poorer than that of conventional conf...
Infrared Rays Photoacoustic Techniques Humans Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning Microscopy, Confocal Microscopy Fibroblasts Cell Nucleus
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Domain-guided conditional diffusion model for unsupervised domain adaptation.

Neural networks : the official journal of the International Neural Network Society Dec 26, 2024
Limited transferability hinders the performance of a well-trained deep learning model when applied to new application scenarios. Recently, Unsupervised Domain Adaptation (UDA) has achieved significant progress in addressing this issue via learning do...
Deep Learning Humans Unsupervised Machine Learning Neural Networks, Computer
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Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical records.

BMC medical research methodology Dec 19, 2024
BACKGROUND: Electronic medical records (EMR)-trained machine learning models have the potential in CVD risk prediction by integrating a range of medical data from patients, facilitate timely diagnosis and classification of CVDs. We tested the hypothe...
Machine Learning Electronic Health Records Humans Middle Aged China Unsupervised Machine Learning Bayes Theorem Cluster Analysis Adult Male Cardiovascular Diseases Female Aged
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Determining structures of RNA conformers using AFM and deep neural networks.

Nature Dec 18, 2024
Much of the human genome is transcribed into RNAs, many of which contain structural elements that are important for their function. Such RNA molecules-including those that are structured and well-folded-are conformationally heterogeneous and flexible...
RNA Microscopy, Atomic Force Nucleic Acid Conformation Signal-To-Noise Ratio Deep Learning Unsupervised Machine Learning Models, Molecular Humans Neural Networks, Computer
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