AIMC Topic: 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 Animals Image Processing, Computer-Assisted Humans
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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...
Magnetic Resonance Imaging Unsupervised Machine Learning Algorithms Image Processing, Computer-Assisted Humans
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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 Social Media Humans 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...
Deep Learning Image Processing, Computer-Assisted Fibroblasts Unsupervised Machine Learning Microscopy, Confocal Humans Infrared Rays Photoacoustic Techniques Microscopy 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...
Unsupervised Machine Learning Bayes Theorem Middle Aged China Cluster Analysis Male Cardiovascular Diseases Machine Learning Electronic Health Records Aged Adult Female Humans
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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 Signal-To-Noise Ratio Unsupervised Machine Learning Models, Molecular Nucleic Acid Conformation Neural Networks, Computer Deep Learning Humans
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Deep profiling of gene expression across 18 human cancers.

Nature biomedical engineering Dec 17, 2024
Clinical and biological information in large datasets of gene expression across cancers could be tapped with unsupervised deep learning. However, difficulties associated with biological interpretability and methodological robustness have made this im...
Neoplasms Gene Expression Profiling Transcriptome Humans Unsupervised Machine Learning Deep Learning Mutation Gene Expression Regulation, Neoplastic
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Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023.

Frontiers in public health Dec 16, 2024
OBJECTIVE: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.
Social Media SARS-CoV-2 Unsupervised Machine Learning Narration Humans Deep Learning COVID-19
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