AIMC Topic: Unsupervised Machine Learning

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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...
Unsupervised Machine Learning Mutation Deep Learning Gene Expression Regulation, Neoplastic Neoplasms Gene Expression Profiling Transcriptome Humans
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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 Narration SARS-CoV-2 Unsupervised Machine Learning Deep Learning Humans COVID-19
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Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection.

Computers in biology and medicine Dec 14, 2024
In recent years, gene expression data analysis has gained growing significance in the fields of machine learning and computational biology. Typically, microarray gene datasets exhibit a scenario where the number of features exceeds the number of samp...
Computational Biology Databases, Genetic Unsupervised Machine Learning Algorithms Humans Gene Expression Profiling
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Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 13, 2024
The use of artificial intelligence (AI) within pathology and health care has advanced extensively. We have accordingly witnessed an increased adoption of various AI tools that are transforming our approach to clinical decision support, personalized m...
Humans Neural Networks, Computer Machine Learning Unsupervised Machine Learning Artificial Intelligence Supervised Machine Learning
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Unsupervised Bayesian generation of synthetic CT from CBCT using patient-specific score-based prior.

Medical physics Dec 12, 2024
BACKGROUND: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (IGRT) process, thereby making it a potential imaging modality for the ...
Bayes Theorem Humans Image Processing, Computer-Assisted Unsupervised Machine Learning Cone-Beam Computed Tomography
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Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields.

Computers in biology and medicine Dec 12, 2024
BACKGROUND: Cardiac cine MRI is the gold standard for cardiac functional assessment, but the inherently slow acquisition process creates the necessity of reconstruction approaches for accelerated undersampled acquisitions. Several regularization appr...
Magnetic Resonance Imaging, Cine Unsupervised Machine Learning Humans Heart Algorithms Deep Learning Image Processing, Computer-Assisted
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Unsupervised learning for lake underwater vegetation classification: Constructing high-precision, large-scale aquatic ecological datasets.

The Science of the total environment Dec 7, 2024
Monitoring underwater vegetation is vital for evaluating lake ecosystem health. Automated data collection and analysis play key roles in achieving large-scale, high-precision, and high-frequency monitoring. While technologies such as unmanned vessels...
Lakes Environmental Monitoring Ecosystem Unsupervised Machine Learning Plants
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Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

Magnetic resonance in medicine Dec 6, 2024
PURPOSE: To develop a deep learning-based method for robust and rapid estimation of the fatty acid composition (FAC) in mammary adipose tissue.
Humans Neural Networks, Computer Female Phantoms, Imaging Magnetic Resonance Imaging Unsupervised Machine Learning Breast Fatty Acids Breast Neoplasms Adipose Tissue Deep Learning Image Processing, Computer-Assisted Middle Aged
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UDA-GS: A cross-center multimodal unsupervised domain adaptation framework for Glioma segmentation.

Computers in biology and medicine Dec 4, 2024
Gliomas are the most common and malignant form of primary brain tumors. Accurate segmentation and measurement from MRI are crucial for diagnosis and treatment. Due to the infiltrative growth pattern of gliomas, their labeling is very difficult. In tu...
Algorithms Brain Neoplasms Humans Magnetic Resonance Imaging Unsupervised Machine Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Glioma
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Illumination-Guided progressive unsupervised domain adaptation for low-light instance segmentation.

Neural networks : the official journal of the International Neural Network Society Nov 29, 2024
Due to limited photons, low-light environments pose significant challenges for computer vision tasks. Unsupervised domain adaptation offers a potential solution, but struggles with domain misalignment caused by inadequate utilization of features at d...
Unsupervised Machine Learning Humans Light Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Lighting
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