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A deep learning framework for unsupervised affine and deformable image registration

Medical image analysis, 2019-02, Vol.52, p.128-143

2019

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LungRegNet: An unsupervised deformable image registration method for 4D‐CT lung

Medical physics (Lancaster), 2020-04, Vol.47 (4), p.1763-1774

2020

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The Utility of Unsupervised Machine Learning in Anatomic Pathology

American journal of clinical pathology, 2022-01, Vol.157 (1), p.5-14

2022

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Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging

Magnetic resonance in medicine, 2021-04, Vol.85 (4), p.2040-2054

2021

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Representation learning of resting state fMRI with variational autoencoder

NeuroImage (Orlando, Fla.), 2021-11, Vol.241, p.118423-118423, Article 118423

2021

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Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast‐Enhanced MRI

Journal of magnetic resonance imaging, 2022-05, Vol.55 (5), p.1518-1534

2022

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An unsupervised learning approach to identify immunoglobulin utilization patterns using electronic health records

Transfusion (Philadelphia, Pa.), 2023-12, Vol.63 (12), p.2234-2247

2023

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Modeling brain dynamic state changes with adaptive mixture independent component analysis

NeuroImage (Orlando, Fla.), 2018-12, Vol.183, p.47-61

2018

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Cortical surface registration using unsupervised learning

NeuroImage (Orlando, Fla.), 2020-11, Vol.221, p.117161-117161, Article 117161

2020

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Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies

Magnetic resonance in medicine, 2023-07, Vol.90 (1), p.312-328

2023

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Unsupervised Machine Learning of the Combined Danish and Norwegian Knee Ligament Registers: Identification of 5 Distinct Patient Groups With Differing ACL Revision Rates

The American journal of sports medicine, 2024-03, Vol.52 (4), p.881-891

2024

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Unsupervised learning of reference bony shapes for orthognathic surgical planning with a surface deformation network

Medical physics (Lancaster), 2021-12, Vol.48 (12), p.7735-7746

2021

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Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning

Journal of the American Medical Informatics Association : JAMIA, 2021-06, Vol.28 (6), p.1168-1177

2021

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Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

The American journal of cardiology, 2023-04, Vol.193, p.44-51

2023

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Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach

European radiology, 2022-08, Vol.32 (8), p.5382-5391

2022

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Generative models for protein sequence modeling: recent advances and future directions

Briefings in bioinformatics, 2023-09, Vol.24 (6)

2023

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PET image denoising using unsupervised deep learning

European journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2780-2789

2019

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Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG

NeuroImage (Orlando, Fla.), 2022-04, Vol.249, p.118873-118873, Article 118873

2022

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Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach

Annals of operations research, 2022-10, Vol.334 (1-3), p.761-797

2022

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Unsupervised learning of a deep neural network for metal artifact correction using dual‐polarity readout gradients

Magnetic resonance in medicine, 2020-01, Vol.83 (1), p.124-138

2020

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Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

European journal of nuclear medicine and molecular imaging, 2023-07, Vol.50 (9), p.2656-2668

2023

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ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis

Intensive care medicine, 2019-11, Vol.45 (11), p.1599-1607

2019

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An unsupervised machine learning approach for the detection and characterization of illicit drug-dealing comments and interactions on Instagram

Substance abuse, 2022-12, Vol.43 (1), p.273-277

2022

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Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.1009-1019

2015

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A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection

Briefings in bioinformatics, 2023-05, Vol.24 (3)

2023

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A deep learning framework for unsupervised affine and deformable image registration

LungRegNet: An unsupervised deformable image registration method for 4D‐CT lung

The Utility of Unsupervised Machine Learning in Anatomic Pathology

Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging

Representation learning of resting state fMRI with variational autoencoder

Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast‐Enhanced MRI

An unsupervised learning approach to identify immunoglobulin utilization patterns using electronic health records

Modeling brain dynamic state changes with adaptive mixture independent component analysis

Cortical surface registration using unsupervised learning

Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies

Unsupervised Machine Learning of the Combined Danish and Norwegian Knee Ligament Registers: Identification of 5 Distinct Patient Groups With Differing ACL Revision Rates

Unsupervised learning of reference bony shapes for orthognathic surgical planning with a surface deformation network

Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning

Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach

Generative models for protein sequence modeling: recent advances and future directions

PET image denoising using unsupervised deep learning

Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG

Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach

Unsupervised learning of a deep neural network for metal artifact correction using dual‐polarity readout gradients

Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis

An unsupervised machine learning approach for the detection and characterization of illicit drug-dealing comments and interactions on Instagram

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text

A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection

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