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Super‐resolution musculoskeletal MRI using deep learning

Magnetic resonance in medicine, 2018-11, Vol.80 (5), p.2139-2154

2018

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OpenCap: Human movement dynamics from smartphone videos

PLoS computational biology, 2023-10, Vol.19 (10), p.e1011462-e1011462

2023

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Self-supervised learning for medical image classification: a systematic review and implementation guidelines

NPJ digital medicine, 2023-04, Vol.6 (1), p.74-16, Article 74

2023

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Simultaneous NODDI and GFA parameter map generation from subsampled q‐space imaging using deep learning

Magnetic resonance in medicine, 2019-04, Vol.81 (4), p.2399-2411

2019

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Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

Journal of magnetic resonance imaging, 2020-03, Vol.51 (3), p.768-779

2020

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Developing medical imaging AI for emerging infectious diseases

Nature communications, 2022-11, Vol.13 (1), p.7060-6, Article 7060

2022

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Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

International journal of molecular sciences, 2024-05, Vol.25 (10), p.5473

2024

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Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach

Scientific reports, 2023-11, Vol.13 (1), p.21034-21034, Article 21034

2023

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AI in osteoarthritis: Illuminating the meandering path forward

Osteoarthritis and cartilage, 2024-03, Vol.32 (3), p.227-228

Chaudhari, Akshay S.

2024

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Low-count whole-body PET with deep learning in a multicenter and externally validated study

NPJ digital medicine, 2021-08, Vol.4 (1), p.127-11, Article 127

2021

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Differences in Anatomic Adaptation and Injury Patterns Related to Valgus Extension Overload in Overhead Throwing Athletes

Diagnostics (Basel), 2024-01, Vol.14 (2), p.217

2024

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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Radiology. Artificial intelligence, 2021-05, Vol.3 (3), p.e200078-e200078

2021

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The design of a sample rapid magnetic resonance imaging (MRI) acquisition protocol supporting assessment of multiple articular tissues and pathologies in knee osteoarthritis

Osteoarthritis and cartilage open, 2024-09, Vol.6 (3), p.100505, Article 100505

2024

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Radiology Decision Support System for Selecting Appropriate CT Imaging Titles Using Machine Learning Techniques Based on Electronic Medical Records

IEEE access, 2023, Vol.11, p.99222-99236

2023

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A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation

NPJ digital medicine, 2023-03, Vol.6 (1), p.46-13, Article 46

2023

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Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning

Bioengineering (Basel), 2023-02, Vol.10 (2), p.207

2023

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Adapted large language models can outperform medical experts in clinical text summarization

Nature medicine, 2024-04, Vol.30 (4), p.1134-1142

2024

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Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Journal of magnetic resonance imaging, 2020-11, Vol.52 (5), p.1321-1339

2020

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Accelerated Musculoskeletal Magnetic Resonance Imaging

Journal of magnetic resonance imaging, 2024-11, Vol.60 (5), p.1806-1822

2024

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Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study

NPJ digital medicine, 2021-09, Vol.4 (1), p.139-139, Article 139

2021

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Skeletal Muscle Area on CT: Determination of an Optimal Height Scaling Power and Testing for Mortality Risk Prediction

American journal of roentgenology (1976), 2024-01, Vol.222 (1), p.e2329889

2024

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Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation

IEEE transactions on biomedical engineering, 2024-07, Vol.71 (7), p.2095-2104

2024

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Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement

American journal of roentgenology (1976), 2021-06, Vol.216 (6), p.1614-1625

2021

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Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices

Journal of magnetic resonance imaging, 2021-08, Vol.54 (2), p.357-371

2021

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A method for measuring B0 field inhomogeneity using quantitative double‐echo in steady‐state

Magnetic resonance in medicine, 2023-02, Vol.89 (2), p.577-593

2023

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Super‐resolution musculoskeletal MRI using deep learning

OpenCap: Human movement dynamics from smartphone videos

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Simultaneous NODDI and GFA parameter map generation from subsampled q‐space imaging using deep learning

Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

Developing medical imaging AI for emerging infectious diseases

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach

AI in osteoarthritis: Illuminating the meandering path forward

Low-count whole-body PET with deep learning in a multicenter and externally validated study

Differences in Anatomic Adaptation and Injury Patterns Related to Valgus Extension Overload in Overhead Throwing Athletes

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

The design of a sample rapid magnetic resonance imaging (MRI) acquisition protocol supporting assessment of multiple articular tissues and pathologies in knee osteoarthritis

Radiology Decision Support System for Selecting Appropriate CT Imaging Titles Using Machine Learning Techniques Based on Electronic Medical Records

A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation

Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning

Adapted large language models can outperform medical experts in clinical text summarization

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Accelerated Musculoskeletal Magnetic Resonance Imaging

Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study

Skeletal Muscle Area on CT: Determination of an Optimal Height Scaling Power and Testing for Mortality Risk Prediction

Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation

Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement

Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices

A method for measuring B0 field inhomogeneity using quantitative double‐echo in steady‐state

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