Hui Xue

Principal Researcher

Publications

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Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen

April 2025

Publication Project

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen

March 2025

Under review

Publication Project

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

Hui Xue

Scientific Reports | March 2025, Vol 14

Publication
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Sarah Hooper, Hui Xue

Machine Learning for Health (ML4H) 2024 | November 2024

Author's Version

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Hui Xue

ISMRM | May 2024

Publication Publication

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Hui Xue

April 2024

Publication Publication

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Hui Xue

Journal of Cardiovascular Magnetic Resonance | February 2024, Vol 26

Publication Publication

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen

April 2025

Publication Project

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen

March 2025

Under review

Publication Project

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

Hui Xue

Scientific Reports | March 2025, Vol 14

Publication

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Sarah Hooper, Hui Xue

Machine Learning for Health (ML4H) 2024 | November 2024

Author's Version

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Hui Xue

ISMRM | May 2024

Publication Publication

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Hui Xue

April 2024

Publication Publication

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Hui Xue

Journal of Cardiovascular Magnetic Resonance | February 2024, Vol 26

Publication Publication
Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen

April 2025

Publication Project
Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen

April 2025

Publication Project

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen

March 2025

Under review

Publication Project

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Sarah Hooper, Hui Xue

Machine Learning for Health (ML4H) 2024 | November 2024

Author's Version

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Hui Xue

ISMRM | May 2024

Publication Publication

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Hui Xue

April 2024

Publication Publication

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Hui Xue

Journal of Cardiovascular Magnetic Resonance | February 2024, Vol 26

Publication Publication
Inline AI: Open-source Deep Learning Inference for Cardiac MR

Hui Xue

April 2024

Publication Publication

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Hui Xue, Sarah M. Hooper, Rhodri H. Davies, T. Treibel, Iain Pierce, John Stairs, Joseph Naegele, Charlotte Manisty, James C. Moon, A. Campbell-Washburn, Peter Kellman, Michael Hansen

April 2025

Publication Project
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen

March 2025

Under review

Publication Project

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

Hui Xue

Scientific Reports | March 2025, Vol 14

Publication

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Hui Xue

April 2024

Publication Publication

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Hui Xue

Journal of Cardiovascular Magnetic Resonance | February 2024, Vol 26

Publication Publication
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Sarah Hooper, Hui Xue

Machine Learning for Health (ML4H) 2024 | November 2024

Author's Version

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Hui Xue

ISMRM | May 2024

Publication Publication

Hui Xue

Publications

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR<<1 Imaging

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Characterizing the Signal-to-noise Ratio and Spatio-temporal Resolution of an Imaging Transformer Model for CMR

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Contact Hui Xue

Microsoft Health Futures

Hui Xue

Publications

Publications by Year

2025

2024

Publications by Research Area

Artificial intelligence

Computer vision

Medical, health and genomics

Technology for emerging markets

Publications by Type

Miscellaneous

Article (Journal)

Inproceedings (Conference)