Publications

Group highlights

At the end of this page, you can find the full list of publications. All papers are also available on Google Scholar or Pubmed.

Subtype-Aware Dynamic Unsupervised Domain Adaptation

In this work, we develop an unsupervised domain adaptation approach to carry out class-wise conditional alignment.

X. Liu, F. Xing, J. You, J. Lu, C.-C. J. Kuo, G. El Fakhri, J. Woo

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2024)

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

Magnetic Resonance Imaging with tagging (tMRI) has long been utilized for quantifying tissue motion and strain during deformation. However, a phenomenon known as tag fading, a gradual decrease in tag visibility over time, often complicates post-processing.

Z. Bian, A. Alshareef, S. Wei, J. Chen, Y. Wang, J. Woo, D. L. Pham, J. Zhuo, A. Carass, J. L. Prince

SPIE Medical Imaging (2024) – Best Student Paper Award

Disentangled multimodal brain MR image translation via transformer-based modality infuser

Magnetic Resonance Imaging with tagging (tMRI) has long been utilized for quantifying tissue motion and strain during deformation. However, a phenomenon known as tag fading, a gradual decrease in tag visibility over time, often complicates post-processing.

J. Cho, X. Liu, F. Xing, J. Ouyang, G. El Fakhri, J. Park, J. Woo

SPIE Medical Imaging (2024)

Bias and Fairness in Chatbots: An Overview

With the rapid development of natural language processing (NLP) technologies in recent years, chatbots using large language models (LLMs) have received much attention nowadays. A comprehensive overview on bias and fairness in chatbot systems is given in this paper.

J. Xue, Y.-C. Wang, C. Wei, X. Liu, J. Woo, C.-C. J. Kuo

APSIPA Trans on Signal and Information Processing (2024)

The role of 18F-FDG PET in minimizing variability in gross tumor volume delineation of soft tissue sarcomas

This study investigates the potential role of 18F-FDG PET in reducing intra- and inter-reader variability thereby improving reproducibility of GTV delineation in STS, without incurring additional costs or radiation exposure.

E. Najem, T. Marin, Y. Zhuo, R. Maria Lahoud, F. Tian, A. Beddok, L. Rozenblum, F. Xing, M. Moteabbed, R. Lim, X. Liu, J. Woo, S. John Lostetter, A. Lamane, Y.-L. Chen, C. Ma, G. El Fakhri

Radiotherapy and Oncology (2024)

Multi-Scale Self-Attention Network for Denoising Medical Images

In this work, we develop a new deep learning-based image denoising especially to deal with rapid fluorescence and ultrasound captures where traditional noise mitigation strategies are limited, such as increasing pixel dwell time or frame averaging.

K. Lee, H. Lee, M. Lee, J. Chang, C.-C. Jay Kuo, S.-J. Oh, J. Woo, J. Y. Hwang

APSIPA Trans on Signal and Information Processing (2024)

Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model

In this work, we develop a noise-robust sleep stage network via adversarial training with an auxiliary model.

C. H. Yoo, X. Liu, F. Xing, G. El Fakhri, J. Woo, J.-W. Kang

IEEE Trans on Biomedical Engineering (2023)

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI

In this work, we seek to progressively evolve an “off-the-shelf” trained segmentation model to diverse datasets with additional anatomical categories in a unified manner.

X. Liu, H. A. Shih, F. Xing, E. Santarnecchi, G. El Fakhri, J. Woo

MICCAI (2023)

Preliminary Development of an MRI Atlas for Application to Cleft Care: Findings and Future Recommendations

We introduce a highly innovative imaging method to study the complex velopharyngeal system and introduce the potential future clinical applications of a VP atlas in cleft care.

J. Perry, I. Gilbert, F. Xing, R. Jin, D. Kuehn, R. Shosted, J. Woo, Z. P. Liang, B. Sutton

The Cleft Palate Craniofacial Journal (2023)

Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI

We developed successive subspace learning for cardiac disease classification from cine MRI.

X. Liu, F. Xing, H. K. Gaggin, C.-C. J. Kuo, G. El Fakhri, J. Woo

IEEE ISBI (2023)

Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning

We developed a new self-supervised domain adaptive segmentation method for breast cancer.

K. Lee, H. Lee, G. El Fakhri, J. Woo, J. Y. Hwang

MICCAI (2023)

Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation

We propose off-the-shelf (OS) UDA (OSUDA), aimed at image segmentation, by adapting an OS segmentor trained in a source domain to a target domain, in the absence of source domain data in adaptation.

X. Liu, F. Xing, G. El Fakhri, J. Woo

Medical Image Analysis (2023)

Optimization of three-dimensional dynamic speech MRI: Poisson-disc under sampling and locally higher-rank reconstruction through partial separability model with regional optimized temporal basis

We improved the spatiotemporal qualities of images and dynamics of speech MRI through an improved data sampling and image reconstruction approach.

R. Jin, Y. Li, R. K. Shosted, F. Xing, I. Gilbert, J. L. Perry, J. Woo, Z.-P. Liang, B. P. Sutton

Magnetic Resonance in Medicine (2023)

Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation

In this work, we developed a generative self-training framework for domain adaptive image translation with continuous value prediction and regression objectives.

X. Liu, J. L. Prince, F. Xing, J. Zhuo, T. Reese, M. Stone, G. El Fakhria, J. Woo

Medical Image Analysis (2023)

Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer

In this work, we developed a speech audio synthesis approach from tagged MRI via Plastic transformer.

X. Liu, F. Xing, M. Stone, J. Zhuo, S. Fels, J. L. Prince, G. El Fakhri, J. Woo

MICCAI (2023)

Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis

In this work, we developed a federated learning approach for personalized skin diagnosis via fine-tuning network.

K. Lee, H. Lee, T. Coutinho Cavalcanti, S. Kim, G. El Fakhri, D. H. Lee, J. Woo, J. Y. Hwang

MICCAI (2023)

Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting

In this work, we developed a method for deep learning based inpainting and applied to construct brain atlases.

F. Xing, X. Liu, C.-C. J. Kuo, G. El Fakhri, J. Woo

IEEE J. Biomed. Health Informatics (2022)

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI

In this work, we developed a lightweight and interpretable machine learning framework for ALS disease classification from structural MRI.

X. Liu, F. Xing, C. Yang, C.-C. J. Kuo, S. Babu, G. El Fakhri, T. Jenkins, J. Woo

IEEE J. Biomed. Health Informatics (2022)

Deep unsupervised domain adaptation: A review of recent advances and perspectives

This review summairzes state-of-the-art deep unsupervised domain adaptation techniques that are proposed in recent years.

X. Liu, C. Yoo, F. Xing, H. Oh, G. El Fakhri, J.-W. Kang, J. Woo

APSIPA Trans on Signal and Information Processing (2022)

Adversarial unsupervised domain adaptation with conditional and label shift: Infer, align and iterate

This work proposed an adversarial unsupervised domain adaptation with conditional and label shift.

X. Liu, Z. Guo, S. Li, F. Xing, J. You, C.-C. J. Kuo, G. El Fakhri, J. Woo

ICCV (2021)

Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training

This work proposed severity-aware semantic segmentation with reinforced Wasserstein training.

X. Liu, W. Ji, J. You, G. El Fakhri, J. Woo

CVPR (2020)

 

Full List of publications

Subtype-Aware Dynamic Unsupervised Domain Adaptation
X. Liu, F. Xing, J. You, J. Lu, C.-C. J. Kuo, G. El Fakhri, J. Woo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2024)

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?
Z. Bian, A. Alshareef, S. Wei, J. Chen, Y. Wang, J. Woo, D. L. Pham, J. Zhuo, A. Carass, J. L. Prince
SPIE Medical Imaging (2024) – Best Student Paper Award

Disentangled multimodal brain MR image translation via transformer-based modality infuser
J. Cho, X. Liu, F. Xing, J. Ouyang, G. El Fakhri, J. Park, J. Woo
SPIE Medical Imaging (2024)

Bias and Fairness in Chatbots: An Overview
J. Xue, Y.-C. Wang, C. Wei, X. Liu, J. Woo, C.-C. J. Kuo
APSIPA Trans on Signal and Information Processing (2024)

The role of 18F-FDG PET in minimizing variability in gross tumor volume delineation of soft tissue sarcomas
E. Najem, T. Marin, Y. Zhuo, R. Maria Lahoud, F. Tian, A. Beddok, L. Rozenblum, F. Xing, M. Moteabbed, R. Lim, X. Liu, J. Woo, S. John Lostetter, A. Lamane, Y.-L. Chen, C. Ma, G. El Fakhri
Radiotherapy and Oncology (2024)

Multi-Scale Self-Attention Network for Denoising Medical Images
K. Lee, H. Lee, M. Lee, J. Chang, C.-C. Jay Kuo, S.-J. Oh, J. Woo, J. Y. Hwang
APSIPA Trans on Signal and Information Processing (2024)

Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model
C. H. Yoo, X. Liu, F. Xing, G. El Fakhri, J. Woo, J.-W. Kang
IEEE Trans on Biomedical Engineering (2023)

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
X. Liu, H. A. Shih, F. Xing, E. Santarnecchi, G. El Fakhri, J. Woo
MICCAI (2023)

Preliminary Development of an MRI Atlas for Application to Cleft Care: Findings and Future Recommendations
J. Perry, I. Gilbert, F. Xing, R. Jin, D. Kuehn, R. Shosted, J. Woo, Z. P. Liang, B. Sutton
The Cleft Palate Craniofacial Journal (2023)

Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI
X. Liu, F. Xing, H. K. Gaggin, C.-C. J. Kuo, G. El Fakhri, J. Woo
IEEE ISBI (2023)

Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
K. Lee, H. Lee, G. El Fakhri, J. Woo, J. Y. Hwang
MICCAI (2023)

Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation
X. Liu, F. Xing, G. El Fakhri, J. Woo
Medical Image Analysis (2023)

Optimization of three-dimensional dynamic speech MRI: Poisson-disc under sampling and locally higher-rank reconstruction through partial separability model with regional optimized temporal basis
R. Jin, Y. Li, R. K. Shosted, F. Xing, I. Gilbert, J. L. Perry, J. Woo, Z.-P. Liang, B. P. Sutton
Magnetic Resonance in Medicine (2023)

Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
X. Liu, J. L. Prince, F. Xing, J. Zhuo, T. Reese, M. Stone, G. El Fakhria, J. Woo
Medical Image Analysis (2023)

Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer
X. Liu, F. Xing, M. Stone, J. Zhuo, S. Fels, J. L. Prince, G. El Fakhri, J. Woo
MICCAI (2023)

Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
K. Lee, H. Lee, T. Coutinho Cavalcanti, S. Kim, G. El Fakhri, D. H. Lee, J. Woo, J. Y. Hwang
MICCAI (2023)

Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting
F. Xing, X. Liu, C.-C. J. Kuo, G. El Fakhri, J. Woo
IEEE J. Biomed. Health Informatics (2022)

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
X. Liu, F. Xing, C. Yang, C.-C. J. Kuo, S. Babu, G. El Fakhri, T. Jenkins, J. Woo
IEEE J. Biomed. Health Informatics (2022)

Deep unsupervised domain adaptation: A review of recent advances and perspectives
X. Liu, C. Yoo, F. Xing, H. Oh, G. El Fakhri, J.-W. Kang, J. Woo
APSIPA Trans on Signal and Information Processing (2022)

Adversarial unsupervised domain adaptation with conditional and label shift: Infer, align and iterate
X. Liu, Z. Guo, S. Li, F. Xing, J. You, C.-C. J. Kuo, G. El Fakhri, J. Woo
ICCV (2021)

Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
X. Liu, W. Ji, J. You, G. El Fakhri, J. Woo
CVPR (2020)