Tracking tongue motion in three dimensions using tagged MR image. - Xiaofeng Liu 001; Maureen L. Stone; Jerry L. Prince (ISBI, 2006)

Harp Tracking Refinement Using Seeded Region Growing. - Xiaofeng Liu 001; Emi Z. Murano; Maureen L. Stone; Jerry L. Prince (ISBI, 2007)

Prostate Implant Reconstruction with Discrete Tomography. - Xiaofeng Liu 001; Ameet K. Jain; Gabor Fichtinger (MICCAI (1), 2007)

Tomosynthesis-based radioactive seed localization in prostate brachytherapy using modified distance map images. - Junghoon Lee; Xiaofeng Liu 001; Ameet K. Jain; Jerry L. Prince; Gabor Fichtinger (ISBI, 2008)

Prostate Brachytherapy Seed Localization with Gaussian Blurring and Camera Self-calibration. - Junghoon Lee; Xiaofeng Liu 001; Jerry L. Prince; Gabor Fichtinger (MICCAI (2), 2008)

Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images. - Xiaofeng Liu 001; Khaled Z. Abd-Elmoniem; Jerry L. Prince (MICCAI (1), 2009)

Shortest path refinement For HARP motion tracking. - Xiaofeng Liu 001; Ying Bai; Jerry L. Prince (Image Processing, 2009)

Prostate Brachytherapy Seed Reconstruction With Gaussian Blurring and Optimal Coverage Cost. - Junghoon Lee; Xiaofeng Liu 001; Ameet K. Jain; Danny Y. Song; Everette Clif Burdette; Jerry L. Prince; Gabor Fichtinger (IEEE Trans. Medical Imaging, 2009)

Shortest Path Refinement for Motion Estimation From Tagged MR Images. - Xiaofeng Liu 001; Jerry L. Prince (IEEE Trans. Medical Imaging, 2010)

A deformable surface model based automatic rat brain extraction method. - Jiehua Li; Xiaofeng Liu 001; Jiachen Zhuo; Rao P. Gullapalli; Jason M. Zara (ISBI, 2011)

Incompressible Deformation Estimation Algorithm (IDEA) From Tagged MR Images. - Xiaofeng Liu 001; Khaled Z. Abd-Elmoniem; Maureen L. Stone; Emi Z. Murano; Jiachen Zhuo; Rao P. Gullapalli; Jerry L. Prince (IEEE Trans. Medical Imaging, 2012)

Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition. - Xiaofeng Liu 001; B. V. K. Vijaya Kumar; Jane You; Ping Jia (CVPR Workshops, 2017)

Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets. - Xiaofeng Liu 001; B. V. K. Vijaya Kumar; Chao Yang 011; Qingming Tang; Jane You (ECCV (11), 2018)

Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis. - Xiaofeng Liu 001; Yang Zou 003; Yuhang Song 003; Chao Yang 011; Jane You; B. V. K. Vijaya Kumar (ECCV Workshops (6), 2018)

Contextual-Based Image Inpainting: Infer, Match, and Translate. - Yuhang Song 003; Chao Yang 011; Zhe Lin 001; Xiaofeng Liu 001; Qin Huang 006; Hao Li 015; C.-C. Jay Kuo (ECCV (2), 2018)

A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification. - Xiaofeng Liu 001; Zhaofeng Li 002; Lingsheng Kong; Zhihui Diao; Junliang Yan; Yang Zou 003; Chao Yang 011; Ping Jia; Jane You (ICPR, 2018)

Data Augmentation via Latent Space Interpolation for Image Classification. - Xiaofeng Liu 001; Yang Zou 003; Lingsheng Kong; Zhihui Diao; Junliang Yan; Jun Wang; Site Li; Ping Jia; Jane You (ICPR, 2018)

Normalized face image generation with perceptron generative adversarial networks. - Xiaofeng Liu 001; B. V. K. Vijaya Kumar; Yubin Ge; Chao Yang 011; Jane You; Ping Jia (ISBA, 2018)

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart. - Chao Yang 011; Yuhang Song 003; Xiaofeng Liu 001; Qingming Tang; C.-C. Jay Kuo (CoRR, 2018)

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition. - Xiaofeng Liu 001; Site Li; Lingsheng Kong; Wanqing Xie; Ping Jia; Jane You; B. V. K. Vijaya Kumar (CVPR, 2019)

Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition. - Xiaofeng Liu 001; Zhenhua Guo 001; Site Li; Ping Jia; Lingsheng Kong; Jane You; B. V. K. Vijaya Kumar (ICCV, 2019)

Conservative Wasserstein Training for Pose Estimation. - Xiaofeng Liu 001; Yang Zou 003; Tong Che; Ping Jia; Peng Ding; Jane You; B. V. K. Vijaya Kumar (ICCV, 2019)

Confidence Regularized Self-Training. - Yang Zou 003; Zhiding Yu; Xiaofeng Liu 001; B. V. K. Vijaya Kumar; Jinsong Wang (ICCV, 2019)

Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis. - Xiaofeng Liu 001; Xu Han; Yukai Qiao; Yi Ge; Site Li; Jun Lu 002 (ICCV Workshops, 2019)

Attention Control with Metric Learning Alignment for Image Set-based Recognition. - Xiaofeng Liu 001; Zhenhua Guo 001; Jane You; B. V. K. Vijaya Kumar (CoRR, 2019)

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis. - Xiaofeng Liu 001; Xu Han; Yukai Qiao; Yi Ge; Jun Lu 002 (CoRR, 2019)

Towards Disentangled Representations for Human Retargeting by Multi-view Learning. - Chao Yang 011; Xiaofeng Liu 001; Qingming Tang; C.-C. Jay Kuo (CoRR, 2019)

Hard negative generation for identity-disentangled facial expression recognition. - Xiaofeng Liu 001; B. V. K. Vijaya Kumar; Ping Jia; Jane You (Pattern Recognit., 2019)

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. - Xiaofeng Liu 001; Yuzhuo Han; Song Bai; Yi Ge; Tianxing Wang 003; Xu Han; Site Li; Jane You; Jun Lu 002 (AAAI, 2020)

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. - Xiaofeng Liu 001; Fangxu Xing; Chao Yang 011; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (BrainLes@MICCAI (1), 2020)

Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training. - Xiaofeng Liu 001; Wenxuan Ji; Jane You; Georges El Fakhri; Jonghye Woo (CVPR, 2020)

Wasserstein Loss based Deep Object Detection. - Yuzhuo Han; Xiaofeng Liu 001; Zhenfei Sheng; Yutao Ren; Xu Han; Jane You; Risheng Liu; Zhongxuan Luo (CVPR Workshops, 2020)

Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image. - Gewen He; Xiaofeng Liu 001; Fangfang Fan; Jane You (CVPR Workshops, 2020)

Classification-aware Semi-supervised Domain Adaptation. - Gewen He; Xiaofeng Liu 001; Fangfang Fan; Jane You (CVPR Workshops, 2020)

AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation. - Xiaofeng Liu 001; Tong Che; Yiqun Lu; Chao Yang 011; Site Li; Jane You (ECCV (9), 2020)

Energy-constrained Self-training for Unsupervised Domain Adaptation. - Xiaofeng Liu 001; Bo Hu; Xiongchang Liu; Jun Lu 002; Jane You; Lingsheng Kong (ICPR, 2020)

Identity-aware Facial Expression Recognition in Compressed Video. - Xiaofeng Liu 001; Linghao Jin; Xu Han; Jun Lu 002; Jane You; Lingsheng Kong (ICPR, 2020)

A Real Time Multi-thread Underwater Images Enhancement System*. - Xiaofeng Liu 001; Risheng Liu; Ming Zhu 001; Wei Zhong; Xin Fan 001; Zhongxuan Luo; Wanhui Zhang (ICSSE, 2020)

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving. - Xiaofeng Liu 001; Yimeng Zhang; Xiongchang Liu; Song Bai; Site Li; Jane You (CoRR, 2020)

Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video. - Xiaofeng Liu 001; Linghao Jin; Xu Han; Jane You (CoRR, 2020)

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. - Xiaofeng Liu 001; Yuzhuo Han; Song Bai; Yi Ge; Tianxing Wang 003; Xu Han; Site Li; Jane You; Ju Lu (CoRR, 2020)

Unimodal regularized neuron stick-breaking for ordinal classification. - Xiaofeng Liu 001; Fangfang Fan; Lingsheng Kong; Zhihui Diao; Wanqing Xie; Jun Lu 002; Jane You (Neurocomputing, 2020)

Dependency-Aware Attention Control for Image Set-Based Face Recognition. - Xiaofeng Liu 001; Zhenhua Guo 001; Jane You; B. V. K. Vijaya Kumar (IEEE Trans. Inf. Forensics Secur., 2020)

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. - Tong Che; Xiaofeng Liu 001; Site Li; Yubin Ge; Ruixiang Zhang; Caiming Xiong; Yoshua Bengio (AAAI, 2021)

Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. - Xiaofeng Liu 001; Xiongchang Liu; Bo Hu; Wenxuan Ji; Fangxu Xing; Jun Lu 002; Jane You; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (AAAI, 2021)

Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI. - Xiaofeng Liu 001; Fangxu Xing; Hanna K. Gaggin; Weichung Wang; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (EMBC, 2021)

Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire. - Wanqing Xie; Lizhong Liang; Yao Lu; Hui Luo; Xiaofeng Liu 001 (EMBC, 2021)

Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization. - Yubin Ge; Site Li; Xuyang Li; Fangfang Fan; Wanqing Xie; Jane You; Xiaofeng Liu 001 (ICASSP, 2021)

Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. - Xiaofeng Liu 001; Zhenhua Guo 001; Site Li; Fangxu Xing; Jane You; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (ICCV, 2021)

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation. - Xiaofeng Liu 001; Site Li; Yubin Ge; Pengyi Ye; Jane You; Jun Lu 002 (ICCV, 2021)

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference. - Xiaofeng Liu 001; Bo Hu; Linghao Jin; Xu Han; Fangxu Xing; Jinsong Ouyang; Jun Lu 002; Georges El Fakhri; Jonghye Woo (IJCAI, 2021)

A Unified Conditional Disentanglement Framework For Multimodal Brain Mr Image Translation. - Xiaofeng Liu 001; Fangxu Xing; Georges El Fakhri; Jonghye Woo (ISBI, 2021)

Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis. - Xiaofeng Liu 001; Fangxu Xing; Jerry L. Prince; Aaron Carass; Maureen Stone 001; Georges El Fakhri; Jonghye Woo (ISBI, 2021)

Generative Self-training for Cross-Domain Unsupervised Tagged-to-Cine MRI Synthesis. - Xiaofeng Liu 001; Fangxu Xing; Maureen Stone 001; Jiachen Zhuo; Timothy G. Reese; Jerry L. Prince; Georges El Fakhri; Jonghye Woo (MICCAI (3), 2021)

Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation. - Xiaofeng Liu 001; Fangxu Xing; Chao Yang 011; Georges El Fakhri; Jonghye Woo (MICCAI (2), 2021)

Floor-of-the-mouth muscle function analysis using dynamic magnetic resonance imaging. - Fangxu Xing; Maureen Stone 001; Jerry L. Prince; Xiaofeng Liu 001; Georges El Fakhri; Jonghye Woo (Image Processing, 2021)

Automated interpretation of congenital heart disease from multi-view echocardiograms. - Jing Wang; Xiaofeng Liu 001; Fangyun Wang; Lin Zheng; Fengqiao Gao; Hanwen Zhang; Xin Zhang; Wanqing Xie; Binbin Wang (Medical Image Anal., 2021)

Mutual information regularized identity-aware facial expression recognition in compressed video. - Xiaofeng Liu 001; Linghao Jin; Xu Han; Jane You (Pattern Recognit., 2021)

Cmri2spec: Cine MRI Sequence to Spectrogram Synthesis via A Pairwise Heterogeneous Translator. - Xiaofeng Liu 001; Fangxu Xing; Maureen Stone 001; Jerry L. Prince; Jangwon Kim; Georges El Fakhri; Jonghye Woo (ICASSP, 2022)

Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation. - Xiaofeng Liu 001; Fangxu Xing; Georges El Fakhri; Jonghye Woo (ISBI, 2022)

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator. - Xiaofeng Liu 001; Fangxu Xing; Jerry L. Prince; Jiachen Zhuo; Maureen Stone 001; Georges El Fakhri; Jonghye Woo (MICCAI (6), 2022)

ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training. - Xiaofeng Liu 001; Fangxu Xing; Nadya Shusharina; Ruth Lim; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (MICCAI (5), 2022)

Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. - Xiaofeng Liu 001; Fangxu Xing; Thibault Marin; Georges El Fakhri; Jonghye Woo (Image Processing, 2022)

Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement. - Xiaofeng Liu 001; Fangxu Xing; Jerry L. Prince; Maureen Stone 001; Georges El Fakhri; Jonghye Woo (Image Processing, 2022)

Unsupervised domain adaptation for segmentation with black-box source model. - Xiaofeng Liu 001; Chaehwa Yoo; Fangxu Xing; C.-C. Jay Kuo; Georges El Fakhri; Je-Won Kang; Jonghye Woo (Image Processing, 2022)

Measuring strain in diffusion-weighted data using tagged magnetic resonance imaging. - Fangxu Xing; Xiaofeng Liu 001; Timothy G. Reese; Maureen Stone 001; Van J. Wedeen; Jerry L. Prince; Georges El Fakhri; Jonghye Woo (Image Processing, 2022)

Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model. - Wanqing Xie; Chen Wang; Zhixiong Lin; Xudong Luo; Wenqian Chen; Manzhu Xu; Lizhong Liang; Xiaofeng Liu 001; Yanzhong Wang; Hui Luo; Mingmei Cheng (Comput. Medical Imaging Graph., 2022)

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives. - Xiaofeng Liu 001; Chae Hwa Yoo; Fangxu Xing; Hyejin Oh; Georges El Fakhri; Je-Won Kang; Jonghye Woo (CoRR, 2022)

Subtype-Aware Dynamic Unsupervised Domain Adaptation. - Xiaofeng Liu 001; Fangxu Xing; Jia You; Jun Lu 002; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (CoRR, 2022)

Unsupervised Domain Adaptation for Segmentation with Black-box Source Model. - Xiaofeng Liu 001; Chaehwa Yoo; Fangxu Xing; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (CoRR, 2022)

Infrared Image Super-Resolution: Systematic Review, and Future Trends. - Yongsong Huang; Tomo Miyazaki; Xiaofeng Liu 001; Shinichiro Omachi (CoRR, 2022)

Constraining pseudo-label in self-training unsupervised domain adaptation with energy-based model. - Lingsheng Kong; Bo Hu; Xiongchang Liu; Jun Lu 002; Jane You; Xiaofeng Liu 001 (Int. J. Intell. Syst., 2022)

Mutual Information Regularized Feature-Level Frankenstein for Discriminative Recognition. - Xiaofeng Liu 001; Chao Yang 011; Jane You; C.-C. Jay Kuo; B. V. K. Vijaya Kumar (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. - Xiaofeng Liu 001; Fangxu Xing; Chao Yang 011; Chung-Chieh Jay Kuo; Suma Babu; Georges El Fakhri; Thomas Jenkins; Jonghye Woo (IEEE J. Biomed. Health Informatics, 2022)

Interpreting Depression From Question-Wise Long-Term Video Recording of SDS Evaluation. - Wanqing Xie; Lizhong Liang; Yao Lu; Chen Wang; Jihong Shen; Hui Luo; Xiaofeng Liu 001 (IEEE J. Biomed. Health Informatics, 2022)

Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting. - Fangxu Xing; Xiaofeng Liu 001; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (IEEE J. Biomed. Health Informatics, 2022)

Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation. - Xiaofeng Liu 001; Yunhong Lu; Xiongchang Liu; Song Bai; Site Li; Jane You (IEEE Trans. Intell. Transp. Syst., 2022)

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. - Xiaofeng Liu 001; Jiaxin Gao; Yaohua Liu; Nenggan Zheng; Risheng Liu (ICIG (2), 2023)

Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation. - Yongsong Huang; Wanqing Xie; Mingzhen Li; Mingmei Cheng; Jinzhou Wu; Weixiao Wang; Jane You; Xiaofeng Liu 001 (IPMI, 2023)

Successive Subspace Learning for Cardiac Disease Classification with Two-Phase Deformation Fields from Cine MRI. - Xiaofeng Liu 001; Fangxu Xing; Hanna K. Gaggin; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (ISBI, 2023)

Outlier Robust Disease Classification via Stochastic Confidence Network. - Kyungsu Lee; Haeyun Lee; Georges El Fakhri; Jorge Sepulcre; Xiaofeng Liu 001; Fangxu Xing; Jae Youn Hwang; Jonghye Woo (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI. - Xiaofeng Liu 001; Helen A. Shih; Fangxu Xing; Emiliano Santarnecchi; Georges El Fakhri; Jonghye Woo (MICCAI (2), 2023)

Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer. - Xiaofeng Liu 001; Fangxu Xing; Maureen Stone 001; Jiachen Zhuo; Sidney S. Fels; Jerry L. Prince; Georges El Fakhri; Jonghye Woo (MICCAI (7), 2023)

Synthesizing audio from tongue motion during speech using tagged MRI via transformer. - Xiaofeng Liu 001; Fangxu Xing; Jerry L. Prince; Maureen Stone 001; Georges El Fakhri; Jonghye Woo (Image Processing, 2023)

Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET. - Xiaofeng Liu 001; Thibault Marin; Tiss Amal; Jonghye Woo; Georges El Fakhri; Jinsong Ouyang (CoRR, 2023)

NFI2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement. - Xiaofeng Liu 001; Jiaxin Gao; Ziyu Yue; Xin Fan 001; Risheng Liu (CoRR, 2023)

Bias and Fairness in Chatbots: An Overview. - Jintang Xue; Yun-Cheng Wang; Chengwei Wei; Xiaofeng Liu 001; Jonghye Woo; C.-C. Jay Kuo (CoRR, 2023)

Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference. - Xiaofeng Liu 001; Thibault Marin; Tiss Amal; Jonghye Woo; Georges El Fakhri; Jinsong Ouyang (CoRR, 2023)

Target-oriented Domain Adaptation for Infrared Image Super-Resolution. - Yongsong Huang; Tomo Miyazaki; Xiaofeng Liu 001; Yafei Dong; Shinichiro Omachi (CoRR, 2023)

Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation. - Xiaofeng Liu 001; Fangxu Xing; Georges El Fakhri; Jonghye Woo (Medical Image Anal., 2023)

Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures. - Wanqing Xie; Yubin Ge; Site Li; Mingzhen Li; Zhenhua Guo 001; Xiaofeng Liu 001 (Neurocomputing, 2023)

Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model. - Chae Hwa Yoo; Xiaofeng Liu 001; Fangxu Xing; Georges El Fakhri; Jonghye Woo; Je-Won Kang (IEEE Trans. Biomed. Eng., 2023)

Attentive continuous generative self-training for unsupervised domain adaptive medical image translation. - Xiaofeng Liu 001; Jerry L. Prince; Fangxu Xing; Jiachen Zhuo; Timothy G. Reese; Maureen Stone 001; Georges El Fakhri; Jonghye Woo (Medical Image Anal., 2023)

Source-free domain adaptive segmentation with class-balanced complementary self-training. - Yongsong Huang; Wanqing Xie; Mingzhen Li; Ethan Xiao; Jane You; Xiaofeng Liu 001 (Artif. Intell. Medicine, 2023)

Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models. - Xu Han; Linghao Jin; Xuezhe Ma; Xiaofeng Liu 001 (EMNLP (Findings), 2024)

Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data. - Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Xiaofeng Liu 001; Fangxu Xing; Maureen Stone 001; Jiachen Zhuo; Jerry L. Prince; Maria Schuster; Elmar Nöth; Jonghye Woo; Andreas K. Maier (INTERSPEECH, 2024)

Diffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET. - Yanis Djebra; Xiaofeng Liu 001; Thibault Marin; Amal Tiss; M. Dhaynaut; Nicolas J. Guehl; K. Johnson; Georges El Fakhri; Chao Ma 018; Jinsong Ouyang (ISBI, 2024)

Exploring Backdoor Attacks in Off-the-Shelf Unsupervised Domain Adaptation for Securing Cardiac MRI-Based Diagnosis. - Xiaofeng Liu 001; Fangxu Xing; Hanna K. Gaggin; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (ISBI, 2024)

Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer. - Xiaofeng Liu 001; Fangxu Xing; Zhangxing Bian; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Andreas K. Maier; Maureen Stone 001; Jiachen Zhuo; Jerry L. Prince; Jonghye Woo (MICCAI (7), 2024)

Learn from orientation prior for radiograph super-resolution: Orientation operator transformer. - Yongsong Huang; Tomo Miyazaki; Xiaofeng Liu 001; Kaiyuan Jiang; Zhengmi Tang; Shinichiro Omachi (Comput. Methods Programs Biomed., 2024)

Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser. - Jihoon Cho; Xiaofeng Liu 001; Fangxu Xing; Jinsong Ouyang; Georges El Fakhri; Jinah Park; Jonghye Woo (CoRR, 2024)

Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI. - Xiaofeng Liu 001; Nadya Shusharina; Helen A. Shih; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (CoRR, 2024)

Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI. - Xiaofeng Liu 001; Fangxu Xing; Jiachen Zhuo; Maureen Stone 001; Jerry L. Prince; Georges El Fakhri; Jonghye Woo (CoRR, 2024)

Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning. - Xu Han; Fangfang Fan; Jingzhao Rong; Xiaofeng Liu 001 (CoRR, 2024)

Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views. - Jihoon Cho; Suhyun Ahn; Beomju Kim; Hyungjoon Bae 002; Xiaofeng Liu 001; Fangxu Xing; Kyungeun Lee; Georges El Fakhri; Van J. Wedeen; Jonghye Woo; Jinah Park (CoRR, 2024)

Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM. - Xiaofeng Liu 001; Jonghye Woo; Chao Ma 018; Jinsong Ouyang; Georges El Fakhri (CoRR, 2024)

Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - Xiaoqi Zhao; Youwei Pang; Shijie Chang; Yuan Zhao; Lihe Zhang; Huchuan Lu; Jinsong Ouyang; Georges El Fakhri; Xiaofeng Liu 001 (CoRR, 2024)

Subtype-Aware Dynamic Unsupervised Domain Adaptation. - Xiaofeng Liu 001; Fangxu Xing; Jane You; Jun Lu 002; C.-C. Jay Kuo; Georges El Fakhri; Jonghye Woo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Abstract: Contrastive Learning Approach for Assessment of Speech in Patients with Tongue Cancer using MRI Data. - Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Xiaofeng Liu 001; Fangxu Xing; Maureen Stone 001; Jiachen Zhuo; Jerry L. Prince; Maria Schuster; Elmar Nöth; Jonghye Woo; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation. - Jia Wei; Xiaoqi Zhao; Jonghye Woo; Jinsong Ouyang; Georges El Fakhri; Qingyu Chen; Xiaofeng Liu 001 (CVPR Workshops, 2025)

Dual Prompting for Diverse Count-Level Pet Denoising. - Xiaofeng Liu 001; Yongsong Huang; Thibault Marin; Yanis Chemli; Samira Vafay Eslahi; Amal Tiss; Keith A. Johnson; Georges El Fakhri; Jinsong Ouyang (ISBI, 2025)

Overall Survival Prediction of Brain Tumor Patients with Multimodal MRI using Swin Unetr. - Gihyeon Kim; Fangxu Xing; Hyoun-Joong Kong; Emiliano Santarnecchi; Helen A. Shih; Thomas Bortfeld; Georges El Fakhri; Xiaofeng Liu 001; Jang Hwan Choi 001; Jonghye Woo (ISBI, 2025)

Dendrite cross attention for high-dose-rate brachytherapy distribution planning. - Sourav Saini; Xiaofeng Liu 001 (Comput. Biol. Medicine, 2025)

Texture and noise dual adaptation for infrared image super-resolution. - Yongsong Huang; Tomo Miyazaki; Xiaofeng Liu 001; Yafei Dong; Shinichiro Omachi (Pattern Recognit., 2025)

Vision-language foundation model for generalizable nasal disease diagnosis using unlabeled endoscopic records. - Xueli Liu; Wentao Gong; Xiao Chen; Zhen Li; Yinlong Liu; Li Wang; Quan Liu; Xicai Sun; Xiaofeng Liu 001; Xinrong Chen; Yuxuan Shi; Hongmeng Yu (Pattern Recognit., 2025)

IRSRMamba: Infrared Image Super-Resolution via Mamba-Based Wavelet Transform Feature Modulation Model. - Yongsong Huang; Tomo Miyazaki; Xiaofeng Liu 001; Shinichiro Omachi (IEEE Trans. Geosci. Remote. Sens., 2025)

Label Space-Induced Pseudo Label Refinement for Multi-Source Black-Box Domain Adaptation. - Chaehwa Yoo; Xiaofeng Liu 001; Fangxu Xing; Jonghye Woo; Je-Won Kang (IEEE Trans. Image Process., 2025)

A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRI. - Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Fangxu Xing; Xiaofeng Liu 001; Maureen Stone 001; Jiachen Zhuo; Juan Rafael Orozco-Arroyave; Elmar Nöth; Jana Hutter; Jerry L. Prince; Andreas K. Maier; Jonghye Woo (CoRR, 2025)

Ordinal Unsupervised Domain Adaptation With Recursively Conditional Gaussian Imposed Variational Disentanglement. - Xiaofeng Liu 001; Site Li; Yubin Ge; Pengyi Ye; Jane You; Jun Lu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

GPSMamba: A Global Phase and Spectral Prompt-guided Mamba for Infrared Image Super-Resolution. - Yongsong Huang; Tomo Miyazaki; Xiaofeng Liu 001; Shinichiro Omachi (CoRR, 2025)

Power Battery Detection. - Xiaoqi Zhao; Peiqian Cao; Lihe Zhang; Zonglei Feng; Hanqi Liu; Jiaming Zuo; Youwei Pang; Weisi Lin; Georges El Fakhri; Huchuan Lu; Xiaofeng Liu 001 (CoRR, 2025)