Lei Xing - RankMe

138 papers A* 4A 2Misc 1Journal 107Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Applications of Medical Artificial Intelligence - 4th International Workshop, AMAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2026	J	`jnl`	Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment. CoRR Sheng Liu, Long Chen, Zeyun Zhao, Qinglin Gou, Qingyue Wei, Arjun Masurkar, Kevin M. Spiegler, Philip Kuball, Stefania C. Bray, Megan Bernath, Deanna R. Willis, Jiang Bian, Lei Xing, Eric Topol, Kyunghyun Cho, Yu Huang, Ruogu Fang, Narges Razavian, James Zou
2026	J	`jnl`	Enhancing Deep Learning Inference of Gene Regulatory Networks via Construction of Image Representation of Cell-Cell Interactions From scRNA-Seq Data. IEEE J. Biomed. Health Informatics Qingyue Wei, Md Tauhidul Islam, Wei Emma Wu, Lei Xing
2026	J	`jnl`	Knowledge-guided multi-modality transformer for multi-label genetic mutation prediction. Pattern Recognit. Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ying Sun, Lei Xing, Xiaodan Liang, Liang Lin, Guang Yang, Shen Zhao
2026	J	`jnl`	Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusion. Medical Image Anal. Xiaohan Xing, Qi Chen, Lequan Yu, Liang Qiu, Lingting Zhu, Lei Xing, Lianli Liu
2026	J	`jnl`	Redefining the Down-Sampling Scheme of U-Net for Precision Biomedical Image Segmentation. CoRR Mingjie Li, Yizheng Chen, Md Tauhidul Islam, Lei Xing
2026	J	`jnl`	Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering. CoRR Ao Li, Rui Liu, Mingjie Li, Sheng Liu, Lei Wang, Xiaodan Liang, Lina Yao, Xiaojun Chang, Lei Xing
2026	J	`jnl`	Towards a Medical AI Scientist. CoRR Hongtao Wu, Boyun Zheng, Dingjie Song, Yu Jiang, Jianfeng Gao, Lei Xing, Lichao Sun, Yixuan Yuan
2026	J	`jnl`	Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions. CoRR Rui Yan, Xiaohan Xing, Xun Wang, Zixia Zhou, Md Tauhidul Islam, Lei Xing
2026	J	`jnl`	Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography. CoRR Sakib Mostafa, Tarik Massoud, Maximilian Diehn, Lei Xing, Md Tauhidul Islam
2025	—	`ed.`	Applications of Medical Artificial Intelligence - Third International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2025	J	`jnl`	Association of Timing and Duration of Moderate-to-Vigorous Physical Activity with Cognitive Function and Brain Aging: A Population-Based Study Using the UK Biobank. CoRR Wasif Khan, Lin Gu, Noah Hammarlund, Lei Xing, Joshua K. Wong, Ruogu Fang
2025	J	`jnl`	Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations. CoRR Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute. CoRR Sheng Liu, Tianlang Chen, Pan Lu, Haotian Ye, Yizheng Chen, Lei Xing, James Zou
2025	A	`conf`	MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction. WACV Ziqi Gao, Wendi Yang, Yujia Li, Lei Xing, S. Kevin Zhou
2025	A*	`conf`	MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. ICLR Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou
2025	J	`jnl`	Modeling focused kV X-ray dose kernels via 3D implicit neural functions for small animal brain radiation. Biomed. Signal Process. Control. Liyan Sun, Chenhui Qiu, Weiyuan Sun, Lei Xing, Dimitre Hristov, Adam S. Wang, Wu Liu
2025	J	`jnl`	Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging. IEEE Trans. Pattern Anal. Mach. Intell. Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu
2025	J	`jnl`	Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data. CoRR Zixia Zhou, Junyan Liu, Wei Emma Wu, Ruogu Fang, Sheng Liu, Qingyue Wei, Rui Yan, Yi Guo, Qian Tao, Yuanyuan Wang, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data. Nat. Comput. Sci. Zixia Zhou, Junyan Liu, Wei Emma Wu, Ruogu Fang, Sheng Liu, Qingyue Wei, Rui Yan, Yi Guo, Qian Tao, Yuanyuan Wang, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	ST-NeRP: Spatial-temporal neural representation learning with prior embedding for patient-specific imaging study. Comput. Biol. Medicine Liang Qiu, Liyue Shen, Lianli Liu, Junyan Liu, Yizheng Chen, Lei Xing
2025	J	`jnl`	Tissue-origin transcriptomic interactions as indicators of inflammatory aging and aging gene discovery. Comput. Biol. Medicine Wei Emma Wu, Qingyue Wei, Zixia Zhou, Huijun Z. Ring, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	Transformation of Biological Networks into Images via Semantic Cartography for Visual Interpretation and Scalable Deep Analysis. CoRR Sakib Mostafa, Lei Xing, Md Tauhidul Islam
2024	—	`ed.`	Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2024	J	`jnl`	Automated radiotherapy treatment planning guided by GPT-4Vision. CoRR Sheng Liu, Oscar Pastor-Serrano, Yizheng Chen, Matthew Gopaulchan, Weixing Liang, Mark K. Buyyounouski, Erqi Pollom, Quynh-Thu Le, Michael Gensheimer, Peng Dong, Yong Yang, James Zou, Lei Xing
2024	J	`jnl`	Deciphering the Feature Representation of Deep Neural Networks for High-Performance AI. IEEE Trans. Pattern Anal. Mach. Intell. Md Tauhidul Islam, Lei Xing
2024	J	`jnl`	Discovering distinctive elements of biomedical datasets for high-performance exploration. CoRR Md Tauhidul Islam, Lei Xing
2024	A*	`conf`	In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. ICML Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou
2024	A*	`conf`	L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
2024	J	`jnl`	Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy. CoRR Praveenbalaji Rajendran, Yong Yang, Thomas R. Niedermayr, Michael Gensheimer, Beth M. Beadle, Quynh-Thu Le, Lei Xing, Xianjin Dai
2024	—	`conf`	Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. MLMI@MICCAI (1) Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu
2024	J	`jnl`	MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction. CoRR Ziqi Gao, Wendi Yang, Yujia Li, Lei Xing, S. Kevin Zhou
2024	J	`jnl`	MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. CoRR Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou
2024	J	`jnl`	Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging. CoRR Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu
2024	J	`jnl`	Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Zixia Zhou, Md Tauhidul Islam, Lei Xing
2024	J	`jnl`	NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. Liyue Shen, John M. Pauly, Lei Xing
2024	J	`jnl`	PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation. Comput. Biol. Medicine Xiao Jia, Yutian Shen, Jianhong Yang, Ran Song, Wei Zhang, Max Q.-H. Meng, Joseph C. Liao, Lei Xing
2024	J	`jnl`	Reducing Hallucinations in Vision-Language Models via Latent Space Steering. CoRR Sheng Liu, Haotian Ye, Lei Xing, James Zou
2024	J	`jnl`	ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study. CoRR Liang Qiu, Liyue Shen, Lianli Liu, Junyan Liu, Yizheng Chen, Lei Xing
2024	J	`jnl`	Self-supervised deep learning of gene-gene interactions for improved gene expression recovery. Briefings Bioinform. Qingyue Wei, Md Tauhidul Islam, Yuyin Zhou, Lei Xing
2024	J	`jnl`	TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
2023	J	`jnl`	3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
2023	J	`jnl`	Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yizheng Chen, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing
2023	—	`conf`	Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. MICCAI (4) Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou
2023	J	`jnl`	Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation. CoRR Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou
2023	J	`jnl`	Image classification using graph neural network and multiscale wavelet superpixels. Pattern Recognit. Lett. Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing
2023	J	`jnl`	In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. CoRR Sheng Liu, Lei Xing, James Zou
2023	J	`jnl`	Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
2023	J	`jnl`	Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data. Patterns Md Tauhidul Islam, Lei Xing
2023	A	`conf`	PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. WACV Bowen Song, Liyue Shen, Lei Xing
2023	J	`jnl`	Small-Object Sensitive Segmentation Using Across Feature Map Attention. IEEE Trans. Pattern Anal. Mach. Intell. Shengtian Sang, Yuyin Zhou, Md Tauhidul Islam, Lei Xing
2023	J	`jnl`	Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang
2023	—	`conf`	Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images. AMAI@MICCAI Zixia Zhou, Yuming Jiang, Ruijiang Li, Lei Xing
2022	J	`jnl`	A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. Comput. Biol. Medicine Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing
2022	J	`jnl`	An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study. J. Medical Syst. Okyaz Eminaga, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Timothy J. Lee, Lukas Hockman, Xiao Jia, Lei Xing, Joseph C. Liao
2022	—	`ed.`	Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings AMAI@MICCAI Shandong Wu, Behrouz Shabestari, Lei Xing
2022	—	`conf`	CateNorm: Categorical Normalization for Robust Medical Image Segmentation. DART@MICCAI Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou
2022	J	`jnl`	Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy. Comput. Biol. Medicine XiaoKun Liang, Maxime Bassenne, Dimitre H. Hristov, Md Tauhidul Islam, Wei Zhao, Mengyu Jia, Zhicheng Zhang, Michael Gensheimer, Beth M. Beadle, Quynh Le, Lei Xing
2022	J	`jnl`	Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels. CoRR Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing
2022	J	`jnl`	Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. CoRR Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
2022	J	`jnl`	Learning Treatment Plan Representations for Content Based Image Retrieval. CoRR Charles W. Huang, Varun Vasudevan, Oscar Pastor-Serrano, Md Tauhidul Islam, Yusuke Nomura, Yong Yang, Lei Xing
2022	J	`jnl`	Learning to Bootstrap for Combating Label Noise. CoRR Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
2022	J	`jnl`	Novel-view X-ray projection synthesis through geometry-integrated deep learning. Medical Image Anal. Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing
2022	J	`jnl`	Operator splitting for adaptive radiation therapy with nonlinear health dynamics. Optim. Methods Softw. Anqi Fu, Lei Xing, Stephen P. Boyd
2022	A*	`conf`	Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. ICLR Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
2021	J	`jnl`	A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction. CoRR Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing
2021	J	`jnl`	Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. IEEE Trans. Medical Imaging Hyunseok Seo, Maxime Bassenne, Lei Xing
2021	J	`jnl`	Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. IEEE Trans. Medical Imaging Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing
2021	J	`jnl`	Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
2021	J	`jnl`	DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. CoRR Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou
2021	J	`jnl`	Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. Medical Image Anal. Tianling Lyu, Wei Zhao, Yinsu Zhu, Zhan Wu, Yikun Zhang, Yang Chen, Limin Luo, Shuo Li, Lei Xing
2021	J	`jnl`	Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction. Pattern Recognit. Lett. Md Tauhidul Islam, Lei Xing
2021	J	`jnl`	Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. CoRR Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing
2021	J	`jnl`	Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction. CoRR Liyue Shen, John M. Pauly, Lei Xing
2021	J	`jnl`	Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Dynamics. CoRR Anqi Fu, Lei Xing, Stephen Boyd
2021	J	`jnl`	Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface. IEEE Trans. Biomed. Eng. Charles W. Huang, Yong Yang, Neil Panjwani, Stephen P. Boyd, Lei Xing
2021	J	`jnl`	RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
2021	J	`jnl`	Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing
2021	J	`jnl`	Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. CoRR Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
2021	—	`conf`	TransCT: Dual-Path Transformer for Low Dose Computed Tomography. MICCAI (6) Zhicheng Zhang, Lequan Yu, XiaoKun Liang, Wei Zhao, Lei Xing
2021	J	`jnl`	Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2020	J	`jnl`	A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions. CoRR Masoud Badiei Khuzani, Yinyu Ye, Sandy Napel, Lei Xing
2020	J	`jnl`	Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. Neurocomputing Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing
2020	J	`jnl`	Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Trans Autom. Sci. Eng. Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.-H. Meng
2020	—	`conf`	Deciphering tissue relaxation parameters from a single MR image using deep learning. Computer-Aided Diagnosis Yan Wu, Yajun Ma, Jiang Du, Lei Xing
2020	J	`jnl`	Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation. IEEE Trans. Medical Imaging Ivan Olefir, Stratis Tzoumas, Courtney Restivo, Pouyan Mohajerani, Lei Xing, Vasilis Ntziachristos
2020	J	`jnl`	Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images. CoRR Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
2020	J	`jnl`	Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. IEEE Trans Autom. Sci. Eng. Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing
2020	—	`conf`	Difficulty-Aware Meta-learning for Rare Disease Diagnosis. MICCAI (1) Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2020	J	`jnl`	Electro-thermal therapy: Microsecond duration pulsed electric field tissue ablation with dynamic temperature control algorithms. Comput. Biol. Medicine Michael B. Sano, Ross Aaron Petrella, Jacob D. Kaufman, Christopher C. Fesmire, Lei Xing, David Gerber, Callie A. Fogle
2020	J	`jnl`	Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. IEEE Trans. Medical Imaging Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing
2020	J	`jnl`	Multi-Domain Image Completion for Random Missing Input Data. CoRR Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2020	Misc	`conf`	Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning. PSB Wei Zhao, Tianling Lv, Rena Lee, Yang Chen, Lei Xing
2020	J	`jnl`	Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction. CoRR Qiong Xu, Jeff Wang, Hiroki Shirato, Lei Xing
2020	J	`jnl`	Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
2020	J	`jnl`	Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis. CoRR Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
2020	J	`jnl`	Superpixel Region Merging Based on Deep Network for Medical Image Segmentation. ACM Trans. Intell. Syst. Technol. Hui Liu, Haiou Wang, Yan Wu, Lei Xing
2020	J	`jnl`	Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition. Proc. IEEE Xiao Jia, Xiaohan Xing, Yixuan Yuan, Lei Xing, Max Q.-H. Meng
2019	J	`jnl`	A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. CoRR Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing
2019	—	`ed.`	Artificial Intelligence in Radiation Therapy - First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings AIRT@MICCAI Dan Nguyen, Lei Xing, Steve B. Jiang
2019	J	`jnl`	Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. CoRR Charles W. Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, XiaoKun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing
2019	—	`conf`	Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions. Image-Guided Procedures Wei Zhao, Liyue Shen, Yan Wu, Bin Han, Yong Yang, Lei Xing
2019	J	`jnl`	Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
2019	J	`jnl`	Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. CoRR Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles W. Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing
2019	J	`jnl`	Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. CoRR Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing
2019	J	`jnl`	Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space. CoRR Masoud Badiei Khuzani, Hongyi Ren, Varun Vasudevan, Lei Xing
2019	J	`jnl`	Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE J. Biomed. Health Informatics Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
2019	J	`jnl`	On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes. CoRR Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing
2019	—	`conf`	Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet). ISBI Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark K. Buyyounouski, Steve Hancock, Bin Han, Lei Xing
2019	J	`jnl`	Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods. INFORMS J. Comput. Baris Ungun, Lei Xing, Stephen P. Boyd
2019	J	`jnl`	Self-attention convolutional neural network for improved MR image reconstruction. Inf. Sci. Yan Wu, Yajun Ma, Jing Liu, Jiang Du, Lei Xing
2019	—	`conf`	Stochastic Primal-Dual Method for Learning Mixture Policies in Markov Decision Processes. CDC Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing
2019	—	`conf`	Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer. AIRT@MICCAI Wei Zhao, Bin Han, Yong Yang, Mark K. Buyyounouski, Steven L. Hancock, Hilary Bagshaw, Lei Xing
2018	J	`jnl`	A computation study on an integrated alternating direction method of multipliers for large scale optimization. Optim. Lett. Masoud Zarepisheh, Lei Xing, Yinyu Ye
2018	J	`jnl`	Coded-Aperture Compressed Sensing X-Ray Luminescence Tomography. IEEE Trans. Biomed. Eng. Stratis Tzoumas, Don Vernekohl, Lei Xing
2018	—	`conf`	Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. MICCAI (2) Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
2018	J	`jnl`	Generalized Adaptive Gaussian Markov Random Field for X-Ray Luminescence Computed Tomography. IEEE Trans. Biomed. Eng. Guanglei Zhang, Stratis Tzoumas, Kai Cheng, Fei Liu, Jie Liu, Jianwen Luo, Jing Bai, Lei Xing
2018	J	`jnl`	Learning deconvolutional deep neural network for high resolution medical image reconstruction. Inf. Sci. Hui Liu, Jun Xu, Yan Wu, Qiang Guo, Bulat Ibragimov, Lei Xing
2018	J	`jnl`	Optimization of a single insertion electrode array for the creation of clinically relevant ablations using high-frequency irreversible electroporation. Comput. Biol. Medicine Michael B. Sano, Matthew R. DeWitt, Stephanie D. Teeter, Lei Xing
2018	—	`conf`	RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. MICCAI (2) Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing
2018	J	`jnl`	Treatment of Cancer In Vitro Using Radiation and High-Frequency Bursts of Submicrosecond Electrical Pulses. IEEE Trans. Biomed. Eng. Michael B. Sano, Olga Volotskova, Lei Xing
2017	J	`jnl`	Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method. IEEE Trans. Medical Imaging Guanglei Zhang, Fei Liu, Jie Liu, Jianwen Luo, Yaoqin Xie, Jing Bai, Lei Xing
2017	J	`jnl`	Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing
2017	—	`conf`	Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder. MICCAI (3) Yixuan Yuan, Max Q.-H. Meng, Wenjian Qin, Lei Xing
2017	—	`conf`	Recurrent generative adversarial neural networks for compressive imaging. CAMSAP Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing
2017	J	`jnl`	Segmentation of Pathological Structures by Landmark-Assisted Deformable Models. IEEE Trans. Medical Imaging Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing, Tomaz Vrtovec
2016	J	`jnl`	Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching. Comput. Biol. Medicine Youngjun Kim, Yong Hum Na, Lei Xing, Rena Lee, Se Hyung Park
2015	J	`jnl`	Optimized Detector Angular Configuration Increases the Sensitivity of X-ray Fluorescence Computed Tomography (XFCT). IEEE Trans. Medical Imaging Moiz Ahmad, Magdalena Bazalova-Carter, Rebecca Fahrig, Lei Xing
2014	J	`jnl`	Order of Magnitude Sensitivity Increase in X-ray Fluorescence Computed Tomography (XFCT) Imaging With an Optimized Spectro-Spatial Detector Configuration: Theory and Simulation. IEEE Trans. Medical Imaging Moiz Ahmad, Magdalena Bazalova, Liangzhong Xiang, Lei Xing
2014	J	`jnl`	X-Ray Luminescence and X-Ray Fluorescence Computed Tomography: New Molecular Imaging Modalities. IEEE Access Moiz Ahmad, Guillem Pratx, Magdalena Bazalova, Lei Xing
2013	J	`jnl`	First Demonstration of Multiplexed X-Ray Fluorescence Computed Tomography (XFCT) Imaging. IEEE Trans. Medical Imaging Yu Kuang, Guillem Pratx, Magdalena Bazalova, Bowen Meng, Jianguo Qian, Lei Xing
2012	J	`jnl`	Investigation of X-ray Fluorescence Computed Tomography (XFCT) and K-Edge Imaging. IEEE Trans. Medical Imaging Magdalena Bazalova, Yu Kuang, Guillem Pratx, Lei Xing
2011	—	`conf`	3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy. ICMLA (2) Ruijiang Li, Benjamin Fahimian, Lei Xing
2011	—	`conf`	A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates. ICMLA (2) Ruijiang Li, Lei Xing
2011	—	`conf`	Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images. IPMI Guanglei Xiong, Lei Xing
2011	—	`conf`	Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam. ICMLA (2) Woong Cho, Jeong-Hoon Park, Won-Gyun Jung, Tae-Suk Suh, Kayla N. Kielar, Ed Mok, Ruijiang Li, Lei Xing
2010	J	`jnl`	X-Ray Luminescence Computed Tomography via Selective Excitation: A Feasibility Study. IEEE Trans. Medical Imaging Guillem Pratx, Colin Carpenter, Conroy Sun, Lei Xing