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ORCIDLei Xing 0001
Person information
- affiliation: Stanford University, Department of Radiation Oncology, Palo Alto, CA, USA
Other persons with the same name
- Lei Xing — disambiguation page
- Lei Xing 0002
![[0000-0002-0360-8025]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0360-8025")
— University of Oxford, Department of Engineering Science, UK - Lei Xing 0003 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- Lei Xing 0004 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, China (and 1 more)
- Lei Xing 0005 — China University of Petroleum, College of Oceanography and Space Informatics, Qingdao, Chin
- Lei Xing 0006 — Ocean University of China, Key Laboratory of Submarine Geosciences and Prospecting Techniques, Qingdao, China
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2020 – today
- 2024
[j53]Qingyue Wei, Md Tauhidul Islam, Yuyin Zhou, Lei Xing:
Self-supervised deep learning of gene-gene interactions for improved gene expression recovery. Briefings Bioinform. 25(2) (2024)- [j52]Xiao Jia, Yutian Shen, Jianhong Yang, Ran Song, Wei Zhang, Max Q.-H. Meng, Joseph C. Liao, Lei Xing:
PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation. Comput. Biol. Medicine 170: 108006 (2024) - [j51]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:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j50]Md Tauhidul Islam, Lei Xing:
Deciphering the Feature Representation of Deep Neural Networks for High-Performance AI. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5273-5287 (2024) - [j49]Liyue Shen, John M. Pauly, Lei Xing:
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 770-782 (2024) - [j48]Zixia Zhou, Md Tauhidul Islam, Lei Xing:
Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7351-7362 (2024) - [c24]Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR 2024: 23523-23533 - [c23]Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou:
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. ICML 2024 - [c22]Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu:
Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. MLMI@MICCAI (1) 2024: 177-186 - [e3]Shandong Wu, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14313, Springer 2024, ISBN 978-3-031-47075-2 [contents] - [i32]Sheng Liu, Oscar Pastor-Serrano, Yizheng Chen, Matthew Gopaulchan, Weixing Liang, Mark Buyyounouski, Erqi Pollom, Quynh-Thu Le, Michael Gensheimer, Peng Dong, Yong Yang, James Zou, Lei Xing:
Automated radiotherapy treatment planning guided by GPT-4Vision. CoRR abs/2406.15609 (2024) - [i31]Praveenbalaji Rajendran, Yong Yang, Thomas R. Niedermayr, Michael Gensheimer, Beth M. Beadle, Quynh-Thu Le, Lei Xing, Xianjin Dai:
Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy. CoRR abs/2407.07296 (2024) - [i30]Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou:
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. CoRR abs/2408.02900 (2024) - [i29]Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu:
Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging. CoRR abs/2409.19420 (2024) - [i28]Md Tauhidul Islam, Lei Xing:
Discovering distinctive elements of biomedical datasets for high-performance exploration. CoRR abs/2410.05436 (2024) - [i27]Sheng Liu, Haotian Ye, Lei Xing, James Zou:
Reducing Hallucinations in Vision-Language Models via Latent Space Steering. CoRR abs/2410.15778 (2024) - 2023
- [j47]Shengtian Sang, Yuyin Zhou, Md Tauhidul Islam, Lei Xing:
Small-Object Sensitive Segmentation Using Across Feature Map Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6289-6306 (2023) - [j46]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:
Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13408-13421 (2023) - [j45]Md Tauhidul Islam, Lei Xing:
Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data. Patterns 4(10): 100840 (2023) - [j44]Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing:
Image classification using graph neural network and multiscale wavelet superpixels. Pattern Recognit. Lett. 166: 89-96 (2023) - [j43]Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou:
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging 42(7): 1932-1943 (2023) - [c21]Zixia Zhou, Yuming Jiang, Ruijiang Li, Lei Xing:
Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images. AMAI@MICCAI 2023: 125-134 - [c20]Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou:
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. MICCAI (4) 2023: 183-193 - [c19]Bowen Song, Liyue Shen, Lei Xing:
PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. WACV 2023: 1928-1937 - [i26]Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou:
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation. CoRR abs/2307.11604 (2023) - [i25]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:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i24]Sheng Liu, Lei Xing, James Zou:
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. CoRR abs/2311.06668 (2023) - 2022
- [j42]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:
Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy. Comput. Biol. Medicine 141: 105139 (2022) - [j41]Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing:
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. Comput. Biol. Medicine 148: 105710 (2022) - [j40]Okyaz Eminaga, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Timothy J. Lee, Lukas Hockman, Xiao Jia, Lei Xing, Joseph C. Liao:
An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study. J. Medical Syst. 46(11): 73 (2022) - [j39]Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing:
Novel-view X-ray projection synthesis through geometry-integrated deep learning. Medical Image Anal. 77: 102372 (2022) - [j38]Anqi Fu, Lei Xing, Stephen P. Boyd:
Operator splitting for adaptive radiation therapy with nonlinear health dynamics. Optim. Methods Softw. 37(6): 2300-2323 (2022) - [c18]Yang Song, Liyue Shen, Lei Xing, Stefano Ermon:
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. ICLR 2022 - [c17]Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou:
CateNorm: Categorical Normalization for Robust Medical Image Segmentation. DART@MICCAI 2022: 129-146 - [e2]Shandong Wu, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13540, Springer 2022, ISBN 978-3-031-17720-0 [contents] - [i23]Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing:
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels. CoRR abs/2201.12633 (2022) - [i22]Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
Learning to Bootstrap for Combating Label Noise. CoRR abs/2202.04291 (2022) - [i21]Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou:
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. CoRR abs/2205.08576 (2022) - [i20]Charles W. Huang, Varun Vasudevan, Oscar Pastor-Serrano, Md Tauhidul Islam, Yusuke Nomura, Yong Yang, Lei Xing:
Learning Treatment Plan Representations for Content Based Image Retrieval. CoRR abs/2206.02912 (2022) - 2021
- [j37]Tianling Lyu, Wei Zhao, Yinsu Zhu, Zhan Wu, Yikun Zhang, Yang Chen, Limin Luo, Shuo Li, Lei Xing:
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. Medical Image Anal. 70: 102001 (2021) - [j36]Md Tauhidul Islam, Lei Xing:
Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction. Pattern Recognit. Lett. 151: 155-162 (2021) - [j35]Charles W. Huang, Yong Yang, Neil Panjwani, Stephen P. Boyd, Lei Xing:
Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface. IEEE Trans. Biomed. Eng. 68(10): 2907-2917 (2021) - [j34]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 40(1): 228-238 (2021) - [j33]Hyunseok Seo, Maxime Bassenne, Lei Xing:
Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. IEEE Trans. Medical Imaging 40(2): 585-593 (2021) - [j32]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:
Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging 40(4): 1113-1122 (2021) - [j31]Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing:
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 40(9): 2284-2294 (2021) - [j30]Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing:
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. IEEE Trans. Medical Imaging 40(12): 3369-3378 (2021) - [j29]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 32(2): 523-534 (2021) - [c16]Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing:
TransCT: Dual-Path Transformer for Low Dose Computed Tomography. MICCAI (6) 2021: 55-64 - [i19]Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou:
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. CoRR abs/2103.15858 (2021) - [i18]Anqi Fu, Lei Xing, Stephen Boyd:
Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Dynamics. CoRR abs/2105.01286 (2021) - [i17]Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing:
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction. CoRR abs/2105.11692 (2021) - [i16]Liyue Shen, John M. Pauly, Lei Xing:
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction. CoRR abs/2108.10991 (2021) - [i15]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing:
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. CoRR abs/2109.13483 (2021) - [i14]Yang Song, Liyue Shen, Lei Xing, Stefano Ermon:
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. CoRR abs/2111.08005 (2021) - [i13]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:
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR abs/2111.11665 (2021) - 2020
- [j28]Michael B. Sano, Ross Aaron Petrella, Jacob D. Kaufman, Christopher C. Fesmire, Lei Xing, David Gerber, Callie A. Fogle:
Electro-thermal therapy: Microsecond duration pulsed electric field tissue ablation with dynamic temperature control algorithms. Comput. Biol. Medicine 121: 103807 (2020) - [j27]Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing:
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. Neurocomputing 392: 181-188 (2020) - [j26]Xiao Jia, Xiaohan Xing, Yixuan Yuan, Lei Xing, Max Q.-H. Meng:
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition. Proc. IEEE 108(1): 178-197 (2020) - [j25]Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing:
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. IEEE Trans Autom. Sci. Eng. 17(2): 574-583 (2020) - [j24]Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.-H. Meng:
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Trans Autom. Sci. Eng. 17(3): 1570-1584 (2020) - [j23]Hui Liu, Haiou Wang, Yan Wu, Lei Xing:
Superpixel Region Merging Based on Deep Network for Medical Image Segmentation. ACM Trans. Intell. Syst. Technol. 11(4): 39:1-39:22 (2020) - [j22]Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing:
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 39(5): 1316-1325 (2020) - [j21]Ivan Olefir, Stratis Tzoumas, Courtney Restivo, Pouyan Mohajerani, Lei Xing, Vasilis Ntziachristos:
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation. IEEE Trans. Medical Imaging 39(11): 3643-3654 (2020) - [j20]Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 39(12): 4023-4033 (2020) - [c15]Yan Wu, Yajun Ma, Jiang Du, Lei Xing:
Deciphering tissue relaxation parameters from a single MR image using deep learning. Medical Imaging: Computer-Aided Diagnosis 2020 - [c14]Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Difficulty-Aware Meta-learning for Rare Disease Diagnosis. MICCAI (1) 2020: 357-366 - [c13]Wei Zhao, Tianling Lv, Rena Lee, Yang Chen, Lei Xing:
Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning. PSB 2020: 139-148 - [i12]Masoud Badiei Khuzani, Yinyu Ye, Sandy Napel, Lei Xing:
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions. CoRR abs/2006.13330 (2020) - [i11]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:
Multi-Domain Image Completion for Random Missing Input Data. CoRR abs/2007.05534 (2020) - [i10]Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis. CoRR abs/2007.11067 (2020) - [i9]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images. CoRR abs/2009.07469 (2020) - [i8]Qiong Xu, Jeff Wang, Hiroki Shirato, Lei Xing:
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction. CoRR abs/2010.09953 (2020)
2010 – 2019
- 2019
- [j19]Baris Ungun, Lei Xing, Stephen P. Boyd:
Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods. INFORMS J. Comput. 31(3): 544-558 (2019) - [j18]Yan Wu, Yajun Ma, Jing Liu, Jiang Du, Lei Xing:
Self-attention convolutional neural network for improved MR image reconstruction. Inf. Sci. 490: 317-328 (2019) - [j17]Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing:
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE J. Biomed. Health Informatics 23(5): 1821-1833 (2019) - [j16]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly:
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38(1): 167-179 (2019) - [c12]Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing:
Stochastic Primal-Dual Method for Learning Mixture Policies in Markov Decision Processes. CDC 2019: 1293-1300 - [c11]Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing:
Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet). ISBI 2019: 434-437 - [c10]Wei Zhao, Bin Han, Yong Yang, Mark Buyyounouski, Steven L. Hancock, Hilary Bagshaw, Lei Xing:
Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer. AIRT@MICCAI 2019: 34-42 - [c9]Wei Zhao, Liyue Shen, Yan Wu, Bin Han, Yong Yang, Lei Xing:
Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions. Medical Imaging: Image-Guided Procedures 2019: 109510B - [e1]Dan Nguyen, Lei Xing, Steve B. Jiang:
Artificial Intelligence in Radiation Therapy - First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11850, Springer 2019, ISBN 978-3-030-32485-8 [contents] - [i7]Masoud Badiei Khuzani, Hongyi Ren, Varun Vasudevan, Lei Xing:
Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space. CoRR abs/1902.10365 (2019) - [i6]Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing:
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes. CoRR abs/1903.06727 (2019) - [i5]Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing:
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. CoRR abs/1909.11820 (2019) - [i4]Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing:
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. CoRR abs/1911.00140 (2019) - [i3]Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles W. Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing:
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. CoRR abs/1911.02521 (2019) - [i2]Charles W. Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing:
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. CoRR abs/1911.10417 (2019) - 2018
- [j15]Michael B. Sano, Matthew R. DeWitt, Stephanie D. Teeter, Lei Xing:
Optimization of a single insertion electrode array for the creation of clinically relevant ablations using high-frequency irreversible electroporation. Comput. Biol. Medicine 95: 107-117 (2018) - [j14]Hui Liu, Jun Xu, Yan Wu, Qiang Guo, Bulat Ibragimov, Lei Xing:
Learning deconvolutional deep neural network for high resolution medical image reconstruction. Inf. Sci. 468: 142-154 (2018) - [j13]Masoud Zarepisheh, Lei Xing, Yinyu Ye:
A computation study on an integrated alternating direction method of multipliers for large scale optimization. Optim. Lett. 12(1): 3-15 (2018) - [j12]Michael B. Sano, Olga Volotskova, Lei Xing:
Treatment of Cancer In Vitro Using Radiation and High-Frequency Bursts of Submicrosecond Electrical Pulses. IEEE Trans. Biomed. Eng. 65(4): 928-935 (2018) - [j11]Stratis Tzoumas, Don Vernekohl, Lei Xing:
Coded-Aperture Compressed Sensing X-Ray Luminescence Tomography. IEEE Trans. Biomed. Eng. 65(8): 1892-1895 (2018) - [j10]Guanglei Zhang, Stratis Tzoumas, Kai Cheng, Fei Liu, Jie Liu, Jianwen Luo, Jing Bai, Lei Xing:
Generalized Adaptive Gaussian Markov Random Field for X-Ray Luminescence Computed Tomography. IEEE Trans. Biomed. Eng. 65(9): 2130-2133 (2018) - [c8]Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing:
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. MICCAI (2) 2018: 620-628 - [c7]Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing:
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. MICCAI (2) 2018: 684-692 - 2017
- [j9]Guanglei Zhang, Fei Liu, Jie Liu, Jianwen Luo, Yaoqin Xie, Jing Bai, Lei Xing:
Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method. IEEE Trans. Medical Imaging 36(1): 225-235 (2017) - [j8]Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing, Tomaz Vrtovec:
Segmentation of Pathological Structures by Landmark-Assisted Deformable Models. IEEE Trans. Medical Imaging 36(7): 1457-1469 (2017) - [c6]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing:
Recurrent generative adversarial neural networks for compressive imaging. CAMSAP 2017: 1-5 - [c5]Yixuan Yuan, Max Q.-H. Meng, Wenjian Qin, Lei Xing:
Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder. MICCAI (3) 2017: 577-585 - [i1]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:
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR abs/1706.00051 (2017) - 2016
- [j7]Youngjun Kim, Yong Hum Na, Lei Xing, Rena Lee, Se Hyung Park:
Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching. Comput. Biol. Medicine 77: 173-181 (2016) - 2015
- [j6]Moiz Ahmad, Magdalena Bazalova-Carter, Rebecca Fahrig, Lei Xing:
Optimized Detector Angular Configuration Increases the Sensitivity of X-ray Fluorescence Computed Tomography (XFCT). IEEE Trans. Medical Imaging 34(5): 1140-1147 (2015) - 2014
- [j5]Moiz Ahmad, Guillem Pratx, Magdalena Bazalova, Lei Xing:
X-Ray Luminescence and X-Ray Fluorescence Computed Tomography: New Molecular Imaging Modalities. IEEE Access 2: 1051-1061 (2014) - [j4]Moiz Ahmad, Magdalena Bazalova, Liangzhong Xiang, Lei Xing:
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 33(5): 1119-1128 (2014) - 2013
- [j3]Yu Kuang, Guillem Pratx, Magdalena Bazalova, Bowen Meng, Jianguo Qian, Lei Xing:
First Demonstration of Multiplexed X-Ray Fluorescence Computed Tomography (XFCT) Imaging. IEEE Trans. Medical Imaging 32(2): 262-267 (2013) - 2012
- [j2]Magdalena Bazalova, Yu Kuang, Guillem Pratx, Lei Xing:
Investigation of X-ray Fluorescence Computed Tomography (XFCT) and K-Edge Imaging. IEEE Trans. Medical Imaging 31(8): 1620-1627 (2012) - 2011
- [c4]Ruijiang Li, Lei Xing:
A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates. ICMLA (2) 2011: 206-209 - [c3]Ruijiang Li, Benjamin Fahimian, Lei Xing:
3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy. ICMLA (2) 2011: 210-214 - [c2]Woong Cho, Jeong-Hoon Park, Won-Gyun Jung, Tae-Suk Suh, Kayla N. Kielar, Ed Mok, Ruijiang Li, Lei Xing:
Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam. ICMLA (2) 2011: 215-219 - [c1]Guanglei Xiong, Lei Xing:
Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images. IPMI 2011: 486-497 - 2010
- [j1]Guillem Pratx, Colin Carpenter, Conroy Sun, Lei Xing:
X-Ray Luminescence Computed Tomography via Selective Excitation: A Feasibility Study. IEEE Trans. Medical Imaging 29(12): 1992-1999 (2010)
Coauthor Index
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