Lei Xing
Orcid: 0000-0003-2536-5359Affiliations:
- Stanford University, Department of Radiation Oncology, Palo Alto, CA, USA
According to our database1,
Lei Xing
authored at least 86 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation.
Comput. Biol. Medicine, March, 2024
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.
Briefings Bioinform., January, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data.
Patterns, October, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Pattern Recognit. Lett., February, 2023
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans. Medical Imaging, 2023
CoRR, 2023
PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Optim. Methods Softw., 2022
Medical Image Anal., 2022
An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.
J. Medical Syst., 2022
CoRR, 2022
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Comput. Biol. Medicine, 2022
Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.
Comput. Biol. Medicine, 2022
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.
IEEE Trans. Medical Imaging, 2021
Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions.
IEEE Trans. Medical Imaging, 2021
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021
Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface.
IEEE Trans. Biomed. Eng., 2021
Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction.
Pattern Recognit. Lett., 2021
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network.
Medical Image Anal., 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.
CoRR, 2021
CoRR, 2021
CoRR, 2021
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
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, 2020
Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.
IEEE Trans. Medical Imaging, 2020
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2020
ACM Trans. Intell. Syst. Technol., 2020
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition.
IEEE Trans Autom. Sci. Eng., 2020
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction.
IEEE Trans Autom. Sci. Eng., 2020
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition.
Proc. IEEE, 2020
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation.
Neurocomputing, 2020
CoRR, 2020
CoRR, 2020
Electro-thermal therapy: Microsecond duration pulsed electric field tissue ablation with dynamic temperature control algorithms.
Comput. Biol. Medicine, 2020
Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
IEEE Trans. Medical Imaging, 2019
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.
IEEE J. Biomed. Health Informatics, 2019
Inf. Sci., 2019
Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods.
INFORMS J. Comput., 2019
CoRR, 2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications.
CoRR, 2019
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks.
CoRR, 2019
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes.
CoRR, 2019
Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space.
CoRR, 2019
Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet).
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Stochastic Primal-Dual Method for Learning Mixture Policies in Markov Decision Processes.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Generalized Adaptive Gaussian Markov Random Field for X-Ray Luminescence Computed Tomography.
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
Treatment of Cancer In Vitro Using Radiation and High-Frequency Bursts of Submicrosecond Electrical Pulses.
IEEE Trans. Biomed. Eng., 2018
A computation study on an integrated alternating direction method of multipliers for large scale optimization.
Optim. Lett., 2018
Learning deconvolutional deep neural network for high resolution medical image reconstruction.
Inf. Sci., 2018
Optimization of a single insertion electrode array for the creation of clinically relevant ablations using high-frequency irreversible electroporation.
Comput. Biol. Medicine, 2018
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
CoRR, 2017
Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching.
Comput. Biol. Medicine, 2016
2015
Optimized Detector Angular Configuration Increases the Sensitivity of X-ray Fluorescence Computed Tomography (XFCT).
IEEE Trans. Medical Imaging, 2015
2014
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, 2014
X-Ray Luminescence and X-Ray Fluorescence Computed Tomography: New Molecular Imaging Modalities.
IEEE Access, 2014
2013
First Demonstration of Multiplexed X-Ray Fluorescence Computed Tomography (XFCT) Imaging.
IEEE Trans. Medical Imaging, 2013
2012
IEEE Trans. Medical Imaging, 2012
2011
Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images.
Proceedings of the Information Processing in Medical Imaging, 2011
A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
X-Ray Luminescence Computed Tomography via Selective Excitation: A Feasibility Study.
IEEE Trans. Medical Imaging, 2010