Yixing Huang
Orcid: 0000-0003-2627-3077Affiliations:
- Friedrich Alexander University of Erlangen-Nuremberg, Pattern Recognition Laboratory, Erlangen, Germany
According to our database1,
Yixing Huang
authored at least 54 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution.
IEEE Trans. Instrum. Meas., 2024
OSNet and MNetO: Two Types of General Reconstruction Architectures to Transform DBP Images for Linear Computed Tomography in Multi-Scenarios.
IEEE Trans. Instrum. Meas., 2024
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction.
CoRR, 2024
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization.
CoRR, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Weighted Filtered Back-Projection for Source Translation Computed Tomography Reconstruction.
IEEE Trans. Instrum. Meas., 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration.
CoRR, 2023
OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios.
CoRR, 2023
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding.
CoRR, 2023
CoRR, 2023
Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training Exam (TXIT): Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology.
CoRR, 2023
The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning.
CoRR, 2023
CoRR, 2023
Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning.
CoRR, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-assisted Spine Surgery.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
CoRR, 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification.
CoRR, 2022
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography.
CoRR, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
Data Extrapolation From Learned Prior Images for Truncation Correction in Computed Tomography.
IEEE Trans. Medical Imaging, 2021
Medical Image Anal., 2021
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data.
CoRR, 2021
Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery.
CoRR, 2021
Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography.
PhD thesis, 2020
IEEE Trans. Medical Imaging, 2020
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization.
CoRR, 2020
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems.
IEEE Trans. Medical Imaging, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction.
CoRR, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Comparison of SART and ETV reconstruction for increased C-arm CT volume coverage by proper detector rotation in liver imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016
Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016