Yixing Huang

Orcid: 0000-0003-2627-3077

Affiliations:
  • Friedrich Alexander University of Erlangen-Nuremberg, Pattern Recognition Laboratory, Erlangen, Germany


According to our database1, Yixing Huang authored at least 63 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution.
IEEE Trans. Instrum. Meas., 2024

BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction.
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

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
Medical Image Anal., 2024

Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data.
CoRR, 2024

Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion.
CoRR, 2024

Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology.
CoRR, 2024

Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma.
CoRR, 2024

Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation.
CoRR, 2024

Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy.
CoRR, 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

An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration.
IEEE Access, 2024

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Exploring Epipolar Consistency Conditions.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Metal-conscious Embedding for CBCT Projection Inpainting.
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

BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction.
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

Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy.
CoRR, 2023

Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning.
CoRR, 2023

Metal-conscious Embedding for CBCT Projection Inpainting.
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
Deep Learning for automatic head and neck lymph node level delineation.
CoRR, 2022

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.
CoRR, 2022

Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification.
CoRR, 2022

Learning Perspective Deformation in X-Ray Transmission Imaging.
CoRR, 2022

Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography.
CoRR, 2022

Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Machine Learning-based Detection of Spherical Markers in CT Volumes.
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

Cephalogram synthesis and landmark detection in dental cone-beam CT systems.
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

Appearance Learning for Image-Based Motion Estimation in Tomography.
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

Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images.
CoRR, 2020

Projection Inpainting Using Partial Convolution for Metal Artifact Reduction.
CoRR, 2020

Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning.
CoRR, 2020

Field of View Extension in Computed Tomography Using Deep Learning Prior.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Robust mixed one-bit compressive sensing.
Signal Process., 2019

Superpixel-Based Background Recovery from Multiple Images.
CoRR, 2019

Traditional machine learning for limited angle tomography.
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

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.
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
Scale-Space Anisotropic Total Variation for Limited Angle Tomography.
CoRR, 2017

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction.
CoRR, 2017

Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT.
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

A new weighted anisotropic total variation algorithm for limited angle tomography.
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


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