Mingxuan Gu

Orcid: 0000-0002-5244-4397

According to our database1, Mingxuan Gu authored at least 24 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series.
CoRR, 2024

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT.
CoRR, 2024

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

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

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising.
Proceedings of the Information Processing in Medical Imaging, 2023

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction.
CoRR, 2022

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

ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation.
CoRR, 2022

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

Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations.
CoRR, 2022

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

Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification.
IEEE J. Biomed. Health Informatics, 2021

A hybrid compression method for the NMR data based on window averaging and Discrete Cosine Transform.
Comput. Geosci., 2021

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation.
CoRR, 2021


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