Mingxuan Gu
Orcid: 0000-0002-5244-4397
According to our database1,
Mingxuan Gu
authored at least 30 papers
between 2021 and 2024.
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Bibliography
2024
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation.
CoRR, 2024
Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy.
CoRR, 2024
CoRR, 2024
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction.
CoRR, 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
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
CoRR, 2023
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
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
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
CoRR, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
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
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