Mingxuan Gu
Mingxuan Gu, M. Sc.
Academic CV
- 05/2021 – 05/2024(expected):
Ph.D. candidate at Pattern Recognition Lab, University of Erlangen-Nürnberg - 10/2017 – 03/2021:
Master Student in computational engineering, University of Erlangen-Nürnberg - 09/2013 – 07/2017:
Bachelor Student in electrical engineering/information technology, East China University of Science and Technology/Technische Hochschule Lübeck
Projects
Publications
2025
Unpublished Publications
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction
(2025)
DOI: 10.48550/arXiv.2403.10695
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2024
Journal Articles
A gradient-based approach to fast and accurate head motion compensation in cone-beam CT
In: IEEE Transactions on Medical Imaging (2024), p. 1-1
ISSN: 0278-0062
DOI: 10.1109/TMI.2024.3474250
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Conference Contributions
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Cham: 2024
DOI: 10.1007/978-3-031-72104-5_25
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Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models
The 8th International Conference on Image Formation in X-Ray Computed Tomography (Bamberg, Germany, August 5, 2024 - August 9, 2024)
DOI: 10.48550/arXiv.2404.03541
URL: https://arxiv.org/pdf/2404.03541
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Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
(2024)
DOI: 10.48550/arXiv.2401.16039
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Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_60
URL: https://arxiv.org/abs/2303.00449
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On the influence of smoothness constraints in computed tomography motion compensation
8th International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting) (Bamberg, August 5, 2024 - August 9, 2024)
URL: https://www.ct-meeting.org/?p=program
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2023
Journal Articles
Gradient-based geometry learning for fan-beam CT reconstruction
In: Physics in Medicine and Biology 68 (2023), Article No.: 205004
ISSN: 0031-9155
DOI: 10.1088/1361-6560/acf90e
URL: https://iopscience.iop.org/article/10.1088/1361-6560/acf90e
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Conference Contributions
Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model
BVM Workshop Bildverarbeitung für die Medizin 2023 (Braunschweig, July 2, 2023 - July 4, 2023)
In: Bildverarbeitung für die Medizin 2023 2023
DOI: 10.1007/978-3-658-41657-7_19
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Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, DEU, July 2, 2023 - July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_56
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McLabel: A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, DEU, July 2, 2023 - July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_20
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Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising
28th International Conference on Information Processing in Medical Imaging, IPMI 2023 (San Carlos de Bariloche, ARG, June 18, 2023 - June 23, 2023)
In: Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
DOI: 10.1007/978-3-031-34048-2_59
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On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230511
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2022
Journal Articles
Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
In: Scientific Reports 12 (2022), Article No.: 17540
ISSN: 2045-2322
DOI: 10.1038/s41598-022-22530-4
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Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator
In: Journal of Microscopy (2022)
ISSN: 0022-2720
DOI: 10.1111/jmi.13125
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Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography
In: Medical Physics 49 (2022), p. 5107-5120
ISSN: 0094-2405
DOI: 10.1002/mp.15718
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Conference Contributions
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_5
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Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
7th International Conference on Image Formation in X-Ray Computed Tomography (Baltimore, June 12, 2022 - June 16, 2022)
In: Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230409 (2022) 2022
DOI: 10.1117/12.2646442
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Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_22
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2021
Journal Articles
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation
In: IEEE transactions on medical imaging (2021)
ISSN: 1558-254X
DOI: 10.1109/TMI.2021.3066683
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2020
Journal Articles
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
In: IEEE Journal of Biomedical and Health Informatics (2020)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2020.3046449
URL: https://ieeexplore.ieee.org/document/9302580
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Lectures
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Students Theses
Student | Title | Type | Status |
---|---|---|---|
Mingcheng Fan | Unsupervised Domain Adaptation Using Contrastive Learning for Multi-modal Cardiac MR Segmentation | MA thesis | finished |
Johannes Enk | Semi-supervised learning for multi-modal bone segmentation | BA thesis | finished |