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2020 – today
- 2024
[c14]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas K. Maier:
Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. Bildverarbeitung für die Medizin 2024: 159- [c13]Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier:
Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. Bildverarbeitung für die Medizin 2024: 204 - [c12]Mareike Thies, Fabian Wagner, Mingxuan Gu, Siyuan Mei
, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Exploring Epipolar Consistency Conditions. Bildverarbeitung für die Medizin 2024: 211-216 - [c11]Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. MICCAI (7) 2024: 253-263 - [c10]Mingxuan Gu, Mareike Thies, Siyuan Mei, Fabian Wagner, Mingcheng Fan, Yipeng Sun, Zhaoya Pan, Sulaiman Vesal, Ronak Kosti, Dennis Possart, Jonas Utz, Andreas K. Maier:
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. MICCAI (9) 2024: 681-691 - [i19]Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas K. Maier:
A gradient-based approach to fast and accurate head motion compensation in cone-beam CT. CoRR abs/2401.09283 (2024) - [i18]Yipeng Sun, Linda-Sophie Schneider, Fuxin Fan, Mareike Thies, Mingxuan Gu, Siyuan Mei, Yuzhong Zhou, Siming Bayer, Andreas K. Maier:
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series. CoRR abs/2401.16039 (2024) - [i17]Yipeng Sun, Yixing Huang, Linda-Sophie Schneider, Mareike Thies, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier:
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction. CoRR abs/2403.10695 (2024) - [i16]Siyuan Mei, Fuxin Fan, Fabian Wagner, Mareike Thies, Mingxuan Gu, Yipeng Sun, Andreas K. Maier:
Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models. CoRR abs/2404.03541 (2024) - [i15]Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images. CoRR abs/2404.14747 (2024) - [i14]Siyuan Mei, Fuxin Fan, Mareike Thies, Mingxuan Gu, Fabian Wagner, Oliver Aust, Ina Erceg, Zeynab Mirzaei, Georgiana Neag, Yipeng Sun, Yixing Huang, Andreas Maier:
Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy. CoRR abs/2404.14807 (2024) - [i13]Mareike Thies, Fabian Wagner, Noah Maul, Siyuan Mei, Mingxuan Gu, Laura Pfaff, Nastassia Vysotskaya, Haijun Yu, Andreas Maier:
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation. CoRR abs/2405.19079 (2024) - 2023
- [c9]Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier:
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. Bildverarbeitung für die Medizin 2023: 63 - [c8]Adarsh Raghunath, Fabian Wagner, Mareike Thies, Mingxuan Gu, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier:
Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. Bildverarbeitung für die Medizin 2023: 76-81 - [c7]Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin 2023: 82-87 - [c6]Mingxuan Gu, Mareike Thies, Fabian Wagner, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Zhaoya Pan, Jonas Utz, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier:
Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. Bildverarbeitung für die Medizin 2023: 254-259 - [c5]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. ICCV (Workshops) 2023: 3858-3866 - [c4]Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas Maier:
Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising. IPMI 2023: 771-782 - [c3]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier:
On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. ISBI 2023: 1-5 - [i12]Mareike Thies, Fabian Wagner, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. CoRR abs/2303.00449 (2023) - [i11]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. CoRR abs/2308.01769 (2023) - 2022
- [c2]Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier:
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. Bildverarbeitung für die Medizin 2022: 20-25 - [c1]Fabian Wagner, Mareike Thies, Marek Karolczak, Sabrina Pechmann, Yixing Huang, Mingxuan Gu, Lasse Kling, Daniela Weidner, Oliver Aust, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. Bildverarbeitung für die Medizin 2022: 107-112 - [i10]Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier:
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. CoRR abs/2201.07562 (2022) - [i9]Fabian Wagner, Mareike Thies, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Mayank Patwari, Stefan B. Ploner, Oliver Aust, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. CoRR abs/2201.10345 (2022) - [i8]Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier:
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. CoRR abs/2201.12386 (2022) - [i7]Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas K. Maier, Ronak Kosti:
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. CoRR abs/2206.03888 (2022) - [i6]Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier:
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. CoRR abs/2207.07368 (2022) - [i5]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas K. Maier:
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting. CoRR abs/2211.01111 (2022) - [i4]Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier:
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. CoRR abs/2212.02177 (2022) - [i3]Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas K. Maier:
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising. CoRR abs/2212.04832 (2022) - 2021
- [j3]Mingxuan Gu, Ranhong Xie, Guowen Jin, Liang Shao:
A hybrid compression method for the NMR data based on window averaging and Discrete Cosine Transform. Comput. Geosci. 157: 104914 (2021) - [j2]Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar:
Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. IEEE J. Biomed. Health Informatics 25(7): 2698-2709 (2021) - [j1]Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar:
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1838-1851 (2021) - [i2]Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar:
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. CoRR abs/2103.08219 (2021) - 2020
- [i1]Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar:
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR abs/2012.13364 (2020)
Coauthor Index
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