Mareike Thies

Orcid: 0000-0002-1364-4337

According to our database1, Mareike Thies authored at least 37 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction.
CoRR, 2024

Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration 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

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

Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Task-based Generation of Optimized Projection Sets using Differentiable Ranking.
CoRR, 2023

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

Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography.
CoRR, 2023

Optimizing CT Scan Geometries With and Without Gradients.
CoRR, 2023

Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deepnapsi: Deep Learning for Nail Psoriasis Prediction.
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

Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model.
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

Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography.
IEEE Trans. Computational Imaging, 2021

2020
A County-level Dataset for Informing the United States' Response to COVID-19.
CoRR, 2020

A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance.
Int. J. Comput. Assist. Radiol. Surg., 2020


  Loading...