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ORCIDSteffen Kappler
2020 – today
- 2024
[c11]Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas K. Maier:
Abstract: Metal-conscious Embedding for CBCT Projection Inpainting. Bildverarbeitung für die Medizin 2024: 156- [c10]Dominik Eckert, Magdalena Herbst, Julia Wicklein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober:
Guidance to Noise Simulation in X-ray Imaging. Bildverarbeitung für die Medizin 2024: 184-189 - [c9]Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Abstract: Realistic Collimated X-ray Image Simulation Pipeline. Bildverarbeitung für die Medizin 2024: 218 - [c8]Christian Hümmer, Ramyar Biniazan, Manasi Datar, Martin Kraus, Andreas Fieselmann, Steffen Kappler:
Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation. ISBI 2024: 1-5 - [i7]Dominik Eckert, Christopher Syben, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Sebastian Stober:
StyleX: A Trainable Metric for X-ray Style Distances. CoRR abs/2405.14718 (2024) - [i6]Dominik Eckert, Ludwig Ritschl, Christopher Syben, Christian Hümmer, Julia Wicklein, Marcel Beister, Steffen Kappler, Sebastian Stober:
An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter. CoRR abs/2411.07072 (2024) - [i5]Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
A Realistic Collimated X-Ray Image Simulation Pipeline. CoRR abs/2411.10308 (2024) - 2023
- [c7]Wai Yan Ryana Fok
, Andreas Fieselmann, Magdalena Herbst, Ludwig Ritschl, Marcel Beister, Steffen Kappler, Sylvia Saalfeld:
Cross-modality Training Approach for CT Super-resolution Network. Bildverarbeitung für die Medizin 2023: 306-311 - [c6]Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas Maier:
Metal-conscious Embedding for CBCT Projection Inpainting. ISBI 2023: 1-5 - [c5]Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
A Realistic Collimated X-Ray Image Simulation Pipeline. DALI@MICCAI 2023: 137-145 - 2022
- [c4]Richin Sukesh, Andreas Fieselmann, Srikrishna Jaganathan, Karthik Shetty, Rainer Kärgel, Florian Kordon, Steffen Kappler, Andreas K. Maier:
Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes. Bildverarbeitung für die Medizin 2022: 63-68 - [i4]Fuxin Fan, Ludwig Ritschl, Marcel Beister, Ramyar Biniazan, Björn W. Kreher, Tristan M. Gottschalk, Steffen Kappler, Andreas K. Maier:
Simulation-Driven Training of Vision Transformers Enabling Metal Segmentation in X-Ray Images. CoRR abs/2203.09207 (2022) - [i3]Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas K. Maier:
Metal-conscious Embedding for CBCT Projection Inpainting. CoRR abs/2211.16219 (2022) - 2020
- [c3]Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation. Bildverarbeitung für die Medizin 2020: 94-100 - [c2]Christoph Luckner, Magdalena Herbst, Michael Fuhrmann, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Combining 2-D and 3-D Weight-Bearing X-Ray Images. Bildverarbeitung für die Medizin 2020: 335-340 - [i2]Eduardo Jose Mortani Barbosa Jr., Warren B. Gefter, Rochelle Yang, Florin C. Ghesu, Siqi Liu, Boris Mailhé, Awais Mansoor, Sasa Grbic, Sebastian Piat, Guillaume Chabin, R. S. Vishwanath, Abishek Balachandran, Sebastian Vogt, Valentin Ziebandt, Steffen Kappler, Dorin Comaniciu:
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth. CoRR abs/2008.06330 (2020)
2010 – 2019
- 2019
- [c1]Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. Image Perception, Observer Performance, and Technology Assessment 2019: 109520O - [i1]Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation. CoRR abs/1912.05240 (2019) - 2018
- [j4]Thomas Weidinger, Thorsten M. Buzug, Thomas Flohr, Steffen Kappler, Karl Stierstorfer:
Corrigendum to "Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography". Int. J. Biomed. Imaging 2018: 5932653:1 (2018) - 2017
- [j3]Okkyun Lee, Steffen Kappler, Christoph Polster, Katsuyuki Taguchi:
Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Order Polynomial Approximation of X-ray Transmittance. IEEE Trans. Medical Imaging 36(2): 560-573 (2017) - [j2]Okkyun Lee, Steffen Kappler, Christoph Polster, Katsuyuki Taguchi:
Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Rank Approximation-Based X-Ray Transmittance Modeling: K-Edge Imaging Application. IEEE Trans. Medical Imaging 36(11): 2389-2403 (2017) - 2016
- [j1]Thomas Weidinger, Thorsten M. Buzug, Thomas Flohr, Steffen Kappler, Karl Stierstorfer:
Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography. Int. J. Biomed. Imaging 2016: 5871604:1-5871604:15 (2016)
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last updated on 2025-04-03 01:20 CEST by the dblp team
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