Steffen Kappler

According to our database, Steffen Kappler authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter.

Dominik Eckert, Ludwig Ritschl, Christopher Syben, Christian Hümmer, Julia Wicklein, Marcel Beister, Steffen Kappler, Sebastian Stober

CoRR, 2024

StyleX: A Trainable Metric for X-ray Style Distances.

Dominik Eckert, Christopher Syben, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Sebastian Stober

CoRR, 2024

Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation.

Christian Hümmer, Ramyar Biniazan, Manasi Datar, Martin Kraus, Andreas Fieselmann, Steffen Kappler

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Abstract: Metal-conscious Embedding for CBCT Projection Inpainting.

Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Realistic Collimated X-ray Image Simulation Pipeline.

Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Guidance to Noise Simulation in X-ray Imaging.

Dominik Eckert, Magdalena Herbst, Julia Wicklein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

A Realistic Collimated X-Ray Image Simulation Pipeline.

Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

Metal-conscious Embedding for CBCT Projection Inpainting.

Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Cross-modality Training Approach for CT Super-resolution Network.

Wai Yan Ryana Fok, Andreas Fieselmann, Magdalena Herbst, Ludwig Ritschl, Marcel Beister, Steffen Kappler, Sylvia Saalfeld

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Simulation-Driven Training of Vision Transformers Enabling Metal Segmentation in X-Ray Images.

Fuxin Fan, Ludwig Ritschl, Marcel Beister, Ramyar Biniazan, Björn W. Kreher, Tristan M. Gottschalk, Steffen Kappler, Andreas K. Maier

CoRR, 2022

Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes.

Richin Sukesh, Andreas Fieselmann, Srikrishna Jaganathan, Karthik Shetty, Rainer Kärgel, Florian Kordon, Steffen Kappler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2020

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.

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

CoRR, 2020

Combining 2-D and 3-D Weight-Bearing X-Ray Images.

Christoph Luckner, Magdalena Herbst, Michael Fuhrmann, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation.

Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability.

Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier

Proceedings of the Medical Imaging 2019: Image Perception, 2019

2018

Corrigendum to "Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography".

Thomas Weidinger, Thorsten M. Buzug, Thomas Flohr, Steffen Kappler, Karl Stierstorfer

Int. J. Biomed. Imaging, 2018

2017

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.

Okkyun Lee, Steffen Kappler, Christoph Polster, Katsuyuki Taguchi

IEEE Trans. Medical Imaging, 2017

Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Order Polynomial Approximation of X-ray Transmittance.

Okkyun Lee, Steffen Kappler, Christoph Polster, Katsuyuki Taguchi

IEEE Trans. Medical Imaging, 2017

2016

Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography.

Thomas Weidinger, Thorsten M. Buzug, Thomas Flohr, Steffen Kappler, Karl Stierstorfer

Int. J. Biomed. Imaging, 2016