Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography. - Thomas Weidinger; Thorsten M. Buzug; Thomas Flohr 001; Steffen Kappler; Karl Stierstorfer (Int. J. Biomed. Imaging, 2016)

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)

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)

Corrigendum to "Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography". - Thomas Weidinger; Thorsten M. Buzug; Thomas Flohr 001; Steffen Kappler; Karl Stierstorfer (Int. J. Biomed. Imaging, 2018)

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 (Image Perception, Observer Performance, and Technology Assessment, 2019)

Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation. - Dominik Eckert; Sulaiman Vesal; Ludwig Ritschl; Steffen Kappler; Andreas K. Maier (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 001; Boris Mailhé; Awais Mansoor; Sasa Grbic; Sebastian Piat; Guillaume Chabin; R. S. Vishwanath; Abishek Balachandran; et al. (CoRR, 2020)

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 (Bildverarbeitung für die Medizin, 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)

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 (Bildverarbeitung für die Medizin, 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 001 (ISBI, 2023)

A Realistic Collimated X-Ray Image Simulation Pipeline. - Benjamin El-Zein; Dominik Eckert; Thomas Weber 001; Maximilian Rohleder; Ludwig Ritschl; Steffen Kappler; Andreas K. Maier (DALI@MICCAI, 2023)

Guidance to Noise Simulation in X-ray Imaging. - Dominik Eckert; Magdalena Herbst; Julia Wicklein; Christopher Syben; Ludwig Ritschl; Steffen Kappler; Sebastian Stober (Bildverarbeitung für die Medizin, 2024)

Abstract: Realistic Collimated X-ray Image Simulation Pipeline. - Benjamin El-Zein; Dominik Eckert; Thomas Weber 001; Maximilian Rohleder; Ludwig Ritschl; Steffen Kappler; Andreas K. Maier (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (ISBI, 2024)

StyleX: A Trainable Metric for X-ray Style Distances. - Dominik Eckert; Christopher Syben; Christian Hümmer; Ludwig Ritschl; Steffen Kappler; Sebastian Stober (CoRR, 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 (ISBI, 2025)