A hybrid method for registration of interventional CT and ultrasound images. - Jens von Berg; Jochen Kruecker; Heinrich Schulz; Kirsten Meetz; Jörg Sabczynski (CARS, 2004)

Motion Compensation and Plane Tracking for Kinematic MR-Imaging. - Daniel Bystrov; Vladimir Pekar; Kirsten Meetz; Heinrich Schulz; Thomas Netsch (CVBIA, 2005)

Real-Time Interactive Viewing of 4D Kinematic MR Joint Studies. - Heinrich Schulz; Kirsten Meetz; Clemens Bos; Daniel Bystrov; Thomas Netsch (MICCAI, 2005)

Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region. - Claudia Leavens; Torbjørn Vik; Heinrich Schulz; Stéphane Allaire; John J. Kim; Laura Dawson; Brian O'Sullivan; Stephen L. Breen; David A. Jaffray; Vladimir Pekar (Image Processing, 2008)

Local motion analysis in 4D lung CT using fast groupwise registration. - Daniel Bystrov; Torbjørn Vik; Heinrich Schulz; Tobias Klinder; Stefan Schmidt 001 (ICIP, 2009)

A new method for robust organ positioning in CT images. - Torbjørn Vik; Daniel Bystrov; Nicole Schadewaldt; Heinrich Schulz; Jochen Peters (ISBI, 2012)

Bladder segmentation in MR images with watershed segmentation and graph cut algorithm. - Thomas Blaffert; Steffen Renisch; Nicole Schadewaldt; Heinrich Schulz; Rafael Wiemker (Image Processing, 2014)

Annotation-free probabilistic atlas learning for robust anatomy detection in CT images. - Astrid Franz; Nicole Schadewaldt; Heinrich Schulz; Torbjørn Vik; Lisa Kausch; Jan Modersitzki; Rafael Wiemker; Daniel Bystrov (Image Processing, 2015)

Precise anatomy localization in CT data by an improved probabilistic tissue type atlas. - Astrid Franz; Nicole Schadewaldt; Heinrich Schulz; Torbjørn Vik; Martin Bergtholdt; Daniel Bystrov (Image Processing, 2016)

Nearest neighbor 3D segmentation with context features. - Evelin Hristova; Heinrich Schulz; Tom Brosch; Mattias P. Heinrich; Hannes Nickisch (Image Processing, 2018)

Pseudo-CT image generation from mDixon MRI images using fully convolutional neural networks. - Joël Valentin Stadelmann; Heinrich Schulz; Uulke A. van der Heide; Steffen Renisch (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Unpaired Synthetic Image Generation in Radiology Using GANs. - Denis Prokopenko; Joël Valentin Stadelmann; Heinrich Schulz; Steffen Renisch; Dmitry V. Dylov (AIRT@MICCAI, 2019)

Synthetic CT Generation from MRI Using Improved DualGAN. - Denis Prokopenko; Joël Valentin Stadelmann; Heinrich Schulz; Steffen Renisch; Dmitry V. Dylov (CoRR, 2019)

Continual Learning for Domain Adaptation in Chest X-ray Classification. - Matthias Lenga; Heinrich Schulz; Axel Saalbach (MIDL, 2020)

Anomaly Detection with Deep Perceptual Autoencoders. - Nina Tuluptceva; Bart Bakker; Irina Fedulova; Heinrich Schulz; Dmitry V. Dylov (CoRR, 2020)

Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. - Ilyas Sirazitdinov; Heinrich Schulz; Axel Saalbach; Steffen Renisch; Dmitry V. Dylov (CoRR, 2020)

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. - Nina Shvetsova; Bart Bakker; Irina Fedulova; Heinrich Schulz; Dmitry V. Dylov (IEEE Access, 2021)

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. - Ilyas Sirazitdinov; Axel Saalbach; Heinrich Schulz; Dmitry V. Dylov (MICCAI (4), 2022)

Tubular shape aware data generation for segmentation in medical imaging. - Ilyas Sirazitdinov; Heinrich Schulz; Axel Saalbach; Steffen Renisch; Dmitry V. Dylov (Int. J. Comput. Assist. Radiol. Surg., 2022)

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. - Joceline Ziegler; Bjarne Pfitzner; Heinrich Schulz; Axel Saalbach; Bert Arnrich (Sensors, 2022)

Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. - Francesca Boccardi; Axel Saalbach; Heinrich Schulz; Samuele Salti; Ilyas Sirazitdinov (CoRR, 2023)