Heinrich Schulz

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 16

Top Topics

Differentially Private

Data Generation

Probabilistic Atlas

Top Venues

Medical Imaging: Image Processing

Int. J. Comput. Assist. Radiol. Surg.

Publications

Francesca Boccardi, Axel Saalbach, Heinrich Schulz, Samuele Salti, Ilyas Sirazitdinov
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. CoRR (2023)
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
Tubular shape aware data generation for segmentation in medical imaging. Int. J. Comput. Assist. Radiol. Surg. 17 (6) (2022)
Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data. CoRR (2022)
Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) (2022)
Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. Sensors 22 (14) (2022)
Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access 9 (2021)
Matthias Lenga, Heinrich Schulz, Axel Saalbach
Continual Learning for Domain Adaptation in Chest X-ray Classification. CoRR (2020)
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
Anomaly Detection with Deep Perceptual Autoencoders. CoRR (2020)
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR (2020)
Matthias Lenga, Heinrich Schulz, Axel Saalbach
Continual Learning for Domain Adaptation in Chest X-ray Classification. MIDL (2020)
Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov
Synthetic CT Generation from MRI Using Improved DualGAN. CoRR (2019)
Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov
Unpaired Synthetic Image Generation in Radiology Using GANs. AIRT@MICCAI (2019)
Joël Valentin Stadelmann, Heinrich Schulz, Uulke A. van der Heide, Steffen Renisch
Pseudo-CT image generation from mDixon MRI images using fully convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch
Nearest neighbor 3D segmentation with context features. Medical Imaging: Image Processing (2018)
Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov
Precise anatomy localization in CT data by an improved probabilistic tissue type atlas. Medical Imaging: Image Processing (2016)
Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Lisa Kausch, Jan Modersitzki, Rafael Wiemker, Daniel Bystrov
Annotation-free probabilistic atlas learning for robust anatomy detection in CT images. Medical Imaging: Image Processing (2015)
Thomas Blaffert, Steffen Renisch, Nicole Schadewaldt, Heinrich Schulz, Rafael Wiemker
Bladder segmentation in MR images with watershed segmentation and graph cut algorithm. Medical Imaging: Image Processing (2014)
Torbjørn Vik, Daniel Bystrov, Nicole Schadewaldt, Heinrich Schulz, Jochen Peters
A new method for robust organ positioning in CT images. ISBI (2012)
Daniel Bystrov, Torbjørn Vik, Heinrich Schulz, Tobias Klinder, Stefan Schmidt
Local motion analysis in 4D lung CT using fast groupwise registration. ICIP (2009)
Claudia Leavens, Torbjørn Vik, Heinrich Schulz, Stéphane Allaire, John J. Kim, Laura Dawson, Brian O'Sullivan, Stephen L. Breen, David A. Jaffray, Vladimir Pekar
Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region. Medical Imaging: Image Processing (2008)
Heinrich Schulz, Kirsten Meetz, Clemens Bos, Daniel Bystrov, Thomas Netsch
Real-Time Interactive Viewing of 4D Kinematic MR Joint Studies. MICCAI (2005)
Daniel Bystrov, Vladimir Pekar, Kirsten Meetz, Heinrich Schulz, Thomas Netsch
Motion Compensation and Plane Tracking for Kinematic MR-Imaging. CVBIA (2005)
Jens von Berg, Jochen Kruecker, Heinrich Schulz, Kirsten Meetz, Jörg Sabczynski
A hybrid method for registration of interventional CT and ultrasound images. CARS (2004)