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ORCIDHeinrich Schulz
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2020 – today
- 2023
[i6]Francesca Boccardi, Axel Saalbach, Heinrich Schulz, Samuele Salti, Ilyas Sirazitdinov:
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. CoRR abs/2312.03368 (2023)- 2022
- [j3]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): 1091-1099 (2022) - [j2]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): 5195 (2022) - [c14]Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov:
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) 2022: 693-703 - [i5]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 abs/2205.03168 (2022) - 2021
- [j1]Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access 9: 118571-118583 (2021) - 2020
- [c13]Matthias Lenga, Heinrich Schulz, Axel Saalbach:
Continual Learning for Domain Adaptation in Chest X-ray Classification. MIDL 2020: 413-423 - [i4]Matthias Lenga, Heinrich Schulz, Axel Saalbach:
Continual Learning for Domain Adaptation in Chest X-ray Classification. CoRR abs/2001.05922 (2020) - [i3]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection with Deep Perceptual Autoencoders. CoRR abs/2006.13265 (2020) - [i2]Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov:
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR abs/2010.00907 (2020)
2010 – 2019
- 2019
- [c12]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: 109530Z - [c11]Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov:
Unpaired Synthetic Image Generation in Radiology Using GANs. AIRT@MICCAI 2019: 94-101 - [i1]Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov:
Synthetic CT Generation from MRI Using Improved DualGAN. CoRR abs/1909.08942 (2019) - 2018
- [c10]Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch:
Nearest neighbor 3D segmentation with context features. Medical Imaging: Image Processing 2018: 105740M - 2016
- [c9]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: 978444 - 2015
- [c8]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: 941338 - 2014
- [c7]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: 90344C - 2012
- [c6]Torbjørn Vik, Daniel Bystrov, Nicole Schadewaldt, Heinrich Schulz, Jochen Peters:
A new method for robust organ positioning in CT images. ISBI 2012: 338-341
2000 – 2009
- 2009
- [c5]Daniel Bystrov, Torbjørn Vik, Heinrich Schulz, Tobias Klinder, Stefan Schmidt:
Local motion analysis in 4D lung CT using fast groupwise registration. ICIP 2009: 1749-1752 - 2008
- [c4]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: 69143G - 2005
- [c3]Daniel Bystrov, Vladimir Pekar, Kirsten Meetz, Heinrich Schulz, Thomas Netsch:
Motion Compensation and Plane Tracking for Kinematic MR-Imaging. CVBIA 2005: 551-560 - [c2]Heinrich Schulz, Kirsten Meetz, Clemens Bos, Daniel Bystrov, Thomas Netsch:
Real-Time Interactive Viewing of 4D Kinematic MR Joint Studies. MICCAI 2005: 467-473 - 2004
- [c1]Jens von Berg, Jochen Kruecker, Heinrich Schulz, Kirsten Meetz, Jörg Sabczynski:
A hybrid method for registration of interventional CT and ultrasound images. CARS 2004: 492-497
Coauthor Index
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