Heinrich Schulz

23 papers A 1B 6Journal 9Unranked 7

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