Volkmar Schulz

According to our database, Volkmar Schulz authored at least 22 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework.

Ankit Amrutkar, Björn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, Dorit Merhof

CoRR, May, 2025

Single-Sided Magnetic Particle Imaging Device With Offset Field Based Spatial Encoding.

Qibin Wang, Zhonghao Zhang, Lei Li, Franziska Schrank, Yu Zeng, Pengyue Guo, Harald Radermacher, Volkmar Schulz, Shouping Zhu

IEEE Trans. Medical Imaging, April, 2025

Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections.

Stephan Naunheim, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Stefan Gundacker, Florian Mueller, Volkmar Schulz

CoRR, February, 2025

Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning - A Residual Physics Approach.

Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Evaluation of a Mouse-Sized Radial Gradiometer Receive Coil for Magnetic Particle Imaging.

Franziska Schrank, Harald Radermacher, Jochen Franke, Sébastien Breham, Fabian Kiessling, Volkmar Schulz

IEEE Trans. Instrum. Meas., 2025

2024

Overcoming data scarcity in biomedical imaging with a foundational multi-task model.

Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling

Nat. Comput. Sci., July, 2024

2022

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation.

Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Sven Nebelung, Daniel Truhn

Nat. Mac. Intell., November, 2022

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474.

Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather

Medical Image Anal., 2022

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather

Medical Image Anal., 2022

2021

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning.

Tianyu Han, Jakob Nikolas Kather, Federico Pedersoli, Markus Zimmermann, Sebastian Keil, Maximilian Schulze-Hagen, Marc Terwoelbeck, Peter Isfort, Christoph Haarburger, Fabian Kiessling, Volkmar Schulz, Christiane Kuhl, Sven Nebelung, Daniel Truhn

CoRR, 2021

Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology.

Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Hybrid MPI-MRI System for Dual-Modal In Situ Cardiovascular Assessments of Real-Time 3D Blood Flow Quantification - A Pre-Clinical In Vivo Feasibility Investigation.

Jochen Franke, Nicoleta Baxan, Heinrich Lehr, Ulrich Heinen, Sebastian Reinartz, Jörg Schnorr, Michael Heidenreich, Fabian Kiessling, Volkmar Schulz

IEEE Trans. Medical Imaging, 2020

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.

Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn

CoRR, 2020

2018

Joint Reconstruction of Tracer Distribution and Background in Magnetic Particle Imaging.

Marcel Straub, Volkmar Schulz

IEEE Trans. Medical Imaging, 2018

2016

System Characterization of a Highly Integrated Preclinical Hybrid MPI-MRI Scanner.

Jochen Franke, Ulrich Heinen, Heinrich Lehr, Alexander Weber, Frederic Jaspard, Wolfgang Ruhm, Michael Heidenreich, Volkmar Schulz

IEEE Trans. Medical Imaging, 2016

Software-Based Real-Time Acquisition and Processing of PET Detector Raw Data.

Benjamin Goldschmidt, David Schug, Christoph W. Lerche, André Salomon, Pierre Gebhardt, Bjoern Weissler, Jakob Wehner, Peter M. Dueppenbecker, Fabian Kiessling, Volkmar Schulz

IEEE Trans. Biomed. Eng., 2016

2015

A Digital Preclinical PET/MRI Insert and Initial Results.

Bjoern Weissler, Pierre Gebhardt, Peter M. Dueppenbecker, Jakob Wehner, David Schug, Christoph W. Lerche, Benjamin Goldschmidt, André Salomon, Iris Verel, Edwin Heijman, Michael Perkuhn, Dirk Heberling, René M. Botnar, Fabian Kiessling, Volkmar Schulz

IEEE Trans. Medical Imaging, 2015

2012

A Self-Normalization Reconstruction Technique for PET Scans Using the Positron Emission Data.

André Salomon, Benjamin Goldschmidt, René M. Botnar, Fabian Kiessling, Volkmar Schulz

IEEE Trans. Medical Imaging, 2012

2011

Simultaneous Reconstruction of Activity and Attenuation for PET/MR.

André Salomon, Andreas Goedicke, Bernd Schweizer, Til Aach, Volkmar Schulz

IEEE Trans. Medical Imaging, 2011

2005

A safe transmission line for MRI.

Peter Vernickel, Volkmar Schulz, Steffen Weiss, Bernhard Gleich

IEEE Trans. Biomed. Eng., 2005

IMIS - A reference model for future early warning systems?

Volkmar Schulz, Jo van Nouhuys, Hermann Leeb

Proceedings of the Networking Environmental Information: Proceedings of the 19th International Conference for Environmental Protection, 2005

2004

IMIS - Flexible and reliable data processing using automated task management.

Volkmar Schulz, Jo van Nouhuys

Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004