IMIS - Flexible and reliable data processing using automated task management. - Volkmar Schulz; Jo van Nouhuys (EnviroInfo (1), 2004)

IMIS - A reference model for future early warning systems? - Volkmar Schulz; Jo van Nouhuys; Hermann Leeb (EnviroInfo, 2005)

A safe transmission line for MRI. - Peter Vernickel; Volkmar Schulz; Steffen Weiss 002; Bernhard Gleich (IEEE Trans. Biomed. Eng., 2005)

Simultaneous Reconstruction of Activity and Attenuation for PET/MR. - André Salomon; Andreas Goedicke; Bernd Schweizer; Til Aach; Volkmar Schulz (IEEE Trans. Medical Imaging, 2011)

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)

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; et al. (IEEE Trans. Medical Imaging, 2015)

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)

System Characterization of a Highly Integrated Preclinical Hybrid MPI-MRI Scanner. - Jochen Franke; Ulrich Heinen; Heinrich Lehr; Alexander Weber 008; Frederic Jaspard; Wolfgang Ruhm; Michael Heidenreich; Volkmar Schulz (IEEE Trans. Medical Imaging, 2016)

Joint Reconstruction of Tracer Distribution and Background in Magnetic Particle Imaging. - Marcel Straub; Volkmar Schulz (IEEE Trans. Medical Imaging, 2018)

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)

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)

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 (COMPAY@MICCAI, 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; et al. (CoRR, 2021)

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 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 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 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 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; et al. (Nat. Mac. Intell., 2022)

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 002; Fabian Kiessling (Nat. Comput. Sci., 2024)

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)

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., 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, 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, 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, 2025)