Volkmar Schulz

27 papers Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging.
LISA@MICCAI
Kostiantyn Lavronenko, Rüveyda Yilmaz, Zhu Chen, Johannes Stegmaier, Volkmar Schulz
2025 J jnl
Diffusion-based Sinogram Interpolation for Limited Angle PET.
CoRR
Rüveyda Yilmaz, Julian Thull, Johannes Stegmaier, Volkmar Schulz
2025 J jnl
Evaluation of a Mouse-Sized Radial Gradiometer Receive Coil for Magnetic Particle Imaging.
IEEE Trans. Instrum. Meas.
Franziska Schrank, Harald Radermacher, Jochen Franke, Sébastien Breham, Fabian Kiessling, Volkmar Schulz
2025 — conf
HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography.
MICCAI (11)
Ankit Amrutkar, Ahmet Nazlioglu, Björn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, Dorit Merhof
2025 J jnl
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning - A Residual Physics Approach.
IEEE Trans. Neural Networks Learn. Syst.
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller
2025 J jnl
Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections.
CoRR
Stephan Naunheim, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Stefan Gundacker, Florian Mueller, Volkmar Schulz
2025 J jnl
Single-Sided Magnetic Particle Imaging Device With Offset Field Based Spatial Encoding.
IEEE Trans. Medical Imaging
Qibin Wang, Zhonghao Zhang, Lei Li, Franziska Schrank, Yu Zeng, Pengyue Guo, Harald Radermacher, Volkmar Schulz, Shouping Zhu
2025 J jnl
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework.
CoRR
Ankit Amrutkar, Björn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, Dorit Merhof
2024 J jnl
Overcoming data scarcity in biomedical imaging with a foundational multi-task model.
Nat. Comput. Sci.
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling
2023 J jnl
Improving the Timing Resolution of Positron Emission Tomography Detectors using Boosted Learning - A Residual Physics Approach.
CoRR
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller
2023 J jnl
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model.
CoRR
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling
2022 J jnl
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
Medical Image Anal.
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
2022 J jnl
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474.
Medical Image Anal.
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
2022 J jnl
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation.
Nat. Mac. Intell.
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
2021 — conf
Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology.
COMPAY@MICCAI
Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather
2021 J jnl
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning.
CoRR
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
2020 J jnl
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.
CoRR
Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn
2020 J jnl
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.
IEEE Trans. Medical Imaging
Jochen Franke, Nicoleta Baxan, Heinrich Lehr, Ulrich Heinen, Sebastian Reinartz, Jörg Schnorr, Michael Heidenreich, Fabian Kiessling, Volkmar Schulz
2018 J jnl
Joint Reconstruction of Tracer Distribution and Background in Magnetic Particle Imaging.
IEEE Trans. Medical Imaging
Marcel Straub, Volkmar Schulz
2016 J jnl
Software-Based Real-Time Acquisition and Processing of PET Detector Raw Data.
IEEE Trans. Biomed. Eng.
Benjamin Goldschmidt, David Schug, Christoph W. Lerche, André Salomon, Pierre Gebhardt, Bjoern Weissler, Jakob Wehner, Peter M. Dueppenbecker, Fabian Kiessling, Volkmar Schulz
2016 J jnl
System Characterization of a Highly Integrated Preclinical Hybrid MPI-MRI Scanner.
IEEE Trans. Medical Imaging
Jochen Franke, Ulrich Heinen, Heinrich Lehr, Alexander Weber, Frederic Jaspard, Wolfgang Ruhm, Michael Heidenreich, Volkmar Schulz
2015 J jnl
A Digital Preclinical PET/MRI Insert and Initial Results.
IEEE Trans. Medical Imaging
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
2012 J jnl
A Self-Normalization Reconstruction Technique for PET Scans Using the Positron Emission Data.
IEEE Trans. Medical Imaging
André Salomon, Benjamin Goldschmidt, René M. Botnar, Fabian Kiessling, Volkmar Schulz
2011 J jnl
Simultaneous Reconstruction of Activity and Attenuation for PET/MR.
IEEE Trans. Medical Imaging
André Salomon, Andreas Goedicke, Bernd Schweizer, Til Aach, Volkmar Schulz
2005 J jnl
A safe transmission line for MRI.
IEEE Trans. Biomed. Eng.
Peter Vernickel, Volkmar Schulz, Steffen Weiss, Bernhard Gleich
2005 — conf
IMIS - A reference model for future early warning systems?
EnviroInfo
Volkmar Schulz, Jo van Nouhuys, Hermann Leeb
2004 — conf
IMIS - Flexible and reliable data processing using automated task management.
EnviroInfo (1)
Volkmar Schulz, Jo van Nouhuys