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2020 – today
- 2024
[j12]Raphael Schäfer
, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling:
Overcoming data scarcity in biomedical imaging with a foundational multi-task model. Nat. Comput. Sci. 4(7): 495-509 (2024)- 2023
- [i4]Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller:
Improving the Timing Resolution of Positron Emission Tomography Detectors using Boosted Learning - A Residual Physics Approach. CoRR abs/2302.01681 (2023) - [i3]Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling:
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model. CoRR abs/2311.09847 (2023) - 2022
- [j11]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:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - [j10]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:
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. 82: 102622 (2022) - [j9]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:
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. Nat. Mac. Intell. 4(11): 1029-1039 (2022) - 2021
- [c3]Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather:
Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology. COMPAY@MICCAI 2021: 81-93 - [i2]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:
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. CoRR abs/2111.11439 (2021) - 2020
- [j8]Jochen Franke, Nicoleta Baxan, Heinrich Lehr, Ulrich Heinen, Sebastian Reinartz, Jörg Schnorr, Michael Heidenreich, Fabian Kiessling, Volkmar Schulz:
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 39(12): 4335-4345 (2020) - [i1]Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn:
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. CoRR abs/2011.13011 (2020)
2010 – 2019
- 2018
- [j7]Marcel Straub, Volkmar Schulz:
Joint Reconstruction of Tracer Distribution and Background in Magnetic Particle Imaging. IEEE Trans. Medical Imaging 37(5): 1192-1203 (2018) - 2016
- [j6]Benjamin Goldschmidt, David Schug, Christoph W. Lerche, André Salomon, Pierre Gebhardt, Bjoern Weissler, Jakob Wehner, Peter M. Dueppenbecker, Fabian Kiessling, Volkmar Schulz:
Software-Based Real-Time Acquisition and Processing of PET Detector Raw Data. IEEE Trans. Biomed. Eng. 63(2): 316-327 (2016) - [j5]Jochen Franke, Ulrich Heinen, Heinrich Lehr, Alexander Weber, Frederic Jaspard, Wolfgang Ruhm, Michael Heidenreich, Volkmar Schulz:
System Characterization of a Highly Integrated Preclinical Hybrid MPI-MRI Scanner. IEEE Trans. Medical Imaging 35(9): 1993-2004 (2016) - 2015
- [j4]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:
A Digital Preclinical PET/MRI Insert and Initial Results. IEEE Trans. Medical Imaging 34(11): 2258-2270 (2015) - 2012
- [j3]André Salomon, Benjamin Goldschmidt, René M. Botnar, Fabian Kiessling, Volkmar Schulz:
A Self-Normalization Reconstruction Technique for PET Scans Using the Positron Emission Data. IEEE Trans. Medical Imaging 31(12): 2234-2240 (2012) - 2011
- [j2]André Salomon, Andreas Goedicke, Bernd Schweizer, Til Aach, Volkmar Schulz:
Simultaneous Reconstruction of Activity and Attenuation for PET/MR. IEEE Trans. Medical Imaging 30(3): 804-813 (2011)
2000 – 2009
- 2005
- [j1]Peter Vernickel, Volkmar Schulz, Steffen Weiss, Bernhard Gleich:
A safe transmission line for MRI. IEEE Trans. Biomed. Eng. 52(6): 1094-1102 (2005) - [c2]Volkmar Schulz, Jo van Nouhuys, Hermann Leeb:
IMIS - A reference model for future early warning systems? EnviroInfo 2005: 191-195 - 2004
- [c1]Volkmar Schulz, Jo van Nouhuys:
IMIS - Flexible and reliable data processing using automated task management. EnviroInfo (1) 2004: 266-273
Coauthor Index
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