Publications

2023

Books and book chapters

2023dissertation
Leon Dominic Weninger
Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients
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Journal publications

2023article
Yannick Kuhl, Stephan Naunheim, David Schug, Volkmar Schulz and Florian Mueller
Angular Irradiation Methods for DOI Calibration of Light-Sharing Detectors—A Perspective for PET In-System Calibration
In: IEEE Transactions on Radiation and Plasma Medical Sciences
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2023
2023article
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci and Dorit Merhof
Self-supervised Semantic Segmentation: Consistency over Transformation
In: arXiv preprint arXiv:2309.00143
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2023
2023article
Sanaz Karimijafarbigloo, Reza Azad and Dorit Merhof
Self-supervised few-shot learning for semantic segmentation: An annotation-free approach
In: arXiv preprint arXiv:2307.14446
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2023
2023article
Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci and Dorit Merhof
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
In: arXiv preprint arXiv:2311.13069
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2023
2023article
Konstantin Weindel, Vanessa Nadig, Katrin Herweg, Volkmar Schulz and Stefan Gundacker
A time-based double-sided readout concept of 100 mm LYSO:Ce,Ca fibres for future axial TOF-PET
In: EJNMMI Physics 10 (1), Springer International Publishing
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2023
2023article
Vanessa Nadig, Katrin Herweg, Mitch M C Chou, Jack W C Lin, Edmund Chin, Chu-an Li, Volkmar Schulz and Stefan Gundacker
Timing advances of commercial divalent-ion co- doped LYSO:Ce and SiPMs in sub-100 ps time-of-flight positron emission tomography
In: Physics in Medicine & Biology 68, IOP Publishing
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2023
2023article
Katrin Herweg, Vanessa Nadig, Volkmar Schulz and Stefan Gundacker
On the Prospects of BaF2 as a Fast Scintillator for Time-of-Flight Positron Emission Tomography Systems
In: IEEE Transactions on Radiation and Plasma Medical Sciences 7 (3), S. 241--252, IEEE
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2023
2023article
Vanessa Nadig, Matthias Hornisch, Jakob Oehm, Katrin Herweg, Volkmar Schulz and Stefan Gundacker
16-channel SiPM high-frequency readout with time-over-threshold discrimination for ultrafast time-of-flight applications
In: EJNMMI Physics 10 (1), Springer International Publishing
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2023article
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz and Florian Mueller
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics Approach
In: IEEE Transactions on Neural Networks and Learning Systems
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2023article
F. Khader, G. Müller-Franzes, S. Tayebi Arasteh, T. Han, C. Haarburger, M. Schulze-Hagen, P. Schad, S. Engelhardt, B. Baeßler, S. Foersch, J. Stegmaier, C. Kuhl, S. Nebelung, J. N. Kather and D. Truhn
Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
In: Scientific Reports 13 (1), S. 7303, Nature Publishing Group UK London
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2023article
F. Khader, J. N. Kather, G. Müller-Franzes, T. Wang, T. Han, S. Tayebi Arasteh, K. Hamesch, K. Bressem, C. Haarburger, J. Stegmaier, C. Kuhl, S. Nebelung and D. Truhn
Medical Transformer for Multimodal Survival Prediction in Intensive Care: Integration of Imaging and Non-Imaging Data
In: Scientific Reports 13 (1), S. 10666, Nature Publishing Group UK London
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2023article
A. Dievernich, J. Stegmaier, P. Achenbach, S. Warkentin, T. Braunschweig, U. P. Neumann and U. Klinge
A Deep-Learning-Computed Cancer Score for the Identification of Human Hepatocellular Carcinoma Area Based on a Six-Colour Multiplex Immunofluorescence Panel
In: Cells 12 (7), S. 1074, MDPI
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2023article
Sammy Hermans, Jacob Pilon, Dennis Eschweiler, Johannes Stegmaier, Carmen AH Severens-Rijvers, Salwan Al-Nasiry, Marc van Zandvoort and Dimitrios Kapsokalyvas
Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
In: International Journal of Molecular Sciences 24 (4), S. 3240
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Conference publications

2023inproceedings
Tim Classen and Mathias Wien
Weighted Edge Sharpening Filtering for Upscaled Content in Adaptive Resolution Coding
In: 2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), S. 1--5
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2023inproceedings
Tim Claßen and Mathias Wien
Weighted Edge Sharpening Filtering for Upscaled Content in Adaptive Resolution Coding
In: 2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), S. 1-5
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2023
2023inproceedings
V. Schulz F. Schrank
Deep transfer learning for faster reconstruction in 2D magnetic particle imaging
In: Biomedical Engineering / Biomedizinische Technik 68 (s1), S. 170
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2023
2023inproceedings
Pauline Kreft, Franziska Schrank, Dennis Pantke and Volkmar Schulz
Sample preparations for reproducible measurements in MPS and MPI
In: IJMPI 9 (1 Suppl 1)
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2023
2023inproceedings
Sebastian Solibida, Dennis Pantke-Stratmann, Franziska Schrank and Volkmar Schulz
A refined debye model for the dynamic magnetization response of superparamagnetic nanoparticles
In: IJMPI 9 (1 Suppl 1)
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2023
2023inproceedings
Harald Radermacher, Franziska Schrank, Dennis Pantke, Florian Mueller, Maximilian Peters and Volkmar Schulz
Highly flexible gradiometer coil arrangement offering improved passive compensation for multi-frequency MPI
In: IJMPI 9 (1 Suppl 1)
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2023
2023inproceedings
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni and Dorit Merhof
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
In: Medical Imaging with Deep Learning
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2023
2023inproceedings
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi and Dorit Merhof
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
In: Medical Imaging with Deep Learning
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2023
2023inproceedings
Matthias Bovelett, Yannick Kuhl, Stephan Naunheim, David Schug, Volkmar Schulz and Florian Mueller
Implementation and Evaluation of a 3D-dependend Energy-calibration algorithm
In: IEEE NSS MIC 2023
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2023inproceedings
Julian Thull, Martina Crysandt, Barbara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Volkmar Schulz, Dorit Merhof and Edgar Jost
Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis
In: Blood 142 (Supplement 1), S. 5036
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2023
2023inproceedings
S. Gundacker, C. Bruschini, A. Gola, K. Herweg, S. Merzi, A. Muntean, V. Nadig, L. Parellada-Monreal, G. Paternoster, M. Penna, M. Ruzzarin, E. Charbon and V. Schulz
DIGILOG: A digital-analog SiPM towards 10 ps prompt-photon tagging in TOF-PET
In: 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), S. 1--1, IEEE
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2023
2023inproceedings
K Herweg, D J Rutstrom, V Nadig, L Stand, C L Melcher, M Zhuravleva, V Schulz and S Gundacker
Timing limits of ultrafast cross- luminescence emission in CsZnCl-based crystals for TOF-PET , HEP and TOF-CT
In: 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)
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2023
2023inproceedings
Volkmar Schulz Franziska Schrank
Multi-purpose deep learning framework for MPI based on contrastive learning
In: IJMPI 9 (1 Suppl 1)
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2023inproceedings
F. Khader, J. N. Kather, T. Han, S. Nebelung, C. Kuhl, J. Stegmaier and D. Truhn
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
In: Machine Learning in Medical Imaging Workshop at MICCAI 2023 (accepted paper)
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2023inproceedings
F. Khader, G. Müller-Franzes, S. T. Arasteh, T. Han, J. N. Kather, J. Stegmaier, S. Nebelung and D. Truhn
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection
In: IEEE 20th International Symposium on Biomedical Imaging (ISBI), S. 1--5
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2023inproceedings
F. Khader, J. Stegmaier, S. Nebelung and D. Truhn
Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers
In: IEEE 20th International Symposium on Biomedical Imaging (ISBI), S. 1--4
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2023inproceedings
A. Jose, R. Roy and J. Stegmaier
Weakly-Supervised Temporal Segmentation of Cell-Cycle Stages with Center-Cell Focus using Recurrent Neural Networks
In: BVM Workshop, S. 212--219
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2023inproceedings
Mathias Wien and Vittorio Baroncini
Improving Viewer Training in Visual Assessment
In: European Workshop on Visual Information Processing (EUVIP) 2023, IEEE, Piscataway
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2023inproceedings
Amelie Rauland and Dorit Merhof
Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data
In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), S. 1--5
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2023inproceedings
Zhu Chen, Ina Laube and Johannes Stegmaier
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), S. (accepted)
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2023inproceedings
Long Chen, Yuli Wu, Johannes Stegmaier and Dorit Merhof
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation
In: ICCV Workshop on BioImage Computing
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2023inproceedings
Yuli Wu, Laura Koch, Peter Walter and Dorit Merhof
Convolutional Neural Network-based Inverse Encoder for Optimization of Retinal Prosthetic Stimulation
In: Artificial Vision – The International Symposium on Visual Prosthetics 68 (S1), S. 235
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2023inproceedings
Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andres and Johannes Stegmaier
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), S. 1--5
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2023
2023inproceedings
Nicolas Horst, Priyanka Das and Mathias Wien
A Template Matching Approach for Reference Picture Padding in Video Coding
In: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), S. 1-5
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2023inproceedings
Yuli Wu, Ivan Karetic, Johannes Stegmaier, Peter Walter and Dorit Merhof
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
In: 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE
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2023inproceedings
Philipp Seltsam, Priyanka Das and Mathias Wien
Adaptive and Scalable Compression of Multispectral Images using VVC
In: Data Compression Conference (DCC)
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