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

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

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

Reza Azad, Moein Heidary, Kadir Ylmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink and Dorit Merhof
Loss functions in the era of semantic segmentation: A survey and outlook
In: arXiv preprint arXiv:2312.05391

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)

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

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)

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)

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

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)

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)

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)

Yuli Wu, Laura Koch, Peter Walter and Dorit Merhof
Abstract: Convolutional Neural Network-based Inverse Encoder for Optimization of Retinal Prosthetic Stimulation
In: Artificial Vision – The International Symposium on Visual Prosthetics

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)

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)

V. Schulz F. Schrank
Deep transfer learning for faster reconstruction in 2D magnetic particle imaging
In: Biomedical Engineering / Biomedizinische Technik 68 (s1)

Pauline Kreft, Franziska Schrank, Dennis Pantke and Volkmar Schulz
Sample preparations for reproducible measurements in MPS and MPI
In: IJMPI 9 (1 Suppl 1)

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)

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)

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

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

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

Martina Crysandt Julian Thull
Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis
In: Blood 142 (Supplement 1)

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)

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)

Volkmar Schulz Franziska Schrank
Multi-purpose deep learning framework for MPI based on contrastive learning
In: IJMPI 9 (1 Suppl 1)

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)

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)

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)

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

Mathias Wien and Vittorio Baroncini
Improving Viewer Training in Visual Assessment
In: European Workshop on Visual Information Processing (EUVIP) 2023

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)

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)

Long Chen, Yuli Wu, Johannes Stegmaier and Dorit Merhof
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation
In: ICCV Workshop on BioImage Computing

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)

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)

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)

Priyanka Das Philipp Seltsam and Mathias Wien
Adaptive and Scalable Compression of Multispectral Images using VVC
In: Data Compression Conference