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
2023
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
2023
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
2023
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)
2023
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
2023
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)
2023
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)
2023
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
2023
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)
2023
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)
2023
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)
2023
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
2023
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)
Konferenz-Veröffentlichungen
2023
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)
2023
V. Schulz F. Schrank Deep transfer learning for faster reconstruction in 2D magnetic particle imaging In: Biomedical Engineering / Biomedizinische Technik 68 (s1)
2023
Pauline Kreft, Franziska Schrank, Dennis Pantke and Volkmar Schulz Sample preparations for reproducible measurements in MPS and MPI In: IJMPI 9 (1 Suppl 1)
2023
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)
2023
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)
2023
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
2023
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
2023
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
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)
2023
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)
2023
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)
2023
Volkmar Schulz Franziska Schrank Multi-purpose deep learning framework for MPI based on contrastive learning In: IJMPI 9 (1 Suppl 1)
2023
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)
2023
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)
2023
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)
2023
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
2023
Mathias Wien and Vittorio Baroncini Improving Viewer Training in Visual Assessment In: European Workshop on Visual Information Processing (EUVIP) 2023
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)
2023
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)
2023
Long Chen, Yuli Wu, Johannes Stegmaier and Dorit Merhof SortedAP: Rethinking Evaluation Metrics for Instance Segmentation In: ICCV Workshop on BioImage Computing
2023
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)
2023
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)
2023
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)
2023
Priyanka Das Philipp Seltsam and Mathias Wien Adaptive and Scalable Compression of Multispectral Images using VVC In: Data Compression Conference
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