2023

Weninger, Leon Dominic
Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients

2023

Naunheim, Stephan, Kuhl, Yannick, Schug, David, Schulz, Volkmar and Mueller, Florian
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, 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, 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, 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: The Artificial Vision Symposium – 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, 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)

2023

F. Khader, J. N. Kather, T. Han, S. Nebelung, C. Kuhl, J. Stegmaier, 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, 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, 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, J. Stegmaier
Weakly-Supervised Temporal Segmentation of Cell-Cycle Stages with Center-Cell Focus using Recurrent Neural Networks
In: BVM Workshop

2023

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

2023

Rauland, Amelie, Merhof, Dorit
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, 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

Horst, Nicolas, Das, Priyanka and Wien, Mathias
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: International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

2023

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