84 citations · 224 across the 24 of their papers we have counts for
42 papers · 1 filter
CHOTA: A Higher Order Accuracy Metric for Cell Tracking
Timo Kaiser, Vladimir Ulman, Bodo Rosenhahn
The evaluation of cell tracking results steers the development of tracking methods, significantly impacting biomedical research. This is quantitatively achieved by means of evaluat…
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric Uncertainty
Timo Kaiser, Maximilian Schier, Bodo Rosenhahn
Cell tracking and segmentation assist biologists in extracting insights from large-scale microscopy time-lapse data. Driven by local accuracy metrics, current tracking approaches o…
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn
Sparse neural networks are a key factor in developing resource-efficient machine learning applications. We propose the novel and powerful sparse learning method Adaptive Regularize…
Markerless human pose estimation for biomedical applications: a survey
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn +1
Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application. HPE is often preferred to traditional marker-ba…
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
Lutz M. K. Krause, Emily Manderfeld, Patricia Gnutt +8
Biofouling is a major challenge for sustainable shipping, filter membranes, heat exchangers, and medical devices. The development of fouling-resistant coatings requires the evaluat…
SSGVS: Semantic Scene Graph-to-Video Synthesis
Yuren Cong, Jinhui Yi, Bodo Rosenhahn +1
As a natural extension of the image synthesis task, video synthesis has attracted a lot of interest recently. Many image synthesis works utilize class labels or text as guidance. H…