1 citations · 1 across the 6 of their papers we have counts for
6 papers
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
Rüveyda Yilmaz, Kaan Keven, Yuli Wu +1
Automated cell segmentation in microscopy images is essential for biomedical research, yet conventional methods are labor-intensive and prone to error. While deep learning-based ap…
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier
The segmentation and tracking of living cells play a vital role within the biomedical domain, particularly in cancer research, drug development, and developmental biology. These ar…
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
Raphael van Kempen, Tim Rehbronn, Abin Jose +4
Automated vehicles require an accurate perception of their surroundings for safe and efficient driving. Lidar-based object detection is a widely used method for environment percept…
SortedAP: Rethinking evaluation metrics for instance segmentation
Long Chen, Yuli Wu, Johannes Stegmaier +1
Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy. However, other important properties,…
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs
Firas Khader, Gustav Müller-Franzes, Tianyu Han +4
Computed Tomography (CT) scans provide detailed and accurate information of internal structures in the body. They are constructed by sending x-rays through the body from different…
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
Firas Khader, Jakob Nikolas Kather, Tianyu Han +4
Whole-Slide Imaging allows for the capturing and digitization of high-resolution images of histological specimen. An automated analysis of such images using deep learning models is…