1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Center for Systems Biology DresdenDE64 papers
- Max Planck Institute for the Physics of Complex SystemsDE56 papers
- Technische Universität DresdenDE48 papers
- Physics of LifeDE17 papers
- Max Planck SocietyDE14 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Center for Advancing Electronics DresdenDE7 papers
- University of CambridgeGB7 papers
- Biotechnologisches ZentrumDE5 papers
- University of OxfordGB5 papers
- Harvard UniversityUS4 papers
- Howard Hughes Medical InstituteUS4 papers
11 papers · 1 filter
A robustness measure for singular point and index estimation in discretized orientation and vector fields
Karl B. Hoffmann, Ivo F. Sbalzarini
The identification of singular points or topological defects in discretized vector fields occurs in diverse areas ranging from the polarization of the cosmic microwave background t…
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
Mangal Prakash, Alexander Krull, Florian Jug
Deep Learning based methods have emerged as the indisputable leaders for virtually all image restoration tasks. Especially in the domain of microscopy images, various content-aware…
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
Kira Vinogradova, Alexandr Dibrov, Gene Myers
Convolutional neural networks have become state-of-the-art in a wide range of image recognition tasks. The interpretation of their predictions, however, is an active area of resear…
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy
Martin Weigert, Uwe Schmidt, Robert Haase +2
Accurate detection and segmentation of cell nuclei in volumetric (3D) fluorescence microscopy datasets is an important step in many biomedical research projects. Although many auto…
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino +1
Multiple approaches to use deep learning for image restoration have recently been proposed. Training such approaches requires well registered pairs of high and low quality images.…
Cell Detection with Star-convex Polygons
Uwe Schmidt, Martin Weigert, Coleman Broaddus +1
Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications. Recent successful learning-based approaches include per…
Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks
Martin Weigert, Loic Royer, Florian Jug +1
Fluorescence microscopy images usually show severe anisotropy in axial versus lateral resolution. This hampers downstream processing, i.e. the automatic extraction of quantitative…
Efficient Algorithms for Moral Lineage Tracing
Markus Rempfler, Jan-Hendrik Lange, Florian Jug +4
Lineage tracing, the joint segmentation and tracking of living cells as they move and divide in a sequence of light microscopy images, is a challenging task. Jug et al. have propos…
Moral Lineage Tracing
Florian Jug, Evgeny Levinkov, Corinna Blasse +2
Lineage tracing, the tracking of living cells as they move and divide, is a central problem in biological image analysis. Solutions, called lineage forests, are key to understandin…
Convexity Shape Constraints for Image Segmentation
Loic A. Royer, David L. Richmond, Carsten Rother +2
Segmenting an image into multiple components is a central task in computer vision. In many practical scenarios, prior knowledge about plausible components is available. Incorporati…
Particle methods enable fast and simple approximation of Sobolev gradients in image segmentation
Ivo F. Sbalzarini, Sophie Schneider, Janick Cardinale
Bio-image analysis is challenging due to inhomogeneous intensity distributions and high levels of noise in the images. Bayesian inference provides a principled way for regularizing…