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Janine Olesch

Researcher at University of Lübeck

Publications -  15
Citations -  497

Janine Olesch is an academic researcher from University of Lübeck. The author has contributed to research in topics: Image registration & Landmark. The author has an hindex of 7, co-authored 15 publications receiving 397 citations.

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Journal ArticleDOI

Cancer cell invasion and EMT marker expression: a three-dimensional study of the human cancer-host interface.

TL;DR: The relationship between current biological and clinical concepts such as cell migration modes, tumour budding and epithelial-mesenchymal transition (EMT) remains unclear in several aspects, especially for the'real' situation in human cancer as mentioned in this paper.
Journal ArticleDOI

Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images

TL;DR: A variational approach based on a reference scan pair with reversed polarity of the phase- and frequency-encoding gradients and hence reversed distortion is presented, which provides meaningful, i.e. diffeomorphic, geometric transformations, independent of the actual choice of the regularization parameters.
Journal ArticleDOI

Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images

TL;DR: The proposed method significantly improves the accuracy of multistain registration which allows us to compare different antibodies at cell level, and is applied to ten whole slide image pairs of human lung cancer data.
Proceedings ArticleDOI

Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images

TL;DR: A novel image registration based method for reconstructing a 3D tissue block implementing a zooming strategy around a user-defined point of interest and is able to correct locally varying deformations in tissue structures and exceeds the limitations of globally linear transformations.
Book ChapterDOI

Landmark Constrained Non-parametric Image Registration with Isotropic Tolerances

TL;DR: This work introduces inequality constraints, which allow for a sphere-like tolerance around each landmark, which offers the possibility to control the quality of the matching of each landmark pair individually in a variational non-parametric registration framework.