26 citations · 36 across the 2 of their papers we have counts for
5 papers
Introducing Hann windows for reducing edge-effects in patch-based image segmentation
Nicolas Pielawski, Carolina Wählby
There is a limitation in the size of an image that can be processed using computationally demanding methods such as e.g. Convolutional Neural Networks (CNNs). Some imaging modaliti…
In Silico Prediction of Cell Traction Forces
Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad +1
Traction Force Microscopy (TFM) is a technique used to determine the tensions that a biological cell conveys to the underlying surface. Typically, TFM requires culturing cells on g…
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
Peter Ström, Kimmo Kartasalo, Henrik Olsson +29
Background: An increasing volume of prostate biopsies and a world-wide shortage of uro-pathologists puts a strain on pathology departments. Additionally, the high intra- and inter-…
Whole slide image registration for the study of tumor heterogeneity
Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita +3
Consecutive thin sections of tissue samples make it possible to study local variation in e.g. protein expression and tumor heterogeneity by staining for a new protein in each secti…
Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model
Gabriele Partel, Giorgia Milli, Carolina Wählby
Image-based sequencing of mRNA makes it possible to see where in a tissue sample a given gene is active, and thus discern large numbers of different cell types in parallel. This is…