45 citations · 56 across the 8 of their papers we have counts for
8 papers
From Cells to Survival: Hierarchical Analysis of Cell Inter-Relations in Multiplex Microscopy for Lung Cancer Prognosis
Olle Edgren Schüllerqvist, Jens Baumann, Joakim Lindblad +4
The tumor microenvironment (TME) has emerged as a promising source of prognostic biomarkers. To fully leverage its potential, analysis methods must capture complex interactions bet…
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51
Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…
UpStory: the Uppsala Storytelling dataset
Marc Fraile, Natalia Calvo-Barajas, Anastasia Sophia Apeiron +4
Friendship and rapport play an important role in the formation of constructive social interactions, and have been widely studied in educational settings due to their impact on stud…
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
Wenyi Lian, Joakim Lindblad, Christina Runow Stark +2
Oral cancer is a global health challenge. It is treatable if detected early, but it is often fatal in late stages. There is a shift from the invasive and time-consuming tissue samp…
Bio-Image Informatics Index BIII: A unique database of image analysis tools and workflows for and by the bioimaging community
Chong Zhang, Alban Gaignard, Matus Kalas +15
Bio image analysis has recently become one keystone of biological research but biologists tend to get lost in a plethora of available software and the way to adjust available tools…
Stochastic Distance Transform
Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
The distance transform (DT) and its many variations are ubiquitous tools for image processing and analysis. In many imaging scenarios, the images of interest are corrupted by noise…
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
Tomáš Majtner, Buda Bajić, Sule Yildirim +3
In this report, we are presenting our automated prediction system for disease classification within dermoscopic images. The proposed solution is based on deep learning, where we em…
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
Intensity-based image registration approaches rely on similarity measures to guide the search for geometric correspondences with high affinity between images. The properties of the…