activity
20192025
most citedThe Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

151 citations · 174 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2025

From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging

Alexander Oberstrass, Esteban Vaca, Eric Upschulte +7

Comprehensive assessment of the various aspects of the brain's microstructure requires the use of complementary imaging techniques. This includes measuring the spatial distribution…

cs.LG2023★ 8 cited

A Survey on Self-Supervised Representation Learning

Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner +5

Learning meaningful representations is at the heart of many tasks in the field of modern machine learning. Recently, a lot of methods were introduced that allow learning of image r…

eess.IV2023★ 151 cited

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

Jun Ma, Ronald Xie, Shamini Ayyadhury +37

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…

cs.CV2021

Contour Proposal Networks for Biomedical Instance Segmentation

Eric Upschulte, Stefan Harmeling, Katrin Amunts +1

We present a conceptually simple framework for object instance segmentation called Contour Proposal Network (CPN), which detects possibly overlapping objects in an image while simu…

cs.LG2019★ 15 cited

On the Vulnerability of Capsule Networks to Adversarial Attacks

Felix Michels, Tobias Uelwer, Eric Upschulte +1

This paper extensively evaluates the vulnerability of capsule networks to different adversarial attacks. Recent work suggests that these architectures are more robust towards adver…