14 citations · 31 across the 9 of their papers we have counts for
11 papers
Data Synthesis Improves 3D Myotube Instance Segmentation
David Exler, Nils Friederich, Martin Krüger +5
Myotubes are multinucleated muscle fibers serving as key model systems for studying muscle physiology, disease mechanisms, and drug responses. Mechanistic studies and drug screenin…
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
Angelo Yamachui Sitcheu, Nils Friederich, Simon Baeuerle +3
Nowadays, Machine Learning (ML) is experiencing tremendous popularity that has never been seen before. The operationalization of ML models is governed by a set of concepts and meth…
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…
EasyMLServe: Easy Deployment of REST Machine Learning Services
Oliver Neumann, Marcel Schilling, Markus Reischl +1
Various research domains use machine learning approaches because they can solve complex tasks by learning from data. Deploying machine learning models, however, is not trivial and…
A universal synthetic dataset for machine learning on spectroscopic data
Jan Schuetzke, Nathan J. Szymanski, Markus Reischl
To assist in the development of machine learning methods for automated classification of spectroscopic data, we have generated a universal synthetic dataset that can be used for mo…
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network
Moritz Böhland, Oliver Neumann, Marcel P. Schilling +4
Automated cell nucleus segmentation and classification are required to assist pathologists in their decision making. The Colon Nuclei Identification and Counting Challenge 2022 (Co…
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization
Geoffroy Chaussonnet, Christian Lieber, Yan Yikang +6
This technical report investigates the potential of Convolutional Neural Networks to post-process images from primary atomization. Three tasks are investigated. First, the detectio…
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning
Mark Schutera, Niklas Goby, Stefan Smolarek +1
This work examines the implications of uncoupled intersections with local real-world topology and sensor setup on traffic light control approaches. Control approaches are evaluated…
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic
Mark Schutera, Niklas Goby, Dirk Neumann +1
Transportation and traffic are currently undergoing a rapid increase in terms of both scale and complexity. At the same time, an increasing share of traffic participants are being…
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide
Ralf Mikut, Andreas Bartschat, Wolfgang Doneit +5
The Matlab toolbox SciXMiner is designed for the visualization and analysis of time series and features with a special focus to classification problems. It was developed at the Ins…
Robust Individual Circadian Parameter Estimation for Biosignal-based Personalisation of Cancer Chronotherapy
Benjamin Schott, Johannes Stegmaier, Alexandre Arbaud +3
In cancer treatment, chemotherapy is administered according a constant schedule. The chronotherapy approach, considering chronobiological drug delivery, adapts the chemotherapy pro…