Klaus Toennies

About Klaus Toennies

Klaus Toennies, With an exceptional h-index of 26 and a recent h-index of 13 (since 2020), a distinguished researcher at Otto-von-Guericke-Universität Magdeburg, specializes in the field of Image Analysis, Object Detection, Segmentation, Registration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decision Boundaries in Feature Space

Dealing with Training Deficiencies

Feature Reduction

Bayesian Image Classification in Feature Space

Image Classification: A Computer Vision Task

7 multi-layer perceptron for image classification

Learning Effects and Network Decisions

Distance-Based Classifiers

Klaus Toennies Information

University

Position

Professur für Computer Vision

Citations(all)

3356

Citations(since 2020)

858

Cited By

2814

hIndex(all)

26

hIndex(since 2020)

13

i10Index(all)

74

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Klaus Toennies Skills & Research Interests

Image Analysis

Object Detection

Segmentation

Registration

Top articles of Klaus Toennies

Title

Journal

Author(s)

Publication Date

Decision Boundaries in Feature Space

Klaus D Toennies

2024/1/25

Dealing with Training Deficiencies

Klaus D Toennies

2024/1/25

Feature Reduction

Klaus D Toennies

2024/1/25

Bayesian Image Classification in Feature Space

Klaus D Toennies

2024/1/25

Image Classification: A Computer Vision Task

Klaus D Toennies

2024/1/25

7 multi-layer perceptron for image classification

Klaus D Toennies

2024/1/25

Learning Effects and Network Decisions

Klaus D Toennies

2024/1/25

Distance-Based Classifiers

Klaus D Toennies

2024/1/25

Feature Extraction by Convolutional Neural Network

Klaus D Toennies

2024/1/25

Image Features: Extraction and Categories

Klaus D Toennies

2024/1/25

Basic Network Training for Image Classification

Klaus D Toennies

2024/1/25

Network Set-Up for Image Classification

Klaus D Toennies

2024/1/25

Semantic Scene Filtering for Event Cameras in Long-Term Outdoor Monitoring Scenarios

Tobias Bolten

Regina Pohle-Fröhlich

Klaus D Tönnies

2023/10/16

Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI

Max Dünnwald

Philipp Ernst

Emrah Düzel

Klaus Tönnies

Matthew J Betts

...

2023/6/22

N-MuPeTS: Event Camera Dataset for Multi-Person Tracking and Instance Segmentation.

Tobias Bolten

Christian Neumann

Regina Pohle-Fröhlich

Klaus D Tönnies

2023

Semantic Segmentation on Neuromorphic Vision Sensor Event-Streams Using PointNet++ and UNet Based Processing Approaches.

Tobias Bolten

Regina Pohle-Fröhlich

Klaus D Tönnies

2023

Automatisierte bild-und videobasierte Mimikanalyse für die Messung von Schmerzen und Facial Action Units

Philipp Werner

2022

Evaluation of Deep Learning based 3D-Point-Cloud Processing Techniques for Semantic Segmentation of Neuromorphic Vision Sensor Event-streams.

Tobias Bolten

Felix Lentzen

Regina Pohle-Fröhlich

Klaus D Tönnies

2022

Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI

International journal of computer assisted radiology and surgery

Max Dünnwald

Philipp Ernst

Emrah Düzel

Klaus Tönnies

Matthew J Betts

...

2021/12

Learning multi-modal volumetric prostate registration with weak inter-subject spatial correspondence

Oleksii Bashkanov

Anneke Meyer

Daniel Schindele

Martin Schostak

Klaus-Dietz Tönnies

...

2021/4/13

See List of Professors in Klaus Toennies University(Otto-von-Guericke-Universität Magdeburg)