Markus Reischl at Karlsruher Institut für Technologie - Research Interests, Publications & Academic Profile

Markus Reischl

Professor

Karlsruher Institut für Technologie

Germany

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do Bangladeshi students reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Research Interests

Materials Chemistry

30%

Tissue Engineering

30%

Computational Imaging

30%

Computer Vision

30%

Atomistic Simulation

20%

Cell Culture Techniques

20%

Materials Science

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles20

Uncertainty-aware particle segmentation for electron microscopy at varied length scales

Article Link

Year:

2024

Image-based recognition of parasitoid wasps using advanced neural networks

Article Link

Year:

2024

From in vitro to in silico: a pipeline for generating virtual tissue simulations from real image data

Article Link

Year:

2024

A multiparametric analysis including single-cell and subcellular feature assessment reveals differential behavior of spheroid cultures on distinct ultra-low attachment plate types

Article Link

Year:

2024

Using the High-Entropy Approach to Obtain Multimetal Oxide Nanozymes: Library Synthesis, In Silico Structure–Activity, and Immunoassay Performance

Article Link

Year:

2024

TRIM11 expression in non-small cell lung cancer is associated with poor prognosis

Article Link

Year:

2024

Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning

Article Link

Year:

2024

A Novel Approach to Light Detection and Ranging Sensor Placement for Autonomous Driving Vehicles Using Deep Deterministic Policy Gradient Algorithm

Article Link

Year:

2024

Surface-Patterned DNA Origami Rulers Reveal Nanoscale Distance Dependency of the Epidermal Growth Factor Receptor Activation

Article Link

Year:

2024

A Review of Adaptable Conventional Image Processing Pipelines and Deep Learning on limited Datasets

Article Link

Year:

2024

An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae

Article Link

Year:

2021

Development of an Experimental Setup for Real-Time In-Line Dissolved Ozone Measurement for Medical Therapy

Article Link

Year:

2021

CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units A transferable and automated approach for industrial use cases,CAD-to-real: Eine Methode zum Einsatz tiefer neuronaler Netze bei der 3D-Lageerkennung von elektronischen Steuergeräten Ein transferierbarer und automatisierter Ansatz für industrielle Anwendungen

Article Link

Year:

2021

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting

Article Link

Year:

2021

Designing Inherently Photodegradable Cell-Adhesive Hydrogels for 3D Cell Culture

Article Link

Year:

2021

Enhancing deep-learning training for phase identification in powder X-ray diffractograms

Article Link

Year:

2021

Enhancing deep-learning training for phase identification in powder X-ray diffractograms

Article Link

Year:

2021

Equilibrium droplet shapes on chemically patterned surfaces: theoretical calculation, phase-field simulation, and experiments

Article Link

Year:

2021

Evaluating features to represent changes in unstructured image data,Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten

Article Link

Year:

2021

Evaluation of four point cloud similarity measures for the use in autonomous driving,Bewertung von vier Punktwolkenähnlichkeitsmaßen für die Anwendung im Autonomen Fahren

Article Link

Year:

2021

Collaborators9

Roman Bruch

Karlsruhe Institute of Technology

GERMANY

Yan Zeng

Assistant Professor

Florida State University

UNITED STATES

Gianluca Bello

Universität Wien

AUSTRIA

Christian Pylatiuk

Karlsruhe Institute of Technology

GERMANY

Christian Kuebel

Professor for in-situ electron microscopy

Technische Universität Darmstadt

GERMANY

Yanchen Wu

MIT

UNITED STATES

Ulrich Gengenbach

Head of research area

Karlsruhe Institute of Technology

GERMANY

Martin Ungerer

Karlsruhe Institute of Technology

GERMANY

Tina Karimian

University of Applied Sciences Upper Austria

AUSTRIA

How do Bangladeshi students reach out?

Meet Kite AI