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Andreas Heinrich

Ewha Womans University · Engineering

About the Lab

Professor Andreas Heinrich's research lab specializes in computer vision and machine learning applications for medical image analysis, particularly in forensic odontology and biomedical diagnostics. The lab focuses on developing automated systems for human identification using panoramic dental radiographs (orthopantomograms), integrating advanced feature detection and deep learning for age estimation and image matching. Additionally, the lab explores biophysical and immunological mechanisms in infectious diseases and investigates superconducting thin films for electronic applications.

computer visionforensic odontologydeep learningmedical imagingYBCO thin films

Research Overview

Papers
194
Total Citations
1,116
Papers (5y)
58
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
58total
2021
2022
2023
2024
2025
Citations per year (5y)
148total
20212022202320242025

Selected Papers

15
1
Article|39 citations·2018
Forensic Odontology: Automatic Identification of Persons Comparing Antemortem and Postmortem Panoramic Radiographs Using Computer Vision
Andreas Heinrich, Felix Güttler, Sebastian Wendt, Sebastian Schenkl, Michael Hubig, Rebecca Wagner, Gita Mall, Ulf Teichgräber
SJR Q3RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden VerfahrenOA

PURPOSE: In forensic odontology the comparison between antemortem and postmortem panoramic radiographs (PRs) is a reliable method for person identification. The purpose of this study was to improve and automate identification of unknown people by comparison between antemortem and postmortem PR using computer vision. MATERIALS AND METHODS: The study includes 43 467 PRs from 24 545 patients (46 % females/54 % males). All PRs were filtered and evaluated with Matlab R2014b including the toolboxes im

ArcheologyArts and Humanities
2
Article|38 citations·2020
Automatic human identification based on dental X-ray radiographs using computer vision
Andreas Heinrich, Felix Güttler, Sebastian Schenkl, Rebecca Wagner, Ulf Teichgräber
SJR Q1Scientific ReportsOA

A person may be identified by comparison between ante- and post-mortem dental panoramic radiographs (DPR). However, it is difficult to find reference material if the person is unknown. This is often the case when victims of crime or mass disaster are found. Computer vision can be a helpful solution to automate the finding of reference material in a large database of images. The purpose of the present study was to improve the automated identification of unknown individuals by comparison of ante-

Oral SurgeryDentistry
3
book|36 citations·2020
3D Printing of Optical Components
Andreas Heinrich
Springer series in optical sciences/SPringer series in optical sciences
Automotive EngineeringEngineering
4
Article|35 citations·1999
Fault current limiting properties of YBCO-films on sapphire substrates
Andreas Heinrich, R. Semerad, H. Kinder, H. Mosebach, M. Lindmayer
SJR Q2IEEE Transactions on Applied Superconductivity

We have studied the switching of YBCO thin film resistive fault current limiting devices. Films of 300 nm thickness were deposited on 2 inch and 4 inch sapphire substrates by thermal co-evaporation. Bridges 10 mm wide and 22 mm long (2 inch) or 42 mm long (4 inch) were structured by standard photolithography. Contacts were made by in-situ gold overlayers and soft solder. The gold film was removed from the switching area so that the YBCO film was not shunted. The films were tested by 30 /spl mu/s

Electrical and Electronic EngineeringEngineering
5
Article|33 citations·2016
Moraxella catarrhalis induces CEACAM3‐Syk‐CARD9‐dependent activation of human granulocytes
Andreas Heinrich, Kerstin A. Heyl, Esther Klaile, Mario M. Müller, Tilman E. Klassert, Alexandra Wießner, Katja Fischer, R. R. Schumann, Ulrike Seifert, Kristian Riesbeck, Annette Moter, Bernhard B. Singer
SJR Q1Cellular MicrobiologyOA

The human restricted pathogen Moraxella catarrhalis is an important causal agent for exacerbations in chronic obstructive lung disease in adults. In such patients, increased numbers of granulocytes are present in the airways, which correlate with bacteria-induced exacerbations and severity of the disease. Our study investigated whether the interaction of M. catarrhalis with the human granulocyte-specific carcinoembryonic antigen-related cell adhesion molecule (CEACAM)-3 is linked to NF-κB activa

OncologyMedicine
6
Article|26 citations·2007
Laser-modified titanium implants for improved cell adhesion
Andreas Heinrich, Katrin Dengler, Timo Koerner, Cornelia Haczek, Herbert Deppe, B. Stritzker
SJR Q2Lasers in Medical Science
Oral SurgeryDentistry
7
Article|23 citations·2021
CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning–based reconstruction
Andreas Heinrich, Sebastian Schenkl, David Buckreus, Felix Güttler, Ulf Teichgräber
SJR Q1European RadiologyOA

OBJECTIVES: The aim of this study was to evaluate the sensitivity of CT-based thermometry for clinical applications regarding a three-component tissue phantom of fat, muscle and bone. Virtual monoenergetic images (VMI) by dual-energy measurements and conventional polychromatic 120-kVp images with modern reconstruction algorithms adaptive statistical iterative reconstruction-Volume (ASIR-V) and deep learning image reconstruction (DLIR) were compared. METHODS: A temperature-regulating water circui

Biomedical EngineeringEngineering
8
Article|22 citations·2024
Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years
Andreas Heinrich
SJR Q1Scientific ReportsOA

Computer Vision (CV)-based human identification using orthopantomograms (OPGs) has the potential to identify unknown deceased individuals by comparing postmortem OPGs with a comprehensive antemortem CV database. However, the growing size of the CV database leads to longer processing times. This study aims to develop a standardized and reliable Convolutional Neural Network (CNN) for age estimation using OPGs and integrate it into the CV-based human identification process. The CNN was trained on 5

ArcheologyArts and Humanities
9
Article|18 citations·2005
Quenching of superconductivity and propagation of the resulting normal phase in YBCO films
Andreas Heinrich
SJR Q1Superconductor Science and Technology

For the development of resistive fault current limiters understanding of the transition into the normal state is a crucial point. Thereby, there is a ongoing discussion of whether this quench formation is due to a thermal or a non-thermal process. Fast propagation velocity of the quench and a transition clearly below the critical temperature are hints at a non-thermal effect.

Condensed Matter PhysicsPhysics and Astronomy
10
Article|16 citations·2025
Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults
Rahel Mara Koch, Hans‐Joachim Mentzel, Andreas Heinrich
SJR Q1European RadiologyOA

OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluates improvements in forensic age prediction for children, adolescents, and young adults by training a custom CNN from a previous study, using a larger, diverse dataset with a focus on dental growth features. METHODS: 21,814 OPGs from 13,766 individuals

ArcheologyArts and Humanities
11
Article|15 citations·2020
Systematic evaluation of particle loss during handling in the percutaneous transluminal angioplasty for eight different drug-coated balloons
Andreas Heinrich, Martin S. Engler, Felix Güttler, Christian Matthäus, Jürgen Popp, Ulf Teichgräber
SJR Q1Scientific ReportsOA

Paclitaxel drug coated balloons (DCBs) should provide optimal drug transfer exclusively to the target tissue. The aim of this study was to evaluate the particle loss by handling during angioplasty. A robotic arm was developed for systematic and reproducible drug abrasion experiments. The contact force on eight different commercially available DCB types was gradually increased, and high-resolution microscopic images of the deflated and inflated balloons were recorded. Three types of DCBs were cla

SurgeryMedicine
12
Article|12 citations·2024
Automatic personal identification using a single CT image
Andreas Heinrich
SJR Q1European RadiologyOA

OBJECTIVES: Computer vision (CV) mimics human vision, enabling computers to automatically compare radiological images from recent examinations with a large image database for unique identification, crucial in emergency scenarios involving unknown patients or deceased individuals. This study aims to extend a CV-based personal identification method from orthopantomograms (OPGs) to computed tomography (CT) examinations using single CT slices. METHODS: The study analyzed 819 cranial computed tomogra

ArcheologyArts and Humanities
13
Article|12 citations·2004
Influence of oxygen pressure, temperature and substrate/target distance on Cu2Ta4O12 thin films prepared by pulsed-laser deposition
Andreas Heinrich, Bernd Renner, R. A. Lux, Stefan G. Ebbinghaus, Armin Reller, B. Stritzker
SJR Q2Thin Solid Films
Materials ChemistryMaterials Science
14
Article|9 citations·2015
Measurement of susceptibility artifacts with histogram-based reference value on magnetic resonance images according to standard ASTM F2119
Andreas Heinrich, Ulf Teichgräber, Felix Güttler
SJR Q3Biomedizinische Technik/Biomedical Engineering

OBJECTIVE: The standard ASTM F2119 describes a test method for measuring the size of a susceptibility artifact based on the example of a passive implant. A pixel in an image is considered to be a part of an image artifact if the intensity is changed by at least 30% in the presence of a test object, compared to a reference image in which the test object is absent (reference value). The aim of this paper is to simplify and accelerate the test method using a histogram-based reference value. MATERIA

Radiology, Nuclear Medicine and ImagingMedicine
15
Article|8 citations·2016
In vitro stent assessment by MRI: visibility of lumen and artifacts for 27 modern stents
Andreas Heinrich, Felix Güttler, Florian Schlesies, René Aschenbach, Niklas Eckardt, Ulf Teichgräber
SJR Q3Biomedizinische Technik/Biomedical Engineering

PURPOSE: The purpose of this study was to measure artifacts and visibility of lumen for modern and most commonly used stents in vascular interventions according to a standardized test method of the American Society for Testing and Materials (ASTM). MATERIALS AND METHODS: Twenty-four peripheral self-expanding nitinol stents and three stainless steel stents with diameters between 5 and 8 mm and lengths between 30 and 250 mm from seven different manufacturers were compared on a 1.5T and a 3T magnet

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

Biomedical EngineeringRadiology, Nuclear Medicine and ImagingElectrical and Electronic EngineeringSurgeryArcheologyOral Surgery

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