Martin Urschler

Has grant

Ass. Prof.

Medical University of Graz

Austria

Research Interests

Explore related searches

Professors in Austria Professors in Medical Imaging Medical Imaging professors in Austria

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Martin Urschler is an Assistant Professor at the Medical University of Graz in Austria. His research primarily focuses on advanced imaging techniques and their applications in medical radiology, with recent articles exploring topics such as MRI for age estimation, cardiac segmentation, and the integration of anatomical and electrophysiological data. He is also involved in innovative approaches to machine learning and privacy-preserving patient stratification in healthcare.

Recent Grants

Grant: Close

FAME: Fully Automatic MRI-based Age Estimation of Adolescents

Open Date: 2015-07-01

Close Date: 2018-06-30

Articles (14)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (9)

Gian Marco Melito

Graz University of Technology (90000)

AUSTRIA

View details

Roy Eagleson

Professor

University of Western Ontario

CANADA

View details

Susann Beier

Senior Lecturer

University of New South Wales

AUSTRALIA

View details

Claudia Krebs

The University of British Columbia

CANADA

View details

Hamza MEKHZOUM

Vrije Universiteit Brussel

BELGIUM

View details

Patrick Langenhuizen

Eindhoven University of Technology

NETHERLANDS

View details

Darko Štern

Medical University of Graz

AUSTRIA

View details

Stefan Cornelissen

Eindhoven University of Technology

NETHERLANDS

View details

John-David Aubert

Méd agréé, prof emeritus

University of Lausanne

SWITZERLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Martin Urschler

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (14)

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Magnetic resonance imaging for multi-factorial age estimation using Bayes’ rule: a validation study in two independent samples

Cascaded Self-Supervision to Advance Cardiac MRI Segmentation in Low-Data Regimes

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology.

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates

Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping

Flow Matching-Based Data Synthesis for Robust Anatomical Landmark Localization

<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision.

Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization Models

Federated unsupervised random forest for privacy-preserving patient stratification

Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs

Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

Bone age estimation with the Greulich-Pyle atlas using 3T MR images of hand and wrist

Collaborators (9)

Gian Marco Melito

Roy Eagleson

Susann Beier

Claudia Krebs

Hamza MEKHZOUM

Patrick Langenhuizen

Darko Štern

Stefan Cornelissen

John-David Aubert

Make your next move.

Martin Urschler

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (14)

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Magnetic resonance imaging for multi-factorial age estimation using Bayes’ rule: a validation study in two independent samples

Cascaded Self-Supervision to Advance Cardiac MRI Segmentation in Low-Data Regimes

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology.

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates

Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping

Flow Matching-Based Data Synthesis for Robust Anatomical Landmark Localization

&lt;i&gt;MedShapeNet&lt;/i&gt; - a large-scale dataset of 3D medical shapes for computer vision.

Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization Models

Federated unsupervised random forest for privacy-preserving patient stratification

Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs

Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

Bone age estimation with the Greulich-Pyle atlas using 3T MR images of hand and wrist

Collaborators (9)

Gian Marco Melito

Roy Eagleson

Susann Beier

Claudia Krebs

Hamza MEKHZOUM

Patrick Langenhuizen

Darko Štern

Stefan Cornelissen

John-David Aubert

Make your next move.

<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision.