Martin Urschler
38 Princes Street
Auckland, AUK 1010, New Zealand
Auckland, AUK 1010, New Zealand
Last Updated: 09/26/2026
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Found 55 publications
Pulmonary Artery and Vein Morphology as an Imaging Biomarker for the Diagnosis of Pulmonary Hypertension.
Journal: Diagnostics (Basel, Switzerland)
Published: November 17, 2025
Flow Matching-Based Data Synthesis for Robust Anatomical Landmark Localization.
Journal: IEEE journal of biomedical and health informatics
Published: August 29, 2025
Minimal age principle versus Bayesian approach to combine age indicators from magnetic resonance imaging for multifactorial forensic age estimation.
Journal: Journal of forensic sciences
Published: August 20, 2025
Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI.
Journal: Biomedical engineering online
Published: August 07, 2025
Cascaded Self-Supervision to Advance Cardiac MRI Segmentation in Low-Data Regimes.
Journal: Bioengineering (Basel, Switzerland)
Published: July 11, 2025
autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis.
Journal: Arthritis & rheumatology (Hoboken, N.J.)
Published: April 17, 2025
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.
Journal: ArXiv
Published: February 20, 2025
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology.
Journal: Medical image analysis
Published: February 06, 2025
Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates.
Journal: Computers in biology and medicine
Published: December 12, 2024
Magnetic resonance imaging for multi-factorial age estimation using Bayes' rule: a validation study in two independent samples.
Journal: International journal of legal medicine
Published: December 03, 2024
Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology.
Journal: Scientific reports
Published: November 21, 2024
Last Updated: 09/26/2026