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Thomas Hadler
Observed names:
Hadler, Thomas,
T. Hadler
Institutions:
Max Delbrück Center,
Humboldt-Universität zu Berlin,
German Centre for Cardiovascular Research,
Freie Universität Berlin,
Charité - Universitätsmedizin Berlin
Observed institutions:
Max Delbrück Center,
Humboldt-Universität zu Berlin,
German Centre for Cardiovascular Research,
Helios Hospital Berlin-Buch,
Stiftung Charité,
Freie Universität Berlin,
Charité - Universitätsmedizin Berlin
show all 7
ORCID:
0000-0002-6151-6858
Observed ORCID:
0000-0002-6151-6858
OpenAlex ID:
A5088409693
Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking—a cardiovascular MR study in health and disease
2023
·
Jan Gröschel
, Johanna Kuhnt
, et al.
·
European Radiology
·
20
PDF
Multi-site comparison of parametric T1 and T2 mapping: healthy travelling volunteers in the Berlin research network for cardiovascular magnetic resonance (BER-CMR)
2023
·
Jan Gröschel
, Ralf-Felix Trauzeddel
, et al.
·
Journal of Cardiovascular Magnetic Resonance
·
19
PDF
Introduction of Lazy Luna an automatic software-driven multilevel comparison of ventricular function quantification in cardiovascular magnetic resonance imaging
2022
·
Thomas Hadler
, Jens Wetzl
, et al.
·
Scientific Reports
·
17
PDF
Sex-specific structural and functional cardiac remodeling during healthy aging assessed by cardiovascular magnetic resonance
2024
·
Leonhard Grassow
, Jan Gröschel
, et al.
·
Clinical Research in Cardiology
·
14
PDF
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations
2023
·
Clemens Ammann
, Thomas Hadler
, et al.
·
Frontiers in Cardiovascular Medicine
·
12
PDF
Post-hoc standardisation of parametric T1 maps in cardiovascular magnetic resonance imaging: a proof-of-concept
2024
·
Darian Viezzer
, Thomas Hadler
, et al.
·
EBioMedicine
·
9
PDF
Lazy Luna: Extendible software for multilevel reader comparison in cardiovascular magnetic resonance imaging
2023
·
Thomas Hadler
, Clemens Ammann
, et al.
·
Computer Methods and Programs in Biomedicine
·
9
PDF
Introduction of a cascaded segmentation pipeline for parametric T1 mapping in cardiovascular magnetic resonance to improve segmentation performance
2023
·
Darian Viezzer
, Thomas Hadler
, et al.
·
Scientific Reports
·
7
PDF
Reproducibility of late gadolinium enhancement quantification techniques in ischemic and non-ischemic heart diseases (ReLate study)
2025
·
Jonathan Gavrysh
, Philine Reisdorf
, et al.
·
Frontiers in Cardiovascular Medicine
·
6
PDF
Cardiovascular magnetic resonance reveals myocardial involvement in patients with active stage of inflammatory bowel disease
2024
·
Maximilian Fenski
, Endri Abazi
, et al.
·
Clinical Research in Cardiology
·
6
Inter-site comparability of 4D flow cardiovascular magnetic resonance measurements in healthy traveling volunteers—a multi-site and multi-magnetic field strength study
2024
·
Maximilian Müller
, Elias Daud
, et al.
·
Frontiers in Cardiovascular Medicine
·
5
The influence of post-processing software on quantitative results in 4D flow cardiovascular magnetic resonance examinations
2024
·
Ralf F. Trauzeddel
, Maximilian Müller
, et al.
·
Frontiers in Cardiovascular Medicine
·
4
Assessing the robustness of an artificial intelligence segmentation model for quantitative cardiovascular magnetic resonance imaging across cardiac phenotypes
2025
·
Hadil Saad
, Clemens Ammann
, et al.
·
The International Journal of Cardiovascular Imaging
·
3
PDF
Lumos: Software for Multi-level Multi-reader Comparison of Cardiovascular Magnetic Resonance Late Gadolinium Enhancement Scar Quantification
2025
·
Philine Reisdorf
, Jonathan Gavrysh
, et al.
·
Journal of Imaging Informatics in Medicine
·
3
Analysis of confounders of the image quality of a high-resolution isotropic three-dimensional Dixon water-fat late gadolinium enhancement technique
2025
·
Johanna Kuhnt
, Edyta Blaszczyk
, et al.
·
Journal of Cardiovascular Magnetic Resonance
·
3
Hypertrophic obstructive cardiomyopathy-left ventricular outflow tract shapes and their hemodynamic influences applying CMR
2024
·
T. Mayr
, L. Riazy
, et al.
·
The International Journal of Cardiovascular Imaging
·
3
PDF
Assessing reliability and comparability of 4D flow CMR whole heart measurements using retrospective valve tracking: A single-vendor study in the Berlin research network
2025
·
Elias Daud
, Ralf Felix Trauzeddel
, et al.
·
Magnetic Resonance Imaging
·
2
Reslice3Dto2D: Introduction of a software tool to reformat 3D volumes into reference 2D slices in cardiovascular magnetic resonance imaging
2024
·
Darian Viezzer
, Maximilian Fenski
, et al.
·
BMC Research Notes
·
2
PDF
Myocardial Native T1 Mapping in the German National Cohort (NAKO): Associations with Age, Sex, and Cardiometabolic Risk Factors
2026
·
Clemens Ammann
, Jan Gröschel
, et al.
·
Journal of Cardiovascular Magnetic Resonance
·
1
Reproducibility assessment of biventricular strain derived from Long-Axis feature tracking in travelling Volunteers - A study in the Berlin research network for cardiovascular magnetic resonance (BER-CMR)
2025
·
Clemens Ammann
, Ralf Felix Trauzeddel
, et al.
·
The International Journal of Cardiovascular Imaging
·
1
PDF
Verity plots: A novel method of visualizing reliability assessments of artificial intelligence methods in quantitative cardiovascular magnetic resonance
2025
·
Thomas Hadler
, Clemens Ammann
, et al.
·
PLoS ONE
·
1
PDF
Shaping Quality in Cardiovascular Magnetic Resonance: A Comparative Study of Segmentation Approaches by Trainees and Experts
2025
·
Jan Gröschel
, Thomas Hadler
, et al.
·
CJC Open
·
1
Ecg-signal-analysis by Feature-correlation for Clinical Field Strengths and Ultra-high-field Cardiovascular Magnetic Resonance
2024
·
Richard Hickstein
, Darian Viezzer
, et al.
·
Journal of Cardiovascular Magnetic Resonance
·
1
Deep-Learning-based Quantification of Epicardial Adipose Tissue by 3D Dixon Cardiovascular Magnetic Resonance
2026
·
Halil Noyan
, Richard Hickstein
, et al.
·
medRxiv
A comparison of vendor artificial intelligence solutions for automated post-processing of short-axis cine images in cardiovascular magnetic resonance imaging
2026
·
Thomas Hadler
, Clemens Ammann
, et al.
·
Scientific Reports
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Works count:
65
Citation count:
149
H-index:
7
I10-index:
5
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