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Hartmut Häntze

Showing results (1-10 of 8) with videos related to

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Bioinformatics (Oxford, England)|June 30, 2023
Effects of spaced k-mers on alignment-free genotypingHartmut Häntze, Paul Horton
European Radiology Experimental|September 20, 2025
MRI annotation using an inversion-based preprocessing for CT model adaptationHartmut Häntze, Lina Xu, Maximilian Nikolas Rattunde, et al.
Academic Radiology|January 7, 2025
Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural NetworksFares Al Mohamad, Leonhard Donle, Felix Dorfner, et al.
RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
The Lancet Regional Health. Europe|June 9, 2025
Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational studySebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, et al.
Radiology|June 30, 2026
Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German CohortSebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, et al.
Radiology|May 5, 2026
Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German CohortSebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, et al.
Radiology. Artificial Intelligence|August 6, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure DelineationHartmut Häntze, Lina Xu, Christian J Mertens, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|June 30, 2023
Effects of spaced k-mers on alignment-free genotypingHartmut Häntze, Paul Horton
European Radiology Experimental|September 20, 2025
MRI annotation using an inversion-based preprocessing for CT model adaptationHartmut Häntze, Lina Xu, Maximilian Nikolas Rattunde, et al.
Academic Radiology|January 7, 2025
Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural NetworksFares Al Mohamad, Leonhard Donle, Felix Dorfner, et al.
RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
The Lancet Regional Health. Europe|June 9, 2025
Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational studySebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, et al.
Radiology|June 30, 2026
Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German CohortSebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, et al.
Radiology|May 5, 2026
Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German CohortSebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, et al.
Radiology. Artificial Intelligence|August 6, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure DelineationHartmut Häntze, Lina Xu, Christian J Mertens, et al.
Pageof 1