Hendrik Kristian Möller
According to our database1,
Hendrik Kristian Möller authored at least 24 papers
between 2023 and 2026.
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Bibliography
2026
Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation.
CoRR, May, 2026
One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation.
CoRR, May, 2026
CoRR, April, 2026
VERIDAH: Solving Enumeration Anomaly Aware Vertebra Labeling across Imaging Sequences.
CoRR, January, 2026
Geometry alone? Evaluating the predictive capability of morphed intervertebral disc FEM models with a single material configuration.
Comput. Biol. Medicine, 2026
PARASIDE: An automatic paranasal sinus segmentation and structure analysis tool for magnetic resonance imaging.
Comput. Biol. Medicine, 2026
2025
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT.
CoRR, December, 2025
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography.
CoRR, July, 2025
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.
CoRR, July, 2025
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis.
CoRR, June, 2025
CoRR, May, 2025
CoRR, February, 2025
PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI.
CoRR, January, 2025
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc.
Comput. Biol. Medicine, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine.
Proceedings of the Digital Twin for Healthcare - First International Workshop, 2025
2024
Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model.
CoRR, 2024
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder.
CoRR, 2024
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images.
CoRR, 2024
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR, 2024
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024
2023
CoRR, 2023
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR, 2023