Cover Image

Reconstruction of 3D lumbar spine models from incomplete segmentations using landmark detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Blomenkamp, Lara, Kramer, Ivanna, Bauer, Sabine, Weirauch, Kevin, Paulus, Dietrich
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spinal ligaments detection on vertebrae meshes using registration and 3D edge detection
by: Kramer, Ivanna, et al.
Published: (2024)

3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes
by: Kramer, Ivanna, et al.
Published: (2024)

Which images to label for few-shot medical landmark detection?
by: Quan, Quan, et al.
Published: (2021)

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
by: Salari, Soorena, et al.
Published: (2024)

Lumbar spine segmentation in MR images: a dataset and a public benchmark
by: van der Graaf, Jasper W., et al.
Published: (2023)

3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
by: Takhtkeshha, Narges, et al.
Published: (2025)

Enhancing the automatic segmentation and analysis of 3D liver vasculature models
by: Machta, Yassine, et al.
Published: (2024)

PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound
by: Li, Hao, et al.
Published: (2024)

A 3D generative model of pathological multi-modal MR images and segmentations
by: Fernandez, Virginia, et al.
Published: (2023)

A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks
by: Nader, Rafic, et al.
Published: (2024)

Reconstruction-free segmentation from undersampled k-space using transformers
by: Zhang, Yundi, et al.
Published: (2025)

Phase-Corrected Near-Field Microwave Imaging via Inverse Source Reconstruction with Modulated Signals
by: Wang, Quanfeng, et al.
Published: (2026)

Generative augmentations for improved cardiac ultrasound segmentation using diffusion models
by: Van De Vyver, Gilles, et al.
Published: (2025)

Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet
by: Rasoulian, Amirhossein, et al.
Published: (2023)

3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation
by: Li, Yingtai, et al.
Published: (2023)

On generalisability of segment anything model for nuclear instance segmentation in histology images
by: Xu, Kesi, et al.
Published: (2024)

High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models
by: Rodrigues, Livia, et al.
Published: (2024)

Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion models
by: Ren, Tianyi, et al.
Published: (2024)

Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)
by: Waldmannstetter, Diana, et al.
Published: (2023)

Extending 2D foundational DINOv3 representations to 3D segmentation of neonatal brain MR images
by: Usman, Annayah, et al.
Published: (2026)

Improving 3D deep learning segmentation with biophysically motivated cell synthesis
by: Bruch, Roman, et al.
Published: (2024)

Are foundation models efficient for medical image segmentation?
by: Ferreira, Danielle, et al.
Published: (2023)

QSM-RimDS: A detection and segmentation tool for paramagnetic rim lesions in multiple sclerosis
by: Luu, Ha, et al.
Published: (2024)

Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentation
by: Jollans, Lee, et al.
Published: (2023)

NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface
by: Zhu, Chengrui, et al.
Published: (2025)

Rule-based outlier detection of AI-generated anatomy segmentations
by: Krishnaswamy, Deepa, et al.
Published: (2024)

Object Learning and Robust 3D Reconstruction
by: Sabour, Sara
Published: (2025)

Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
by: Al-Battal, Abdullah F., et al.
Published: (2024)

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
by: Liu, Mingxuan, et al.
Published: (2026)

Region of interest detection for efficient aortic segmentation
by: Giordano, Loris, et al.
Published: (2026)

Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations
by: Muffoletto, Marica, et al.
Published: (2025)

NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation
by: Sørensen, Kristine, et al.
Published: (2025)

Model-based Dynamic 3D MRI Reconstructions using Neural Fields and Tensor Product Expansions
by: Sheombarsing, Ray, et al.
Published: (2026)

Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
by: Moradinasab, Nazanin, et al.
Published: (2023)

Improving the generalization of deep learning models in the segmentation of mammography images
by: Hurtado, Jan, et al.
Published: (2025)

Promptable cancer segmentation using minimal expert-curated data
by: Karam, Lynn, et al.
Published: (2025)

Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models
by: Saillard, Emile, et al.
Published: (2024)

Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion
by: Wang, Shengze, et al.
Published: (2024)

In search of truth: Evaluating concordance of AI-based anatomy segmentation models
by: Giebeler, Lena, et al.
Published: (2025)

Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
by: Morano, José, et al.
Published: (2023)