Copertina

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wuts, Joris, Ceranka, Jakub, Michoux, Nicolas, Lecouvet, Frédéric, Vandemeulebroucke, Jef
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
di: Xu, Murong, et al.
Pubblicazione: (2025)

Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
di: Kolokolnikov, Georgii, et al.
Pubblicazione: (2025)

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

Anatomy-Aware Lymphoma Lesion Detection in Whole-Body PET/CT
di: Bendazzoli, Simone, et al.
Pubblicazione: (2025)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
di: Qayyum, Abdul, et al.
Pubblicazione: (2024)

TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI
di: D'Antonoli, Tugba Akinci, et al.
Pubblicazione: (2024)

ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging
di: Takaya, Eichi, et al.
Pubblicazione: (2025)

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
di: Kirchhoff, Yannick, et al.
Pubblicazione: (2025)

Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
di: Peiris, Himashi, et al.
Pubblicazione: (2025)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning
di: Wu, Ruoyou, et al.
Pubblicazione: (2024)

Anatomy-Guided Surface Diffusion Model for Alzheimer's Disease Normative Modeling
di: Zhang, Jianwei, et al.
Pubblicazione: (2024)

Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations
di: Frac, Jakub, et al.
Pubblicazione: (2025)

Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution
di: Bhattacharya, Moinak, et al.
Pubblicazione: (2025)

Anatomically and Metabolically Informed Diffusion for Unified Denoising and Segmentation in Low-Count PET Imaging
di: Xia, Menghua, et al.
Pubblicazione: (2025)

Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
di: Blumenthal, Moritz, et al.
Pubblicazione: (2024)

Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
di: Jeon, Young Seok, et al.
Pubblicazione: (2024)

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
di: Gu, Hanxue, et al.
Pubblicazione: (2024)

Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models
di: Qin, Shihua, et al.
Pubblicazione: (2024)

A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT
di: Guo, Dazhou, et al.
Pubblicazione: (2025)

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation
di: Wu, Linshan, et al.
Pubblicazione: (2024)

VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction
di: Zhu, Xin, et al.
Pubblicazione: (2025)

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation
di: Mazher, Moona, et al.
Pubblicazione: (2025)

Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction
di: Janjusevic, Nikola, et al.
Pubblicazione: (2025)

SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
di: Hu, Yuyang, et al.
Pubblicazione: (2022)

Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision
di: Dhar, Aryan, et al.
Pubblicazione: (2025)

Human Body Segment Volume Estimation with Two RGB-D Cameras
di: Bassani, Giulia, et al.
Pubblicazione: (2025)

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
di: Ferreira, André, et al.
Pubblicazione: (2025)

Improving Deep Learning for Accelerated MRI With Data Filtering
di: Lin, Kang, et al.
Pubblicazione: (2025)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations
di: Ma, Qiang, et al.
Pubblicazione: (2024)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
di: Zhang, Feifei, et al.
Pubblicazione: (2025)

Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
di: Vajiram, Jayanthi, et al.
Pubblicazione: (2024)

Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
di: Borrego, Lucia, et al.
Pubblicazione: (2026)

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
di: Xu, Siying, et al.
Pubblicazione: (2026)

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
di: Yang, Jiaxin, et al.
Pubblicazione: (2025)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
di: Feng, Anqi, et al.
Pubblicazione: (2024)

Low-Cost and Detunable Wireless Resonator Glasses for Enhanced Eye MRI with Concurrent High-Quality Whole Brain MRI
di: Lu, Ming, et al.
Pubblicazione: (2025)

Leveraging Information Divergence for Robust Semi-Supervised Fetal Ultrasound Image Segmentation
di: Wang, Fangyijie, et al.
Pubblicazione: (2025)

VIBESegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank
di: Graf, Robert, et al.
Pubblicazione: (2024)

Self-Supervised Noise Adaptive MRI Denoising via Repetition to Repetition (Rep2Rep) Learning
di: Janjušević, Nikola, et al.
Pubblicazione: (2025)

Adversarial Deep Learning for Simultaneous Segmentation of Ventricular and White Matter Hyperintensities in Clinical MRI
di: Bawil, Mahdi Bashiri, et al.
Pubblicazione: (2025)