DyABD: The Abdominal Muscle Segmentation in Dynamic MRI Benchmark
Fuente:
arXiv
Saved in:
| Main Authors: | Belton, Niamh, Joppin, Victoria, Lawlor, Aonghus, Masson, Catherine, Bege, Thierry, Bendahan, David, Curran, Kathleen M. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
by: Belton, Niamh, et al.
Published: (2024)
by: Belton, Niamh, et al.
Published: (2024)
A review of ventral hernia biomechanics
by: Joppin, Victoria, et al.
Published: (2026)
by: Joppin, Victoria, et al.
Published: (2026)
Biomechanics of the abdominal wall before and after ventral hernia repair using dynamic MRI
by: Joppin, Victoria, et al.
Published: (2026)
by: Joppin, Victoria, et al.
Published: (2026)
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
by: Belton, Niamh, et al.
Published: (2024)
by: Belton, Niamh, et al.
Published: (2024)
Towards a better understanding of abdominal wall biomechanics: in vivo relationship between dynamic intra-abdominal pressure and magnetic resonance imaging measurements
by: Joppin, Victoria, et al.
Published: (2025)
by: Joppin, Victoria, et al.
Published: (2025)
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation
by: Ma, Siteng, et al.
Published: (2024)
by: Ma, Siteng, et al.
Published: (2024)
Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
by: Krishnaswamy, Deepa, et al.
Published: (2025)
by: Krishnaswamy, Deepa, et al.
Published: (2025)
Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI
by: Tran, Nicole, et al.
Published: (2025)
by: Tran, Nicole, et al.
Published: (2025)
Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging
by: Ma, Siteng, et al.
Published: (2025)
by: Ma, Siteng, et al.
Published: (2025)
Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
by: Wang, Fangyijie, et al.
Published: (2025)
by: Wang, Fangyijie, et al.
Published: (2025)
ABRA: Agent Benchmark for Radiology Applications
by: Maksudov, Bulat, et al.
Published: (2026)
by: Maksudov, Bulat, et al.
Published: (2026)
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net
by: Wang, Fangyijie, et al.
Published: (2024)
by: Wang, Fangyijie, et al.
Published: (2024)
Linea alba 3D morphometric variability by CT scan exploration
by: Gueroult, P., et al.
Published: (2025)
by: Gueroult, P., et al.
Published: (2025)
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
by: Wang, Fangyijie, et al.
Published: (2023)
by: Wang, Fangyijie, et al.
Published: (2023)
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach
by: Hashmi, Anam, et al.
Published: (2024)
by: Hashmi, Anam, et al.
Published: (2024)
Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction
by: Hashmi, Anam, et al.
Published: (2025)
by: Hashmi, Anam, et al.
Published: (2025)
Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound
by: Wang, Fangyijie, et al.
Published: (2026)
by: Wang, Fangyijie, et al.
Published: (2026)
Cross-Modal Knowledge Distillation for PET-Free Amyloid-Beta Detection from MRI
by: Chiumento, Francesco, et al.
Published: (2026)
by: Chiumento, Francesco, et al.
Published: (2026)
Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)
by: Wang, Fangyijie, et al.
Published: (2025)
An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan
by: Liu, Mengyuan, et al.
Published: (2025)
by: Liu, Mengyuan, et al.
Published: (2025)
DyGLNet: Hybrid Global-Local Feature Fusion with Dynamic Upsampling for Medical Image Segmentation
by: Zhao, Yican, et al.
Published: (2025)
by: Zhao, Yican, et al.
Published: (2025)
Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset
by: Bayer, Lukas, et al.
Published: (2026)
by: Bayer, Lukas, et al.
Published: (2026)
MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head
by: Wang, Fangyijie, et al.
Published: (2024)
by: Wang, Fangyijie, et al.
Published: (2024)
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking
by: Ludwig, Connor, et al.
Published: (2025)
by: Ludwig, Connor, et al.
Published: (2025)
Benchmarking the Reproducibility of Brain MRI Segmentation Across Scanners and Time
by: Kondrateva, Ekaterina, et al.
Published: (2025)
by: Kondrateva, Ekaterina, et al.
Published: (2025)
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
by: Assefa, Maregu, et al.
Published: (2025)
by: Assefa, Maregu, et al.
Published: (2025)
DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology
by: Zhao, Leiyue, et al.
Published: (2025)
by: Zhao, Leiyue, et al.
Published: (2025)
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
by: Huang, Ziyan, et al.
Published: (2023)
by: Huang, Ziyan, et al.
Published: (2023)
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
by: Ciausu, Cosmin, et al.
Published: (2024)
by: Ciausu, Cosmin, et al.
Published: (2024)
PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling
by: Zheng, Xiaoyun, et al.
Published: (2024)
by: Zheng, Xiaoyun, et al.
Published: (2024)
HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics
by: Tateno, Masatoshi, et al.
Published: (2025)
by: Tateno, Masatoshi, et al.
Published: (2025)
Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?
by: Hashmi, Anam, et al.
Published: (2026)
by: Hashmi, Anam, et al.
Published: (2026)
LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation
by: Ji, Haoyu, et al.
Published: (2026)
by: Ji, Haoyu, et al.
Published: (2026)
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
by: Yang, Jin, et al.
Published: (2024)
by: Yang, Jin, et al.
Published: (2024)
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
by: Zhuang, Yan, et al.
Published: (2024)
by: Zhuang, Yan, et al.
Published: (2024)
SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI
by: Colglazier, Roy, et al.
Published: (2025)
by: Colglazier, Roy, et al.
Published: (2025)
Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
by: Maksudov, Bulat, et al.
Published: (2025)
by: Maksudov, Bulat, et al.
Published: (2025)
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
by: Bilic, Anthony, et al.
Published: (2024)
by: Bilic, Anthony, et al.
Published: (2024)
Frequency Domain Unlocks New Perspectives for Abdominal Medical Image Segmentation
by: Han, Kai, et al.
Published: (2025)
by: Han, Kai, et al.
Published: (2025)
CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
by: Peng, Linkai, et al.
Published: (2026)
by: Peng, Linkai, et al.
Published: (2026)
Similar Items
-
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
by: Belton, Niamh, et al.
Published: (2024) -
A review of ventral hernia biomechanics
by: Joppin, Victoria, et al.
Published: (2026) -
Biomechanics of the abdominal wall before and after ventral hernia repair using dynamic MRI
by: Joppin, Victoria, et al.
Published: (2026) -
Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
by: Belton, Niamh, et al.
Published: (2024) -
Towards a better understanding of abdominal wall biomechanics: in vivo relationship between dynamic intra-abdominal pressure and magnetic resonance imaging measurements
by: Joppin, Victoria, et al.
Published: (2025)